AI Readiness
The board wants an AI story. The company isn't ready to tell one.
Every board is asking about AI. Most mid-market companies respond with pilots that go nowhere, because the data is fragmented, the tools don't talk to each other, and nobody has mapped where AI would actually make money.
AI is not a strategy. It is a capability that sits on top of your data, and it only pays off where the foundation can support it.
A clear read on readiness, then the build.
We assess where AI can genuinely improve the commercial engine, then do the implementation ourselves.
An AI readiness assessment across your data, tech stack, and commercial workflows.
The use cases ranked by revenue impact and feasibility, not by hype.
Data and infrastructure gaps closed, so the tools have something reliable to run on.
Implementation done by our team: tools selected, integrated, and wired into daily work.
Governance and measurement, so leadership knows what AI is doing and what it returns.
If the honest answer is that you are not ready, we say so, and we tell you exactly what to fix first.
A short diagnostic, then the build.
Every engagement starts with a focused diagnostic so we fix the right things in the right order. We will walk you through how that works on a call.
Senior operators, embedded in your team.
This is not a report handed over from the outside. Senior Claymore operators work inside your business on a weekly operating rhythm, with named owners for every workstream and a cadence your leadership team can hold us to.
Built on the data foundation.
AI readiness depends entirely on the Data & Attribution foundation and a tech stack that feeds it cleanly. That is why this work usually runs with or after both, and why it slots directly into the Revenue Blueprint.
