Every hop is a new trust boundary
A workflow that reads a ticket, queries a database, drafts a response, and sends it touches four systems, each needing its own policy check.
By usage
Multi-step automations, governed at every hop.
A workflow that reads a ticket, queries a database, drafts a response, and sends it touches four systems in one run. Each hop is a new trust boundary, and a failure at step one doesn't stay contained - it compounds through everything after it.
Why it matters
A chain is only as governed as its weakest hop
Failures compound across steps
An error or injected instruction at step one doesn't stay contained - it propagates and amplifies through every downstream action.
Ownership blurs across a chain
When five tools and two agents touch one business process, no single log tells you what actually happened.
What Lineation does
Policy and lineage for the whole chain, not one link
Map the full workflow graph
Every step, tool, and hand-off in a workflow is inventoried as a single traceable chain, not five disconnected logs.
Per-step policy enforcement
Each hop in the chain is policy-checked independently, so a compromised step can't silently escalate the next one.
Blast-radius containment
Sandboxing and scoped credentials mean a failure at one step doesn't cascade into unrelated systems.
End-to-end replayable trace
The full workflow run - every step, tool call, and decision - replays as one timeline for review.
How it works
Five steps to a governed workflow chain
Map the workflow
Every agent, tool, and system hand-off in the process is discovered and mapped as one chain.
Scope each step
Each hop gets its own identity and policy boundary, independent of the steps before and after it.
Enforce at every hop
Default-deny policy runs at each step, not just at the start of the workflow.
Contain failures
Sandboxing limits what a compromised or malfunctioning step can reach downstream.
Replay the full run
The entire workflow - every step in order - is reconstructable for review or audit.
FAQ
Common questions
What's an example of an agentic workflow?
Ticket triage that reads an inbound request, queries a CRM, drafts a response, and routes for approval - one business process built from several tool calls and hand-offs.
How is this different from governing a single agent?
A single agent's actions are governed in isolation; a workflow's steps are governed as a chain, so policy and lineage span the whole process.
What happens if one step in the chain is compromised?
Per-step scoping and sandboxing contain the blast radius, so a bad step can't automatically escalate access at the next one.
Can we see the whole workflow run as one trace?
Yes. Every step, tool call, and hand-off in a run reconstructs into a single replayable timeline.
Does this work across different orchestration frameworks?
Coverage isn't tied to one orchestration tool - governance operates beneath whatever framework runs the chain.
How is this different from the Agentic AI use case?
Agentic AI covers individual autonomous agents; Agentic Workflow covers the multi-step chains that connect several agents and tools into one business process.
Govern the whole chain, not just the first step.
Map your workflows and start enforcing policy hop by hop.