How we work with teams
Help your team adopt AI-assisted development in a way that increases delivery speed, reduces developer friction, and keeps humans firmly in control.
Every team's path is different. Not every engagement includes every step.
Discovery
Free — conversation or automated assessmentThis isn’t a sales pitch. It’s a working session to determine whether agentic development will actually help your team — and where.
- Current development workflow review
- Tool and process inventory
- AI readiness and friction mapping
- Fit assessment — honest, both ways
Agentic Development Pipeline Analysis & Design
Paid assessmentA structured audit of how code moves through your development pipeline — where friction lives, and where agentic coding can safely reduce cognitive load, review overhead, and delivery time. The goal is not just AI usage — it’s a repeatable engineering process your team can rely on.
- Repository structure and conventions review
- CI/CD and toolchain analysis
- Developer workflow observation
- Friction and automation opportunity mapping
- Written deliverable: analysis report with prioritized recommendations
Custom Template & Pipeline Consulting
Implementation engagementWe build the scaffolding your team needs to use AI-assisted development safely and repeatably, with deterministic workflows and guardrails that prevent common AI failure modes.
- Custom project templates and context engineering
- Guardrail and permission design
- Task structure and workflow scaffolding
- Tool integration (IDE, CI/CD, version control)
- Handoff documentation
Team Training
1–2 days, customizedEvery training is built on the results of your pipeline analysis. No generic workshops. This is not theory. Training happens inside the workflows and repositories configured during the engagement.
- Role-specific training (developers, QA, managers)
- Hands-on exercises in your actual repos
- Prompting and automation skill building
- Common template usage and customization
- Follow-up reference materials
Embedded Pilot Sprint
Premium engagement — 1–2 weeksWe work alongside your team inside a real sprint. We set up repo structure, context files, guardrails, and workflows — then we use them together. Your team finishes with working patterns they’ve already practiced.
- Full environment setup on a live project
- Side-by-side pairing with developers
- Real-time workflow tuning
- Pattern documentation as you go
- Sprint retrospective with recommendations
Retained Advisory
Ongoing supportAs new tools appear and models evolve, we help your team adapt without disrupting your workflow.
- Regular check-ins (cadence set by your needs)
- Async support for questions and blockers
- Workflow refinement as tools evolve
- New pattern and tool evaluation
- Team scaling guidance
We're tool-agnostic. The concepts don't change.
We have our favorites, but every company has different needs, constraints, and existing investments. We work with whatever tools fit your team — Claude Code, Copilot, Cursor, ChatGPT, open-source models, MCP-based tooling, Azure DevOps, GitHub Actions, and more.
The underlying principles — context engineering, guardrails, structured workflows, human oversight — apply regardless of which AI tools you choose. We help you build patterns that survive the next tool change.
Recent engagementCase Study
From ad-hoc prompting to a team-wide AI development workflow
Detailed metrics from this engagement are still being compiled. We're happy to discuss outcomes and lessons learned in more detail.
What we don't do
- • Sell AI as a solution to problems you don’t have
- • Promise automation of work that requires human judgment
- • Build systems that bypass human oversight
- • Deploy AI into production pipelines without guardrails
- • Recommend tools we haven’t used ourselves
- • Lock you into proprietary tools or frameworks
- • Require long-term contracts to get started
Have a workflow that could use less friction?