AI-native: Delivered.
Get what you expected, on time, every time.
Four numbers. Six responsibilities. Real results.
Production AI
Enq · Mistwright · Polaris · GUIDE · All projectsFive artifacts across three eras, ending in a framework that governs its own ancestors and an agent-run lifecycle on one business line.
AI adoption at org scale
GUIDE on four teamsI write the organization’s standard engineering process, agents included — then get it adopted, governed and audited rather than announced.
Predictable delivery
100% on time, five yearsDates negotiated from scope, risk and staffing, and a variance taxonomy that says which kind of slip is happening while there is still time to act.
Portfolio leadership
Two business lines · 75 engineersUnrelated customers, P&L and stacks — one modern .NET SaaS and one legacy estate — plus the shared platform under both.
Cost & platform stewardship
$500M enabled · $250M protectedShared Services consolidation: one identity and data platform behind 75%+ of company revenue instead of a per-product tax.
Talent systems
8 directs · 5 leadersI engineer hiring rubrics and leadership ladders rather than inheriting them, which is why the org survives its own growth.
Right thing. Right way. On time. On budget.
Right thing
Cross-functional partner in discovering what customers actually need. Cut the FUD. Find the gem.
Right way
Use the right tools and processes, so engineers can do their best work. It shows up as 99.95% availability, three years running.
On time
Plan broadly, across departments, and deliver without crunch. One hundred percent on-time delivery, five years running.
On budget
Estimation and planning that hold the number. A new SaaS product delivered on time and under budget? Phenomenal!
The AI journey.
Prompts
2024: Long prompts, slow progress.
+
Built on long-form prompting. Useful results, no asset: the intelligence lived in the prompt and evaporated with it, so every answer had to be re-elicited from scratch.
Process
2025: Collaboration & SDD
+
Part-spec’d, part-prompted — and the specifications quietly started doing more of the work than the prompts did.
The first true spec-driven build. With the spec as source of truth, prompting became closer to compilation and the output became reproducible.
Power
2026: Agentic Workflows & AI Transformation
+
The method extracted into a framework, derived independently. Mistwright and Polaris now run under GUIDE: the framework governs its own ancestors.
Agents run the lifecycle from market signal to support callback — investigation, triage, specs, tests, code, verification, packaging, deployment, documentation. Humans hold the roadmap, ratify the specs and authorize the releases.
One of the two business lines is an old system kept alive, improved and automated with AI. Greenfield demos are commonplace; AI carrying Day-2 work on a crufty system is the version that matters to anyone who owns one.
Four different, purposeful, credentials.
BS CS
NC State · 2009How it is actually built. An engineering CS program, not a theory one — so the nitty-gritty is first-hand, not reported.
MBA
NC State · Jenkins · 2013What the work is worth. Cost, sequence and roadmap in the language the P&L is written in.
PMP
Project Management InstituteHow a date becomes real. Estimate, staff, facilitate, and recover the schedule when reality intervenes.
MS CS
Georgia Tech · 2024 · Interactive IntelligenceWhat AI can and cannot do. Earned mid-career, AI paired with human-computer interaction.
If you own an engineering organization that has to get AI-native without missing a date — let's chat.
Twenty-two years building software. Twelve leading the people who build it, across two global business lines.