Klarity
Maps how your people work so AI agents can work alongside them.
Within is a strong bet for enterprises that need to convert tribal knowledge into AI-ready context—it delivers in weeks, not months, and keeps itself current. But it's not a replacement for event-log process mining, and the contact-only pricing plus enterprise positioning makes it wrong for small teams. We'd reach for it over consulting when you want to own the intelligence long-term.
Verified 10d ago · liveness 38/100 · cite: rightaichoice.com/tools/klarity
- Finance leaders mapping record-to-report, order-to-cash, and procure-to-pay processes
- Private equity operating partners seeking rapid value creation in portfolio companies
- Post-merger integration teams analyzing process differences across business units
- IT and operations teams modernizing architecture and platform deployments
- Organizations with no executive buy-in for continuous process improvement
- Teams needing deep process mining with event logs from systems like SAP or Salesforce
- Small businesses with very simple, stable processes that don't change often
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Skip Within if you need event-log-based process mining (e.g., from SAP or Salesforce), if you're a small business seeking a low-cost DIY tool, or if you lack executive buy-in for continuous improvement—it's an enterprise platform with contact-only pricing and no free trial.
Pricing is contact-based, so you'll need to schedule a demo to get a quote—expect a significant investment for mid-to-large enterprises.
Within's pricing is contact-based and enterprise-focused, so it fits large organizations with transformation budgets. Compared to event-log mining tools like Celonis (also enterprise-priced), Within offers a faster, human-layer discovery approach, but it's not a budget option. For small teams or self-service buyers, cheaper alternatives like Process Street or Tallyfy might be more appropriate.
In short
Klarity — Maps how your people work so AI agents can work alongside them. Best for Finance leaders mapping record-to-report, order-to-cash, and procure-to-pay processes, Private equity operating partners seeking rapid value creation in portfolio companies, Post-merger integration teams analyzing process differences across business units. Contact Sales pricing.
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: September 2026
How we score →Key Features
- AI Companion records screen activity to discover process workflows
- AI Interviewer captures tribal knowledge via structured conversations
- AI Advisor identifies bottlenecks and automation opportunities with ROI projections
- Signals detect process drift and best-practice anomalies
- Process Index creates searchable, role-aware process maps
- Context Graph structures discovery data into a living map of handoffs and approvals
- Generates SOPs from recorded videos in minutes
- Side-by-side process comparison for M&A integration
- Accepts file uploads for existing documentation
- Executive Advisor provides prioritized improvement roadmap
- Multi-level Process Index acts as operational digital twin
- ROI projections by quarter for AI agents, automation, and integration
- Zero data retention and single-tenant options
- SSO and fine-grained access control
- AI Chat for process queries
About Klarity
Within (formerly Klarity) is an enterprise platform that maps how work actually happens—capturing the judgment calls, exceptions, and workarounds your people navigate—then turns that knowledge into context AI agents and automation can act on. Instead of a one-time consulting audit, it builds a living Company Brain: a Context Graph of every activity, handoff, and approval, kept current as work evolves. Finance, IT, GTM, HR, and operations teams in large enterprises use it to find agent-ready workflows and prove which transformation initiatives deliver the most value. Discovery is anonymized by design and needs no system integrations—it observes work across any application, building a structure of how people really operate. The platform's core capabilities include a living Context Graph that structures tribal knowledge into a searchable, role-aware map; process maps that surface rework, exceptions, and bottlenecks; and an AI Advisor that suggests improvements with ROI projections. Signals detect process drift and anomalies, so recommendations stay fresh. Recent partnerships—with Cognida.ai for process intelligence in enterprise AI and Forvis Mazars for finance transformation—extend its reach into AI transformation programs. Where it differs from event-log process mining: it doesn't rely on system logs from SAP or Salesforce. It captures the human layer that logs miss—the how and why behind the steps. DoorDash used it to turn employee knowledge into actionable context, mapping 3,800+ processes in 14 weeks; ServiceNow mapped 4,000+ process variants in 9 days. For buyers weighing Celonis-style mining versus consulting, Within offers a middle path: continuous, AI-driven discovery that compounds over time, owned by the enterprise itself. Pricing is contact-based, with no public tiers and no free trial—a signal that it's built for mid-to-large enterprises with transformation budgets. It's a strategic platform, not a self-service tool.
Behind the Verdict
Within (formerly Klarity) solves a real problem: the tribal knowledge that lives in your employees' heads and screens. Instead of forcing you to wire up complex event logs, it watches how work actually happens—via screen recording and structured interviews—and builds a living Context Graph. That's a fundamentally different approach from Celonis or Signavio, which rely on system logs and miss the human layer. The results are compelling: DoorDash mapped 3,800+ processes in 14 weeks, ServiceNow mapped 4,000+ variants in 9 days. Those are real, public wins. The strengths are clear. First, the 'no integrations' discovery is a huge plus—it works across any application, even legacy systems without APIs. Second, the platform is built to keep itself current: Signals detect drift, so the map doesn't go stale. Third, it's designed for action: the AI Advisor prioritizes improvements with ROI projections, and you can generate SOPs from recorded videos in minutes. That's a practical, day-one value. But there are real limitations. It's not a replacement for event-log process mining if you need deep system-level analysis. And the contact-only pricing, no free trial, and enterprise focus mean it's not for small teams or self-service buyers. The 'built to discover work, not workers' promise is nice, but you'll still need serious change management to get employees comfortable with screen recording. Where does it fit? Finance transformation (close, O2C, AP), IT operations, GTM process optimization, HR onboarding, and PE value creation. It's a strategic platform, not a tactical tool. If you're a large enterprise with a transformation mandate and a budget, Within is worth a serious look. If you're a small business with simple processes, look elsewhere—maybe a lightweight BPM tool or a spreadsheet.
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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.
Capture the current state of order-to-cash processes using Companion screen recording and AI Interviewer, then use AI Advisor to identify automation opportunities with ROI.
Outcome: You get a complete, validated process map in weeks, with prioritized action items that prove value to stakeholders.
Use Within to analyze processes across a newly acquired business unit, comparing side-by-side with a portfolio company to identify integration synergies.
Outcome: You compress post-M&A integration from months to weeks, with a clear playbook for standardizing operations.
Deploy Within to discover how work happens across legacy systems, then use the Process Index to plan a platform migration.
Outcome: You get a living digital twin of your operations, enabling you to rationalize systems and modernize architecture with confidence.
Use Cases
- Map 3,800+ accounting workflows in 14 weeks to reduce onboarding time by 2-3x.
- Compress post-M&A integration from 24 weeks to 3 weeks by analyzing 28 business units.
- Capture and standardize SOPs from employee screen recordings in under 15 minutes.
- Identify automation opportunities across finance, IT, and operations with ROI-ranked recommendations.
- Surface and scale best practices from individual innovations across the organization.
- Enable continuous improvement with a living process index that updates as workflows evolve.
Limitations
- The platform offers process discovery through screen recording and structured interviews, relying on employee participation and narration.
- Onboarding and onboarding-related details are not fully disclosed, with pricing only available through a tailored demo session.
- The platform is enterprise-focused and does not offer a self-serve free trial.
- Additionally, it does not natively integrate with event-log sources like SAP or Salesforce, limiting its use for system-level process mining.
as of 2026-08-28
Verification history
We have re-verified Klarity 17 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
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- — 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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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's pricing is contact-based and enterprise-focused, so it fits large organizations with transformation budgets. Compared to event-log mining tools like Celonis (also enterprise-priced), Within offers a faster, human-layer discovery approach, but it's not a budget option. For small teams or self-service buyers, cheaper alternatives like Process Street or Tallyfy might be more appropriate.
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.
Within's onboarding is tailored: after a demo, you can start Companion sessions within days. Full deployment with training and initial process maps typically takes 2-4 weeks for a pilot team, scaling to enterprise-wide in a quarter. The vendor promises quick time-to-value, with case studies showing full accounting mapping in 14 weeks.
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 Manual audit: Replace a one-time consulting audit with continuous AI-driven discovery; export existing process maps or SOPs and upload them to get started.
- →From Spreadsheet-based process mapping: Upload your existing documentation and use AI Interviewer to fill gaps, then structure it into a live Process Index.
- ↗To Celonis or event-log mining: You can export your process maps and use them as a reference, but you'll need to integrate system logs separately.
- ↗To a lower-cost BPM tool: Export your Process Index data to a common format (e.g., CSV) to transfer process steps and SOPs.
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