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Code and risk

“Nobody can say what AI is allowed to touch.”

Customers, auditors and the board are asking how AI-written code is controlled. The honest answer is: inconsistently.

The question leaders ask

What is AI actually allowed to touch here?

01 / The challenge

You will recognize this if…

  • Each team has its own rules for AI tools, or none at all.
  • Code, data and IP may be leaving through tools nobody approved.
  • Customer security questionnaires now ask about AI-generated code.
  • There is no record of what AI wrote and how it was checked.

02 / Why it happens

The root cause.

AI tools arrived bottom-up, much faster than policy. Governance is now trying to catch up across tools, data, IP and audit, without slowing teams down or driving AI use underground.

03 / Our point of view

What we believe.

See our approach

Banning AI tools drives their use underground. Ignoring them leaves you without answers when customers, auditors or regulators ask. Neither is a policy.

We believe governance should be short, practical and built into the tools, with evidence created as the work happens. Good governance makes the safe use of AI the easiest path, not the slowest.

04 / How we solve it

What we do about it, with you.

We help you write governance your teams will follow, configure it into the tools, and get your evidence ready for auditors.

  1. 01

    Practical AI-SDLC policy

    Which tools, for what work, with what data: rules short enough that teams follow them, aligned with ISO/IEC 42001 and the NIST AI Risk Management Framework.

  2. 02

    Guardrails in the tools

    Policy configured into the tools and pipeline, not left in a document.

  3. 03

    An evidence trail

    A record of how AI-written code is reviewed and verified, ready when someone asks.

  4. 04

    Answers for customers and auditors

    Evidence mapped to ISO/IEC 27001, SOC 2 change management, and the EU AI Act or India’s DPDP Act where they apply. We do not certify; we get you ready for those who do.

Clear rules that teams follow

Evidence for customers, auditors and the board

AI used safely, not banned or hidden

Typical first stepAI adoption assessment2 to 4 weeks · Fixed fee, agreed before we startWhat you get