See how critical assets are governed across your organisation and identify where attention is required. Launchgard connects assets, requirements, controls and dependencies to create a continuous view of enterprise governance.
Organisations increasingly depend on AI, models, data and technology, but governance is often spread across different teams, frameworks and systems. Launchgard creates a single view of whether critical assets are being governed as expected.
AI, model, data and technology inventories are often maintained separately.
Teams spend significant effort checking obligations, reviews, controls and evidence.
Launchgard applies a common governance intelligence model while allowing each asset type to retain its own standards, lifecycle and controls.
Inventory, classification, controls, testing, approvals, monitoring and issues.
Lifecycle status, validation, monitoring, documentation and governance requirements.
Critical data assets, ownership, quality, lineage, controls and dependencies.
Critical applications, systems, technology assets, ownership and resilience controls.
Build a consistent view of ownership, business use, classification and lifecycle status.
Define the governance expectations that apply to each asset based on risk and materiality.
Map policies, standards and regulatory requirements to the assets they govern.
Continuously assess whether expected reviews, approvals and controls are being completed.
Connect AI, models, data and technology to understand downstream impact.
Surface missing controls, overdue reviews, exceptions and unresolved governance gaps.
Maintain a trusted view of critical assets and accountable owners.
Apply the right controls, lifecycle requirements and obligations.
Track evidence, reviews, controls, approvals and exceptions continuously.
Direct attention to the governance gaps with the greatest significance.
A governance problem rarely exists in isolation. Launchgard maps relationships so teams can see the potential impact of an issue across the organisation.
An AI system can depend on a model, that model can depend on critical data, and that data can depend on technology infrastructure. Launchgard makes those relationships visible.
Understand governance health across critical enterprise assets.
Maintain oversight of AI inventory, risk classification, controls and issues.
Monitor model lifecycle, validation, documentation, monitoring and change.
See ownership, quality, criticality, controls and dependencies.
Monitor governance across critical systems, applications and infrastructure.
See where governance requirements are not being met and why.