Purpose-built for regulated industries
Governance architecture designed around
Policy templates and validation rules map directly to these frameworks.
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 Enforcement
LiveAny agent that fails a required policy check is blocked from deployment until remediated. Bypasses require explicit, logged sign-off from a named approver.
Key Capabilities
- Policy-as-code authoring with SR 11-7, EU AI Act, and NIST AI RMF templates Live
- Automated compliance gate blocks deployment on any policy failure Live
- Side-by-side agent comparison and version diff across every change Live
- Role-based approval workflows with cryptographic sign-off Live
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.
SR 11-7 Outcome
LiveReduces MRM audit prep from 12 weeks to 2
Key Capabilities
- Immutable version history with full configuration snapshots Live
- Continuous drift detection flags unauthorized changes in production Live
- Auto-generated SR 11-7 MRM documentation per agent version Live
- Status lifecycle (Draft → Review → Approved → Deployed → Retired) with full event log Live
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
LiveEvery agent decision traceable to a policy and a person
Key Capabilities
- Real-time decision tracing with input→action→outcome audit logs Live
- Anomaly detection and automated alerting on behavioral drift Live
- Cross-agent fleet dashboard with compliance health scoring Live
- One-click audit package export mapped to specific regulatory asks Live
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. Runtime-agnostic by design — if you migrate off AWS AgentCore to Azure AI Foundry next year, your governance policies and audit history move with you.
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.
Governance Architecture Designed Around
Policy templates and validation rules map directly to these frameworks. SOC 2 Type II certification is on our roadmap.
Who's Building This
Built from the inside out
Samy Hamad
Senior Product Manager — Fortune 500 Financial Services
Working inside a Fortune 500 financial services organization, I had a front-row seat to what happens when AI agents start scaling toward production. The capabilities were extraordinary. The governance infrastructure was not.
Teams were deploying agents that made consequential decisions — underwriting inputs, risk flags, customer communications — with no systematic way to validate what they were doing, track what changed between versions, or prove compliance to an examiner. The audit trail was whatever someone happened to write down. Policy enforcement was a checklist in a spreadsheet.
The risk is not theoretical. SR 11-7 requires documented model validation, ongoing monitoring, and a complete governance trail for every model that touches a business decision. AI agents are models. Regulators already expect the framework to apply. Most organizations building agents today are not ready for that exam.
“The gap between ‘agents in production’ and ‘agents under governance’ is where the biggest enterprise AI failures will happen over the next five years.”
I built Intellios to close that gap — a governed control plane that embeds SR 11-7 validation, continuous drift detection, and cryptographic audit trails directly into the agent lifecycle. Not bolted on after deployment. Built in from design.
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 progress on risk management. Intellios is designed to prevent both. The cost asymmetry is not ambiguous.
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.
Frequently asked questions
Have a question that isn't answered below? Reach out to sales@intellios.io