Govern your entire AI network in one place.

Understand, assess and monitor every AI system, what it depends on and what depends on it.

INPUTS / DEPENDENCIES
OUTPUTS / IMPACTS
SSharePoint
Internal data
GHGitHub
Internal systems
AI agents
Vendor models / APIs
AI System
AI NETWORK
Reports
Approvals
Other systems
Users
Decisions
Other AI agents
THE INFRASTRUCTURE

The governance platform for your AI network.

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 tour
WorkspaceWhat needs attention today
AI SYSTEMS14824 high risk
REVIEWS DUE073 overdue
OPEN ISSUES122 high severity
CHANGES184 awaiting approval

Your tasks

  • Review GENAI-018 Due today
  • Approve change CH-042 2 sign-offs left
  • Close finding F-182 Evidence added

Needs attention

  • Foundation model updated 12 dependent systems
  • Overdue periodic review Fraud Triage Model
  • Data quality breach Customer dataset
THE PROBLEM

AI systems don't operate in isolation.
Their risks don't either.

01

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.

02

Risk starts upstream

Data quality, model changes, knowledge sources and third-party services can change the behaviour and risk of AI without anyone touching the app itself.

03

Impact flows downstream

AI outputs increasingly feed systems, customers, workflows and other AI. When something changes or fails, consequences can travel far beyond the model.

DATA QUALITY ISSUEDataset changedCredit model affectedLending decisions exposedReview required
MODEL UPDATEFoundation model updated12 applications dependent2 high-risk systems affectedReassessment
VENDOR CHANGEThird-party service changed6 agents dependentEvidence may be staleImpact review
CONNECTED RISK

Know what changes.
Know what it affects.

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.

WHO IT'S FOR

Built for organisations of every scale.

01

Regulated Institutions

Govern AI where accountability, evidence and regulatory scrutiny are highest.

02

AI Companies

Build governance into the AI products, systems and agents you develop and ship.

03

Enterprises

Adopt and scale AI across teams without losing visibility, control or accountability.

OPERATING MODEL

Built around the three lines of defence.

Launchgard supports front-line ownership, second-line challenge and third-line assurance on the same governance record — so evidence, decisions and issues stay connected.

1LODOwners & delivery teamsRegister systems · manage changes · provide evidence
2LODRisk & complianceChallenge, review, approve and monitor ongoing risk
3LODInternal auditAssess operating effectiveness using the same records
BUILT BY PRACTITIONERS

Deep expertise.
Engineered into the product.

01

Risk Management

Frameworks, controls and regulatory expectations.

02

Model Risk Management

Lifecycle governance, validation, change and monitoring.

03

AI Development

Understanding of models, LLMs, agents and AI regulation.

04

Enterprise Technology

Workflows and infrastructure built for complex organisations.

SEE LAUNCHGARD IN YOUR ORGANISATION

Bring one AI use case.

See how Launchgard could structure the network, governance workflow, reviews, issues and ongoing oversight around it.