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Agentic AI governance for what's ahead.

Regulators aren't waiting. Sigmet gives your teams a defensible governance posture for agentic AI — mapped to what examiners are actually looking for.

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Regulatory Landscape
01

Regulators are focusing on agentic AI — and the mindset is different.

AI agents don't just generate content — they act, decide, and access systems autonomously. That distinction changes the supervisory obligation entirely. FINRA has named agentic AI explicitly in its latest oversight guidance. The SEC is embedding AI review across every examination category.

The regulatory lens is no longer on whether firms are using AI. It's on how autonomous systems are being governed, supervised, and documented once they're in production. Policies written for generative AI tools don't transfer cleanly to agents — and examiners know the difference.

"Principles-based regulation rewards the firms that move first. The benchmark isn't a static checklist — it's what leading firms have already put in place."

Firms that treat agentic governance as a compliance checkbox will face the same gap they faced with best execution documentation a decade ago: built reactively, at higher cost, under examination pressure. The window to get ahead of it is now.

Our Approach
02

Three levels of depth that move the agentic needle.

Most governance consultants approach agentic AI as a policy exercise. We don't. Effective governance at this layer requires fluency across regulatory intent, operational reality, and technical architecture — so that's exactly where we operate.

Level 01
Regulatory Translation
FINRA and SEC guidance mapped to agentic-specific governance patterns — not generic AI policy, but supervision scoped to how agents act and decide.
Level 02
Initiative Assessment
In-flight agentic projects examined through the lens of what a regulatory examiner would actually ask — surfacing structural gaps before they become findings.
Level 03
Architectural Depth
When gaps exist, we get specific — down to what's missing from the agentic architecture at an engineering level. We identify exactly what needs to be in place.

We don't write code or recommend vendors. We identify what needs to exist and what doesn't — so your teams can act with precision rather than guesswork.

Strategic Positioning
03

Defensible agentic AI starts with offense.

Building governance infrastructure now doesn't just reduce risk exposure. It sets the standard others get measured against — and clears the path to move agents from pilot to production while competitors are still debating frameworks.

When examiners assess whether governance is "reasonably designed," the benchmark they apply isn't written down. It's calibrated against what they've seen in leading firms. Getting there first shapes the benchmark itself.

Sigmet exists at this intersection: deep enough to understand what examiners are building toward, practical enough to turn that into durable infrastructure for your teams.

See where governance holds up — and where it doesn't.

A Governance Readiness Assessment provides a clear read on current posture, a prioritised path forward, and an actionable framework to move from pilot to production.