ClearWork turns your discovery dataset (documents + SME interviews + screen walkthroughs) into process maps that reflect reality—including handoffs, decision points, exceptions, and variations.
Because “we have a process map” shouldn’t mean “we drew something once.”
Traditional process mapping is usually a workshop, a whiteboard, and someone trying to translate tribal knowledge into a diagram. The result looks clean… right up until the real-world exceptions show up and the project slips.
Workshops capture a snapshot, not the full reality
The “happy path” gets mapped—exceptions get ignored
Handoffs and approvals get oversimplified
Maps become outdated immediately
Nobody can answer the hard question: “Where did this map come from?”
ClearWork doesn’t start with drawing. It starts with discovery. Then it turns that discovery into maps you can actually use.
ClearWork uses your project inputs to build a structured view of the workflow before generating a map. It ingests SOPs, notes, and recordings, then fills the gaps with AI-led interviews.
ClearWork uses the discovery dataset to produce process maps that represent how work actually happens—across people, systems, and scenarios.
The best process map is the one your team trusts. ClearWork makes validation practical by tying maps back to evidence and enabling lightweight collaboration. SMEs can review, comment, and suggest changes directly on the artifact.
ClearWork process maps are not “pretty pictures.” They’re structured operational truth you can use to scope work, drive alignment, and improve performance.
Shared view of process, clear handoffs, and surfaced decision points.
Process narratives, requirements, epics, user stories, and scope docs.
Bottlenecks highlighted, automation opportunities identified, and KPIs mapped.
Most mapping tools help you draw. ClearWork helps you prove. When someone asks “why is this step here?” you can point to the underlying discovery input that supports it.
If the process includes “it depends,” you want this.
Order-to-cash, procure-to-pay, record-to-report.
Lead routing, handoffs, and opportunity management.
Ticket triage flows and escalation matrices.
Escalation paths and resolution workflows.
Billing exceptions, expense approvals, and controls.
Employee lifecycle processes and system provisioning.
ClearWork can generate diagrams, but the key difference is where they come from: maps are generated from discovery evidence (docs + SME inputs), not manual drawing.
Swimlanes, process flow diagrams, handoff maps, and views that capture decision points and exceptions.
By capturing inputs across SMEs and scenarios, asking follow-up questions, and explicitly identifying exception paths during discovery.
SMEs review the maps and can comment or attach supporting evidence. Outputs are traceable back to source inputs, which makes validation faster and more objective.
ClearWork uses the same discovery dataset to generate requirements, epics/stories/tasks, documentation (SOPs/help guides), automation opportunities, and KPIs/value metrics.
Yes—maps can be reviewed on a cadence, updated through collaboration, and versioned so teams always know what’s current.
Start with discovery evidence. Generate maps automatically. Validate fast.
Then turn process truth into delivery-ready work and living documentation.