Know where AI is worth the investment
The AI strategy engagement. We sit with the people who run your workflows, work out where AI pays back, and hand you a prioritised roadmap with a cost and a return against each item.
What you receive
What you leave with
- Executive summary The principal findings and the priorities we recommend, written for the people who decide.
- Interview and findings report A structured account of the work we examined, what your people told us and the opportunities and issues we found.
- Implementation roadmap A prioritised plan, typically supplied as an Excel Gantt chart, showing the proposed order of work.
- Costing and benefit assessment Estimated costs, potential productivity improvements and the ROI assumptions behind them, to support your implementation decisions.
What we ruled out
The no-list
The work we judged and turned down, with the reason written next to it.
The costings are a planning assessment with the assumptions written down, not a guarantee of savings.
How the audit runs
The schedule is agreed in your proposal, alongside the scope.
Agree scope
We settle which workflows are in range and which systems they touch, then write that into your proposal
- Workflows in range
- Systems named
- Schedule set in the proposal
Interviews and observation
We sit with the people who do the work and map where the hours actually go
- Sessions with the people who run the work
- Workflows mapped from the work itself
- Hours counted with your team
Analysis and costing
We go through the systems and the data behind each candidate, rank what survives and estimate what it would cost
- Systems and data reviewed
- Candidates ranked or ruled out
- Costs and benefits estimated
Report and roadmap
We write the findings, the roadmap and the costings, then walk your team through them
- Executive summary and findings
- Prioritised roadmap
- Walkthrough with your team
What the audit examines
Most teams come to us with AI already scattered across the business. The audit is where it gets set down plainly.
- The workflows your people actually run, mapped from the work itself
- Where the hours go, costed so you can check the business case
- Where your data lives, and who is allowed to see it
- What your regulators and insurers expect of the work you automate
- Where the risk sits, and who signs off when it goes wrong
- Which workflows come first, and which we would leave alone
We run this as an independent, builder-neutral assessment: a workflow earns its place on your roadmap on the evidence, and the reason it did is written down next to it.
Four questions decide every workflow
Run them against your own shortlist while you read. Every candidate is scored on all four, including the ones we end up turning down.
Payback
What does this work cost you today, and what would you get back? We sit with the people who run it and count the hours the work actually takes, so the number in your business case is one your finance team can check.
Data
Does the information this work needs actually exist, and is anyone allowed to see it? We find where it lives and what shape it’s in, so you know what would have to change before anything reads it.
Systems
What does this work already pass through, and what would it take to wire in? We map your systems and the joins between them, so a recommendation accounts for the plumbing as well as the task.
Accountability
Who owns the output, and who answers for it when it’s wrong? We settle what your regulators and insurers expect and where the risk sits, so accountability is written down before you commit to building anything.
The optional AI Charter
A separate piece of work, agreed alongside the audit when you want it.
Where the audit stops and what you can do next
The audit delivers the assessment and the plan; implementing it is a separate decision.
“Their team quickly understood the unique challenges of our business … and delivered a thorough, evidence-based strategy.”
Thorlux could check our numbers against their own dashboard
A discovery and assessment engagement. Their own engineering team took the specification forward afterwards.
All case studiesThorlux runs SmartScan, a lighting sensor estate that had collected occupancy data for years without turning it into anything a director would read. Our proof-of-concept queries against roughly 6.5 million records matched their live dashboard. The strategy report and pilot specification followed from there.
Manufacturing · Discovery Space-utilisation reporting engine Synthesising ~6.5M IoT occupancy records into automated executive summaries. 
Healthcare · Discovery AI triage agent Pre-scoring 17 report criteria with 93 to 96% multilingual accuracy. 
Property · Pilot blueprint Admin agent blueprint 172 hours a month of measured admin mapped for a computer-use agent on a closed-API CRM. One workflow is enough to start. Discuss your AI plans
Score your own readiness first
It is an indicative self-assessment. The audit is where the same picture gets grounded in your actual tools and data.
FAQ
Is this AI strategy consulting?
Yes. The audit is where the strategy gets written: which workflows are worth automating, in what order, at what cost and with what return. The roadmap and the costed business case are the strategy documents. Implementing them is a separate decision.
What does it cost?
The standard scoped audit is £10,000 excluding VAT, agreed before the work starts. An AI Charter alongside it is an additional £3,000, so the two agreed scopes come to £13,000. Implementation is a separate purchase. The fees are on our pricing page.
Is a working automation included in the audit?
No. The standard audit delivers the findings, the roadmap and the cost and benefit assessment. Implementation is agreed separately.
Is the AI Charter included?
No. It is an optional £3,000 addition to the standard £10,000 audit, both excluding VAT, with its scope agreed separately.
Do we have to continue with OpenKit after the audit?
No. The audit is a standalone engagement. You use the findings to decide the next step.
What happens in an interview?
We sit with somebody who does the work and go through it as they do it: what arrives, what they do with it, where it goes next and how long each step takes. Nothing has to be prepared and nobody is being marked. What we are after is the shape of the work and the hours in it, because that is what the costings are built from.
Who from our side needs to be involved?
The people who actually run the workflows in range, plus one person who can answer questions and open doors while the analysis runs. Their availability is usually what sets the schedule, so we agree it with you in the proposal.
How do you handle data security, GDPR, and regulated industries?
OpenKit is ISO 27001 and ISO 9001 certified and works to UK GDPR by default. Every implementation encrypts your data and restricts access by role, and we document how each piece of it is processed. For regulated sectors the work is designed to operate under your sector-specific obligations on top, whether that is the SRA for legal, the FCA for financial services, or the NHS DSP Toolkit for healthcare. Where client data is too sensitive to leave your environment, the same engagement can run on a private deployment, with the models operating inside infrastructure you control.
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.