You can't see the whole network
Most inventories tell you which AI systems exist, not how they connect to data, vendors, business processes and downstream decisions.
Understand, assess and monitor every AI system, what it depends on and what depends on it.
Launchgard gives product, risk, compliance and AI teams one operating workspace to manage the network, govern lifecycle changes, run reviews, monitor issues and answer questions across the AI estate.
See the platform tourMost inventories tell you which AI systems exist, not how they connect to data, vendors, business processes and downstream decisions.
Data quality, model changes, knowledge sources and third-party services can change the behaviour and risk of AI without anyone touching the app itself.
AI outputs increasingly feed systems, customers, workflows and other AI. When something changes or fails, consequences can travel far beyond the model.
Launchgard maps the network and uses it operationally. When a dataset, model, vendor or control changes, teams can see what may be affected and where governance action is required.
Govern AI where accountability, evidence and regulatory scrutiny are highest.
Build governance into the AI products, systems and agents you develop and ship.
Adopt and scale AI across teams without losing visibility, control or accountability.
Launchgard supports front-line ownership, second-line challenge and third-line assurance on the same governance record — so evidence, decisions and issues stay connected.
Frameworks, controls and regulatory expectations.
Lifecycle governance, validation, change and monitoring.
Understanding of models, LLMs, agents and AI regulation.
Workflows and infrastructure built for complex organisations.
See how Launchgard could structure the network, governance workflow, reviews, issues and ongoing oversight around it.