Klarity
Within maps how work really happens and turns it into a Work Brain your AI agents can run on.
Within takes the fight event-log process mining can't win: the tribal knowledge in people's heads, not in system logs. The DoorDash and ServiceNow numbers (3,800+ processes in 14 weeks; 4,000+ variants in 9 days) are the kind of concrete outcome this category usually hides, and the Accenture tie-up puts it in front of enterprise transformation budgets. Go in knowing discovery depends on employees actually narrating their work through Companion and the AI Interviewer.
Last checked 5h ago · cite: rightaichoice.com/tools/klarity
- Finance leaders mapping close, O2C, AP, approvals, and controls as they really run
- Private equity operating partners chasing fast value creation across portfolio companies
- Post-merger integration teams comparing processes across business units before harmonizing
- CIOs and transformation leads who need agent-ready context before the AI roadmap can move
- Teams that need classic event-log process mining from SAP or Salesforce telemetry
- Small businesses with simple, stable processes that rarely change
- Organizations with no executive sponsor lined up to own a continuous discovery program
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Skip Within if you need event-log process mining from SAP or Salesforce telemetry, run simple stable processes, or can't commit an executive sponsor to a continuous discovery program.
Discovery is only as good as employee narration, so plan for internal time spent on Companion sessions, AI Interviewer interviews, and training before you see usable process data.
Within quotes pricing after a demo, so there is no published tier to compare against Celonis, Signavio, or UiPath Process Mining, all of which also sell enterprise contracts. Budget-wise this is a Fortune 500 and PE-portfolio purchase with an implied services component, not a departmental tool. Mid-market teams without an executive sponsor should expect the economics to be hard to justify against a lighter workflow-documentation tool.
In short
Klarity — Within maps how work really happens and turns it into a Work Brain your AI agents can run on. Best for Finance leaders mapping close, O2C, AP, approvals, and controls as they really run, Private equity operating partners chasing fast value creation across portfolio companies, Post-merger integration teams comparing processes across business units before harmonizing. Contact Sales pricing.
No head-to-head comparison for Klarity yet — the alternatives below are the closest matches we list.
What people actually say about Klarity — is it worth it?
We scanned public community sources for Klarity on Oct 11, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 3 of the posts we fetched could be positively tied to Klarity. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Klarity? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Companion observes work across any application, anonymized by design, no integrations required
- AI Interviewer captures tribal knowledge through structured conversations
- Context Graph structures activities, handoffs, approvals, and exceptions into a living work map
- Work Brain maps work done by both people and AI agents
- AI Advisor analyzes processes and flags bottlenecks with ROI projections
- Multi-level Process Index acts as a searchable operational digital twin
- Generates SOPs from recorded videos in minutes
- Side-by-side process comparison for M&A and post-merger integration
- Accepts uploaded videos and documentation as discovery inputs
- Discover, Define, Deliver motions for AI transformation programs
- Advisor agent with a prompt library for recurring analysis
- AI Chat for exploring process insights
- Signals detect process drift and best-practice anomalies over time
- Fine-grained access control and SSO configuration for enterprise workspaces
- Application-specific mapping for Finance, IT, GTM, HR, Operations, and PE operating partners
About Klarity
Within — formerly Klarity — is an enterprise platform for mapping how work actually happens inside an organization and structuring it into a Work Brain built on a living Context Graph. Rather than a static process diagram, you get a structured model of activities, handoffs, approvals, and the judgment calls and exceptions people navigate every day. The company is explicit that it observes work, not the worker. The platform runs on three motions. Discover uses Companion, which observes work across any application, anonymized by design and with no integrations required, alongside an AI Interviewer and uploaded videos or documentation. Define structures what it observes into a multi-level Process Index that stays current as people keep working. Deliver uses Advisor and AI Chat to flag bottlenecks and automation opportunities with ROI projections, generate SOPs from recorded videos, and compare processes side by side for M&A and post-merger integration. Within also states that the Work Brain maps work done by both people and AI agents, and that it builds dream teams of people and agents. It is aimed at Finance, IT, GTM, HR, operations, and private equity operating partners. The published proof points are concrete: DoorDash analyzed 3,800+ processes in 14 weeks into one view of accounting operations, and ServiceNow mapped 4,000+ process variants in 9 days. DoorDash CAO Jason Durham describes it as an AI business analyst that turns existing videos and documentation into months of work in weeks. Within now also advertises a partnership with Accenture aimed at enterprise AI transformation. Where it sits relative to alternatives: Within owns the human layer, the tribal knowledge and workarounds that never reach system telemetry. If your question is which steps fire in SAP and in what order, classic process mining still owns that. If the question is why close takes eleven days and who is compensating for a broken handoff, this is the tool built for it.
Behind the Verdict
The interesting claim inside Within isn't the AI. It's the source of the data. Most enterprise AI projects stall because the context an agent needs lives in people's heads and never hits a system of record. Within attacks that directly, and the three-motion structure — Discover, Define, Deliver — reads like a program plan rather than a feature list. We'd reach for this when the question is behavioral. Why does order-to-cash take eleven days when the system says four? Who is quietly compensating for a broken approval handoff? What did the person who just retired know that nobody wrote down? Event-log mining tools can't answer those because the answer never generated an event. Pass on it if your problem is sequencing inside SAP or Salesforce. Celonis and Signavio still own the telemetry layer, and Within isn't trying to replace that — its own framing positions the two as complements. In practice the bottleneck is participation, not software. Companion observes across applications with no integrations, and the AI Interviewer does the structured questioning, but employees still have to narrate work that may feel like self-auditing. The platform's anonymization and review model is built to answer that concern, and security reviewers will test it. The output side is where Within earns its keep: ROI-scored automation candidates, SOPs generated from recorded video, and side-by-side process comparison for post-merger integration. For PE operating partners working across portfolio companies, that comparison view is the one most likely to get used in week one. Timing note: the Accenture partnership is now on the homepage, which tells you where sales is pointed — enterprise transformation programs with a systems-integrator attached. Smaller teams without an executive sponsor
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Real-world workflow fit
Concrete scenarios for the personas Klarity actually fits — and what changes day-one when you adopt it.
Deploy Companion and the AI Interviewer across the accounting team to capture close, O2C, and AP work as it actually runs, then structure it into a multi-level Process Index.
Outcome: A single view of accounting operations covering thousands of processes in roughly 14 weeks, the DoorDash pattern, with rework and exceptions visible instead of buried.
Run discovery in two portfolio companies on the same taxonomy, then use side-by-side process comparison to see where the variants diverge before harmonizing.
Outcome: A defensible harmonization plan backed by observed process variants rather than interviews, plus a ranked list of automation opportunities with ROI projections.
Use Discover and Define to build the Context Graph, then run Advisor to shortlist agent-ready workflows and generate SOPs from recorded videos.
Outcome: Agent candidates chosen on evidence, with a living Process Index that stays current so the context doesn't rot after the first program ends.
Use Cases
- Map 3,800+ accounting workflows in 14 weeks into one view of accounting operations, as DoorDash did.
- Compress post-M&A integration by comparing process variants side by side before harmonizing.
- Capture and standardize SOPs from employee screen recordings, with examples citing under 15 minutes per workflow.
- Rank automation opportunities across finance, IT, and operations with ROI projections from Advisor.
- Surface and scale best practices from individual innovations across the organization.
- Keep a living Process Index current as workflows evolve so you don't re-commission the same audit.
- Turn retiring employees' tribal knowledge into documented workflow via the AI Interviewer.
- Answer 'where should AI actually go?' with evidence rather than a consulting deck.
Limitations
- Discovery depends on employee participation through screen recording (Companion), structured interviews, and uploaded materials, so results are shaped by how well work is narrated and documented.
- No AI model names are disclosed on the site.
- Anonymization is a design principle, so compliance audits requiring full-fidelity, non-anonymized observation data are out of scope.
- The documentation's own troubleshooting section covers run failures, corrupt uploads, 'No audio detected' errors, and Companion slowing down your machine, worth budgeting internal support time for.
- Pricing is arranged through a demo conversation rather than published tiers, so you cannot self-serve a budget estimate.
- The efficiency figures on the pricing page (87% faster onboarding versus a manual process audit, 1M+ actions logged daily) are vendor-reported.
as of 2026-10-18
Verification history
We have re-verified Klarity 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Klarity tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Enterprise
Contact sales
Ideal for
Fortune 500 finance, IT, HR, and operations organizations or PE portfolio teams with an executive sponsor ready to own a continuous discovery program.
What this tier adds
Starting and only listed tier: a scoped engagement arranged after a tailored demo, no self-serve checkout or published price.
Where the pricing makes sense
The company stage and team size where Klarity's pricing actually pencils out — and where peers do it cheaper.
Within quotes pricing after a demo, so there is no published tier to compare against Celonis, Signavio, or UiPath Process Mining, all of which also sell enterprise contracts. Budget-wise this is a Fortune 500 and PE-portfolio purchase with an implied services component, not a departmental tool. Mid-market teams without an executive sponsor should expect the economics to be hard to justify against a lighter workflow-documentation tool.
Setup time & first value
How long it actually takes to get something useful out of Klarity — broken out by persona, not the marketing-page minute.
Expect a guided rollout rather than self-serve: you book a demo, and Within's team responds within one business day. First value comes from Performer Training and running your first Companion session, then structuring the Process Index. DoorDash's 3,800+ processes in 14 weeks is the published enterprise benchmark; a single team's first mapped process is a much shorter path.
Switching to or from Klarity
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a manual process audit: upload existing videos and documentation, then use Companion and the AI Interviewer to fill the gaps the documents miss.
- →From a consulting-led process discovery engagement: rebuild the findings as a Process Index so the model stays current instead of aging into a slide deck.
- →From event-log process mining: run Within alongside it to capture the human layer, then combine both views when prioritizing automation.
- ↗To event-log process mining: export the Process Index structure and reconcile it against system telemetry before switching discovery to logs.
- ↗To a documentation tool: generated SOPs from recorded videos give you a starting library to carry into whatever system your team standardizes on.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Klarity”, and we withheld 6: 6 could not be judged, because “Klarity” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Klarity.
Official links
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