AI workflow systems for service businesses

Stop automating broken workflows.

For consulting firms, agencies and professional-service teams that have outgrown their manual workflows. We redesign the repetitive work between your people, software and clients so fewer things depend on copying, chasing and remembering.

Free audit · No technical knowledge required

The problem

You've added people and software, but the work between those systems is still manual.

Most growing firms already have the tools they need. The drag lives in the gaps between them, and it gets worse with every new client and every new hire.

AI is useful when it fixes that work. Not when it becomes another subscription.

What we build

Systems for the work that repeats every week.

Six areas where service firms lose the most time between tools. Each system is built around how your team already works.

Lead handling and follow-up

Capture inquiries, qualify them, draft the first response and trigger follow-up, so no opportunity waits in an inbox.

Client onboarding

Collect intake information, generate documents, assign work and send updates, so every new client moves through the same steps.

Reporting and administration

Pull data from multiple sources, organise it and prepare the report, instead of rebuilding it by hand every cycle.

Research and document handling

Gather sources, summarise and compare them, and produce the first draft of work that currently takes hours.

Client communication

Turn recordings, documents and team knowledge into repeatable updates, summaries and content your clients actually read.

Custom workflows

When an off-the-shelf tool doesn't fit the process, we design the system around how your business actually operates.

Our approach

We don't start with AI.
We start with the workflow.

Most AI projects start with a tool and go looking for a problem. We start with how the work actually happens, then decide what belongs to people, what belongs to AI, and what belongs to plain automation.

Example: client onboarding at a 20-person firm
Manual

Stays human

Judgement, relationships and anything that changes every time.

  • Scoping call with the client
  • Pricing and contract terms
  • Sign-off on the delivery plan
Hybrid

AI drafts, a person decides

AI does the first 80%. Nothing leaves without review.

  • Kickoff summary drafted from call notes
  • Welcome email drafted for review
  • Risks flagged from intake answers
Automated

Runs on rules

Stable, repeatable steps with a clear right answer.

  • Intake form sent when the contract is signed
  • Client folder and project created
  • Tasks assigned, reminders scheduled
  • Weekly status digest sent

We don't automate unstable processes. If a step changes every time, it stays manual until it settles. Automation comes after the process is clear, not before.

Diagnosis before tools

We map how the work really happens, not how the process document says it should.

Deliberate boundaries

Every step is assigned to a person, to AI, or to rule-based automation, and we can tell you why.

Tool-agnostic

Zapier, Make, an agent, a script or the CRM you already pay for. The workflow decides, not our preferred stack.

More than triggers

Validation, quality checks, routing, research and decision support, added where app-to-app connections fall short.

How it works

Map the work. Design the logic. Build the AI system.

1

Map the workflow

What happens today, step by step. Not how the process is supposed to work. How it really works.

2

Find the bottlenecks

Repetitive work, unnecessary handoffs, delays, duplicated effort and places where information gets lost.

3

Design the system

What AI handles, what traditional automation handles, and where a person stays in control.

4

Build and test

We connect the pieces and test the workflow against the situations it will actually meet.

5

Improve it

Once it runs, we measure what works, fix what doesn't and expand only when it makes sense.

Selected work

Systems, not demos.

We build and run these systems in our own production work. The domain differs from yours. The mechanisms are the ones service firms need: validation, structured generation, routing and review.

Built for: AI avatar video production

Quality control for AI-generated output

Problem
Every generated image and clip needed a manual check for realism errors, and the same flaws were caught inconsistently.
System
Standardised realism checks applied to every output, with failures routed back for regeneration before anyone reviews them.
Operational change
Review moved from ad-hoc checking of everything to one pass against a fixed checklist, with fewer cleanup steps.
Built for: Repeatable AI image and video production

Structured prompt generation

Problem
Prompts were written from scratch for each shot, so quality depended on who wrote them and how much time they had.
System
A prompt system that assembles each prompt from a fixed brief, reference descriptions and shot requirements.
Operational change
Prompt writing became a standard step instead of a craft exercise, and output became consistent enough to review quickly.
Built for: Market and competitor research

Research pipeline

Problem
Researching a market meant hours of manual searching, copying and summarising across scattered sources.
System
A research workflow that gathers sources, extracts the relevant points and produces a structured first draft.
Operational change
Research now starts from an organised draft. Human time goes into judgement, not collection.
Free AI Workflow Audit

Find your first automation opportunity.

You don't need to know which AI tools to use. Start with something repetitive, manual or frustrating inside your business. Tell us how it works today, and we'll review it and come back to you.

Request My AI Workflow Audit →

Free · No obligation

The audit shows you

  • Where the workflow is breaking down
  • Which steps AI could handle
  • What should stay human
  • Whether the workflow is ready for automation
  • The first thing worth fixing
Talk to us

Already know what workflow needs fixing?

Show us how it works today. We'll help you figure out what the better version should look like.

  • A reply from the people who would build it
  • An honest view on whether it's worth automating yet

Tell us about the workflow

A few details and a plain description is plenty.