OVERVIEW

What this service delivers

AI changes what is possible in software delivery - not just as a feature to ship, but as a force multiplier across the full development cycle. From domain modelling and architecture decisions to unit test generation, regression coverage, and code review - I integrate AI into the process that makes software better. The goal is not AI as a demo: it is fewer bugs reaching production, higher test coverage, cleaner domain boundaries, and teams that ship faster without cutting corners on quality.

BENEFITS

What you walk away with

  • ✓Fewer bugs reaching production through AI-augmented code review and quality gates
  • ✓Higher test coverage with AI-assisted unit and regression test generation
  • ✓Domain-driven design from day one - business language that maps directly to your models
  • ✓Faster delivery cycles with AI accelerating the development feedback loop
  • ✓Observable, well-tested, maintainable code your team can confidently operate and extend

HOW IT WORKS

From first call to delivered solution

A clear, structured process that gives you confidence at every stage.

1

Problem Definition

Identify the specific workflow AI will improve. Not "use AI somewhere" - but "reduce this task from 20 minutes to 30 seconds for these users." Clear success criteria before a single model call.

2

Data Assessment

Audit your existing data: quality, structure, and accessibility. Your data determines what is possible. This step prevents building a pipeline on data that cannot support the expected accuracy.

3

Architecture Design

RAG pipeline design, vector store selection, model selection, latency requirements, cost model, and fallback strategy - all designed before development starts.

4

Prototype and Validate

Build against real data with a focused user test. Measure accuracy, latency, and cost before committing to full development. Fail fast on the parts that do not meet the bar.

5

Production Integration

Integrate into your .NET stack with streaming responses, retry logic, cost alerts, and observability from day one. The AI component behaves like any other production service.

SEE IT IN PRACTICE

A real engagement, end to end

What this service looks like when delivered.