The Trustible platform
AI governance built for the speed of enterprise AI
The tools most teams use for AI governance weren't built for the job. Trustible is purpose-built, with expert intelligence embedded at every layer and a team that governs AI alongside you.
PLATFORM OVERVIEW
From AI intake to risk management and continuous monitoring
The Trustible AI Governance Platform handles the full lifecycle of AI, enabling you intake, manage risk, monitor, and comply at scale.
IntakeManage RiskMonitorComply
Intake
Use-case, model, & vendor capture
Risk-based triage
Manage Risk
Risk & impact assessments
Mitigation and incident tracking
Monitor
AI Metrics collection
Regulatory & vendor alerts
Comply
Global regulatory frameworks
Control & audit evidence
Unified AI inventory
One system of record for every use case, model, agent & vendor
Expert regulatory intelligence & policy frameworks
Curated risk taxonomies and framework mappings embedded at every layer
Why Trustible
What makes Trustible different
Four things separate Trustible from repurposed GRC tools and point solutions.
Purpose-built for AI governance
Built from the ground up for AI use cases, models, agents, and vendors. Every field, every workflow, every risk category exists because AI governance requires it.
Expert intelligence embedded
Risk taxonomies, framework mappings, and risk cards are curated by AI governance experts and updated continuously from real-world incidents. Your team inherits years of governance expertise the moment they log in.
Governance that accelerates, not blocks
Risk-based triage means low-risk AI moves in hours, not weeks. Your governance program becomes the part of your AI strategy that approves more AI faster.
Expert-guided AI governance enablement
Our team doesn't hand you software and wish you luck. We pressure-test your workflows, build alongside your governance leads, and translate your internal AI practices into a scalable operating model.
Same use case, two processes — GPT-4 customer support agent submitted for review
Ad hoc governance todayAvg 18 days
1
Request sent via email
No standard format. Risk info missing or inconsistent.
2
AI lead chases missing info
3–4 back-and-forth emails to gather basic details.
3
Risk assessment done manually
Governance lead reviews from scratch in a spreadsheet.
4
Legal notified by separate email
New thread. Timeline unclear. May get lost.
5
Decision emailed back
No audit trail. Documentation saved manually, if at all.
With TrustibleAvg 2 days
1
Structured intake form submitted
Required fields enforced before submission is accepted.
2
Automated risk triage
Scored instantly → High. Routes to standard review track.
3
Pre-built risk recommendations assigned
Expert taxonomy applied. Reviewer sees a structured assessment.
4
Stakeholders notified in-platform
Legal and tech gets a structured task with full context. No email thread.
5
Decision logged with full audit trail
Reviewer, rationale, and timestamp recorded, auto-filed to framework.
18 days
Ad hoc process average
2 days
Trustible average · 10× faster
Customer spotlight
“Trustible transformed AI governance for us into an operational reality. And we can rely on it. It’s evidence based and it’s just made life so much easier.”
IM
Ilona Meyer
General Counsel & Company Secretary, Nuix
Intake
Capture every AI use case before it goes into production
Structured intake workflows replace email chains and spreadsheets. Every use case, model, agent, and vendor enters a risk-based triage system the moment it's submitted.
- Risk-based routing automatically assigns review depth by risk tier
- Customizable workflows match your internal review process
- Automated assessments reduce manual review time
- Full audit trail on every submission and decision
Intake queue
GPT-4 customer support agentMedium · Day 2
Vendor: DataRobot ML platformHigh · Day 1
Internal churn predictor v3Low · Auto-approved
Claude for legal researchMedium · Day 4
Trustible — Intake · Risk routing
Intake
Queue
Risk routing
Config
Last 30 days
84
Submissions
41
Auto-approved
29
Standard review
14
Deep review
Risk-based routing
How submissions are scored and assigned to a review track
Submission
Intake form
Use case, data type, vendor, scope
Automated scoring
5 risk dimensions
Performance
Data Privacy
Cybersecurity
Ethical
Legal
Score → Medium
Track assigned
Low · Auto-approval
Instant approval.
Avg: 2 hours
Medium · Standard ← assigned
Governance-lead review.
Avg: 2 days
High · Deep review
Full assessment required.
Avg: 7 days
Use caseScoreTrackSLA
Customer support agent61 · MedStandard1 day left
HR candidate screener82 · HighDeep5 days left
Marketing web copy generator22 · LowAuto-approvedDone
Manage Risk
Score risk and orchestrate reviews with expert intelligence
Trustible's risk intelligence layer — curated by AI governance experts and updated from real-world incidents — is built into every assessment, scoring decision, and review workflow.
- Pre-built risk cards across 40+ risk dimensions
- Model risk assessments covering training data, architecture, legal
- Vendor evaluations with standardized scoring
- Mitigation tracking linked to every identified risk
See how embedded intelligence changes every risk decision
RISK ASSESSMENT — HR RESUME SCREENING MODEL
Bias riskHigh · 3 mitigations
Data privacyMedium · 1 mitigation
ExplainabilityHigh · Review required
Legal exposureMedium · EU AI Act
Trustible — Govern · Model risk assessment · GPT-5.2
Manage Risk
Review queue
Risk assessments
Vendor evals
Risk taxonomy
Assessment
HR Resume Screening System
5 categories · expert risk cards applied · 3 mitigations required
High risk
Overall risk level
Full disclosure
Provider fully documents.
Partial disclosure
Incomplete documentation.
No disclosure
Team assesses independently.
Training dataPartial
Data sources documentedFull
PII handling disclosedFull
Bias mitigation in trainingPartial
Data recency statedPartial
Evaluations and testingNo disclosure
Benchmark results sharedNone
Red team resultsNone
Failure mode documentationNone
Independent auditNone
Legal and compliancePartial
Data processing agreementFull
EU AI Act classificationPartial
IP ownership of outputsPartial
Liability termsFull
Monitor
Watch every AI asset after it goes live
Governance doesn't stop at approval. Trustible monitors internal AI performance and external risk signals continuously, triggering governance actions when thresholds are crossed.
- AI inventory with full lifecycle status for every asset
- External risk signal monitoring — regulatory updates, incidents
- Automated alerts that trigger re-assessment workflows
- Agentic AI observability for internal AI systems
Active alerts
EU AI Act guidance updated
Fraud model — drift detected
Vendor Review: Salesforce Einstein
Trustible — Monitor · Use-case monitoring
Monitor
AI inventory
Metrics
Alerts
External signals
Observability
Inventory
26
Use cases monitored
459
Metrics tracked
8
Open alerts
21
Overdue checks
Use-case monitoring
Metrics collected continuously — internal system metrics and external risk signals
Internal monitoring 8External monitoring 4
MetricFrequencySourceCurrentTrend
Usage & engagement
Active users
Distinct seats authenticated in the last 7 days
DailyVendor API184Updated 8h ago
Query volume
Total prompts submitted across all workflows
DailyVendor API1,847 / wkUpdated 8h ago
Performance & reliability
P95 latency
Server-side response time, first-party telemetry
Real-timeFirst-party1.7 sLive
Output drift (PSI)
Population stability of model outputs vs baseline
DailyFirst-party0.31Updated 2h ago
AI quality & safety
SME spot-check correctness
Sample of 50 outputs / quarter reviewed by experts
QuarterlySME review88%Q1 2026
Hallucinated citation rate
Citations that did not resolve to a real source
QuarterlySME review6%Overdue · 5 mo ago
Cost & ROI
Monthly spend
Total invoiced cost — seats plus overages
MonthlyVendor API$48,400Updated 12d ago
Hours saved
Self-reported time saved, quarterly user survey
QuarterlyManual4.2 hrs/wkOverdue · 4 mo ago
First-party model telemetryVendor / SaaS APIManual & SME review
Comply
Map controls once. Satisfy every framework continuously.
Trustible maps your governance program to EU AI Act, NIST AI RMF, ISO 42001, and more — automatically generating the audit evidence your regulators expect.
- Pre-mapped controls for EU AI Act, NIST RMF, ISO 42001
- Evidence generated as a byproduct of every governance action
- Audit prep becomes a query, not a project
- Framework coverage updates as regulations evolve
Controls & policies mapped to framework articles
AI Third Party Risk MgmtSatisfied
Impact AssessmentsIn review
Incident ResponseIn review
AI TrainingGaps
Trustible — Comply · Framework readiness
Comply
Framework readiness
Controls & policies
Policy analysis
Audit export
Org policy readiness
Framework readiness
Organizational policy and use-case readiness across every framework you track
On trackIn progressNeeds work
AIA
EU AI Act
European Artificial Intelligence Act
CO
Colorado SB 24-205
Consumer protections for AI in automated decisions
NIST
NIST AI RMF
AI Risk Management Framework
ISO
ISO 42001
AI Management System standard
FSS
Financial Services AI RMF
FSSCC industry framework, aligned to NIST AI RMF
NAIC
US Insurance AI Framework
NAIC model bulletin, NYDFS & Colorado insurance rules
SG
Singapore Model AI Governance
Singapore framework for responsible AI
Common questions
Things buyers ask before the demo
How is this different from our GRC tool?
GRC tools weren't built for AI. They lack AI-specific risk dimensions, model-level assessment, agentic governance, and framework mappings updated for AI regulation. Trustible complements your existing GRC — it doesn't replace it.
Does this require MLOps or technical integration?
No. Trustible is designed for governance and compliance teams, not engineers. You can get your entire intake and risk program running without any MLOps integration.
How long does it take to go live?
Most customers have a structured intake program and initial risk assessments running within 30 days. Full platform deployment — intake, govern, monitor, comply — is typically complete by day 90.
What frameworks does Trustible support?
EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, and a growing set of state, global, and industry-specific frameworks. Framework coverage is maintained by our team and updated as regulations evolve.
See it in your environment
The platform built for how AI governance actually works
Request a walkthrough tailored to your industry, your frameworks, and the AI your team is already trying to govern.
SOC 2 certified
Expert AI governance team
EU AI Act · NIST · ISO 42001 · and more
Live in 90 days