Team Enablement
Build Capability, Not Dependency
Your team learns to operate, optimize, and extend the AI platform independently. That's the point.
The Handover Problem
Most consultancies optimize for ongoing engagement. They build systems your team can't understand, documentation that requires their interpretation, and architectures that need their maintenance.
We optimize for the opposite outcome: after we leave, your team runs everything without us.
This isn't altruism—it's alignment. If we build something you can't maintain, we've failed. Your success is having AI capabilities that don't depend on external consultants.
What Enablement Includes
We conduct live sessions walking through infrastructure, orchestration logic, and integration points. Your team asks questions until they're confident they could build this themselves.
Architecture Walkthroughs
Your engineers understand the entire system: why components were chosen, how they interact, where to look when something breaks. Not just what the code does—why it's designed this way.
Prompt Development Training
Your team learns our methodology for developing, testing, and iterating on prompts. Hands-on work applying the methodology to your domain.
Operational Runbooks
When the system misbehaves at 2 AM, your on-call engineer has documentation that tells them exactly what to check and what to do.
Hiring Guidance
Role definitions for AI-related positions, interview frameworks, skill profiles that complement your existing team, and build-versus-hire decisions.
Training Formats
Embedded Workshops
Multi-day sessions with your engineering team, hands-on with your actual system. Architecture, prompt development, and operations through practical exercises.
Documentation Package
Comprehensive written materials: architecture guides, prompt development playbooks, operational runbooks, and decision logs.
Pairing Sessions
We work alongside your engineers on real tasks: building a new agent, debugging a production issue, developing an evaluation harness.
After Handover
At the end of our engagement, your team can:
If you want ongoing support, we offer advisory retainers: access to our team for questions, periodic reviews, and help with challenging problems. But you're never locked in—the capability to operate independently exists from day one.
Deploy changes to the AI platform without external help
Develop and test new prompts using the established methodology
Create new agents building on the prompt library
Diagnose and resolve common issues using runbooks
Evaluate whether AI changes improve or degrade quality
Make informed decisions about expanding AI capabilities
Building Institutional Knowledge
The real enablement outcome isn't individual engineers who understand the system—it's organizational capability that persists as people come and go.
We accomplish this through:
- Documentation that stands alone. New team members can onboard from written materials without tribal knowledge.
- Processes that codify best practices. Prompt review checklists, evaluation protocols, and change management procedures ensure quality regardless of who's doing the work.
- Templates and patterns. New agents build on existing work rather than starting from scratch.
When your senior engineer takes another job, their replacement has a path to competence that doesn't require external consultants.
Want AI capability that outlasts any consultant engagement?
Let's discuss how we'd structure enablement for your team.