The Problem

95%
AI initiatives didn't deliver economic value
82%
ERP Team lacks Accountability for E2E AI Product Lifecycle
56%
of organizations admit they do not have a formal governance framework in place to manage Generative AI risks (bias, hallucinations, IP leakage).
65%
of consumers say they have already lost trust in an organization due to its misuse of AI or poor automated customer service experiences.

Our Solution

We provide a system that makes AI deployment responsible and decidable. Instead of relying on post-hoc reviews or manual checklists, our approach enables organizations to determine - at the moment of execution - whether an AI action is permitted to proceed.

How It Works

Our system integrates into existing enterprise AI workflows and evaluates actions before they occur. At each critical stage of the AI lifecycle, it determines whether an action can proceed, should be blocked, or requires explicit ownership, human on the loop.

All decisions are deterministic by design, require no access to customer data, and are enforced in real time - enabling governance without slowing development or production outcomes.

Every decision is recorded as a tamper-evident reference, creating an immutable trail of evidence that can be relied upon for internal review, audit, and regulatory inquiries.

Solution architecture

How We Help Enterprises

We help organizations move AI into production by making risk decidable before it becomes costly.

  • Reduce regulatory exposure by evaluating AI actions before they execute
  • Prevent fines and enforcement events through real-time blocking and escalation
  • Unlock ROI from stalled AI initiatives by enabling compliant production deployment
  • Lower governance overhead by replacing manual reviews with deterministic controls
  • Stay audit-ready by default with immutable decision records
Enterprise AI risk management
Where this fits

Where This Fits

This system applies wherever AI decisions carry risk, responsibility, or regulatory exposure:

  • Autonomous and agentic AI systems executing multi-step actions
  • Enterprise chatbots and AI assistants
  • Model deployment and CI/CD pipelines
  • AI systems operating in regulated environments
  • Decision-making and inference workflows
  • Organizations scaling AI beyond pilots into production

Who This Is For

This system is built for teams responsible for putting AI into production:

  • Engineering and platform teams deploying AI systems
  • AI and data leaders accountable for risk and compliance
  • Product teams taking AI to Go-to-market
  • Organizations operating in regulated or high-risk environments
Who this is for

Ready to transform your AI deployment?

Get started with our solution today and ensure compliance at every step.

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