AInvent
A marketplace of approved AI agents that reason, connect to your systems, and finish the task — not just describe how to.
Yesterday'sAIchattedandresponded.AInventisbuiltforwhatcomesnext:agentsthatreason,connect,act,andexecute—withthegovernanceanenterpriseactuallyneedsbeforeithandsoveraccess.
Core capabilities and focus areas.
From answers to execution
AInvent agents validate context, use secure connectors, and complete defined business actions — parsing triggers, checking permissions, and executing, not just replying.
An approved catalog, not a free-for-all
You shouldn't have to vet every experimental agent from scratch. AInvent organizes agents by use case, approval standard, and expected outcome, so a team can adopt one with confidence.
Access without exposed credentials
Agents get powerful once they can reach real systems — so that power needs a boundary. Every tool call routes through governed MCP connectors instead of handing an AI model raw database access.
A real economy for builders
Developers publish production-grade agents and earn from actual usage, not demo traffic. The incentive is to build something narrow and reliable, not another generic assistant.
From pilot to production
The same agent logic can run a private pilot, a departmental rollout, or a public catalog listing — and can plug straight into WorkTeams.ai or a live KLIPPS journey.
Governance is the product
AInvent isn't just a storefront — it's the control layer for agent behavior, versioning, review, and access. That's what makes it infrastructure a business can actually rely on.
From intent to outcome
A simple path from first signal to useful action.
MCP connectors
Approved agents
Workflow execution
KLIPPS action
The result
What becomes possible.
Automation that actually finishes tasks
No raw credentials handed to a model
A marketplace builders want to publish to
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