Identify
AI opportunity audit
Map where work slows down, assess value and feasibility, and leave with a prioritised first move rather than a generic maturity score.
AI consultancy · automation · agents
Intelligence that
We help growing businesses find the workflows where AI earns its place, then design, build and run them with clear ownership and human review.
Platform-agnosticHuman-controlledEvidence-led
Illustrative examples of requests a connected AI workflow could handle: Turn this enquiry into a clear next step. Summarise this week’s open invoices and flag anything overdue. Draft a reply to this customer using our policy documents.
START SMALL. PROVE VALUE.
Begin with one workflow that matters, then build from the evidence.See what we do →What we do
Find the work worth improving.
Every recommendation is tied to a real workflow, an owner and an outcome you can measure. Strategy and implementation stay together.
Build
Automation & AI agents
Design and implement well-scoped systems for customer operations, internal knowledge, documents and recurring decisions.
Operate
AI operations & enablement
Establish ownership, monitoring and training so each system stays reliable, reviewable and useful after launch.
AI services / built around your work
AI services and integrations
for everyday work.
A few examples of what we build. Each engagement is shaped around your workflows, tools and team.
Connect with customers
Chat integrations
Help visitors find answers, clarify what they need and reach the right person with useful context.
Simplify operations
Workflow automation
Connect documents, decisions and business tools in a repeatable process, with review where it matters.
Coordinate expertise
Agent fleets
Coordinate bounded agents for research, analysis and preparation, with explicit ownership and a human decision at the end.
Keep work moving
Background agents
Run scheduled checks, prepare reports and surface exceptions so your team can focus on the work that needs attention.
See it in action / illustrative demo
Agents that use the tools you already have.
Press play to watch one agent resolve a fictional billing enquiry by checking the CRM, team messages and calendar you already use.
Every fact names its source, and the run stops with a person: nothing is sent until someone approves it.
Discuss a connected workflow ↗Explore the sample conversation ↓
- We were charged twice for the September invoice and nobody has come back to us.
- Checking the account record now, and whether your team has already picked this up.
- What the agent found
The invoice was charged on two dates, and an account manager flagged it internally the same afternoon. - A useful starting point
A drafted reply that cites each source, ready for a person to approve, edit or escalate.
View the sample handoff ↓
Workflow: inbound billing enquiries
Friction: checking several systems by hand before anyone can reply
Proposed next step: assess a drafted-reply pilot
Human control: approve, edit or escalate before anything is sent
Every fact in the draft names the system it came from, so a reviewer can check it rather than trust it.Work themes / coming soon
Real work deserves
a closer look.
Client-approved case studies will be published here. In the meantime, preview the themes we will cover and an illustrative workflow.
Explore work themes ↗
The delivery method
Small enough to control. Valuable enough to matter.
A clear path from the first conversation to everyday use. Each stage gives you a concrete deliverable and a decision about what comes next.
Discuss a workflow ↗Observe the work
Map the real process, including exceptions, handoffs and the places where judgement matters.
Prove the value
Set a baseline, assess feasibility and define what a worthwhile result would look like.
Build with guardrails
Implement the smallest complete workflow with permissions, review points and failure paths.
Run and improve
Measure adoption and outcomes, then strengthen or extend the system from evidence.
A useful first engagement
The AI opportunity audit
Workflow mapThe work as it actually happens.
Opportunity scoreValue, feasibility and operating risk.
Sequenced action planA practical route to a working pilot.
A clear, written basis for your next decision.
Ask about the audit ↗Insights / introductory guides
Practical guidance
for your next move.
Where should a growing business start with AI?
A practical method for choosing the first workflow worth improving—and avoiding an expensive technology-first programme.
Read the note ↗Agents, copilots and automation: choose the right level
Not every workflow needs an autonomous agent. Here is how to match the solution to the work and the risk.
Read the note ↗What makes an AI automation reliable?
The operational details that separate a convincing prototype from a system your team can depend on.
Read the note ↗Before we begin
Good questions.
Straight answers.
What most teams ask before starting with AI.
Where should we start with AI?+
Start with a recurring workflow that has a clear owner and a measurable cost in time, errors or delays. An opportunity audit helps compare candidates before you commit to building.
Do we need to replace our existing tools?+
Often, the opportunity is in connecting the tools you already use. We first assess their integration options, data quality and permissions, then identify any gaps.
How do people stay in control?+
We define what the system may do, what needs approval and how exceptions reach a person. Review points, access controls and monitoring are part of the workflow design.
How will we know it is working?+
Agree a baseline before the pilot: handling time, rework, response speed or another relevant measure. Evaluate quality alongside speed, and use the results to decide whether to expand.
What happens after the first conversation?+
We clarify the workflow, the people involved and the desired outcome. If there is a fit, we scope an audit or pilot with agreed deliverables before implementation begins.
The next useful step
What could your team
do with more time?
Tell us where work slows down. We will help you find a sensible, measurable place to start.