Process Mapping With ClearWork

UiPath Alternative — ClearWork- Built for AI-age speed, visibility, and adoption (days, not months)

Avery Brooks
September 2, 2025

TL;DR

If you need fast, credible visibility into how work actually happens across your web apps—and you want to turn that into automatic process mapping, task insights, and AI-ready, to-be designsClearWork is the better fit. ClearWork captures UI-level activity in the browser, so you can start learning in days and guide agentic orchestration and adoption right where users work.

UiPath is a powerful automation platform with Process Mining (event-log based), Task Mining (desktop capture), Document Understanding/AI Center, Autopilot, Clipboard AI, and Integration Service connectors. That depth shines for enterprise automation at scale—but initial value often depends on connecting sources and shaping event-log data models first, which takes more setup. UIPath is also not well designed for the flexibility required to deploy modern AI solutions.

What UiPath does well

  • End-to-end automation stack. UiPath combines RPA, Process Mining, Task Mining, Document Understanding/AI Center, and connectors in one platform. Integration Service provides standardized auth and a growing connector library.
  • Process Mining on event logs. UiPath formalizes a data model (e.g., Cases, Event_log, Tags, Due_dates) and guides you to design an event log (case ID, activities, timestamps). That provides governed, system-of-record analytics once models are in place.
  • Task/desktop capture. Task Mining records user actions on desktops to surface automation opportunities and variants.

Trade-off: Process Mining usually requires connecting sources and preparing event logs/data models before analysis—that’s normal for log-centric mining and can extend time-to-first-insight depending on scope and data access. UiPath’s own docs spell out these steps.

How ClearWork is different (and why it matters now)

  • UI-first capture = speed. ClearWork starts at the browser/UI layer, observing page context, actions, and dwell time across your SaaS apps—so you get automatic as-is process maps and task flows in days, without waiting on ERP/CRM data pipelines.
  • Cross-app reality. Modern work spans Salesforce, ServiceNow, web CPQ, billing portals, and internal tools. ClearWork stitches cross-app journeys immediately—where classic mining often starts per system.
  • AI-ready future-state design. Move from as-is insights to BPMN-style to-be blueprints and in-browser guidance to drive adoption and agent orchestration (human + agent handoffs).
  • Add systems later, not first. You can incrementally enrich with system data. ClearWork doesn’t block deep mining; it front-loads value to prioritize where to invest heavier integrations.
ClearWork vs UiPath — Key Differences
Area ClearWork UiPath
Starting point UI-level capture in the browser (SaaS apps) for immediate “as-is” visibility. System-level first: connectors → event-log/data model → analysis.
Time to first insight Days (pilot-scale mapping and task insights). Depends on scoping, data access, and model preparation.
Best fit SaaS-heavy, cross-app journeys, change planning, AI/agent orchestration visibility. Enterprise automation platform with deep mining, Document Understanding / AI Center, and broad connectors.
Process modeling Auto as-is maps + to-be blueprints (BPMN-style); adoption guidance in the browser. Case-centric Process Mining on event logs; Task Mining for desktop actions.
AI posture Designed to measure and guide human↔agent work in-flow. Autopilot, Document Understanding / AI Center, Communications Mining, Clipboard AI across the stack.
How they combine Use ClearWork for fast discovery & adoption; add mining later where needed. Use UiPath when you want governed, model-driven analytics and full RPA at scale.

Why ClearWork is a better alternative right now (AI era priorities)

  1. Speed to truth, then to AI. Teams need weeks-not-months feedback loops to decide where AI/agents help or hurt. ClearWork’s UI-first capture accelerates problem discovery and prioritization before heavier build phases.
  2. Human + agent visibility. GenAI adds new actors (assistants, copilots, agents). ClearWork shows where humans and agents interact in the flow—so you can design guardrails, prompts, and handoffs intentionally.
  3. Change management baked in. ClearWork’s to-be mapping and in-browser guidance support adoption as you design it, not as an afterthought.
  4. Avoid premature data engineering. Mine deeply where it matters, later. ClearWork reduces up-front dependency on event-log modeling (which UiPath clearly documents as required for mining).

When to choose ClearWork vs. UiPath

Choose ClearWork if you want to:

  • Get immediate, cross-app “as-is” process intelligence from real UI behavior.
  • Identify quick wins and design AI-ready to-be processes with adoption guidance.
  • Skip manual process mapping via workshops and manual interviews
  • Instrument human↔agent handoffs to de-risk AI pilots.

Choose UiPath if you need to:

  • Build an enterprise automation platform with RPA, DU/AI Center, connectors, and governance.
  • Analyze at system-of-record depth using event logs and Task Mining on desktops.

Both can coexist: ClearWork surfaces and prioritizes opportunities fast; UiPath delivers governed automation and model-driven mining where warranted.

Implementation: what “days, not months” looks like with ClearWork

Day 0–2

  • Enable browser capture; define target flows.

Day 3–7

  • Run guided sessions across key web apps (e.g., Lead→Quote→Bill).
  • Review automatic maps, task variants, friction hot-spots.

Day 8–14

  • Draft to-be blueprints from AI; attach guardrails/prompts.
  • Publish quick-wins and adoption plans; instrument in-browser nudges.
  • Define key requirements & transformation plans

FAQs

Is ClearWork a replacement for UiPath?
Not always. ClearWork is a faster on-ramp to truth about how work happens across web apps and to guide AI/agent adoption. Some teams then layer UiPath automations and, where appropriate, Process Mining models.

Does UiPath require event logs for Process Mining?
Yes—UiPath’s docs outline data models and event-log design (case IDs, activities, timestamps) as foundational. That’s standard for process mining.

What about UiPath’s AI features?
UiPath offers Autopilot, Document Understanding/AI Center, Communications Mining, and Clipboard AI—useful for enterprise automation. ClearWork’s edge is mapping and improving human↔agent workflows quickly so you know where to deploy those capabilities.

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Drive process clarity & transformation in days not months

When looking at process intelligence vs. process mining the details are nuanced. Let's chat and see what will best support your use case!

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