AI Consulting
Structured AI adoption from readiness assessment through to post-implementation maturity — not just tooling advice.
Overview
We help organizations get real work done with AI across the full adoption lifecycle. Whether you are evaluating where to start, implementing Context-Driven Engineering, or maturing an AI practice you have already built, our consulting covers every stage. Engagements are structured, measurable, and designed to embed capability your team owns and sustains — not a dependency on us. Alongside the framework and process work, we run a ten-skill AI skills curriculum that coaches your people on the habits that separate teams getting real work done with AI from teams that bounce off it. Post-implementation reviews measure adoption, surface gaps, and produce a concrete roadmap for the next stage.
Key Benefits
- Structured AI readiness assessment — toolchain, team capability, process maturity, and organizational readiness scored against a clear framework
- CDE implementation consulting — agent configuration, codebase onboarding, skills library setup, and team enablement across all delivery phases
- AI skills curriculum — names the ten habits that decide whether AI work lands or wastes time, scored on a five-point scale per person, coached alongside real client work rather than in a classroom
- Free self-assessment to start — your team can score itself in about ten minutes and see the three skills to address first, no sales call required
- Post-implementation review — once the framework has been running for a meaningful period, we measure adoption, quality-gate effectiveness, agent accuracy, and team satisfaction
- AI maturity roadmap — every assessment produces a prioritized improvement plan with clear ownership
- AI governance framework design — quality gates, human approval workflows, audit trail implementation, and responsible AI policy development
- High-ROI AI use case identification and time-boxed prototyping
- Reduce technical debt through AI-driven code analysis, targeted refactoring programs, and automated documentation generation
Our Approach
AI Readiness Assessment
We audit your current development stack, team capabilities, toolchain, and process maturity. We assess organizational readiness — culture, governance appetite, and risk tolerance — and identify the highest-return AI integration points. Output: a scored readiness report and a recommended adoption path.
CDE Implementation & Pilot
We configure and customize CDE agents to your conventions, tech stack, and team workflows. We onboard your codebases, configure integrations (Jira, Confluence, CI/CD, monitoring), and run a focused pilot on real workstreams — proving measurable value in weeks, not months. Developers see results on actual work: bug fixes, code reviews, test generation, and documentation.
Post-Implementation Assessment
Once CDE has been running for a meaningful period, we run a structured review. We measure adoption depth, quality-gate pass rates, agent accuracy, rework reduction, and developer satisfaction. The output is a gap analysis and a prioritized roadmap for what comes next — new agents, broader codebase coverage, or deeper capability.
AI Skills Coaching & Sustainment
Alongside the framework, the AI skills curriculum coaches your people on the habits that decide whether AI work lands or wastes time. The coach narrates the skill being used while real work happens; intake and exit scorecards make change visible; a follow-up assessment later in the year checks that the habits stuck. As the practice matures, we expand CDE across teams and codebases, develop custom agents for domain-specific workflows, and run regular health checks.
Ready to explore AI Consulting?
Let's talk about your goals, challenges, and how we can help you get to where you want to be.