AI Development Audit
An audit of how AI works across the entire development cycle — from requirements to delivery — with an adoption plan.
01 · The problem
Developers got AI tools and write code faster — but releases don't ship any faster. The bottleneck has moved: the review queue, testing, clarifying requirements.
Speeding up one stage doesn't speed up the system. For AI to make a difference at the business level, it has to work across the whole delivery flow, not just in the code editor.
02 · When you need it
- AI tools have been purchased, but there is no visible effect on timelines or quality
- Teams use AI in different ways, with no shared rules or practices
- Management asks what AI has delivered, and there is no answer
- You need to decide where to invest — tools, a platform or training
03 · What we analyze
- The delivery flow from requirement to release — where tasks wait and why
- How teams actually use AI
- How accessible corporate context is to AI — code, documentation, architecture, tasks
- Tools, models, costs
- Security rules and how they are followed in practice
- Metrics that show whether there is an effect
04 · How we work
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step 01
Diagnostic
Interviews with technical leaders and teams, a review of the process and tools. We work with real tasks, not questionnaires.
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step 02
Flow map
We trace a task's path through the development cycle, find where it waits and estimate where AI will pay off first.
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step 03
Assessment by dimension
Adoption, SDLC, context, agents, security, platform, metrics — with a rationale for every score.
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step 04
Plan
The target state and prioritized steps for 30 and 90 days — with owners, risks and success criteria.
05 · What you get
The exact set of deliverables is agreed after the diagnostic. I don't promise effect figures in advance — they depend on the starting point and are written into the plan as criteria.
- 01A report with a map of the delivery flow and its bottlenecks
- 02An assessment across seven dimensions with rationale
- 03Target architecture for AI in your development process
- 04A 30- and 90-day plan with success criteria
- 05A walkthrough with management and teams
Related services
Next step
Let's discuss your project
Tell me what is happening with your development and what you expect from AI. I reply personally and suggest a format — a diagnostic, an audit or a consultation.