Your staff are already using AI. Nobody agreed how.
Four engagements, in order: find out where you stand, decide what to build, govern how it is used, then build it. Each ends in a document you can act on, and each credits into the next.
See the four engagements Book a scoping callStart where you actually are
Most businesses skip straight to building something. That is why most AI pilots quietly stop being mentioned after four months.
AI Readiness Assessment
One session · scored across data, process, skills, governance and tooling
- Where AI is already in use in your business, including the parts nobody has told you about
- A readiness score across the five dimensions that determine whether anything sticks
- Your three highest-leverage next moves, in order
- Fee credited against the AI Strategy & Roadmap engagement within 30 days
AI Strategy & Implementation Roadmap
Six weeks · fixed fee · ends in a funding decision, not a slide deck
- Stakeholder interviews and process mapping of your three highest-volume workflows
- Every candidate use case scored on value, feasibility, risk and reversibility
- A costed, sequenced roadmap across four quarters — build, licence and run costs
- A written do-not-build list, so the same bad ideas stop being re-proposed
- Fee credited against an AI Agent Buildout Sprint within 60 days
AI Adoption & Readiness Program
12 weeks · policy, controls, training and one measured pilot
- Shadow-AI discovery: what is already being used, by whom, with what data
- Acceptable use policy, human oversight gates, and vendor and data controls reviewed
- Alignment against NIST AI RMF and, where relevant, EU AI Act obligations
- Role-based training and an internal reference your team will actually read
- One pilot with a real baseline, measured honestly — stopping on evidence counts as success
The retainer starts after handover. Minimum six months, then month to month.
AI Agent Buildout Sprint
Fixed scope · audit, design, build, deploy, handover
- Agents built into real operations: support, content, internal ops or lead generation
- Tiered by agent count and integration complexity
- Handed over documented and operable by your team, not locked to us
- Scoped in writing before anything is invoiced — no checkout at this level
How we work on AI
Four positions we hold, so you know what you are buying before the first call.
Reversibility is weighted, not assumed
Most failed AI projects were not bad ideas. They were irreversible commitments made before anyone had evidence. Every recommendation carries an undo cost.
Governance before scale
Rolling AI out without a policy, data boundaries and an oversight gate creates a problem that surfaces later, in front of a client or a regulator.
Baselines before pilots
If nobody measured the task before, no pilot result means anything. We measure first, even when it delays the interesting part.
Stopping is a valid outcome
We will tell you when a use case is not worth building. That is what the do-not-build list is for.
Start with the cheapest honest answer
$997 tells you whether you are ready and what to do first. Everything above it credits down from there.
Book the AI Readiness Assessment Talk it through first