Most AI projects fail in discovery, not in the model.
I help mid-size companies choose the right AI use cases, prove them fast, and build them on top of the systems they already run.
What I do
AI Readiness & Discovery
Map processes, data and constraints to find where AI genuinely pays off.
AI Roadmap
Your first three projects, ranked by value, feasibility and data readiness.
2-Week Proof of Concept
Tight scope, clear success metrics, and a go or no-go at the end.
Agentic AI on Existing Systems
Agents on your WMS, TMS, ERP or CRM, with human approval built in.
Right-Sized Solutions
Automation, RAG or custom build: the simplest option that does the job.
Vendor & Delivery Oversight
Independent help choosing partners and keeping delivery on track.
The AI Readiness Sprint
Three weeks from "we should do something with AI" to a prioritised, costed plan. From [YOUR PRICE].
Discover
Stakeholder interviews, process and data review, compliance check.
Prioritise
Use cases scored on value, feasibility and data readiness.
Plan
Roadmap, PoC scope, budget range and a recommended next step.
Who this is for
Mid-size companies in logistics, healthcare and ERP-driven industries that know AI matters but don't yet know where to start, or have a pilot that has stalled.
Do we need clean data before we start?
No. Assessing data readiness is part of the sprint.
Can AI run on-premises for privacy?
Often yes. Data residency is settled in week one.
Do we have to replace our current systems?
Rarely. Layering agents on existing systems usually comes first.
How long until we see results?
[Your typical timeline]
Not sure where AI fits in your business?
Free 15-minute AI Readiness Call · No obligation
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