AI governance control-as-a-service

Prove every AI decision is under control.

AegisTrace gives banks, fintechs, and insurers a continuously operating layer to inventory, explain, monitor, and evidence AI-assisted decisions—without building a governance platform from scratch.

Built for regulated financial institutions • Start with one high-risk use case

AegisTrace hero

What to expect

Governance claims backed by evidence.

01

No invented maturity

We establish what is known, missing, owned, and unresolved.

02

Human authority stays visible

Interventions and approvals remain part of the decision record.

03

Auditability by design

Controls and evidence are maintained continuously—not assembled at deadline.

The AegisTrace control graph

From regulation to decision evidence, one connected record.

Replace disconnected spreadsheets and point-in-time assessments with an institutional map of obligations, controls, AI assets, decisions, owners, risks, evidence, and exceptions.

Executive risk cockpit

A current view of AI exposure

47

Systems deployed

8

High-risk systems

91%

Controls passing

6

Open exceptions

1

Unauthorized change

94%

Evidence complete

Illustrative dashboard data showing the operating view AegisTrace maintains.

01

AI Asset Registry

Give every model, agent, workflow, and automated decision a durable identity, owner, risk classification, and lifecycle record.

02

Decision & Provenance Registry

Trace inputs, model versions, prompts, rules, outputs, human interventions, and final outcomes in one attributable chain.

03

Control Library

Map regulation and internal policy to risk appetite, approval authorities, human oversight, cybersecurity, and model controls.

Continuous assurance

Know when control conditions change.

Detect drift, missing approvals, policy violations, unexplained performance degradation, and unauthorized changes while remediation is still possible.

The evidence chain

Regulation
Policy
Control
AI asset
Decision
Evidence
Owner
Exception

A reusable institutional control graph makes accountability easier to establish as models, agents, policies, and regulatory expectations change.

Control office as a service

Start focused. Automate what proves valuable.

AegisTrace combines platform, templates, assessments, monitoring, and a recurring governance review. The operating layer becomes more automated without forcing your team through a multi-year transformation program.

  1. 01

    Inventory the estate

    Identify AI systems, owners, decisions, risk classes, and immediate control gaps.

  2. 02

    Connect controls and evidence

    Map requirements and policies to practical controls, approvals, and evidence sources.

  3. 03

    Monitor and govern

    Track exceptions, changes, performance, and control status through one executive operating view.

Subscription plans

Match the control layer to your risk.

Monthly platform and operating-layer pricing. Scope, integrations, and implementation requirements are confirmed during assessment.

Governance Starter

Establish the inventory and control baseline for a focused AI estate.

$3K / month

  • AI asset and owner registry
  • Initial risk classification
  • Core control library
  • Monthly governance review
Discuss this plan
Core offer

Decision Control

Continuously govern important AI-assisted decisions and their evidence.

$7.5K / month

  • Everything in Starter
  • Decision and provenance registry
  • Automated evidence collection
  • Continuous exception monitoring
  • Executive risk cockpit
Discuss this plan

Enterprise AI Control

Coordinate controls across a larger, higher-risk AI portfolio.

$15K / month

  • Everything in Decision Control
  • Custom policy and control mappings
  • Integration and assurance plan
  • Expanded control testing
  • Executive governance reviews
Discuss this plan

Practical answers

Before you establish the control office.

Your first controlled use case

Can you prove how your AI reached the decision?

Bring one high-risk AI workflow. We’ll map its assets, decisions, controls, owners, evidence, and exceptions into a practical governance baseline.