Operating output
Real-time view
Drift, hallucination rate, policy violations, multi-turn consistency, vendor exposure. Read by the operator, every day.
- Continuous behavior evaluation
- Live dashboards and alerts
- Vendor and internal-agent coverage
The risk-side output, not the door.
Continuous, framework-agnostic evidence. SR 11-7, ISO 42001, NIST AI RMF, and the EU AI Act on one infrastructure. For finance.
Governance is the assurance output, not the entry point. The same pipeline that drives your operating view produces the audit-grade evidence underneath.
TrustEvals service brief for finance AI teams.
Governance output
Audit-grade evidence
The same traces, mapped to the framework your auditor is holding. Pulled on demand. No quarterly scramble.
- Framework-mapped artefact pack
- Source-of-truth trace lineage
- SR 11-7, ISO 42001, NIST AI RMF, EU AI Act
What continuous evidence looks like
One pipeline. Two outputs.
Production traces flow into a measurement engine. The operating view and the audit pack are the same evidence in two formats. There is no second pipeline.
The split matters: operators need live behavior data, while risk teams need framework-mapped evidence. TrustEvals keeps both on the same trace data.
The governance read becomes continuous evidence built on a golden dataset, replacing point-in-time artifact churn.
Frameworks we cover
The four finance auditors actually ask about.
One trace pipeline, mapped to all four. SR 11-7 leads for our segment. The others sit alongside it on the same pipeline.
SR 11-7
Federal Reserve · model risk management
The bank-grade discipline US examiners already apply to model governance. Our evidence pipeline maps every production trace to the SR 11-7 development, validation, and ongoing-monitoring spine.
ISO 42001
International · AI management system
The certification track procurement teams ask for. Continuous evidence underneath, audit pack on demand. Auditors run the audit.
NIST AI RMF
US · voluntary risk framework
Govern, Map, Measure, Manage. We produce the artefacts each function expects, sourced from the same trace pipeline that feeds the operating view.
EU AI Act
EU · high-risk system obligations
Risk classification, data governance, post-market monitoring, incident reporting. Mapped to the same trace data. No second pipeline.
How it sits with adoption
Start with the AI Audit. Governance follows the evidence.
The AI Audit produces the operating read. From there, AI Governance turns production behavior, owners, controls, and framework mapping into assurance evidence.
Before the Audit
Governance has no operating read.
Teams cannot show which AI tools, agents, and outputs are running, who owns them, or which controls have evidence behind them. Policy work stays detached from operating reality.
After the Audit
Governance moves on live evidence.
Production traces, owner mapping, control evidence, and framework coverage give AI Governance the working papers the audit committee expects.
Engagement shapes
Two ways teams engage us on the risk side.
Continuous evidence is the default. Remediation is the incident-driven shape when something has already moved.
Continuous
Evidence pipeline
Always-on. Production traces in, framework-mapped evidence out. Operating view and audit pack from the same source. The default shape after a Maturity Model places governance on your roadmap.
Incident-driven
Remediation Advisory
Three to six week engagements. Triggered by drift, a regulator question, vendor exposure, or an AIUC-1 certification ask. We stand up the evidence stream around the incident and hand back an operating loop.
Start with the 2-week AI Audit.
Leave with the operating read: AI value, AI risk, fluency gaps, owners, and the next funded workstream.
FAQ
Common questions. Direct answers.
Yes if you have already done equivalent work elsewhere. If you have not, governance is the wrong problem to solve first. We will tell you that on the discovery call rather than sell you a governance engagement that will not stick.
We do not run SOC 2 audits. For your SOC 2 or ISO 42001 readiness we produce the evidence pipeline that feeds the audit. Auditors run the audit.
Point-in-time tools and single-vendor dashboards generate a snapshot. We are framework-agnostic and continuous. The same infrastructure produces the real-time operating view and the audit-grade evidence trail.