Purpose-built for regulated industries
The Platform
Three pillars of governed
AI agent delivery
Intellios embeds policy enforcement, lifecycle management, and production observability across every agent. Not bolted on. Built in.
01
Design-Time Governance
02
Lifecycle Management
03
Production Observability
Policy violations caught before agents reach production
Define your governance policies once as code. Intellios enforces them deterministically on every agent during design — before deployment, before risk, before exposure.
Design-Time Guarantee
Zero agents reach production without passing every compliance check
Key Capabilities
- Policy-as-code authoring with SR 11-7, EU AI Act, and NIST AI RMF templates
- Automated compliance gate blocks deployment on any policy failure
- Side-by-side agent comparison and version diff across every change
- Role-based approval workflows with cryptographic sign-off
Every agent version tracked, validated, and audit-ready
Version-control every agent configuration end-to-end. Detect drift continuously. Generate compliance evidence automatically, mapped to your regulatory frameworks — so your audit trail writes itself.
Engineering Target
Designed to reduce audit prep from 12 weeks to 2
Key Capabilities
- Immutable version history with full configuration snapshots
- Continuous drift detection flags unauthorized changes in production
- Auto-generated SR 11-7 MRM documentation per agent version
- Status lifecycle (Draft → Review → Approved → Deployed → Retired) with full event log
Full visibility from agent decision to audit evidence
Monitor every agent decision in real time. Trace the complete chain from input to action. When auditors arrive, your MRM documentation is already generated, already current, already waiting.
Full Accountability Chain
Every agent decision traceable to a policy and a person
Key Capabilities
- Real-time decision tracing with input→action→outcome audit logs
- Anomaly detection and automated alerting on behavioral drift
- Cross-agent fleet dashboard with compliance health scoring
- One-click audit package export mapped to specific regulatory asks
Intellios governs. Your cloud runs. Your agents perform.
What McKinsey calls “agent sprawl” — the unchecked proliferation of ungoverned agents — Intellios was designed to prevent.
McKinsey, “Seizing the Agentic AI Advantage,” June 2025
Use Cases
Built for the people who own the risk
Whether you're auditing agents, deploying them, or accountable for what they do — Intellios is designed for your specific pain and your specific workflow.
Chief Risk & Compliance Officers
The Pain
“Audit prep takes months. Evidence is scattered across teams. Every new agent deployed is another compliance liability you have to track manually.”
With Intellios
Intellios auto-generates SR 11-7 documentation, maintains continuous compliance evidence, and eliminates the audit scramble. You're audit-ready before the auditor arrives.
SR 11-7, issued by the Federal Reserve and OCC in 2011, remains the cornerstone framework for model risk management at U.S. banking organizations. It requires model validation, governance, documentation, and ongoing monitoring across the full model lifecycle.
Source: Federal Reserve, SR 11-7, April 2011
AI / ML Platform Teams
The Pain
“Manual compliance gates add weeks to every deployment cycle. Governance is the bottleneck your engineers resent and your compliance team can't accelerate.”
With Intellios
Intellios embeds governance into the deployment pipeline. Policy-as-code and automated approvals mean you ship governed agents faster — not slower.
Fewer than 10% of AI use cases make it past pilot stage, according to McKinsey research. Governance bottlenecks are a key contributor to stalled initiatives.
Source: McKinsey, "Seizing the Agentic AI Advantage," June 2025
CIOs & CTOs
The Pain
“Shadow AI is growing. You don't know how many agents are in production, what they're deciding, or whether they comply with anything.”
With Intellios
Single pane of glass across every AI agent in your organization. Full visibility. Full control. No blind spots. Every agent governed from design through retirement.
88% of organizations now deploy AI in at least one business function, yet only ~31% report scaling AI enterprise-wide. Visibility and governance are the barriers to scale.
Source: McKinsey, "The State of AI," March 2025
Your compliance team could stop scrambling.
Now accepting design partners from financial services, healthcare, and regulated enterprise.
Takes 30 seconds. We respond within one business day.
Where We Are
Building in the open. Shipping with conviction.
Intellios is an early-stage platform built by people who've lived the AI governance problem inside regulated enterprises. Here's exactly where we stand.
Core Governance Engine
Policy-as-code authoring, deterministic validation, blueprint generation, and lifecycle management are built and functional. The product works.
Design Partners
We’re looking for 3–5 enterprises in financial services, healthcare, or insurance to co-develop the platform. You get early access and direct influence on the roadmap. We get real-world validation.
SOC 2 Type II
On our compliance roadmap. We’ll pursue formal certification once design partner onboarding validates our security architecture in production environments.
We sell governance and trust. Our marketing should reflect both.
Every claim on this site is either a verifiable product capability, a sourced third-party statistic, or clearly labeled as a goal. We think enterprises deserve that standard from their vendors — especially from a vendor asking them to trust it with AI governance.
Governance Architecture Designed Around
Policy templates and validation rules map directly to these frameworks. SOC 2 Type II certification is on our roadmap.
ROI
Governance that pays for itself
The cost of ungoverned AI isn't theoretical. It's measured in breach remediation, regulatory penalties, and stalled initiatives.
$670K
additional average breach cost when shadow AI is involved ($4.63M vs. $3.96M standard). Governance pays for itself on the first prevented incident.
Source: IBM, Cost of a Data Breach Report 2025
$75M
civil money penalty assessed against Citibank by OCC for inadequate progress on risk management deficiencies. Regulators aren't waiting — and neither should you.
Source: OCC Enforcement Action, July 2024 (Docket No. AA-EC-2020-64)
~80%
of enterprises report no material EBIT impact from gen AI. Governance and workflow redesign — not more models — are the missing link between AI investment and AI returns.
Source: McKinsey, "The State of AI," March 2025; McKinsey, "Seizing the Agentic AI Advantage," June 2025
97%
of organizations that experienced an AI-related breach lacked proper AI access controls. The pattern is clear: ungoverned AI is breached AI.
Source: IBM, Cost of a Data Breach Report 2025
One shadow AI breach costs $670K more than a standard incident. One regulatory penalty can reach eight figures—Citibank paid $75M for inadequate progresson risk management. Intellios is designed to prevent both. The math isn't close.
Derived from IBM Cost of a Data Breach Report 2025 and OCC enforcement action data cited above.
The EU AI Act compliance deadlines aren't waiting for your governance roadmap. If you have more than 5 AI agents in production—or plan to by Q3—you're past the point where manual governance scales.
The Enterprise AI Agent Governance Framework
A practical framework for building governance into your AI agent lifecycle — from policy definition through production monitoring. Built from regulatory requirements across SR 11-7, EU AI Act, and NIST AI RMF.
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Frequently asked questions
Have a question that isn't answered below? Reach out to sales@intellios.io