Capability Atlas

The full capability atlas.

Example building blocks across three engineering layers, every one a real, shippable component we assemble around your business. Click any one to see what is underneath.

We architect and design your AI System Engine around your company's own processes, tools and needs. Dedicated, engineered and built for you, not sold off a shelf.

These are examples of the systems we design. FlowNest does not sell off-the-shelf agents; we build a dedicated system for each company, engineered around your specific needs, processes and tools. What we build for you may combine several of these, or be something not shown here.

Every capability, in full.

The atlas above is the visual way in. Below is the same catalogue written out, 35 components across three layers, so you can read, search or link to any one of them directly.

AI Systems

The engineered foundations beneath your agents and workflows: knowledge, memory, model access, and the advanced layers that let a system learn, optimise and police itself.

RAG Knowledge Base

Instant, source-cited answers drawn from everything your business knows.

What it is

Your business already holds the answers to most of the questions your team asks each day. They are just scattered across documents, contracts, past projects and inboxes. This system brings that knowledge into one trustworthy place, so anyone can ask a question in plain English and get a clear answer back, with a direct link to the exact source it came from. Nothing is invented, and no one has to take an answer on trust.

How it works

We securely connect to the places your knowledge already lives and bring it into one private, searchable index. When a question comes in, the system finds the most relevant passages by meaning rather than exact words, ranks them, and composes a grounded answer that cites its sources. Access is controlled by role, so each person sees only what they are permitted to, and the index refreshes as your content changes so answers never go stale.

What it does

  • Brings knowledge together from documents, records, messages and inboxes
  • Finds answers by meaning, not just matching keywords
  • Cites the exact source behind every answer, so nothing is guessed
  • Shows each person only what their role is permitted to see
  • Refreshes automatically as your content changes, with stale-content detection
  • Reports retrieval quality so you can see it working

Where it has been used

  • A 200-person consultancy reclaims about six hours per consultant each week Indexed 14 years of past work, so new staff answer client questions in minutes instead of interrupting senior colleagues.
  • A healthcare provider answers policy questions without a help desk A staff assistant grounded only in the approved policy library, with guardrails that stop it speculating beyond cited sources. Policy-team email fell 62%.
  • A law firm produces first-draft research memos in minutes Every paragraph links to its source, so associates review rather than write from scratch.

Built with: vector store, language model, relevance re-ranker, workflow orchestration engine, object storage

Part of AI systems. Ask whether this fits your process.

Model Orchestration & Routing

The right level of intelligence for each task, chosen automatically.

What it is

Not every task needs the most powerful, most expensive intelligence. This system looks at each request and quietly sends it to the most suitable option: quick, low-cost handling for simple work, and heavier reasoning for the hard cases. If one route becomes unavailable, it switches automatically so nothing breaks.

How it works

A routing layer sits in front of every request and decides, in real time, how much intelligence the task actually needs. Simple requests take a fast, economical path; complex ones are escalated to deeper reasoning. The same layer watches cost, speed and quality, balances load, and fails over instantly if a route goes down, all without changing anything in the applications that depend on it.

What it does

  • Matches each task to the most cost-effective level of intelligence
  • Keeps working if one route becomes unavailable, with instant failover
  • Cuts running costs, often substantially, without losing quality
  • Lets you trial a new option safely before switching fully
  • Balances load so busy periods stay fast
  • Reports cost and performance per task type

Where it has been used

  • A software business cuts its AI running costs by well over half Simple requests took a cheaper path and only hard cases used premium reasoning, and quality went up because each task used the right tool.
  • A service stays online through a provider outage Automatic failover rerouted traffic in seconds; customers noticed nothing.
  • A team trials a new option with zero risk A small share of traffic was routed to the new option and compared on quality before any full switch.

Built with: model routing layer, language model, model serving runtime, edge compute, metrics

Part of AI systems. Ask whether this fits your process.

Memory & Context Layer

AI that remembers your customers, across every conversation and channel.

What it is

Most AI forgets everything the moment a conversation ends. This layer gives your assistants a proper memory, so they remember a customer's name, their preferences, the issue they had last month and the promise your team made. Every interaction feels personal instead of starting from zero.

How it works

As conversations happen, the important details are captured and stored against each customer in a private, structured memory. When that customer returns, on any channel, the relevant history is retrieved and given to the assistant before it responds. You control what is remembered and for how long, and a customer's data can be removed on request for compliance.

What it does

  • Remembers each customer across calls, chats and months
  • Keeps a tidy record your team can read at a glance
  • Carries context between channels, so nobody repeats themselves
  • Lets customers have their data removed on request
  • Makes every interaction feel personal, not generic
  • Keeps memory private and under your control

Where it has been used

  • A financial adviser's clients feel genuinely known The assistant recalled each client's goals and life events across years, so digital conversations felt personal for the first time.
  • A support line stops making customers repeat themselves Context carried from chat to phone to email, cutting handling time and frustration.
  • A booking service greets returning customers by preference Remembered past choices and suggested the right option immediately.

Built with: vector store, in-memory cache, long-term memory design, language model, database, custom services

Part of AI systems. Ask whether this fits your process.

Tool-Use & Function Calling

The step that lets AI do things in your systems, not just talk about them.

What it is

This is what turns a chatbot into something that actually gets work done. We give the AI a safe, controlled set of actions it can take in your real systems, booking an appointment, issuing a refund, updating a record, with previews, guardrails and a full log of everything it touched.

How it works

Each action the AI is allowed to take is defined as a controlled tool with clear limits. Before anything important happens, the system can show a preview and require approval. Safeguards make it impossible to repeat an action by accident, and every step is logged with what was done and when, so you always have a complete, auditable record.

What it does

  • Lets AI take real, controlled actions in your tools
  • Shows a preview before anything important happens
  • Makes accidental duplicate actions impossible
  • Restricts each action to clear, approved limits
  • Logs every action with full detail for audit
  • Escalates anything outside the rules to a person

Where it has been used

  • An operations assistant issues refunds safely It could refund within a set limit, showed a preview first, and could never double-refund. Every action was logged for finance.
  • A scheduling assistant books and reschedules live Real calendar changes happened in the conversation, inside strict rules.
  • A records assistant keeps systems in step Updates were written to the right place automatically, with a full trail.

Built with: model tool-use layer, schema validation, workflow orchestration engine, service API layer, payments

Part of AI systems. Ask whether this fits your process.

Eval Harnesses & Monitoring

Proof your AI is performing, checked every day, not just on launch day.

What it is

AI quietly drifts over time as data and usage change. This is the quality-control system that constantly checks your AI against a set of known-good answers, scores how it is doing, and warns you the moment quality slips, so you are never flying blind.

How it works

We build a set of gold-standard examples that define what good looks like for your use case. Every change is scored against them before it ships, and a sample of live traffic is scored continuously to catch drift. If quality drops, you get an alert and can roll back in minutes, and the same scores give you evidence to show auditors the system is working.

What it does

  • Checks your AI every day against a set of correct answers
  • Catches a drop in quality before your customers do
  • Scores every change before it is allowed to go live
  • Lets you roll back a bad change in minutes
  • Gives you reports to demonstrate the system is working
  • Tracks quality trends over time, not just today

Where it has been used

  • A support AI's quality dip is caught within minutes An automatic daily check flagged a 12% drop the morning after a change; it was rolled back in four minutes.
  • A regulated firm passes audit with evidence Continuous scoring produced a clear record that the system performed within policy.
  • A team ships changes with confidence Every update was scored before release, so nothing went live worse than before.

Built with: evaluation harness, evaluation platform, language model, custom services, monitoring dashboards, product analytics

Part of AI systems. Ask whether this fits your process.

API Gateway & Spend Controls

One controlled doorway for all your AI, with no surprise bills.

What it is

As AI spreads through a business, costs and access scatter and become hard to see. This puts everything behind one controlled entrance with budgets, limits and a single off-switch, so you always know who is using what, and nothing ever runs up an unexpected bill.

How it works

Every AI request in your business flows through one gateway. It applies budgets and rate limits per team or feature, records usage centrally, and can shut off a runaway process before it costs anything. Because it sits in one place, you get complete visibility and control without touching the individual applications.

What it does

  • Brings every AI usage point together in one place
  • Sets hard spending limits per team or feature
  • Stops a runaway process before it runs up a bill
  • Shows exactly who is using what, and what it costs
  • Keeps a complete record for finance and compliance
  • Gives you a single off-switch if anything goes wrong

Where it has been used

  • A 60-person firm cuts quarterly AI spend by nearly a quarter Bringing scattered usage into one gateway revealed forgotten experiments, which were switched off.
  • Finance finally sees AI cost per team Central reporting made spend transparent and easy to budget.
  • A runaway process is stopped before it bites A hard limit caught an unusual spike automatically.

Built with: model routing layer, edge compute, database, monitoring dashboards, policy engine, secrets management

Part of AI systems. Ask whether this fits your process.

AI Document Generation

Proposals, quotes and contracts, drafted for you in your own voice.

What it is

If your team keeps rewriting the same proposals, quotes, contracts and reports, this does the heavy lifting. It pulls the details from your records, applies your approved wording and pricing, and produces a near-final document that sounds like your firm. Your team simply reviews and sends.

How it works

From a short input, or a trigger in your systems, the generator assembles the right document: it draws client details and pricing from your records, applies templates you have approved, and writes in your firm's tone learned from past documents. The finished draft can flow straight to e-signature or your document store, so the whole path from request to signature is one smooth process.

What it does

  • Drafts a near-final document from a short input
  • Writes in your firm's own tone, learned from past work
  • Pulls the right details and pricing from your records
  • Includes the correct sections for each client and deal
  • Flows straight to e-signature or your document store
  • Keeps every document consistent and on-brand

Where it has been used

  • A consultancy cuts proposal writing from four hours to fifteen minutes Senior staff now review a draft instead of starting from a blank page, and proposals are more consistent.
  • A services firm turns quotes around same-day Quotes assembled from live pricing and sent for signature within the hour.
  • A team removes copy-paste errors from contracts Approved clauses were applied automatically, every time.

Built with: language model, e-signature, workflow orchestration engine, document generation, document conversion, object storage

Part of AI systems. Ask whether this fits your process.

AI Data Extraction from Emails & PDFs

Inbound paperwork turned into clean, filed data, automatically.

What it is

Invoices, forms, PDFs and emails arrive constantly and someone has to read them and type the details into a system. This reads them for you, pulls out the information that matters, and files it in the right place, with anything uncertain flagged for a quick human check.

How it works

As documents arrive, the system reads them, whether scanned, PDF or email, and extracts the fields you care about, scoring how confident it is about each one. Confident results are written straight into your systems; anything unclear is routed to a person to confirm. The result is clean, structured data with no manual typing and a human check only where it is genuinely needed.

What it does

  • Reads scanned documents, PDFs and email attachments
  • Pulls out the key details and checks its own confidence
  • Files clean data straight into your systems
  • Flags anything unclear for a person to confirm
  • Handles high volumes without adding headcount
  • Keeps an audit trail of what was extracted

Where it has been used

  • An accountancy firm processes 800 invoices a month with one part-time admin The system extracts and files each invoice; the admin only reviews the handful it is unsure about.
  • An operations team clears its form backlog Application forms were read and filed automatically into the right records.
  • A finance team ends manual invoice entry Line items were extracted and posted, with exceptions flagged.

Built with: language model, document data extraction, workflow orchestration engine, database, accounting system

Part of AI systems. Ask whether this fits your process.

Self-Improving ML System

A system engineered to get measurably better over time, on purpose.

What it is

Most AI performs the same on its last day as its first. This one is built to improve. It scores its own results against the measures you care about, learns from the cases it got wrong, and tunes itself so next month's performance beats last month's. The intelligence stays under your control; it is the system around it that gets sharper.

How it works

The system runs a closed loop. Every result is scored against your success measures, the weakest cases are collected into a growing test set, and the system's own settings are re-tuned and checked against that set. A change is only adopted if it beats the current version on the numbers, and if a change ever underperforms in practice, it is rolled back automatically.

What it does

  • Scores its own output against the measures you care about
  • Learns from the cases it handled poorly
  • Re-tunes and tests itself against a growing set of examples
  • Only adopts a change when it beats the current version
  • Rolls back automatically if a change underperforms
  • Improves month on month without manual rewriting

Where it has been used

  • A support automation lifts self-resolution from 28% to 41% in three months The loop mined every failed case each week and only shipped changes that scored higher, with no manual rewriting.
  • A classification process stops silently degrading Drift was caught and corrected automatically the moment accuracy slipped.
  • A drafting assistant learns a house style over time The share of drafts accepted with no edits roughly doubled over a quarter.

Built with: evaluation harness, evaluation platform, vector store, language model, custom services, monitoring dashboards

Part of AI systems. Ask whether this fits your process.

RL & Optimisation Engine

Drives a target number in the right direction, continuously.

What it is

Point this at a number you want to move, cost down, conversion up, waiting time down, and it keeps experimenting and adjusting to push that number, while staying inside the limits you set. Optimisation becomes something that runs continuously, not a one-off tuning exercise.

How it works

You define the objective and the boundaries it must respect. The engine then runs controlled experiments across different approaches, promotes the ones that improve the number, and drops the ones that do not, always within your cost and quality limits. Every decision is logged with the effect it produced, so you can see exactly what moved the metric and why.

What it does

  • Pushes a chosen target metric, continuously
  • Runs safe, controlled experiments in the background
  • Promotes what works and drops what does not
  • Stays inside firm cost and quality limits
  • Logs every decision and its measured impact
  • Turns optimisation into an ongoing discipline

Where it has been used

  • A service layer cuts cost by well over half while raising quality Each request was continuously routed to the most efficient option that still cleared the quality bar.
  • A checkout flow lifts completion, safely Variants were tested against completion under a strict do-not-annoy limit; the winner emerged in weeks.
  • A support router improves first-contact resolution It learned which cases to handle and which to escalate, tuned against resolution rate.

Built with: model routing layer, model serving runtime, metrics, monitoring dashboards, custom services, database

Part of AI systems. Ask whether this fits your process.

Fine-Tuning & Model Adaptation

Intelligence adapted to your domain, on infrastructure you control.

What it is

When general intelligence is not specific enough, we adapt it to your business, your terminology, your tone and your task. For the strictest privacy needs, this can run entirely on infrastructure you control, so your data never leaves your environment. It comes with the checks needed to prove the adapted version genuinely outperforms the general one.

How it works

We prepare a high-quality set of examples from your own material and use it to adapt the underlying intelligence to your domain. The adapted version is then measured against the general one to prove the improvement is real. Where data sovereignty matters, the whole process runs on isolated infrastructure you control, so nothing is ever sent to a third party.

What it does

  • Adapts to your vocabulary, formats and house style
  • Can run entirely on infrastructure you control
  • Keeps your data inside your own environment
  • Proves the uplift against a general baseline
  • Produces consistent, on-domain results by default
  • Versioned and reproducible for peace of mind

Where it has been used

  • A regulated firm keeps everything in-house Adapted and hosted entirely on the client's own infrastructure, so no material ever left their network.
  • A technical field gets its own language Accuracy on specialist terms rose sharply against a general baseline.
  • A support function bakes in approved answers Tone and policy were right by default, confirmed by the checks.

Built with: self-hosted language model, model fine-tuning method, model serving runtime, model training framework, evaluation harness, containerised deployment

Part of AI systems. Ask whether this fits your process.

Guardrails & Safety Layer

Firm boundaries around what your AI is allowed to do and say.

What it is

Autonomy is only safe with clear limits. This is the safety layer that sits between your AI and the outside world, controlling what it can say, which actions it can take and what data it can touch, and forcing a human decision on anything high-stakes. It is what makes autonomous behaviour safe to deploy in a real business.

How it works

Incoming and outgoing content is checked against your rules, actions are limited to an approved list, and anything the system is unsure about is routed to a person. The rules are written as clear, versioned policy, and every block, allow and escalation is logged, so you have a complete, auditable picture of exactly what the system may and may not do.

What it does

  • Checks input and output against your content and compliance rules
  • Limits actions to an approved list, nothing more
  • Routes uncertain, high-stakes cases to a human
  • Defends against manipulation and data leakage
  • Keeps policy versioned, readable and auditable
  • Logs every decision for a complete record

Where it has been used

  • A customer-facing assistant cannot go off-policy It was prevented from speculating beyond cited sources or making unauthorised commitments; every block was logged.
  • An action-taking assistant has a safe blast radius It could act up to a set limit through approved channels; anything larger queued for sign-off.
  • A regulated workflow passes audit Policy-as-code gave the compliance team a clear, versioned record.

Built with: policy engine, output guardrails, language model, custom services, database, edge compute

Part of AI systems. Ask whether this fits your process.

Observability & Drift Detection

Full visibility into what your AI is doing, and early warning when it slips.

What it is

You cannot trust what you cannot see. This gives you a clear view of every AI interaction, what was asked, what informed the answer, what it cost and how long it took, and warns you the moment quality drifts, before your customers notice.

How it works

Every request is traced end to end and recorded, so you can see exactly what happened and why. A sample of live traffic is scored continuously for quality, and drift or degradation triggers an alert. Clear dashboards show cost, speed and quality per feature and team, and everything can be exported as evidence for audit.

What it does

  • Traces every request from question to answer
  • Scores live traffic for quality, continuously
  • Detects drift and degradation, with alerting
  • Shows cost and speed per feature and team
  • Surfaces quality trends over time
  • Exports clean evidence for audit and compliance

Where it has been used

  • A quality dip is caught the morning it appears Continuous scoring flagged a drop before the support queue ever felt it.
  • A finance team sees AI spend clearly Per-feature dashboards revealed waste, and quarterly cost fell noticeably.
  • An auditor gets the evidence they need Exportable traces showed the system stayed within policy across the period.

Built with: monitoring dashboards, product analytics, tracing, metrics, custom services, database

Part of AI systems. Ask whether this fits your process.

AI Agents

Custom-built operational components within your wider AI system, each one engineered around your workflows, data and tools. Not products off a shelf; capabilities we design to fit how your business actually runs.

Autonomous Reasoning Agent

Takes an open-ended goal and works through the steps on its own to reach a result.

What it is

Most automation follows a fixed script and breaks the moment reality does not match it. A reasoning agent is different: given an outcome to achieve, it works out the steps itself, decides what to do first, and adapts as the situation changes. This is what lets it handle work that is too varied for rigid rules.

How it works

You hand it a goal and the tools it is allowed to use. It plans an approach, takes the first step, checks the result, and decides the next step from there, adjusting as it goes. It works within firm limits you set, and comes back to you when the job is done or a decision genuinely needs a person.

What it does

  • Turns an open goal into its own plan
  • Decides the order and approach itself
  • Adapts when the situation changes
  • Handles work too varied for fixed rules
  • Checks its own results as it goes
  • Escalates to a person when needed

Where it has been used

  • A complex back-office process runs without a script The agent worked out each case on its own instead of failing on anything unexpected.
  • A varied request queue is handled end to end Each item was planned and completed individually, not forced through one rigid flow.

Built with: reasoning engine, tool-use layer, guardrails, audit trail

Part of AI agents. Ask whether this fits your process.

Multi-Agent Orchestrator

Coordinates a team of specialist agents, dividing the work and checking each output.

What it is

Some jobs are too big for a single agent. An orchestrator breaks the work down, assigns each part to the right specialist agent, and has them check each other before it moves on. Humans approve at the points that matter, and firm limits stop the whole system before it overspends.

How it works

A planner splits the goal into tasks and hands each to a specialist agent. They share a common memory, pass work between each other, and a reviewer challenges the output before it is accepted. Every step is recorded so the whole run can be replayed.

What it does

  • Breaks big jobs into specialist tasks
  • Coordinates and checks each agent
  • Brings a human in at key decisions
  • Shares context cleanly between agents
  • Stops before it overspends
  • Records every step for traceability

Where it has been used

  • A large piece of work is delivered reliably Research, drafting and review agents coordinated end to end, each checked by the next.
  • A multi-stage process runs unattended Specialists handed work between themselves, escalating only key decisions.

Built with: agent orchestration framework, shared memory, reviewer agent, audit trail

Part of AI agents. Ask whether this fits your process.

Research & Synthesis Agent

Gathers information from many sources, verifies it, and produces a clean, cited brief.

What it is

Instead of a person spending hours reading and summarising, this agent gathers the relevant information, checks it, and assembles a concise brief with a source behind every point. It runs ahead of a meeting or on demand, so your team always walks in prepared.

How it works

Triggered by a meeting or a new enquiry, the agent gathers relevant information, cross-checks it, and writes a short brief with a source on every point. It can refresh to show exactly what has changed since last time.

What it does

  • Pulls information from many sources
  • Verifies and cites every point
  • Produces a clean, one-page brief
  • Runs automatically before meetings
  • Refreshes to show what has changed
  • Saves hours of manual preparation

Where it has been used

  • A team walks into every meeting prepared Each brief arrived with the key facts and a source on every one.
  • Account reviews start from the latest picture A refreshed brief showed exactly what had changed.

Built with: web research, verification layer, summarisation, knowledge store

Part of AI agents. Ask whether this fits your process.

Voice Agent

Holds a real-time phone conversation and takes actions live during the call.

What it is

A phone agent quick enough to hold a real conversation, answering calls around the clock. It understands what the caller needs, takes real action mid-call, checking availability, booking, capturing details, then writes the outcome back into your systems.

How it works

The agent listens and responds in real time, fast enough to feel natural. During the call it can act, and afterwards it writes the outcome, intent and sentiment back into your systems. Clear rules decide when to hand over to a person, carrying full context.

What it does

  • Answers every call, day and night
  • Books and acts live during the call
  • Writes the outcome back to your systems
  • Hands over to a person when needed
  • Speaks in your chosen voice
  • Never misses a call at busy times

Where it has been used

  • An estate agency lifts booked viewings by 40% The agent qualified callers and booked viewings around the clock.
  • A clinic ends missed-call losses Every after-hours call was answered and booked.

Built with: real-time voice transport, speech transcription, speech synthesis, telephony

Part of AI agents. Ask whether this fits your process.

Outreach Agent

Researches each prospect and drafts genuinely personal messages for your approval.

What it is

Real personalisation at a volume no one could keep up with by hand. For each prospect, the agent finds a genuine, specific reason to get in touch and drafts a short message in your voice. Nothing sends without your approval, and it stops the moment someone replies.

How it works

For each prospect the agent researches enough to find a specific angle, then drafts a short message in your voice. Nothing sends without your approval, and the moment someone replies, outreach to that person stops and hands to you.

What it does

  • Researches each prospect first
  • Drafts in your own voice and style
  • Waits for your approval before sending
  • Stops the moment someone replies
  • Keeps outreach personal at volume
  • Protects your brand and reputation

Where it has been used

  • A founder sends dozens of personal messages a week Each referenced something specific, lifting reply rates well above mass sends.
  • A small team punches above its weight Personalised outreach reached far more prospects without extra headcount.

Built with: prospect research, draft generation, approval step, delivery

Part of AI agents. Ask whether this fits your process.

Support Resolution Agent

Works a customer request end to end, resolving the routine and escalating the rest.

What it is

Sitting inside your support process, the agent drafts a reply to every request from your help material and past answers. It safely resolves the routine, low-risk ones on its own, and leaves a ready draft for the rest, adjusting its tone for upset customers.

How it works

For each request the agent drafts a reply grounded in your help content and previous resolutions. Low-risk, high-confidence cases can be sent automatically; everything else is left as a draft for a human. It escalates cleanly with full context and learns from the replies your team corrects.

What it does

  • Drafts a reply on every request
  • Resolves routine cases on its own
  • Adjusts its tone for upset customers
  • Escalates cleanly, with full context
  • Learns from the replies it got wrong
  • Cuts response times dramatically

Where it has been used

  • A support team resolves a third of requests automatically Routine cases were handled safely, cutting median response time from hours to seconds.
  • Agents stop writing from a blank page A ready draft on every ticket made the team far faster.

Built with: knowledge grounding, draft generation, confidence scoring, helpdesk integration

Part of AI agents. Ask whether this fits your process.

Scheduling & Coordination Agent

Handles booking, rescheduling and diary coordination across people.

What it is

The agent offers the right availability, confirms bookings, sends reminders to cut no-shows, and handles rescheduling and cancellations so your calendar and records always stay in step. For anything involving several people, it coordinates the diaries and finds a slot that works.

How it works

The agent offers the right slots, confirms and reminds, and updates the calendar and your records together when anything changes. For multi-person meetings it checks each diary and proposes a time that works for everyone.

What it does

  • Books and reschedules automatically
  • Sends timely reminders to cut no-shows
  • Keeps calendar and records in step
  • Coordinates across several diaries
  • Removes booking back-and-forth
  • Handles cancellations cleanly

Where it has been used

  • A clinic cuts no-shows with automatic reminders Timely reminders and easy rescheduling kept the diary full.
  • A team ends scheduling back-and-forth The agent found a slot that worked across several diaries.

Built with: scheduling, calendar integration, reminders, records sync

Part of AI agents. Ask whether this fits your process.

Workflow-Triggering Agent

Decides when something needs to happen and starts the right process at the right moment.

What it is

Sitting across your operations, this agent watches for the moments that matter and kicks off the right automation exactly when it is needed, then hands back so the wider system carries the work through. It is the judgement layer on top of your automation.

How it works

The agent monitors events across your systems, decides when a process should run, and triggers it at the right moment, then hands off. It is not a timer; it is judgement about when a process should run at all.

What it does

  • Watches for the moments that matter
  • Starts the right process at the right time
  • Hands off cleanly to your automation
  • Adds judgement on top of automation
  • Runs quietly in the background
  • Keeps a record of what it triggered

Where it has been used

  • The right process fires at exactly the right moment The agent decided when to act instead of running on a fixed timer.
  • Nothing waits on a person to notice Events were picked up and acted on automatically.

Built with: event monitoring, decision layer, workflow orchestration engine, audit trail

Part of AI agents. Ask whether this fits your process.

Meeting Intelligence Agent

Joins your calls, captures decisions and actions, and files them into your tools.

What it is

The agent joins the call, produces an accurate record of who said what, then pulls out the decisions, action items and owners. Those are written straight into the tools your team uses, so the follow-up work is ready before the next meeting starts.

How it works

It joins the call, transcribes with speaker labels, and extracts decisions, actions and deadlines. Those are filed straight into the tools your team already uses, with no manual write-up.

What it does

  • Joins your video calls automatically
  • Captures decisions, actions and owners
  • Files everything into your tools
  • Removes manual write-up after calls
  • Keeps a searchable record
  • Nothing slips through the cracks

Where it has been used

  • An agency saves half an hour of write-up per call The record was updated before the next meeting started.
  • Actions stop being forgotten Every decision and owner was captured and filed automatically.

Built with: transcription, action extraction, tool integration, searchable record

Part of AI agents. Ask whether this fits your process.

Website Assistant Agent

A branded assistant on your site that answers, captures leads and books calls.

What it is

Trained on your own services and tone, embedded to match your brand, this assistant answers visitor questions from your approved content and captures their details inside the chat. It can book a call without the visitor leaving the page, and grows into a fuller agent as your needs develop.

How it works

The assistant answers from your approved content, captures name and enquiry inside the chat, and can book a call without the visitor leaving the page. It is built to extend into a fuller agent over time.

What it does

  • Answers from your own content
  • Captures leads inside the chat
  • Books calls without leaving the page
  • Matches your brand, not a generic widget
  • Runs on infrastructure you trust
  • Grows into a fuller agent over time

Where it has been used

  • A B2B firm doubles inbound demo bookings A homepage assistant answered core questions and booked calls instantly.
  • A site turns visitors into captured leads Enquiries were captured in-chat instead of lost on exit.

Built with: knowledge grounding, lead capture, scheduling, brand embed

Part of AI agents. Ask whether this fits your process.

Workflow Automation

Triggered, observable, idempotent processes that connect every tool your team uses, built on n8n, version-controlled, instrumented end-to-end.

CRM Automation

Your customer records kept accurate and up to date, automatically.

What it is

A tidy customer record is the backbone of good sales and service, and keeping it tidy by hand is where teams lose hours. This keeps your records accurate on their own: new enquiries captured, details enriched, activity logged and the right follow-up triggered, so the system reflects reality without anyone maintaining it.

How it works

As activity happens across your channels, the workflow captures it, updates the right record, and triggers the next step automatically, a follow-up task, a notification, a status change. It runs quietly in the background, keeping everything in step, and raises an alert if anything looks wrong.

What it does

  • Captures new enquiries into the right record automatically
  • Keeps details accurate and enriched without manual entry
  • Logs activity and triggers the right follow-up
  • Notifies the right person at the right moment
  • Keeps your systems in step with reality
  • Flags anything that looks wrong

Where it has been used

  • A sales team stops maintaining records by hand Enquiries, activity and follow-ups were captured and logged automatically, freeing hours each week.
  • Nothing slips between first contact and follow-up The right task fired the moment it was needed.
  • Reporting finally reflects reality Records stayed accurate, so the numbers could be trusted.

Built with: workflow orchestration engine, CRM, knowledge source, structured data store, company data enrichment

Part of workflow automation. Ask whether this fits your process.

Appointment & Booking

Bookings, reminders and rescheduling handled from end to end.

What it is

Every manual booking and reminder is time your team could spend elsewhere. This handles the whole cycle: customers book the right slot, get confirmations and reminders, and can reschedule on their own, while your calendar and records stay perfectly in step.

How it works

The workflow offers the right availability, confirms the booking, and sends reminders on a schedule to cut no-shows. If a customer reschedules or cancels, the calendar and your records update together automatically, so there is never a clash or a stale entry, and no one has to chase.

What it does

  • Lets customers book the right slot themselves
  • Sends confirmations and reminders automatically
  • Handles rescheduling and cancellations cleanly
  • Keeps your calendar and records in step
  • Cuts no-shows with timely reminders
  • Removes back-and-forth from booking

Where it has been used

  • A clinic cuts no-shows with automatic reminders Timely reminders and easy rescheduling kept the diary full.
  • A service business ends booking back-and-forth Customers self-served the right slot without a single email exchange.
  • Double-bookings disappear Calendar and records updated together, every time.

Built with: workflow orchestration engine, scheduling, calendar, telephony

Part of workflow automation. Ask whether this fits your process.

Email & Messaging

The right message to the right person at the right moment, on its own.

What it is

Good communication is often just good timing, and timing is exactly what manual sending gets wrong. This sends the right message to the right person at the right moment, welcome sequences, follow-ups, reminders and updates, triggered by what actually happens, not a rigid calendar.

How it works

Messages are triggered by real events, a sign-up, a purchase, a period of silence, and routed to whichever channel suits. Timing and content adapt to how each person responds, and the workflow stops or changes course automatically when someone replies or acts, so nobody gets a message that no longer makes sense.

What it does

  • Sends the right message when something actually happens
  • Reaches people on the channel that suits
  • Adapts timing and content to each person
  • Stops or changes course when someone responds
  • Keeps communication timely without manual effort
  • Protects your sender reputation

Where it has been used

  • A business lifts engagement with well-timed sequences Messages triggered by behaviour landed far better than scheduled blasts.
  • Follow-ups stop being forgotten The right nudge went out automatically at the right time.
  • Customers stop getting irrelevant messages Sequences adjusted the moment someone replied or acted.

Built with: workflow orchestration engine, email delivery, messaging channel, SMS gateway, CRM

Part of workflow automation. Ask whether this fits your process.

Sales Process

Your whole sales path connected, from first enquiry to signed and paid.

What it is

Deals stall in the gaps between steps. This connects the whole path, enquiry, proposal, signature, invoice and payment, so each stage triggers the next automatically and nothing sits waiting for someone to remember it.

How it works

Each stage of your sales process hands off to the next on its own: a qualified enquiry produces a proposal, an approved proposal goes for signature, a signed document raises the invoice, and payment closes the loop, each tracked centrally. The team sees exactly where every deal is, and the workflow chases what is outstanding.

What it does

  • Connects enquiry, proposal, signature, invoice and payment
  • Triggers each stage automatically from the last
  • Tracks exactly where every deal stands
  • Chases what is outstanding without being asked
  • Removes the gaps where deals stall
  • Keeps everything recorded centrally

Where it has been used

  • A firm shortens the path from enquiry to payment Each stage fired the next automatically, so deals stopped stalling in the gaps.
  • Nothing waits on someone remembering Outstanding steps were chased on their own.
  • The team always knows where a deal is Central tracking gave a clear, live picture.

Built with: workflow orchestration engine, document automation, e-signature, payments, accounting system, CRM

Part of workflow automation. Ask whether this fits your process.

Customer Onboarding

A smooth, consistent first experience for every new customer.

What it is

The first few weeks decide whether a customer stays. This makes onboarding smooth and consistent: welcome steps, information gathering, account setup and handover all happen in the right order, on time, for every customer, without your team steering each one by hand.

How it works

When a new customer arrives, the workflow runs the onboarding steps in sequence, welcoming them, collecting what is needed, setting things up, and handing over to the right person, tracking progress as it goes. If a step stalls, it nudges automatically, so every customer gets the same strong start.

What it does

  • Runs every onboarding step in the right order
  • Collects what you need from the customer, on time
  • Sets up accounts and hands over cleanly
  • Nudges automatically if a step stalls
  • Gives every customer the same strong start
  • Tracks progress so nothing is missed

Where it has been used

  • A business gives every customer a consistent start Onboarding ran the same way every time, without manual steering.
  • Setup stops stalling halfway Automatic nudges kept each customer moving.
  • The team hands over cleanly Every new customer reached the right person fully set up.

Built with: workflow orchestration engine, CRM, knowledge source, project management, scheduling, video capture

Part of workflow automation. Ask whether this fits your process.

Customer Support Workflows

Requests captured, routed and resolved, with nothing lost.

What it is

Support falls apart at the seams, requests missed, sent to the wrong place, or left without follow-up. This captures every request, routes it to the right place, tracks it to resolution and keeps the customer informed, so nothing gets lost and standards are met.

How it works

Every request is captured from all your channels into one place, automatically categorised and routed to the right person or team. The workflow tracks it against your response standards, escalates anything at risk of breaching them, and keeps the customer updated, so nothing is dropped and service levels hold.

What it does

  • Captures requests from every channel in one place
  • Routes each to the right person automatically
  • Tracks against your response standards
  • Escalates anything at risk of slipping
  • Keeps the customer informed throughout
  • Ensures nothing is lost or forgotten

Where it has been used

  • A team stops losing requests between channels Everything landed in one place and was routed automatically.
  • Response standards are consistently met At-risk requests were escalated before they breached.
  • Customers always know where things stand Updates went out automatically at each step.

Built with: workflow orchestration engine, helpdesk, customer messaging, team messaging

Part of workflow automation. Ask whether this fits your process.

Internal Operations

The repetitive internal work between your tools, handled quietly.

What it is

A surprising amount of a team's time goes on moving information between systems, chasing approvals and collecting documents. This handles that internal glue automatically, so people spend their time on work that actually needs them, not on shuffling data.

How it works

The workflow connects your internal tools and moves information between them as events happen, requesting approvals, collecting documents, syncing updates and alerting the right person when something needs attention. It runs quietly in the background and keeps a record of everything it did.

What it does

  • Moves information between your tools automatically
  • Requests and tracks approvals
  • Collects documents and syncs updates
  • Alerts the right person when needed
  • Frees people from repetitive internal work
  • Keeps a record of every step

Where it has been used

  • A team reclaims hours of internal admin Approvals, document collection and data syncing ran on their own.
  • Nothing waits on a manual hand-off Information moved between systems the moment it was ready.
  • The right person is alerted at the right time Attention was drawn only where it was genuinely needed.

Built with: workflow orchestration engine, team messaging, productivity suite, knowledge source, integration connector

Part of workflow automation. Ask whether this fits your process.

E-commerce Automation

The moments that drive online revenue, handled automatically.

What it is

Online revenue turns on timing, recovering an abandoned basket, winning back a lapsed customer, asking for a review at the right moment. This handles those moments automatically, so you capture revenue that would otherwise quietly slip away.

How it works

The workflow watches for the moments that matter, an abandoned basket, a first purchase, a quiet spell, and responds at the right time through the right channel: a timely reminder, a win-back, a review request, an upsell. It adapts to how each customer behaves and steps back the moment they act.

What it does

  • Recovers abandoned baskets at the right moment
  • Wins back lapsed customers automatically
  • Requests reviews when customers are happiest
  • Prompts relevant upsells, not random ones
  • Adapts to how each customer behaves
  • Captures revenue that would otherwise slip away

Where it has been used

  • A shop recovers a meaningful share of abandoned baskets Well-timed reminders brought shoppers back to complete their purchase.
  • Lapsed customers return on their own Automatic win-backs re-engaged quiet customers.
  • Reviews arrive at the right moment Requests went out when customers were happiest.

Built with: workflow orchestration engine, e-commerce platform, marketing automation, payments, email delivery

Part of workflow automation. Ask whether this fits your process.

Reporting & Dashboards

The numbers you need, gathered and delivered without the manual work.

What it is

Reporting eats time and still arrives late. This gathers your numbers from across the business automatically and delivers clear, up-to-date reports and dashboards, so decisions are based on current reality rather than last month's spreadsheet.

How it works

The workflow pulls the figures you care about from across your systems, brings them together, and presents them as clear dashboards and scheduled summaries. It refreshes on its own, highlights what has changed, and can flag anything unusual, so the picture is always current and no one spends a day building it by hand.

What it does

  • Gathers numbers from across the business automatically
  • Delivers clear dashboards and scheduled summaries
  • Refreshes on its own, so figures stay current
  • Highlights what has changed and what looks unusual
  • Removes hours of manual report-building
  • Gives everyone the same trusted picture

Where it has been used

  • A team ends manual monthly reporting Dashboards refreshed themselves, freeing a day of spreadsheet work each month.
  • Decisions use current numbers, not last month's Live figures replaced stale spreadsheets.
  • Unusual movements get noticed early The workflow flagged changes worth a closer look.

Built with: workflow orchestration engine, knowledge source, spreadsheet source, analytics dashboard, product analytics, team messaging

Part of workflow automation. Ask whether this fits your process.

IT Workflow Automation

Routine IT tasks, from onboarding to access, handled reliably.

What it is

IT teams lose time to the same routine tasks, setting up new starters, managing access, keeping devices compliant. This handles that routine work reliably and consistently, so your IT people focus on the things that genuinely need them.

How it works

The workflow automates the repeatable parts of IT operations: provisioning new starters, granting and revoking access as roles change, and running routine checks. Each step follows your policy, is logged for audit, and raises a ticket to a person only when something needs a human decision.

What it does

  • Sets up new starters consistently
  • Grants and revokes access as roles change
  • Runs routine checks and keeps things compliant
  • Follows your policy on every step
  • Logs everything for audit
  • Escalates to a person only when needed

Where it has been used

  • An IT team automates joiner and leaver setup New starters were provisioned and leavers de-provisioned reliably, on policy.
  • Access stays correct as roles change Permissions were granted and revoked automatically.
  • Routine compliance runs itself Checks happened on schedule, with a full audit trail.

Built with: workflow orchestration engine, productivity suite, device management, software packaging, identity provider, IT service management

Part of workflow automation. Ask whether this fits your process.

Invoice & Accounts Automation

Invoicing, matching and reminders handled from start to finish.

What it is

Finance admin is repetitive, error-prone and easy to fall behind on. This handles the cycle end to end: invoices raised, incoming bills matched, payments reconciled and reminders sent, so your books stay current and your cash flow stays healthy.

How it works

The workflow raises invoices from the right trigger, reads and matches incoming bills, reconciles payments as they arrive, and chases anything overdue on a schedule. Anything that does not match cleanly is flagged for a person, so the routine flows automatically and humans only handle the exceptions.

What it does

  • Raises invoices automatically from the right trigger
  • Reads and matches incoming bills
  • Reconciles payments as they arrive
  • Chases overdue amounts on schedule
  • Flags anything that does not match for review
  • Keeps your books current and cash flow healthy

Where it has been used

  • A business keeps its books current with far less effort Invoicing, matching and reminders ran automatically, with only exceptions needing a person.
  • Overdue invoices get chased on time Reminders went out on schedule without anyone remembering.
  • Payment matching stops being manual Incoming payments were reconciled as they landed.

Built with: accounting system, language model, receipt capture, workflow orchestration engine, payments

Part of workflow automation. Ask whether this fits your process.

Chat on Telegram