Governance
Governance at the speed of execution
DSG.AI brings audit execution, AI governance, portfolio control, and production monitoring into one operating layer.
Operating priorities
Start with the work you need to improve.
The suite is organized by the decision your team needs to make next: assess, approve, monitor, automate, or audit.
Audit evidence
Reduce evidence chase and reviewer rework.
AI regulation
Classify systems and map controls before review.
Portfolio control
See every AI use case, owner, status, and risk tier.
Production oversight
Monitor AI behavior after deployment, not only before launch.
GRC throughput
Turn policies, controls, evidence, and approvals into executable workflows.
Product architecture
One governance layer. Five entry points.
assureIQ
Audit execution and evidence automation
Evidence requests, control testing, findings, and source-linked workpapers.
assessAI
AI assessment and regulatory readiness
AI system inventory, EU AI Act classification, control mapping, and assessment evidence.
manageAI Portfolio
AI portfolio governance
Use-case intake, ownership, risk tiering, approvals, and investment visibility.
manageAI Monitoring
Production AI monitoring
Drift, performance, incidents, model behavior, and ongoing oversight.
GRC Automation
Control workflows
Policy mapping, evidence reuse, approvals, and audit-ready status across frameworks.
How it fits
Assess first. Govern the portfolio. Monitor production. Audit the evidence.
assessAI classifies systems and maps obligations before review.
manageAI Portfolio controls intake, risk tiers, approvals, and investment visibility.
manageAI Monitoring keeps production AI observable after deployment.
assureIQ and GRC Automation turn controls, evidence, and owner actions into audit-grade output.
Proof