“Find the right people, get them building with AI as fast as possible, handle the technical plumbing yourself, and let momentum do the rest.”
Engagement Timeline
Diagnose the company's AI readiness — people, data, and processes — so champion selection and use case prioritization are evidence-based.
Stakeholder interviews, half-day leadership workshop, data readiness check.
Understand the business, find 3-5 internal champions, and identify where AI creates real value.
“Not necessarily developers. Often domain experts — the head of operations, a senior analyst, a product manager.”
Set up each champion's AI working environment, show them what's possible, and build the first PoC together.
“The goal is the aha moment — the point where they stop thinking of AI as technology and start seeing it as a tool.”
Eksempler: Internal chatbot, automated report generator, workflow tool, data analysis dashboard, email/message drafter.
Get champions building independently. They stop thinking and start doing. You provide the technical backbone.
You are the technical enabler. Databases, frontend, deployment, authentication, integrations, architecture — you make the infrastructure invisible.
Turn rough prototypes into robust tools. Build new things. Create a rhythm.
Turn your 3-5 champions into internal AI coaches. Scale the capability across the organization.
People build AI tools without asking permission. Champions help others without your involvement.
Typically 3-6 months to self-sufficiency
Start with AI Stock-Taking