Produce SOX-grade change evidence for AI-assisted code

The problem

SOX IT general controls require traceable change management. When an AI assistant writes or rewrites code, the usual questions get harder to answer: who changed this, on what basis, and against which control. Audit cycles slow down while teams reconstruct the story after the fact, and the reconstruction is the weakest form of evidence you can offer.

How Encephalon addresses it

Enterprise Intelligence produces a structured audit record of how AI was used in each session, not only what it produced. Changes stay tied to your encoded controls, and the decision rationale behind them is retained where auditors can review it, rather than lost in a chat window that closed months ago. Encephalon’s Enterprise AI Governance Practice maps that record to the controls framework your auditors already use.

The outcome

Defensible change evidence for AI-touched code, shorter audit preparation, and fewer control deficiencies raised on the ITGC walkthrough. Your change-management posture gets more defensible as AI takes on a larger share of the work, instead of weaker.

Book a 30-minute discovery call and bring your last ITGC finding list.

Keep exploring

More Financial Services use cases

Keep AI-assisted development inside the PCI boundary

Encode your PCI DSS coding standards into every AI-assisted session so the cardholder data boundary stays tight while engineers keep their speed.

Hold model code and documentation to your validation standard

Model documentation that arrives review-ready, because your validation-evidence standards are encoded into the sessions that produce it.

View all use cases

See Encephalon's Governance Practice
in Action

30-minute discovery call with the founding team. We'll show you how context engineering works with your stack.

Book a 30-minute discovery call

No sales pitch. Just a technical conversation. Live demos available.

or

Tell Us What You're Working Through

We'll respond within one business day.

The Practice is a full-service implementation, not a self-serve subscription. We require an executive sponsor for every engagement because AI adoption is organizational change, not a technology deployment.