Start with the business. The AI comes second.
I start with how your business actually runs: where margin leaks, where time goes, what your people keep redoing. Then we decide where AI earns its place, prove it on real work and scale what pays back.
Manufacturers
Turn technical product information, customer requests and order history into more useful everyday work.
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Distributors
Large supplier catalogs, account-specific terms and a constant flow of quotes and orders, with one shared view.
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Retailers
Connect product information, local demand and transaction history, with people in control of commercial decisions.
Explore solutions →Strategy first. Then the tools.
Four steps, whatever your industry. The first two are where most AI projects go wrong.
Understand the business.
Where margin leaks, where time goes, what your people keep redoing. We start from the P&L, not the technology.
Find where it pays.
Rank opportunities by value, effort and how ready the information is. Some answers will be “not yet”.
Prove it on real work.
One pilot, built with the people who do the job, measured against how it’s done today.
Scale what works.
Training, clear ownership and governance, so it keeps paying back after I leave the room.
Where AI projects usually go wrong.
Most failures happen before anything is built. These are the ones I help clients avoid.
In the strategy
- Automating everything instead of the few things that matter.
- Choosing tools before choosing problems.
- No baseline, so nobody can say what changed.
In the data
- Assuming the data is ready because it exists.
- Fixing all of it before starting anything.
- No owner for the information the pilot depends on.
In the adoption
- A good demo that never reaches Monday morning.
- No training on the real work.
- Nobody accountable once the consultant leaves.
Your next buyer may start with AI.
Buyers now ask ChatGPT, Perplexity, Copilot and Gemini for a supplier shortlist before they ever call a rep. If AI can’t find you, or gets your products and pricing wrong, you’re off the list without knowing it.
I audit how AI describes your business, trace the sources it trusts and fix what it gets wrong.
Ask
We run the questions your buyers actually ask, in English and French, across the major AI assistants.
Trace
We see which of your pages and which third-party sources the answers rely on, and where they go wrong.
Fix
A prioritised plan: product data, key pages, profiles and reviews. Commerce fixes can be delivered by Human After All.
What the audit measures
Share of voiceHow often you appear when buyers ask.
CitationsWhich of your pages AI trusts, and which outside sources it uses instead.
Sentiment & accuracyWhat AI says about your pricing, products and service.You get a scored report and a fix plan ranked by impact.
Not sure where to start?
Tell me what your business does and where work slows down. We’ll find the relevant opportunity together.
