FAQ · The PIES Difference

How does PIES support enterprises in developing intelligent agentic workflows?

Q: How does PIES support enterprises in developing intelligent agentic workflows?

PIES approaches this at three levels: - Building apps – AI-assisted generation, governed by policy, accelerates the creation of workflow applications. - Running agents – every deployed app has an auto-generated MCP server. Agents can call any function, query any data model, and trigger any workflow, inheriting the app’s RBAC so agents only do what the user could do. - Embedding AI – each application ships with its own in-app AI tuned to that domain, routing through the same governance layer. The governance layer is the linchpin every agent call is policy-routed, optionally redacted, and fully audited.

PIES approaches this at three levels:

Building apps – AI-assisted generation, governed by policy, accelerates the creation of workflow applications.
Running agents – every deployed app has an auto-generated MCP server. Agents can call any function, query any data model, and trigger any workflow, inheriting the app’s RBAC so agents only do what the user could do.
Embedding AI – each application ships with its own in-app AI tuned to that domain, routing through the same governance layer.

The governance layer is the linchpin every agent call is policy-routed, optionally redacted, and fully audited.

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