Turn Your Dev Teams Into AI Powered Business Engineers
We don't teach AI in a vacuum. Our program embeds directly into your codebase, your workflows, and your engineering challenges. Enabling your team to build real skills that matter to them, and your business.
The AI Skills Gap
Most AI training programs teach prompting techniques in sandboxes and call it done. Your developers return to their desks and nothing changes. The gap isn't knowledge, it's hands-on usage, within their daily workflows.
From Foundations to Full Autonomy
No bootcamp. Real implementation.
Every exercise, every review, every workflow we build together improves on every iteration. Using your actual codebase, your tickets, and your engineering challenges. Workflows that last.
Setting up the Foundation
Workshops + guided practiceYour team learns how AI coding agents work at the practical level that matters for daily engineering. We use examples from your business.
What we'll cover
- ✓ How LLMs process context and generate code
- ✓ Prompt engineering for real engineering tasks
- ✓ Evaluating AI output: when to trust, verify, or reject
- ✓ Setting up AI agents for your stack
Apply to Your Projects
Your codebase. Real challenges.This is where it clicks. Your team applies AI workflows to actual tickets, real PRs, your codebases, within your business context.
What we'll cover
- ✓ AI-assisted code review, refactoring, and test generation on your repos
- ✓ Building agentic workflows for your CI/CD pipeline
- ✓ Connecting AI agents to your internal tools via MCP
- ✓ Debugging AI output in your production context
Scale Across the Organization
Governance + internal championsSkills become organizational capabilities. Your team builds the governance frameworks that make AI adoption sustaining.
What we'll cover
- ✓ AI usage policies your developers will actually follow
- ✓ Internal tooling and templates for AI workflows
- ✓ Measuring AI impact: productivity, quality, cost
- ✓ Creating internal champions and knowledge-sharing structures
Our AI Enablement Program Tailored For
Engineering Leads
Adopting AI tooling at team level. You need your developers productive with AI tools — and you need to know the guardrails are in place.
CTOs
Setting organizational AI strategy. You need a structured path from experimentation to scaled, governed AI adoption.
Security Teams
Establishing AI governance. Developers who understand governance create fewer security incidents.
The program works for teams using Claude Code, GitHub Copilot and Codex. Contact us for other agents.
Your Teams Know How to
Use AI coding agents at an advanced level — beyond autocomplete, into agentic workflows and MCP integrations
Have a governance framework — clear policies your team built themselves
Work within limits — critical judgment about limitations and risks
Be self-sustaining — internal champions who can onboard new team members
Pair Enablement with Security
Your teams will be more productive with AI. ContextGuard ensures they are also more secure. Teams that adopt AI coding agents with governance and infrastructure-level security see faster adoption and fewer incidents.
Start With a Conversation
Every team starts from a different place. We'll customize the program based on your team's current AI maturity, toolchain, and goals.
We'll discuss your team's current AI usage and recommend a starting point. No obligation.