Solutions
Agentic infrastructure
Design the foundation connecting agents, tools, data and enterprise systems.
A practical path
Turn an incoming request into a scoped work order with an owner and a measurable completion condition.
Separate plan review from execution. Bind the approved revision to the tools and resources the runtime may use.
Verify the result against the original condition and preserve a decision and execution record. Define recovery before making a change.
Before implementation
Reference architecture, not a customer case study. Product availability, integration versions, data boundary and success criteria are agreed for each deployment.
What to verify
- A named owner and an explicit permission boundary
- A reproducible success and failure scenario
- An inspectable outcome, with recovery and support ownership
Products in this solution
Enterprise agent orchestration
Pyrodit Agentic Runtime
Durable execution for AI agents: preserve progress through interruptions, wait for human decisions and coordinate long-running work across your systems.
AI runtime security
Pyrodit Guard
Define which AI requests and tool actions are allowed, which need review and how sensitive data should be handled.
