AI Risk & Guardrails
AI in your business produces confident, polished, often wrong work. The output sounds like it was written by a senior consultant — and it gets accepted because it sounds right. We help leadership put guardrails on AI use: where it's safe to delegate, where it isn't, and how the people in your organization who actually know your business can override AI output without being treated as the obstacle.
What We Do
A short, real document — not a 30-page legalese binder. What employees can and can't run through AI, what data must never leave the company, what review is required before AI output becomes policy or a customer deliverable.
We sit with the people who use AI day-to-day and identify the workflows where AI helps versus where it's adding risk. Then we redesign the high-risk ones so the human remains the decision-maker.
Practical sessions on spotting polished-and-wrong output, when to stop and call an SME, how to ground prompts in real data, and how to use AI without becoming dependent on a tool that confidently lies sometimes.
Before you sign a $50K AI contract, we read the data terms. Where does your data go? Who trains on it? What's the audit trail? What happens when the vendor pivots or shuts down? We tell you what the sales team won't.
Not in scope: building ML models, fine-tuning LLMs, integrating ChatGPT into your product, prompt-engineering as a service. Plenty of firms do that. We focus on the judgment layer — the part that keeps AI output from becoming a liability.
When This Matters Most
The pattern is consistent: someone without domain knowledge generates a document that uses the right vocabulary. The actual SME says "this is a nightmare" — five words against an eight-page document. The document wins on optics. We help your SMEs not lose those rooms.
Bring it to a free consultation. We'll tell you what's right, what's invented, and what would actually be required to make it real. No sales pitch.