Enterprise AI governance,
made visible.
AI Pulse discovers every AI system your organisation runs, assesses its risk, maps it to the frameworks that apply, and backs it with audit-ready evidence — read-only, deployed in your tenant.
Microsoft Azure — available now
Amazon Web Services — coming Q4 2026
AI is spreading faster than anyone can govern it.
Agents, copilots and models now appear in every business unit and cloud — much of it unseen. Boards and regulators hold executives personally accountable for how AI behaves, yet the evidence of control stays scattered across security tools, cloud bills and spreadsheets. The result is a widening gap between the AI an organisation runs and the AI it can actually account for.
The governance layer between AI adoption and AI accountability.
AI Pulse gives your executive team one trusted view of the AI you run — what exists, who owns it, how risky it is, and whether it is governed. Not self-reported in a spreadsheet, but discovered automatically from your own cloud, and traced from the organisation all the way down to the model.
- Organisation
- Application
- Agent
- Model
Read-only. Operational in hours, not months.
Grant read-only access and AI Pulse does the rest — no agents in your workloads, no data pipelines to maintain, nothing to migrate.
Discover
Connect via Azure Managed Identity — read-only, no stored credentials. AI Pulse scans your estate for AI services, agents and models, including the shadow AI no one registered.
Assess
Every system is risk-tiered — exposure, ownership, data sensitivity and behaviour — so leadership can see which AI is governed, which is exposed, and which needs action.
Map once
Map each system a single time and report it against many frameworks — EU AI Act, ISO 42001, NIST AI RMF, MAS TRM and more. No re-work per regulation.
Evidence
Control state and provenance are collected continuously, producing audit-ready evidence you can put in front of a board or a regulator — not a screenshot scramble the week before an audit.
Remediate
Gaps become prioritised, owned actions — carried out in your own Azure, ITSM and DevOps tools. AI Pulse observes and directs; it never writes to your environment.
Governance is only as good as the numbers behind it.
Every figure in AI Pulse carries its origin. A number is Live when it comes straight from your cloud, Derived when it is calculated, an Assumption when it rests on a configured input, and Not Assessed when the source simply isn't connected yet. AI Pulse never invents a value to fill a gap or paints a dashboard green to look reassuring — the gaps are the point, because they tell you exactly what to connect or assess next.
One source of truth, surfaced as the decision each leader owns.
The same underlying data, presented as what matters to each seat at the table — no dashboards to build, no analysts to brief.
Decision-grade — not dashboard soup.
Real screens from AI Pulse. Headline first, depth a click away — and every view supports a specific decision.
Deployed where your data lives. Read-only by design.
AI Pulse runs inside your own Azure tenant and observes your estate through read-only permissions. It holds zero write access, stores no credentials, and no AI asset data, telemetry or evidence leaves your cloud boundary.
Azure-native
Runs as a Container App in your subscription, authenticating with Managed Identity — no secrets, no service principals, least-privilege read-only scopes.
Available nowAmazon Web Services
The same executive governance, extended to your AWS estate via read-only IAM roles — Bedrock, SageMaker, Security Hub and cost telemetry, normalised alongside Azure.
Coming Q4 2026Your data stays yours
Signals are processed within your environment. AI Pulse never transmits AI asset data, telemetry or compliance evidence to third-party servers.
No agents, no migration
Nothing is deployed into your workloads and there are no pipelines to maintain. Grant access and discovery begins immediately.
A deliberate path, not a wish list.
Azure-native governance
Discovery, risk assessment, framework mapping and audit-ready evidence across the Microsoft AI estate.
AWS parity
Bedrock, SageMaker and AWS security & cost signals brought into the same governance layer as Azure.
Continuous board reporting
Deeper attestation workflows and standing board-level reporting on the state of enterprise AI.
Move from AI adoption to AI accountability.
Book a 30-minute briefing. We'll walk a live deployment against a cloud environment and show you what AI Pulse surfaces on day one.