Four ways we put AI to work.

Every engagement has a fixed scope, a named deliverable and a timeframe. Most clients start with the audit, but you can enter wherever it makes sense.

AI process audit and roadmap

2 to 3 weeks

Before anything gets built, we work out what is worth building.

We spend time inside your operation: shadowing the work, interviewing the people who do it, and reading the process documentation that nobody else reads. The output is a prioritised roadmap that names each opportunity, what it costs to build, what it should save, and what to leave well alone.

What you get

Process map of your core workflows, as they actually run
Opportunity register scored by value, effort and risk
Costed 12 month roadmap with a recommended first pilot
Findings presented to your leadership in plain English

Order-to-invoice, as mapped

Audit, week 2

Order arrives as a PDF attachment
Details re-keyed into the ERP by hand 14 hrs a week
AI extraction, checked against the price list pilot
Exceptions routed to a review queue
Invoice raised the same day

Workflow automation and AI integration

4 to 8 weeks per workflow

The unglamorous middle of your business is usually where the money is.

Invoice handling, inbox triage, quote generation, compliance checks, report writing, data moving between systems that do not talk to each other. We automate these end to end, using AI where judgement is needed and boring, reliable automation where it is not. We integrate with what you already run rather than asking you to replace it.

What you get

Working automations in production, not proofs of concept
Integration with your existing systems and tooling
Human review steps wherever the cost of an error is real
Monitoring, alerting and a clear owner for every workflow

Inbox triage, in production

Live since week 5

Shared inbox

Around 220 messages a day

AI triage: classify, draft, route

Every draft carries its source references

Routine, sent

64% of volume

Human review

36%, judgement calls

AI-assisted and AI-powered software development

6 weeks and up

Custom software with AI at the core, built by people who ship.

Some problems need more than automation: an internal tool that reads and reasons over thousands of documents, a customer-facing product with AI features, or modernising an existing system with an AI-native rebuild. We design, build and run this software, with evaluation baked in so you know how well the AI parts actually perform.

What you get

Production software, from internal tools to customer products
Evaluation suites that measure AI output quality over time
Security and data handling designed for UK GDPR from day one
Documentation and handover your own team can build on

Extraction accuracy by release

1,000-document eval set

target 95%

Shipped to production at v3, monitored weekly since

Training and enablement

1 to 2 weeks

Tools do not change a business. People using them well do.

We train your team on the systems we build and on working with AI in general: what to trust, what to verify, how to write a decent prompt, and where the sharp edges are. For leadership, we help set the guardrails, so there is a clear, sensible answer to the question "are we allowed to use AI for this?"

What you get

Hands-on training built around your real work, not generic demos
An AI usage policy your board can approve
Champions inside your team who can carry it forward
A route to us for questions after we step back

AI usage policy

Board approved

Client data never used to train models
Human sign-off on anything sent to a client
Approved tools list, reviewed quarterly
Named champions in every team

Written with your leadership in the enablement week

Questions we hear a lot

Do we need our own technical team?

Which AI models and vendors do you use?

How do you handle our data?

What does an engagement cost?

What if AI turns out to be the wrong answer for us?

Not sure which of these you need? That is what the first call is for.

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