AI Tools Alone Won't Transform Your SDLC
Many teams believe they're already using AI effectively across the software development lifecycle (SDLC). But tool adoption isn't capability, and the gap between the two is where investment quietly leaks. This scorecard gives you a snapshot of where your team stands across all seven SDLC phases, scored on a five-level maturity scale.
What is the Five-Level Maturity Scale?
The Five Level Maturity Scale measures how systematically and safely AI is embedded across each phase of the SDLC.
Exploring
Experimenting
Operationalizing
Scaling
Transforming
How the Scorecard Works
Step 1: Answer the Questions
Select the answer that best describes your team's current state, for each SDLC phase. The scorecard will calculate each phase's current score from your answer.
Step 2: Set a Target
Choose a target for each phase, typically one to two levels up from where you are now.
Step 3: Re-measure at Handover
Your step one scores will become the baseline. When the engagement wraps and capability hands back to your team, you score again - the gap between the two is your proof of improvement.
Your maturity level is scored based on your lowest-scoring phase
Even if your team moves fast in, say, code generation, if they're still relying on a developer to manually run regression testing, that doesn't add up to a high maturity score.
What are the target outcomes?
Measurable change in how your team ships to production, not just a higher score.
Walk Through Your Results With Us
Share a few details below and we'll set up a time to go through your SDLC results together, what they mean, and what a phased engagement would actually involve for your team.
