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AIRAS Cloud

Technology

AI governance for technology companies

For software and technology businesses, AI governance is not only internal hygiene — it is what enterprise buyers now audit before they sign.

The governance context

Technology companies ship AI into their own products while adopting it internally at speed. Both sides create obligations: to customers who now issue AI questionnaires as standard, and to regulators who look through the vendor to the deployment.

AIRAS Cloud gives product, engineering, security and legal a shared record of what has been assessed, what controls apply, who approved it and what evidence exists — the exact material an enterprise procurement review asks for.

AI use cases we see in this sector

Every entry below is registered, assessed and evidenced under the same rulebook, whether it was built internally or arrived embedded inside a tool you already own.

  • AI features shipped inside the product
  • Foundation-model and vendor dependency management
  • Retrieval and knowledge assistants over customer data
  • Autonomous agents in product workflows
  • Engineering copilots and code generation
  • Support and success automation
  • Internal analytics and forecasting models
  • Security operations triage assistance

Obligations the assessment reflects

Screening logic, review routes and evidence expectations reflect the obligations of the sector rather than a generic risk template.

  • Position in the value chain: provider, deployer or both
  • Transparency obligations to downstream customers
  • Sub-processor and model-supplier due diligence
  • Security controls for prompts, retrieval and outputs
  • Customer contractual AI commitments
  • Change management as models and prompts evolve

The evidence you end up holding

Governance only counts when it can be produced on request. Each record exports as an assessment and decision pack with the reasoning, the controls, the approvals and the history intact.

  • Assessment and decision pack for customer review
  • Control mapping usable in security questionnaires
  • Versioned rulesets showing consistent methodology
  • Agent scope, permission and runtime records
  • Monitoring and incident history
  • Reassessment on material model or scope change

Explore further

AIRAS Cloud does not provide legal advice and does not certify compliance. Framework references describe how the platform is designed to support governance activity.

Discuss AI governance in technology

Tell us about your estate and your obligations. A named member of the team will respond with a sector-specific walkthrough.

No pricing commitment. No confidential information required.