The right rigor for
the risk.
Give high-consequence changes the scrutiny they deserve. Keep routine work moving with oversight proportionate to its risk.
AI delivery. Human accountability.
Use AI aggressively, with every change attributable, assessed and reversible. For engineering leaders delivering software in regulated industries.
Explore what we offerGrounded in a production application. One team, one codebase. No independent trial yet.
01 The problem
AI made writing code cheap. It did not make deciding what to build cheap, and it did not make being wrong cheap.
Most teams have added AI to a process designed for when code was the expensive part. A plausible change can now arrive in minutes. Understanding its consequences still takes judgment.
02 The approach
Give high-consequence changes the scrutiny they deserve. Keep routine work moving with oversight proportionate to its risk.
Know whether a release achieved what you intended. Keep someone accountable for the result, with a clear measure of success.
Answer who approved a change and why. Keep responsibility clear as AI becomes a larger part of your delivery process.
Keep agreed safeguards in place as delivery accelerates. Give your teams clear boundaries and retain human responsibility for consequential decisions.
03 Fit
Engineering leaders, architects and delivery teams in banking, wealth, insurance and healthcare adopting AI coding tools while retaining an obligation to explain and reverse changes.
If you are shipping prototypes with no compliance obligation, the overhead is unlikely to pay for itself. This approach is for changes whose consequences need a durable record.
04 Working with Zylex
The engagement and contact details for this page are awaiting confirmation.
Draft: positioning, engagement offering, toolset access and contact route to be supplied before publication.