AI Policy & Readiness
Know what you are allowed to build, what you should build first, and what it is worth.
What we do
Most companies are already using AI, whether or not anyone has written down the rules. The question is not if, but whether the usage is governed and whether it is pointed at anything that matters commercially.
We offer three depths, each including the one before. You can stop at a policy that is actually enforced, go further into organisation-wide discovery, or go all the way to a readiness audit that tells you what to build and in what order.
For funds, the readiness audit doubles as pre-deal AI diligence or the AI workstream of a 100-day plan. It gives a defensible view of where AI value sits in a target or a portfolio company before capital and management time are committed.
A founder or director personally leads every engagement.
What you get
- Stakeholder sessions plus a review of your current tools and data
- A policy document ready to share across the business
- Enterprise guardrail configuration that enforces the policy in practice
- All-employee survey and department-lead interviews
- A structured view of needs, risks and readiness
- A use-case roadmap with every use case ranked by expected ROI impact
- How each use case would be built, and the risks attached to it
Tailored AI policy
Built from stakeholder sessions plus a review of tools and data.
A policy document ready to share, plus the enterprise guardrail configuration that enforces it in the tools your team already uses.
Policy plus discovery
Adds an all-employee survey and department-lead interviews.
Everything in the policy tier, plus a structured view of needs, risks and readiness across the organisation rather than just the leadership view.
AI readiness audit
Adds a prioritised use-case roadmap.
Everything above, plus every use case ranked by expected ROI impact, how it would be built, and the risks. Doubles as pre-deal AI diligence or the AI workstream of a 100-day plan.
Common questions
What is the difference between the three depths?
Each depth includes the one before it. Tailored AI policy is built from stakeholder sessions plus a review of your tools and data, and lands as a policy document ready to share alongside enterprise guardrail configuration to enforce it. Policy plus discovery adds an all-employee survey and department-lead interviews, giving a structured view of needs, risks and readiness. The AI readiness audit adds a prioritised use-case roadmap.
Is the policy just a document?
No. A policy nobody enforces is a policy nobody follows. Alongside the document we configure the enterprise guardrails that actually enforce it in the tools your team uses, so the rules are technical settings rather than a PDF on the intranet.
How does the readiness audit work for a fund?
The readiness audit doubles as pre-deal AI diligence or the AI workstream of a 100-day plan. You get every use case ranked by expected ROI impact, how it would be built, and the risks, which gives a fund a defensible view of where AI value sits in a target or a portfolio company before committing capital or management time.
How is the use-case roadmap prioritised?
Every use case is ranked by expected ROI impact, with a view on how it would be built and what the risks are. That means the roadmap is not a wish list. It is ordered so the first things built are the things that pay back soonest, and anything speculative is labelled as such.
Ready to put AI to work on your P&L?
Book a free discovery call. We'll map your highest-ROI opportunities in under 30 minutes, and tell you honestly if we're not the right fit.