Capability, transferred.
SolutionsProductsPlatformsYour team, fluent in its own AI.
Learning that ships.
A working prototype on your own codebase, an ROI case ready for finance, or a shared vocabulary your team can act on, depending on the track.
What your team walks away with
Agent-assisted coding training for your engineers
Your engineers pair with us on their own repo: planning, coding, review, and testing, agent-assisted the whole way.
Evals and human-in-the-loop gates your team owns
We write the eval suite alongside the agent, so your team inherits a real quality bar from the first commit.
Role-based enablement, from executives to engineers
An executive sits through a different session than an engineer does. Each track matches the decisions that person actually makes.
Every decision, documented.
Access decisions, rollback plans, and on-call runbooks get written down somewhere the next hire can actually find them.
Training tracks
Enable stands on its own. Most clients pair it with a Strategize or Build engagement so the training lands on a real workflow, and you can start with one track and add more later.
Agentic Fundamentals for Workflows
Whole organization
A shared vocabulary for how agentic AI works, and what it takes to embed one in a real workflow.
Who it's for: Teams about to invest in agentic AI who need a common starting point
- A shared vocabulary the whole organization can use
- Clear intuition for where agents help most
- A short list of workflows worth exploring next
Half-day, 2 to 3 days, 4 to 8 weeks, Ongoing
AI Native Leadership & Strategy
Executives and functional leaders
Turns agentic AI concepts into decisions: where to invest, and how to frame the return.
Who it's for: Executives sponsoring AI investment across the organization
- A prioritized map of candidate workflows
- A build, buy, or partner decision for each candidate
- An AI-Native Roadmap sequencing initiatives by priority and timeline
- An ROI case ready to bring to finance
Half-day, 2 to 3 days, 4 to 8 weeks
AI SDLC
Engineers and technical teams
Teams leave having rebuilt their development lifecycle around agentic AI, end to end.
Who it's for: Engineers who will build and maintain agents after the workshop
- A working prototype built on your own codebase
- An eval suite the team can keep extending
- A governance checklist scored against a live agent, with the top gaps fixed
- A reusable pattern for the next stage of the SDLC your team automates
2 to 3 days, 4 to 8 weeks
Strategize gives you the roadmap. Build gives you the system. Enable gives you the team to run both.
Who learns first?
Every audience gets its own session. Tell us who's in the room and we'll scope from there.