Starter resource · Markdown
AI Adoption Capability Check
A short diagnostic for distinguishing AI access from usable workforce capability.
Download starter checklistAdoption and training
Build AI capability people can apply responsibly at work.
Completion, usage, and token counts do not prove that people can judge output, detect errors, or use AI safely in a live workflow.
What this changes
Adoption becomes a measured operating capability.
This service area connects AI learning to the workflow, decisions, standards, and performance outcomes that matter in the role.
Service details
Explore the work at the level you need.
The essential outcome is visible above. Open a section for implementation detail, delivery expectations, and governance considerations.
What we assess
We identify the tasks, decisions, risks, and quality standards that define competent performance in the target workflow. Training is then designed around those conditions.
What you receive
The work can include an adoption guide, role-specific prompt cards, practice activities, job aids, governance boundaries, and manager review checklists.
Governance considerations
The learning experience must clarify prohibited uses, approval authority, sensitive-data boundaries, and what a person should do when output is uncertain or harmful.
Free resources
Start with a practical diagnostic.
Chronicle
The Workflow That Eats Itself: Building an AI Architecture That Actually Holds
A practical look at the design choices behind AI workflows that remain usable over time.
Read the analysisNext step
Find the highest-value workflow to address first.
Use the free scorecard to identify your operating gaps before deciding where to invest.
Take the Scorecard