10 Best Klarity (Within) Alternatives & Competitors in 2026

TL;DR

• For enterprise operations teams handing repetitive SOP work to agents, Reflow is my top Klarity (Within) alternative, with step-level run data behind each automation choice and the return measured afterwards. Agents run from dedicated laptops and email addresses and hand a broken step to a person when they can't fix it themselves.

• Skan AI and Mimica are the closest observation-based matches: Skan pairs computer-vision capture with an AI roadmap and agents, while Mimica scores processes by ROI, automatability and ease of automation.

• KYP.ai suits shared-services and BPO operations and generates agent code for platforms like UiPath and ServiceNow. Soroco Scout maps the work of people and AI agents across large teams in what it calls a Work Graph.

• Celonis, UiPath and Microsoft Power Automate fit teams that want task mining tied to an existing process mining or automation platform.

• ActivTrak's Workflow plan adds task discovery and automation recommendations to workforce analytics. Scribe pairs free step-by-step guide capture with Scribe Optimize for opportunity ranking.

What are the best Klarity (Within) alternatives?

For operations teams that want agents doing their SOP work and run-level data to justify each one, Reflow is the best Klarity (Within) alternative in 2026.

Skan AI and Mimica follow as the nearest observation-based discovery platforms.

Here’s my full shortlist of vendors with their top use case and how work is captured from your team:

How did I pick these Klarity (Within) alternatives?

I prepared the lineup by evaluating these 3 factors:

• It must capture how people work: by observing desktop or browser activity, by mining interaction and system data, or both. Survey and interview-only tools didn't qualify.

• It must turn that capture into a decision: a ranked improvement or automation opportunity, an ROI estimate, or a process map tied to action.

• It must be available to buy: through a plan, trial or sales-led demo that a team can request today.

➡️ A note on scope: Process mining tools that work only from system event logs are covered in our Celonis alternatives guide.

#1: Reflow

Reflow is my top Klarity (Within) alternative in 2026 when enterprise operations teams want AI agents carrying out repetitive, SOP-defined work, with measured workflow data deciding which processes they take on.

As Reflow agents work on screen through computer use, platforms lacking an API or MCP server are in scope.

A team can also require the agent to pass the work to a reviewer before submission.

For any process, our workflow intelligence reports:

• Total runs over the period.

• Mean duration of a run.

• Mean deviation time per run.

• Hours per month that automating the process could free up.

Disclosure: Reflow is our product. This section argues for ranking it first and names what we leave to Klarity (Within).

A native app on Mac and Windows machines records operational work one step at a time, in order.

Machine learning labels what's captured, with no integration or engineering work involved.

💡 Reflow is built to study workflows and systems, with employee monitoring outside its purpose. By default, collection excludes personal content, while leadership can choose anonymized or aggregated reporting.

To be fair to Klarity (Within), its AI Interviews and file uploads collect knowledge that never appears on a screen.

Within MCP then puts that Work Brain in front of AI assistants. Reflow doesn't run interviews, so if your main goal is a searchable company brain for assistants, I'd say Klarity is the better fit.

We target white-collar work that a written SOP can describe and that a team performs anywhere from tens to thousands of times each month, such as data entry and form completion.

Let’s go over the five capabilities of why I rank Reflow first:

How Reflow picks which workflow to automate

The opportunity score for a workflow comes from runs Reflow has already captured, and the readout names the steps an agent would take on.

Take refund request processing in our sample data:

• Rated high, with an opportunity score of 72.

• 4,820 runs recorded.

• An average run length of 6 minutes 10 seconds.

• Deviation adding 1 minute 5 seconds per run on average.

• Potential savings of 87.1 hours a month.

Runs are compared with the SOP as they happen. A skipped or repeated step shows up as drift, as does a pattern hinting at compliance risk.

Time is also allocated to customers and projects, which lets finance set a cost per case against the cost of an agent.

Those numbers give an operations lead a case to take internally, or a reason to have our team build the automation without waiting on an engineering roadmap.

If you already have a task in mind, it's ideal to begin with a recording.

Fixed SOP steps with AI recovery and human escalation

Each Reflow agent runs robotic process automation (RPA) steps defined by the SOP, with AI held back for the moments a step breaks.

When that happens, the agent tries to repair the step on its own first. Failing that, it stops and asks a person for the fix.

The fix goes in immediately or after review, with the workflow revised for future runs.

The customer decides how much review stays in place. Where every submission needs approval, the agent prepares the case and flags it as ready, leaving the submit button to a person.

💡 In my experience, precision-first teams don't want an agent inventing its own route through a task. That's why the defined steps lead while AI covers failures.

An email address and laptop for each agent

Reflow gives each agent a dedicated email address and laptop. Customers govern its access like a team member's, revoking it on the spot when needed.

Skills come from the SOP of the team an agent belongs to. Payroll is a good example, where an agent can be asked to prepare an employer registration for a particular employee.

The agent comes back once that registration can be checked and submitted.

On-screen operation also reaches older systems with no API or MCP server, the kind engineering teams tend to find hardest to automate. Example tasks include:

• Getting a signed document to the IRS by fax.

• Assembling a government filing.

• Processing benefits in payroll and migrating payroll data.

• Writing first emails to new customers.

From task recording to live automation

The people who run a task start each Reflow automation, in four stages:

1. Two or three runs of the task by the people who do it, with each step and exception recorded.

2. A workflow built by our team from those recordings.

3. Internal testing on our side.

4. Joint testing with the customer's team before go-live.

Since the task expert sets how the task should run, the automation reflects the team's own way of working.

Guardrails and permissions are set per automation. We want operations teams to drive automation with little engineering or AI background.

Before-and-after numbers on one dataset

Reporting continues after launch, measuring an automation's return with the data that justified building it.

Here’s a refund example:

• Repeatable lookups, copy-paste and multi-system updates take 52% of the time in a Refund Requests SOP.

• This is why the platform would suggest automating "lookup + populate + update."

• Those steps would drop to 25 seconds, saving 1 minute 40 seconds per case while missed-field errors stop.

As capture is native to the desktop, software outside the browser shows up in the comparison without any manual time entry.

Workforce managers can also read headcount, working patterns and a breakdown of active, session and productive time from that data.

💡 Reflow encrypts data at rest and in transit and supports local data storage, with SOC 2 Type 2, HIPAA, GDPR and CPRA/CCPA compliance.

How is Reflow different from Klarity (Within)?

Reflow measures each workflow run step by step and builds agents that execute a team's SOP on their own laptops, while Klarity (Within) turns screen capture and interviews into a Work Brain that informs people and AI assistants.

And honestly? Klarity is well built for organization-wide AI transformation programs that start with mapping knowledge across functions, and we leave that broad discovery to it.

One integration-free dataset underpins all of Reflow, from workforce intelligence to workflow intelligence and automation.

Here’s how both process intelligence platforms compare head-to-head:

Reflow pricing

There's no public Reflow price list. You can start with a demo, and then, sized to your headcount and the processes you want included, you’ll get a quote.

💡 Our team configures the platform during white-glove onboarding, with minimal effort needed from yours.

Reflow pros and cons

✅ Each agent runs from its own laptop and email address, with access granted or pulled like an employee's.

✅ Reviewers can be placed wherever the customer chooses, up to approval of each submission.

✅ Step-level run data shows which processes justify an agent before one is built.

✅ Drift from the SOP is caught during the run.

✅ Older software with no API or MCP server is reachable through computer use.

✅ A recording of the task is the starting point, with no queue behind engineering.

✅ SOC 2 Type 2, HIPAA, GDPR and CPRA/CCPA compliance comes with configurable collection limits.

❌ Reflow doesn't run AI interviews or ingest documents. Knowledge that never appears on screen is better captured by Klarity (Within).

❌ Pricing isn't published.

#2: Skan AI

Best for: Large enterprises that want governed agents and an AI roadmap built from observed desktop work, with no system integrations.

Similar to: Mimica, KYP.ai.

Skan AI observes desktop work through computer vision and needs no integrations with the applications being watched.

Those observations become a context graph of work, which Skan's planning and agent products both draw on.

Skan AI capabilities

• Planning with Blueprint: proposed AI projects scored for readiness and financial impact, with ROI tracked afterwards.

• Analysis with Intelligence: discovery of processes, automation scoring and workforce productivity data, all from ongoing observation.

• Execution with Agents: agents that follow AOPs, Skan's machine-readable definitions of the steps, decision rules, escalation points and success measures for a task.

• Application reach: everything from office and web apps to mainframe terminals and VDI sessions.

• Engineering Intelligence: the same observation applied to software development teams.

What does Skan AI cost?

Skan AI is sold as an enterprise subscription through a demo, without prices on its site.

Skan AI strengths and limitations

✅ Coverage extends to mainframe and VDI sessions.

✅ AOPs spell out when an agent has to escalate.

✅ Agents and process analytics share one context graph.

❌ Costs aren't visible until Skan's team scopes the deal.

#3: Mimica

Best for: Automation and transformation teams that want a ranked pipeline of automation candidates from recorded desktop work.

Similar to: Skan AI, Soroco Scout.

Mimica is an AI task mining platform that records click and keystroke data on the desktop and categorizes it into detailed process maps.

Its Miner product scores each process for automation potential, giving teams an ordered list of where to start.

Mimica capabilities

• Mimica Mapper: process maps built by AI from clicks and keystrokes, with variation between team members distilled into one map.

• Mimica Miner: opportunity analysis that rates each process on ROI, automatability and ease of automation.

• Mimica Measure: analysis and prioritization of improvement and automation opportunities for an ongoing roadmap.

• Step metrics: time, cost, application used, frequency and automatability recorded for each step.

• Documentation and export: SOP generation and exports to process mapping tools and automation deployments.

• Agent context: process maps positioned as the context AI agents need to run enterprise workflows.

What does Mimica cost?

Mimica sells by subscription through its sales team without a public price list. 

Mimica strengths and limitations

✅ Mimica says it can deliver a transformation roadmap in as little as two weeks.

✅ Insights can be exported straight into automation projects.

✅ On-premise deployment is available for data-sensitive teams.

❌ Quotes depend on discovery scope, which makes early budgeting harder.

#4: Soroco Scout

Best for: Large operations teams that want a Work Graph of how people and AI agents work across teams, with changes simulated before rollout.

Similar to: Mimica, KYP.ai.

Soroco Scout builds a Work Graph from anonymized records of how people interact with systems across teams.

The platform positions Scout around how work runs in practice, exceptions and workarounds included, with agents working alongside people.

Soroco Scout capabilities

• Work Graph: a map of the friction affecting teams and business outcomes, built from clicks and keystrokes.

• Human and agent observation: visibility into workflows that combine people and AI agents.

• Task and process mining together: desktop interaction data combined with process mining, and the option to overlay SAP, ERP, CRM and log-mining data.

• Simulation: testing workflow changes before they're rolled out.

• Improvement outcomes: opportunities grouped as education, standardization, automation and compliance.

What does Soroco Scout cost?

Soroco sells Scout to enterprises by demo without public pricing.

Soroco Scout strengths and limitations

✅ Opt-in interaction data reduces manual setup for building the Work Graph.

✅ Outcomes cover training and standardization as well as automation.

✅ UK public sector buyers can source Scout licenses through a G-Cloud reseller.

❌ Buyers need a sales conversation to learn the price.

#5: KYP.ai

Best for: Shared-services and BPO operations that want real-time productivity data and agent code they can deploy on platforms they already run.

Similar to: Soroco Scout, Skan AI.

KYP.ai calls itself an agentic process intelligence platform, built on its Productivity 360 product.

It captures how work happens across the organization, then quantifies inefficiencies and generates agent code with business context attached.

KYP.ai capabilities

• 360 Enterprise View: real-time capture of desktop activity across functions, teams and geographies.

• Business Transformation Engine: quantified inefficiencies, calculated automation ROI and ranked opportunities.

• Agentic AI Enabler: agent code generated with business context built in, ready to run on UiPath, SAP Joule, n8n, Camunda or ServiceNow.

• KYP AI Concierge: natural-language questions about operational data.

• MCP Gateway: the process intelligence layer exposed to AI models through MCP.

• System connections: integrations with ERP, CRM, collaboration and productivity tools.

What does KYP.ai cost?

KYP.ai prices each engagement by scope without a public rate card.

KYP.ai strengths and limitations

✅ Agent code isn't tied to one execution platform.

✅ Operations leaders can query the data in natural language through the KYP AI Concierge.

✅ Packages can grow by business unit or market.

❌ Pricing depends on scope and needs a quote.

#6: Celonis

Best for: Enterprises that want desktop task mining joined to system-level process mining in one process intelligence platform.

Similar to: UiPath, Microsoft Power Automate.

Celonis builds a real-time digital twin of operations from system data, with Celonis Task Mining adding desktop activity to that picture.

Task Mining is a premium product on the Celonis Platform, and Celonis also sells a Workforce Productivity solution built on it.

Celonis capabilities

• Task Mining Client: a desktop application that records clicks, keyboard shortcuts and other actions in allowlisted applications, with an optional Chrome or Edge extension for more detail.

• Capture controls: allowlists and denylists for applications and URLs.

• Workforce Productivity: a Task Mining-based view of where team time goes across applications.

• Context Model: a system-agnostic model of the business used for root causes, predictions, recommendations and what-if scenarios.

• Data Core: a data layer that pulls from any source and handles queries across billions of records.

• Analyze, design, operate: process simulation, redesign with guardrails, and monitoring of adherence and agent activity.

What does Celonis cost?

Celonis prices paid plans through its sales team. 

Celonis strengths and limitations

✅ Desktop events can be read alongside data from ERPs and other systems of record.

✅ Workforce Productivity reports at department level.

✅ Celonis Academy includes free Task Mining training.

❌ Pricing is custom.

#7: UiPath Task Mining

Best for: Organizations already building UiPath robots and agents that want discovery to feed that pipeline directly.

Similar to: Microsoft Power Automate, Celonis.

UiPath Task Mining records desktop work and forms one half of UiPath Process Intelligence, alongside Process Mining for system event logs.

Findings move into UiPath automation and Maestro orchestration on the same platform, with no export step between discovery and build.

UiPath Task Mining capabilities

• Desktop recording: capture of the desktop work that system logs miss, with built-in PII redaction.

• Combined analysis: task data analyzed alongside event logs from SAP, Oracle, Salesforce, ServiceNow, Workday and hundreds of other systems.

• Opportunity ranking: automation candidates prioritized by estimated time and cost savings.

• Documentation: recorded processes turned into documentation and analysis.

• Ongoing monitoring: KPIs and process conformance tracked over time, with data from orchestrated work fed back into the analysis.

What does UiPath Task Mining cost?

UiPath places Task Mining on its Standard and Enterprise plans, both priced by sales, per its pricing page. If you already run UiPath robots, ask whether your current agreement covers Standard before buying anything new.

• Community ($0) and Basic (from $25 per month): automation plans that don't include Process Mining or Task Mining.

• Standard (sales quote; 60-day free trial): Task Mining and Process Mining, plus document and communications extraction, agents and orchestration, with no scale limits.

• Enterprise (sales quote): adds live process monitoring, process simulation and customer-managed encryption keys.

• User and robot licenses: bought separately where needed.

UiPath Task Mining strengths and limitations

✅ Discovery and automation share one platform.

✅ Standard can be tried free for 60 days.

✅ Customers can host it on their own premises from the Standard plan up.

❌ Pricing is not public.

#8: Microsoft Power Automate

Best for: Microsoft 365 organizations that want task mining and process mining inside the tool where they already build flows.

Similar to: UiPath Task Mining, Celonis.

Power Automate's task mining capability records user actions on the desktop and produces a process map and application analytics report from them.

The same product runs process mining on system data and can recommend flows, including which connectors to use, once a process is understood.

Power Automate capabilities

• Task mining: recorded desktop steps, captured alone or with colleagues, turned into process maps that show the longest activities and process variations.

• Application analytics: a report showing where teams spend most of their application time.

• Process mining: event data from templates, Azure Data Lake Storage or dataflows, reported in Power BI with a process map and variant DNA.

• Copilot in Process Mining: guided ingestion and natural-language insights.

• KPI triggers: Power BI connections that start downstream workflows when KPIs cross set thresholds.

What does Power Automate cost?

Microsoft bundles task and process mining into Power Automate Premium, according to its pricing page. I'd say Premium seats are enough for a task mining pilot, with the tenant add-on reserved for larger data volumes.

Your actual price is confirmed at checkout and can vary by region, according to Microsoft's own note.

• Free trial ($0 for 30 days): includes process and task mining.

• Power Automate Premium ($15 per user per month, paid yearly): task and process mining alongside cloud and attended desktop flows, with 50 MB of mining storage per license.

• Process Mining add-on ($5,000 per tenant per month, paid yearly): a tenant-wide 100 GB mining allowance, sold to Premium customers.

Power Automate strengths and limitations

✅ Task mining comes in the same Premium license as attended desktop flows.

✅ A 30-day trial includes task mining.

✅ Findings can turn into flows without leaving Power Automate.

❌ Each Premium license adds 50 MB of mining storage, so larger datasets usually call for the $5,000-a-month tenant add-on.

#9: ActivTrak

Best for: Workforce and operations leaders who want productivity analytics and AI-impact data, with task discovery and automation recommendations on the same platform.

Similar to: KYP.ai, Reflow.

ActivTrak is a workforce analytics platform that reports on productivity and AI impact from activity data its agent collects.

It also uses that same data for task discovery and ranked automation recommendations.

ActivTrak capabilities

• Activity agent: remote deployment by IT, with time tracked and activity classified automatically.

• Workflow insight: discovery of work patterns and tasks, AI and automation candidates, and before-and-after impact tracking.

• AI adoption: reporting on how AI tools are used, what they cost and how they affect productivity.

• Workforce management: attendance tracking, adherence to schedules, and checks on work-location policies.

• Data accuracy: detection of potential false activity and mouse jigglers.

• Integrations: Workday, ADP, ServiceNow, Salesforce and Slack, among others.

What does ActivTrak cost?

ActivTrak charges per worker per month on annual billing, with a free tier for three workers.

Paid plans run from $10 to $21, and several capabilities carry separate add-on charges.

• Free: $0 for up to 3 workers, with 30 days of data history and limited application functionality.

• Work Activity Tracking: $10 per worker per month. Automatic time tracking, real-time visibility, break time identification, attendance and schedule adherence, application and website usage, compliance alarms, and 6 months of history.

• Workforce Management: $15 per worker per month. Workforce utilization and financial loss reporting, productivity achievement against goals, schedule adherence exception reporting, offline meeting time tracking, work location policy validation, false activity detection, and Work Advisor, with 6 months of history.

• Productivity Optimization: $17 per worker per month. Organization productivity insights, utilization and workload balance, activity alignment, productivity by location, team benchmarks and goals, capacity and headcount planning, coaching opportunities, technology investment analysis, and 1 year of history.

• Workflow: $21 per worker per month, aimed at AI, operations, and transformation teams.

• Add-ons: AI Insights at $4 per worker per month, Screen Details at $2 per user per month, and Data History at $1 per worker per month, extending total history in one-year increments to a maximum of three years. ActivConnect, HRIS integration, and the MCP Server are add-ons that ActivTrak does not price on its public page.

ActivTrak strengths and limitations

✅ Attendance and schedule adherence come from the same agent data as the workflow insights.

✅ Mouse-jiggler detection helps validate activity data.

✅ A free plan covers up to three workers.

❌ Task discovery and automation recommendations belong to the top Workflow plan, at $21 per worker per month.

#10: Scribe

Best for: Teams that want step-by-step process guides captured automatically, with Scribe Optimize ranking improvement and automation opportunities from that workflow data.

Similar to: Mimica, Klarity (Within).

Scribe's Workflow AI platform starts with Scribe Capture, which turns a recorded workflow into a step-by-step guide with screenshots.

Scribe Optimize, launched in late 2025, passively mines how teams work and returns a prioritized list of improvement opportunities within days.

Scribe capabilities

• Guide capture: step-by-step guides generated from browser workflows, with desktop capture available on paid seats.

• Guide editing: screenshot editing and redaction, custom branding, and exports to PDF, HTML and Markdown.

• Scribe Optimize recommendations: opportunities ranked by effort, impact and frequency across teams and tools.

• Optimize agent: a personal AI agent that answers questions about how work happens and can draw a process map for any workflow.

• Improvement projects: projects built around a chosen workflow, with AI as part of the proposed fix.

• Agent skills: an MCP integration with Claude that customers have used to generate agent skills from workflows Optimize surfaced.

What does Scribe cost?

Scribe publishes per-seat prices for its capture plans, while Scribe Optimize and Enterprise are sold through a demo.

I'd let the team that owns the process try Basic first, then book an Optimize demo once guides are in use.

• Basic ($0): browser-based capture and guide creation.

• Pro Personal ($25 per seat per month billed annually, $35 monthly): desktop and mobile capture, custom branding, screenshot redaction and PDF, HTML and Markdown exports, from one seat.

• Pro Team ($13 per seat per month billed annually, $17 monthly): everything in Pro Personal plus collaboration comments, with a five-seat minimum.

• Enterprise and Scribe Optimize (quote): Enterprise covers SSO, roles, auto-redaction and version history, and Scribe Optimize, which handles workflow mining and recommendations, is also sold through a demo.

Scribe strengths and limitations

✅ The free Basic plan lets anyone start documenting browser workflows.

✅ Optimize ranks opportunities on effort and frequency as well as impact.

✅ Guides double as documentation and as context for agent skills.

❌ Pro Team's lower rate needs at least five seats.

Which Klarity (Within) alternative should you choose?

I'd choose based on what has to happen after discovery, whether that's agents running the work, a ranked automation backlog, analytics for leaders or documentation for staff.

Here’s how I see it based on where your priorities are:

I’d say that Reflow is the right call for operations leaders whose teams run one SOP at high volume and who want an agent's payback shown before it's built and measured after it goes live.

Test Reflow against Klarity (Within)

You can test Reflow on one repetitive workflow for a few days, then compare its run-level readout with the discovery output you already have.

Here’s the deal:

1. Pick a high-volume, computer-based workflow, for example, subscription cancellations or chargeback dispute triage.

2. Our team sets Reflow up, then the Mac and Windows agent starts capturing the workflow with nothing to integrate.

3. Check the opportunities Klarity (Within) has surfaced against Reflow's readout for the same workflow.

4. If the case holds, the people who do the task record it two or three times. We then build and test an agent together and report its return after launch.

➡️ Request a demo to see where your own workflows rank. Collective's result, $3.1M in annual cost savings, is in our case study.

⚠️ Disclaimer: Product details and prices in this article were checked on November 2, 2026. Tell us if anything has changed, and we'll update it.

FAQs

Is Klarity the same as Within?

Yes. Klarity renamed itself Within in 2026, with klarity.ai and app.klarity.ai now redirecting to within.ai and app.within.ai.

The product is the same Work Brain platform for AI transformation, now organized around Discover, Define and Deliver.

Which Klarity (Within) alternative builds and runs agents?

Reflow builds agents to a team's SOP and runs them from dedicated laptops and email addresses, with people reviewing as much of the work as the customer chooses.

Skan AI deploys agents governed by Agentic Operating Procedures, while KYP.ai generates agent code for platforms such as UiPath and ServiceNow.

UiPath and Power Automate run automations on their own platforms. Our Grok Bot alternatives guide covers general-purpose AI agents as well.

Which Klarity (Within) alternative has published pricing?

Microsoft Power Automate, ActivTrak and Scribe publish prices, starting at $15 per user a month for Power Automate Premium, $10 per worker a month for ActivTrak's paid plans and $13 per seat a month for Scribe Pro Team, all billed annually.

ActivTrak and Scribe also have free plans. Reflow, Skan AI, Mimica, Soroco Scout, KYP.ai, Celonis and UiPath's Standard plan are quoted.

Is there a Klarity (Within) alternative for HIPAA-regulated teams?

Reflow lists HIPAA among its compliance standards, alongside SOC 2 Type 2, GDPR and CPRA/CCPA.

ActivTrak also lists HIPAA. Teams considering other tools should confirm HIPAA coverage directly with each vendor.

How is Klarity (Within) different from process mining tools like Celonis?

Klarity (Within) captures work by observing screens and interviewing staff, while Celonis builds its model mainly from data extracted out of ERPs and other systems, with Task Mining as an added license.

Does Reflow work without integrations?

Yes. Reflow captures work through a native Mac and Windows agent, so no integrations or engineering resources are needed to start.

Its agents also reach older systems without an API or MCP server through computer use.