Service 02 — AI Consultancy
Know exactly where AI pays off in your business — and where it won't.
Independent, execution-grade AI strategy for founders and operators. No vendor kickbacks, no slideware that dies in a drawer.
This is for you if
- Leadership teams under pressure to 'do AI'
- Operators who want ROI, not demos
- Companies burned by a failed AI pilot
This is not for you if
- Anyone wanting a 60-page deck instead of decisions
- Teams looking for someone to blame, not a plan
- Speculative moonshots with no operating business
Deliverables
What I actually do
Named tools, real artifacts, nothing hand-wavy. You own everything that gets built.
Stack
- Claude
- OpenAI
- Gemini
- LangChain
- Vector DBs
- Eval frameworks
- 01AI readiness & data audit
- 02Opportunity matrix scored by ROI and effort
- 03Sequenced 2-quarter roadmap with owners
- 04Build/buy/skip calls on specific vendors
- 05Advisory retainer with async access
Process
How the engagement runs
01
Audit
Two weeks inside your ops, data, and team workflows.
02
Score
Every AI opportunity ranked: ROI, effort, risk.
03
Sequence
A roadmap your team can actually execute this quarter.
04
Advise
I stay in the loop while you ship the first wins.
Engagement
I work in three shapes — a fixed-scope Sprint, an ongoing Retainer, or lightweight Advisory. Exact scope and pricing are set after a discovery call, once I understand your size, stack, and goals.
Questions, answered straight
How is this different from hiring a big consultancy?
You get one senior operator who also builds. My recommendations are constrained by what I know can be implemented — because I implement it. No junior team learning on your invoice.
Do you implement or only advise?
Both. Consultancy engagements often flow into automation builds, but the roadmap is designed so any competent team could execute it without me.
What if AI genuinely isn't a fit for us?
Then the deliverable says so, with reasons. Telling you where AI won't pay off is half the value of an independent audit.
How do you handle data privacy?
The audit includes a data-handling review. Where needed I recommend architectures that keep sensitive data inside your own environment.
What does an engagement cost?
Audits are fixed-scope; advisory is a monthly retainer. Exact numbers are scoped after a discovery call once I understand your size and stack.
Next step
Ready to talk ai consultancy?
A 30-minute discovery call. You bring the numbers, I'll bring the questions. If I'm not the right fit, I'll tell you who is.