Platform vision

Enterprise risk intelligence for the AI era

AI Governance Hub is built as one platform with one risk-intelligence engine. AI governance is where we start — every future solution reuses the same discovery, assessment, reporting, and monitoring foundation.

What this page is: our product direction, stated plainly. Capabilities marked Available today are live and purchasable now. Capabilities marked Platform Roadmap are our stated direction — in design or development, never sold before they're real.

One engine, one pattern

Every solution on the platform follows the same governance pattern:

01

Discover

Identify AI systems and risk-relevant work from the tools and exports your teams already use.

02

Assess risk

Classify and score each item with transparent, rule-based methodology — no black boxes.

03

Recommend controls

Prioritized, framework-aligned recommendations your teams can act on.

04

Report to executives

Board-ready deliverables in HTML, PDF, Word, and PowerPoint.

05

Monitor continuously

Re-assess portfolios and track remediation over time — in Jira today, more tools to come.

Available today

AI Governance Assessment

Available today

Upload a Jira, Azure DevOps, Excel, or CSV export and receive an executive AI governance report — governance score, risk analysis, framework alignment, and a 30/60/90-day roadmap.

Start a free preview →

AI Governance Hub for Jira

Available today

Continuous AI governance inside Jira Cloud — discovery, risk registers, review workflows, and evidence capture. Runs on Atlassian Forge with no data egress.

Install from Atlassian Marketplace →

Executive Reporting

Available today

Multi-format executive deliverables aligned to ISO/IEC 42001 and NIST AI RMF, with visual analytics dashboards on Growth plans and above.

See a sample report →

Platform roadmap — industry risk modules

Teams in these industries use our source-agnostic AI governance assessment today — several with industry-adapted report framing. Purpose-built modules — same engine, industry-specific risk taxonomies and regulatory context — are the roadmap. Each solution page separates what works now from what's ahead.

Financial Services

Platform Roadmap

Governance for credit, fraud, AML, and trading AI — with regulatory context for RBI, SEBI, and global supervisors.

Explore this solution →

Healthcare

Platform Roadmap

Clinical AI inventories, patient-safety risk assessment, and HIPAA-aware governance reporting.

Explore this solution →

Insurance

Platform Roadmap

Underwriting, claims, and fraud AI governance with model risk documentation.

Explore this solution →

AI Logistics & Supply Chain

Platform Roadmap

Governed rerouting, capacity allocation and freight-exception automation with atomic limits, human approval, evidence and rollback.

Explore the logistics governance lab →

Manufacturing

Platform Roadmap

Factory AI, predictive maintenance, and quality-inspection AI under one governance register.

Explore this solution →

Government & Public Sector

Platform Roadmap

Citizen-facing AI accountability, procurement risk, and public-policy alignment.

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Technology & SaaS

Platform Roadmap

Product AI governance, third-party model risk, and customer-facing AI transparency.

Register interest →

Energy & Utilities

Platform Roadmap

Grid optimization, forecasting, and asset-monitoring AI with operational risk controls.

Explore this solution →

Retail & E-commerce

Platform Roadmap

Pricing, recommendation, and demand-forecasting AI governance with consumer-protection context.

Explore this solution →

Life Sciences

Platform Roadmap

Clinical-trial AI, lab automation, and regulatory-submission readiness.

Explore this solution →

Telecommunications

Platform Roadmap

Network AI, customer analytics, and service-assurance model governance.

Explore this solution →

Five platform pillars

Everything we build fits one of these pillars — and reuses the same core engine, security model, and reporting layer.

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