Practice Leadership

Every AI system registered, classified, and mapped against applicable regulations, filterable by risk tier, business unit, deployment status, and compliance readiness. A single view of your entire AI portfolio. Know which systems are high-risk, which are approaching compliance deadlines, and which need attention, without opening a spreadsheet.

Centralised risk register aggregating risks across all AI systems, categorised by type, scored by likelihood and impact, assigned to risk owners, and tracked through mitigation. Cross-system risk correlation identifies when risks in one system create exposure for others. A recruitment AI and a performance review AI using the same training data share data quality risk; the register surfaces this.

Visual representation of compliance status across the entire portfolio. Which systems are green, fully compliant with all applicable obligations. Which are amber, compliant but with gaps in evidence or pending reviews. Which are red, missing documentation, overdue assessments, or unresolved findings. Drill from the heat map into individual system gaps with one click.

Full workflow visibility into the conformity assessment and certification process across all systems. Current stage, blockers, estimated completion dates, assigned reviewers, and outstanding actions for each system. Executives see which systems are on track and which are at risk of missing their certification window, without asking the compliance team for updates.

Auto-generated governance committee agendas based on current portfolio status: risk items requiring decisions, compliance milestones approaching, incident reports requiring board awareness, and certification updates. The agenda is pre-populated with the data the committee needs to make informed decisions.

Every governance decision is logged with full context: what was decided, who decided, what information was considered, and what alternatives were rejected. Decisions are linked to the AI systems they affect. The decision log is part of the immutable audit trail.

Define and manage your organisation's AI risk appetite: acceptable risk levels by category, escalation thresholds, and tolerance boundaries. When a system's risk exceeds the configured appetite, the platform escalates automatically. The board sets the boundaries, the platform enforces them.

Dedicated workspace for AI due diligence during mergers and acquisitions. Import and assess the target organisation's AI system inventory against your governance standards. Identify compliance gaps, regulatory risks, and integration requirements before the deal closes.