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Discuss your AI plans 

From first audit to AI your team runs

audit roadmap implementation

We start with an AI Audit that shows where AI is worth using, what it would cost and in what order to do it. Putting that plan into practice is a separate decision. Where you want ongoing help, an Embedded AI Lead works alongside your team inside an agreed delivery capacity.

What each part does for your team

The audit shows what is worth doing. Implementing it is a separate engagement.

AI Audit

£10,000 excluding VAT, standard scope. Optional AI Charter, an additional £3,000 excluding VAT, scope agreed separately.

How it works 

What it is

We spend time with your people and look at how the work actually runs. Then we set out where AI is worth using, what it would cost and what it could return, so you can decide what to implement.

What you get

  • An executive summary written for the people who decide
  • An interview and findings report covering the work we examined
  • A prioritised implementation roadmap, typically an Excel Gantt chart
  • A costing and benefit assessment with its assumptions written down

What it proves

~50 hrs

a month reclaimable, found in a two-week discovery sprint

The Stow Brothers · discovery

Embedded AI Lead

From £5,000 a month excluding VAT, reserving an agreed total delivery capacity. Continuing with OpenKit after the audit is a separate decision.

How it works 

What it is

We work alongside your team to implement the priorities you agree. On-site work, remote implementation, meetings and support are planned inside a total delivery allocation we set with you.

What you get

  • Automations, connectors, agents and integrations built inside your agreed capacity
  • A named lead for the engagement, with a planned handover where people change
  • Delivery under our ISO 27001 certified management system
  • Priorities reset with you as the work progresses

What it proves

In production

a controls agent taken from concept to a live product

Confidential UK fintech · concept to production

Bespoke Builds

The secondary route, for a distinct system that needs its own scope rather than a place in your delivery capacity. Ownership, access and support arrangements are set out in the agreement before the build starts.

How AI Engineering works 

Searchable, cited answers over your own documents · connections into your CRM and the tools you already use · software that reads and sorts your paperwork

Optional alongside The AI Charter When data cannot move Private AI All services 

Governance runs beneath every engagement. Private infrastructure holds the work that cannot leave your walls.

AI governance & compliance

An AI Charter, optional alongside the audit, with its scope agreed separately.

We write down what AI may and may not do, who signs off on each output and how data is handled. Every use is classified by risk. The Charter is agreed alongside your AI Audit rather than included in it.

AI governance & compliance 

Private AI

We run the models inside your controlled environment, so your data stays under the rules your compliance team already set.

Private AI 

Our success stories

All case studies 
“Their team quickly understood the unique challenges of our business … and delivered a thorough, evidence-based strategy.”
Simon Patton CEO, EMQN CIC case study 
“OpenKit transformed our business requirements into Zappl, an elegant web application … The intuitive interface and streamlined workflows have reduced our staff admin workload.”
Michael Director, DARE Technology case study 

Most engagements start with the AI Audit. What you do next is a separate decision you make from what it found. Discuss your AI plans 

What could your business do with AI?

Find out with experts who become part of your team. We uncover opportunities, get ideas working, and help your people build on the results. We reply within one working day.