Diagnostic Assessment
How Deeply Is AI Embedded Across Your Software Delivery Lifecycle?
Ad hoc AI usage by individual engineers is not the same as an AI-enabled SDLC. This assessment benchmarks how effectively AI is integrated across planning, code generation, review, testing, and deployment, and where the structural gains are still on the table.
Takes 20 to 25 minutes. No commitment required.
Why This Assessment Matters
Most engineering organizations have already adopted AI, just not deliberately. Engineers use Copilot, Claude, and Cursor on their own. Pull request descriptions get AI-generated. Tests sometimes get AI-suggested. The activity is real, but the leverage is not yet structural, because the SDLC itself has not been redesigned around the assumption that AI is a participant rather than a personal productivity tool.
Structural AI integration looks different from individual adoption. It changes how stories are scoped, how reviews are conducted, how regressions are caught, and how releases are validated. Done well, it raises the floor on engineering output across the entire team rather than only the engineers who happened to invest the most personal time learning the tools.
This assessment measures the depth of AI integration across the five dimensions that most directly determine whether AI is producing real, compounding leverage in your delivery system, or whether it is still a productivity story told by individual engineers in retros.
What This Assessment Evaluates
- 01Coverage of AI assistance across the planning to deployment lifecycle
- 02Discipline around AI-generated code review and validation
- 03Test generation and regression coverage produced with AI
- 04Standardization of AI tools, prompts, and workflow patterns
- 05Measurement of AI impact on cycle time and quality
What You Get Back
Personalized Maturity Snapshot
A clear scorecard placing your organization on the maturity spectrum across the five evaluated dimensions, with the specific gaps that drove your tier.
Benchmark Context
Comparative context drawn from Sonatafy's 60 plus client engagement dataset, so you can see how your scores compare to peers at similar scale.
Recommended Next Step
A specific, tier appropriate recommendation, whether a focused diagnostic, a targeted intervention, or a structural conversation with our delivery team.
Trusted by Engineering Leaders at Growth Stage and Enterprise Companies
“The assessment surfaced structural issues our team had been working around for months. The recommended next step gave us a concrete starting point.”
Part of the Sonatafy Diagnostic Suite
This is one of ten diagnostic tools Sonatafy offers, each surfacing a different dimension of delivery, product, or AI readiness health. Take the others to build a complete picture of where your organization is strongest and where it is structurally exposed.
Take the Assessment
Begin the SDLC and AI Integration Diagnostic
Takes 20 to 25 minutes. No commitment required.