Policy & practice
AI governance & training
Written rules for using AI, including when not to.
Usage policies, staff training, and explicit "when NOT to use AI" guidelines, written for how your organization actually works. We turn governance from a PDF nobody reads into habits: what may go into a model, what must be verified, and what stays human by default.
Deliverables
- AI usage policy tailored to your regulatory context
- "When not to use AI" guidelines with concrete examples
- Role-specific staff training sessions
- Procurement checklist for evaluating AI vendors
- Incident and escalation procedures
Signs you need this
- Every team improvises its own rules for what goes into a prompt
- A data-leak near miss made leadership ask what the policy even is
- New AI tools get adopted before anyone reviews them
- You need documented governance for clients, auditors, or insurers
Work wanted
Tell us what you are trying to do and we will say whether this is the right notice.
Write to the labOther notices
AI audit
Find out if the AI you already run deserves to stay.
Right-tool consulting
LLM, decision model, classic ML, rules, or a human. We map which.
Local AI implementation
AI that never lets your data leave the building.
Hardware + software
The machines, the GPUs, and the software to run them.
Hybrid architecture design
Every task routed to the cheapest intelligence that can do it well.
Human-in-the-loop workflows
AI proposes. Humans verify and decide.