AI Orchestration Platform
A control plane for coordinating multiple AI agents and models across a single workflow, so teams compose automations instead of wiring one-off integrations.
A coordination layer that turns a scatter of separate AI models and agents into one observable system.
The problem it solves
Most teams adopting AI end up with disconnected models and scripts running as isolated experiments — with no single place to route work between them or see what ran and why.
What it does
The AI Orchestration Platform is the layer that coordinates them: routing work between agents and models, with the observability to see what ran and why. It is built for teams running more than one AI model or agent who need them to work together as a system, not as isolated experiments.
How we build it
Like every Lazlo system, it starts with a written architecture document, reviewed with stakeholders before a line of code is written. The AI is designed into the data model rather than bolted on afterwards; tenant isolation and security are part of the initial design; and the product is built in reviewable stages by one accountable team.
Where it stands
This product is in Beta and under active development. We can show it working in a live walkthrough — the real product, not a mockup. Named references and measurable outcomes will be published here only once they are real and verifiable.