AI Adoption

AI training

Strategy

I Evaluated ten AI tools for ICH, then trained global teams on the one they chose

I Evaluated ten AI tools for ICH, then trained global teams on the one they chose

ICH needed non-technical teams around the world to build their own training content instead of relying on outside specialists for every module. Before any tool was chosen, my job was to find out which one could actually work inside a regulated environment — then make it usable once they picked one.

A generic vendor tutorial wasn’t going to work in a regulated environment.

Off-the-shelf onboarding assumes a generic user at a generic company. ICH’s teams operate under strict internal rules about how AI can be used with regulated content — restrictions on confidential data, unverified outputs, unsupervised generation. Any training material had to teach the tool and the guardrails at the same time.

The Challenge

ICH needed a way for non-technical teams around the world to build their own training courses instead of waiting on outside help for every module — but first, they needed to know which AI-assisted authoring tool could actually handle a regulated environment without creating new risk.

The Solution

I evaluated around ten AI-assisted course-authoring tools against ICH’s actual constraints — regulated content, non-technical users, strict internal AI rules — and Easygenerator came out as the one they chose. Once it was selected, I evaluated it in depth for that specific audience, then built the entire onboarding system from scratch: a full video series covering course creation, AI-assisted module generation, quiz creation, interactive activities, export workflows, and AI image generation, plus a written guide on how to prompt the tool effectively — generic prompting produces generic, or wrong, results. I built the onboarding around real examples from their own work instead of the vendor’s generic templates, structured so teams could follow it independently rather than needing an expert at each step. Every part of it had to respect their internal AI usage rules — what could be trusted from an AI output, when human review was required, how to catch a wrong answer before it reached real training material.

The Outcome

Teams across multiple regions now build their own training courses independently, using a tool and workflow they’d never touched before — without routing back through a central office for repetitive support. Adoption spread on its own, well beyond where I was still directly involved.