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AI Training
We train executives, product teams, and engineers on AI as it actually behaves in production. Every curriculum is built from our own engagements and research, then adapted to your systems, sector, and regulatory context.
When you need this
The situations we are called into.
Leadership must make AI decisions but shares no common technical vocabulary.
Engineers are shipping LLM features without evaluation or security fundamentals.
A transformation program needs a structured capability-building track to make the change stick.
Approach
How the engagement runs.
Needs assessment
Current skills, target roles, and the decisions each audience must be able to make afterwards.
Curriculum design
Modules assembled from our production casework and adapted to your sector and stack.
Delivery
Executive sessions, practitioner workshops, and engineering deep-dives — separate tracks, shared vocabulary.
Applied practice
Exercises run on your systems and your data where possible, not on toy examples.
Assessment
Measured before-and-after capability, with a follow-up plan for the gaps that remain.
Deliverables
What you hold at the end.
Tailored curriculum
Workshop and deep-dive delivery
Hands-on lab materials
Capability assessment report
Reference materials
Related research
The evidence behind this practice.
Technical report · 2026
Evaluating large language models for regulated enterprise workflows
A practical evaluation framework for LLM systems in banking, insurance, and government contexts — metrics, test harnesses, and a taxonomy of failure modes.
In preparation
Contact
Talk to our engineers.
Describe the situation you are in. The person who replies is the person who would do the work.