ClearWork maps real workflows, exceptions, and handoffs using AI-led discovery—then turns it into machine-readable requirements and delivery-ready artifacts so your agents launch with context, guardrails, and clarity.
Most agent pilots look great in a sandbox. Production is different: messy workflows, edge cases, unclear permissions, and “wait… who approves this?” moments.
Missing context
The agent doesn’t know how work actually happens across teams.
No exception handling
Real work is full of edge cases and workarounds.
Undefined handoffs
The “agent vs human” boundary is fuzzy until something breaks.
Unclear action space
Agents need tightly scoped tools and permissions to reduce risk.
Hard to measure readiness
Without eval criteria and tracing, you can’t confidently launch.
"If your agent needs tribal knowledge to succeed… it’s not 'agent-ready' yet."
ClearWork dashboard showing generated artifacts & collaboration capabilities
Assign AI-led interviews to the people who do the work. Collect text, voice, and screen walkthroughs. Upload SOPs, tickets, and docs. ClearWork turns scattered inputs into a structured view of the workflow—across roles, systems, and variations.
ClearWork maps the workflow with the details agents need: decision points, edge cases, and where a human should review or approve. This is where you draw the line between agent actions and human oversight.
ClearWork converts discovery into structured outputs your teams can build and test: machine-readable requirements, task lists, artifacts, and documentation—ready to export into delivery workflows and use as the foundation for evaluation and monitoring plans.
This is the stuff teams scramble to create after a pilot breaks. ClearWork helps you generate it up front—grounded in real inputs.
How work actually happens, including variations.
Where the workflow branches and why.
Where humans review, approve, or take over.
Structured requirements your builders can implement.
What the agent does, doesn’t do, and escalation rules.
Scenarios that represent real process variations.
Draft guardrails aligned to the workflow’s risk points.
Living docs: SOPs, diagrams, and narratives.
What’s unclear, missing, or disputed—flagged early.
Who confirmed what (and where input conflicts exist).
ClearWork doesn’t create “agent plans” from assumptions. Every requirement, decision point, and workflow step can be traced back to source inputs—interview answers, screen walkthroughs, or uploaded documents—so teams can validate scope and reduce risk before deployment.
Enterprise teams are building governance around agents: approvals, scoped permissions, human review checkpoints, and auditability. ClearWork gives you the process truth needed to put those controls in the right places—before you deploy.
Define where the agent can act, which tools it can use, and what requires escalation.
Identify the exact steps where a human should review, approve, or override.
Document what access is required for each step so security can enforce least privilege.
Create a shared checklist for “ready to launch” based on workflow scenarios.
ClearWork turns discovery into structured outputs your builders can actually use. Export epics, stories, and tasks into Jira, and keep supporting artifacts connected to the same project context.
If the workflow has handoffs, exceptions, and approvals… it needs process truth before automation.
Define escalation rules and exception handling
Scope actions, approvals, and safe tool usage
Approvals, controls, and auditability
Handoffs across teams and systems
Decision points and policy-aligned actions
Sensitive steps with clear human review points
No. ClearWork is the discovery + process intelligence layer that prepares workflows and requirements so agents can be deployed safely and successfully.
Because production workflows include exceptions, handoffs, approvals, and constraints that aren’t captured in a demo.
It means you have mapped real workflows, defined decision points and exceptions, and translated them into structured requirements with clear human/agent boundaries.
Text, voice, screen walkthroughs, and uploaded docs (SOPs, slides, PDFs, and more).
Workflow maps, decision points, handoffs, machine-readable requirements, and delivery-ready artifacts.
ClearWork helps you identify scope boundaries, HITL checkpoints, and least-privilege requirements based on the real process.
You can start in days because you can begin with interviews and documents before deep integrations.
Yes—export epics, stories, and tasks to your delivery workflow.
No. Data sent to third-party AI providers is NOT used for model training. We enforce zero client-side AI API exposure and complete encryption.
Start with process truth. Then build with guardrails.
Book a demo and we’ll map how ClearWork fits your next agent deployment.