One practice · Three ways to enter

Services.

I help engineering leaders restore predictable delivery, adopt AI with discipline, and modernize legacy .NET systems without breaking production.

§ 01

Engineering Delivery Systems

Engagement 01 of 03

Your team is busy. Commitments still slip. Unplanned work keeps displacing the roadmap, and every explanation sounds plausible. The first step is not more process or a reorganization. It is a direct diagnosis of the system surrounding the work.

The Engineering Delivery Diagnostic turns stakeholder interviews, workflow evidence, and operating data into a written 90-day plan. When hands-on follow-through is justified, the work can continue as a focused Delivery Reset.

What the diagnostic examines
01
Planning and backlog health: whether work is ready, small, and decision-complete
02
Flow and ownership: where work waits, expands, or loses a clear owner
03
Quality and rework: how defects, reviews, and production work disrupt the plan
04
Alignment: whether product, engineering, and leadership are solving the same problem
05
Team systems: the operating constraints that turn capable people into unreliable delivery
06
Measures and incentives: what the current numbers reveal, hide, or distort
§ 02

AI Engineering Enablement

Engagement 02 of 03

Your developers are already using AI. The harder question is whether the organization has the standards, context, review gates, and measures required to use it without multiplying weak code and unreliable delivery.

I help engineering leaders turn scattered AI usage into a controlled capability. The work stays grounded in software delivery: tools, workflows, task definition, architecture context, code quality, reviews, tests, deployment gates, cost, and measurable outcomes.

Two focused ways to start
01
A 90-minute leadership strategy session with a written decision memo
02
A ten-business-day enablement diagnostic with a written 90-day plan
03
Pilot workflow selection tied to delivery, quality, rework, reliability, and cost
04
Standards for task definition, context, architecture, review, and deployment
05
A measurement model that does not confuse generated code with productivity
06
A rollout sequence that gives one team a controlled path to prove value
§ 03

.NET Modernization

Engagement 03 of 03

Legacy .NET systems rarely need a dramatic rewrite. They need an evidence-based plan that separates what should be converted, replaced, isolated, or retired without stopping feature delivery.

I have worked in .NET since 2005. I help teams modernize architecture, delivery pipelines, data access, service boundaries, and deployment practices while preserving production stability and transferring capability to the people who will own the system.

What I help with
01
Migration strategy: what to rewrite, convert, isolate, or retire
02
Architecture review: data shape, service boundaries, and API design
03
Incremental modernization using strangler patterns and measurable milestones
04
Containerization and cloud-ready deployment architecture
05
CI/CD pipelines, automated testing, and safer releases
06
Technical guidance that leaves the internal team stronger

The fit call is twenty minutes. The next step is specific.

We will establish the problem, urgency, decision owner, scope, and the appropriate paid next step.

Book a 20-minute fit call →