ClearWork ingests the knowledge you already have and interviews the people who do the work. They confirm what was captured, process owners sign it off, and you get process maps, SOPs and requirements with every line traced to who said it.
Workshops hear from the people who make it into the room. The exceptions, workarounds and handoffs that decide whether a change works live with everyone else, and they usually surface after go-live. Here's the same process, drawn both ways.
Clean, linear, and wrong in five places.
Every dotted line is real, load-bearing, and lives only in someone's head.
Nobody is hiding any of this. It just never came up.
The person who runs the exception does it so routinely they don't register it as unusual. The one who knows the real approval threshold wasn't in the room. And everyone describes the process as designed, because that's the version that sounds correct out loud. You find out in testing, at go-live, or when someone asks where a requirement came from and there's nothing to point at.
You can't retrieve your way to knowledge that was never recorded. Someone has to go and ask — and then keep the answer somewhere it survives.
The question isn't whether an AI could produce this.
It's who maintains it on Tuesday.
Correct something in ClearWork and it becomes a fact the system honors from then on. Every artifact built on it re-surfaces for review.
ClearWork is the platform. Clarity is the discovery-and-knowledge agent that works inside it — it reads what you already have, goes and asks the people who know, and builds a validated knowledge base your deliverables generate from.
Clarity, ClearWork's AI interviewer, works out what's missing from what you already have, then talks with everyone involved at the same time, by voice or chat, on their own schedule. Interviews that take weeks to arrange finish in days.
Documents, decks, SOPs, spreadsheets, transcripts and recordings. Many teams never use AI interviews at all — they run discovery as they always have and upload what comes out. That works completely.
Questions generated from the actual gaps, by role. Plus a narrated day-in-the-life recording — so the SME shows you the real workflow instead of describing it.
A conversation by voice or chat that follows up on ambiguity and asks the second question — whichever the SME prefers, on their schedule rather than yours.
Async interviews reach the people who'd never make the workshop. Whether your organization uses them depends on its culture — some teams use them constantly, others upload transcripts and never touch them. Both produce the same record.
Edge cases and workarounds surface before the build, not after go-live. When two people describe the same step differently, ClearWork flags it so it gets resolved. Nothing enters the record until a person confirms it: Clarity proposes, you approve, and process owners sign off by name.
37% of organizations name inaccurate requirements as the primary reason projects fail (PMI Pulse of the Profession, 2014).
Traceability tells you where a line came from — it doesn't tell you the extraction was right.
So the record shows its work. Every claim carries what Clarity pulled and how confident it is. Ambiguity gets flagged rather than resolved quietly. The gate is the answer, not the citation.
When someone questions a finding, you don't defend a judgment call. You show the source.
Every manual step, workaround and pain point is mapped by role, with volumes, so you can see where improvement and AI would free up capacity, and decide what to fix first.
ClearWork is the platform. Clarity is the AI agent that does the discovery work inside it. Pick the focus areas, Clarity interviews the people who do the work and takes in what you already have, people confirm what was captured, and process owners sign off. Then you get implementation-ready outputs, each line carrying the source behind it.
Role-based flows with handoffs, decision points, and the exception paths that only surfaced in interviews.
PRDs, user stories and requirements matrices — each item traced to the source that generated it.
Every line source-linked
Procedure documents drafted from how the work is actually done, not from a template you fill in.
Current-state reads and executive-ready narratives grounded in the validated knowledge base.
All data stored in AWS in the U.S. Encrypted in transit and at rest. Never used to train AI models, and never sold.
Up to 30 days. Most finish in two to four weeks, depending on scope and how quickly people complete their interviews.
About 20 minutes, by voice or chat, whenever suits them. They review what was captured before it's used. It isn't a performance evaluation.
Your team runs it in ClearWork, with our white-glove support. We help you scope it, set up the interviews and analyze the responses: about 3 hours of your team's time, plus about 20 minutes from each interviewee. ClearWork does the interviewing, capture and documentation, and your process owners sign off.
No. Process mining reads system logs. ClearWork captures how people actually do the work, including the steps that never touch a system, and gets it confirmed.
No. It gives them, and you, a validated starting point, so their time goes into designing the change.
Integrate every add-on from a signed-off baseline, with a fit-gap your ERP implementation partner can build from.
For private equitySigned-off current state and requirements before vendors build.
For transformation teamsConsultant, advisor or interim executive? See how partners work with us →
Bring one real process to the demo. We'll show you what comes out of it.