AI Governance

One governed AI record.
Multiple frameworks. Less compliance rework.

PulseAI connects your AI inventory, impact assessments, operational-risk signals, decisions, and evidence, then maps the same structured record across the supported frameworks and jurisdictions that apply to your organization.

See how PulseAI maps your AI estate across frameworks Explore the Evidence Vault

One record, multiple framework views

Capture once. Reuse across supported frameworks.

PulseAI does not turn one form into proof of compliance. It gives the same governed inputs a consistent structure, then applies each supported framework's requirements so shared work is reused and framework-specific gaps remain visible.

01 · Governed record

Maintain the source once

  • AI inventory and use cases
  • Owners, decisions, and approvals
  • Impact-assessment answers
  • Dependencies and resilience

02 · Framework views

Apply distinct requirements

  • Per-framework completeness
  • Satisfied input paths
  • Framework-specific gaps
  • Applicable clause references

03 · Evidence

Preserve the assessed record

  • Governance event and actor
  • Framework and clause mapping
  • Captured version and receipt
  • Exportable review trail

Supported framework packs

Activate the views that apply to you.

Supported packs are named explicitly. Coverage is not presented as an exhaustive global control catalog.

ISO/IEC 42001

AI management-system risk identification, treatment, oversight, and operating controls.

NIST AI RMF

Govern, Map, Measure, and Manage views grounded in the same assessment record.

EU AI Act FRIA

Fundamental-rights impact-assessment inputs for applicable high-risk deployments.

Canada AIA

Impact-level and assessment inputs for applicable federal administrative decisions.

OSFI E-23

Model inventory, risk rating, lifecycle, monitoring, and contingency readiness for FRFIs.

Operational risk

Govern the operational risk behind the regulation.

Governance is not only documentation. PulseAI surfaces how models, providers, people, and fallback capacity affect the organization's ability to operate when AI fails or changes.

Dependency concentration

See where shared models or providers create correlated failure across use cases and departments.

Third-party exposure

Bring vendor models, dependencies, data-processing terms, and shadow AI into the same governance workflow.

Fallback and alternatives

Record fallback procedures, alternative models, and the conditions that trigger a controlled switch.

Manual capacity and recovery

Assess whether teams can continue critical work when automation deteriorates or becomes unavailable.

Monitoring readiness

Connect review cadence, exception handling, health findings, and recovery expectations to accountable owners.

Cross-department exposure

Understand how one model or provider can affect multiple operating units at the same time.

Evidence Vault

Proof that stays connected to the requirement it supports.

Evidence Vault seals completed assessments and governance events into write-once storage the moment they happen, with their applicable framework and clause mappings recorded at capture time, so the evidence trail exists before anyone asks for it.

Records are version-pinned and locked for the term of your retention profile, a weekly signed digest chain makes silent removal detectable, and signed evidence bundles verify offline with standard tools.

Explore the Evidence Vault

Captured automatically

  • Completed AI Impact Assessments
  • Certified attestation records
  • Scheduled governance health reports
  • Shadow-AI discovery decisions

Financial accountability

Governance should show what the AI costs and whether it delivers.

PulseAI connects the governed AI record to spend, use-case ownership, KPIs, and outcomes. Leadership can evaluate compliance effort, operational exposure, and business value in the same accountability layer.

01

AI spend

02

Use-case ownership

03

KPIs and outcomes

04

Risk and evidence

See your coverage

Start with the frameworks and operational risks that apply to you.

We will map your current AI estate, identify reusable governance inputs, and show where each supported framework still needs evidence or action.

See how PulseAI maps your AI estate across frameworks