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Make risk a strategic advantage.

DecisionDoor gives compliance and engineering leaders one trusted view of control health, evidence, and the risks that matter now.

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The governance gap

The governance gap is widening

Compliance and risk teams are being asked to govern AI-driven decisions faster than most organizations can build the controls to do it.

  • 88% vs. 8%

    See AI as a competitive advantage vs. have comprehensive governance; only 20% are proficient in managing AI risk.

    88% of leaders recognize AI as a source of competitive advantage, yet few have invested in that ambition. Only 38% have a dedicated budget for AI skill development.

    Economist Impact & Kyocera From Intent to Action: The Leaders’ Guide to Building AI-Powered Workplaces

  • 74% vs. 21%

    Expect agentic AI adoption within two years vs. have a mature governance model; nearly two-thirds cite security and risk as barriers.

    The central risk is no longer just whether the model produced a good answer. It is whether the system was entitled to take the action at all.

    Stéphane Gervais, Founder & CEO of ApexTransform Deloitte State of AI Report / The Missing Layer In Agentic AI, Forbes

  • 5x higher ROI

    For organizations deeply committed to control over data, infrastructure, and decision architecture.

    Sovereignty defines which agents can touch the data, in which region, under which policies, and how all of that is monitored and audited. Rather than being a brake on agentic AI, sovereignty sets the safe operating boundaries that allow organizations to scale with confidence.

    Devin Pratt, Research Director at IDC Establishing AI and Data Sovereignty in the Age of Autonomous Systems, MIT Technology Review Insights / EnterpriseDB

  • 59% require oversight

    Of technology executives require mandatory human oversight for autonomous agents.

    An agent can be authenticated, hold valid credentials and have permission to use a payment system. None of that proves it should release this payment to this recipient now.

    Stéphane Gervais, Founder & CEO of ApexTransform Agent Confidence on the Technical Frontier, MIT Technology Review Insights

A clear path to control

From policy to production, in five steps

DecisionDoor turns the rules you already have into governed, testable, and portable software.

  1. Describe the rule

    You explain a business rule or upload a document describing a policy or workflow.

  2. Generate the schema

    DecisionDoor generates a series of deterministic rules in an open-source expression language and a proper data schema.

  3. Test it

    You can test the rules by using either the auto-generated UI or API.

  4. Refine and publish

    Tell DecisionDoor what to change to adjust the rules yourself. Once happy, publish.

  5. Own it

    The rules are fixed and API is hardened and optimized. You can now self-host it or move it to your own cloud provider account.

DecisionDoor private preview

See your risk clearly. Act on it with confidence.

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