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

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)

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:

Choose UiPath if you need to:

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

Day 3–7

Day 8–14

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.

image of team collaborating on a project

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!

[interface] image of employee interacting with hr software (for a hr tech)

Subscribe to our newsletter to stay up to date on all things digital transformation

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form. You can contact our team at avery.brooks@clearwork.io

Continue Your Education

Process Mapping mistakes and best practices

5 Common Mistakes to Avoid When Mapping Business Processes

Read More
Automated Data Processing Tools ClearWork

Automated Data Processing: How to Turn Workflow Data into Actionable Intelligence

Read More
Automated Data Processing Tools ClearWork

Automated Data Processing: Unlocking Efficiency, Powering Transformation

Read More
document.addEventListener('DOMContentLoaded', function() { const article = document.getElementById("single-article"); const tocContainer = document.getElementById("toc"); // Create the TOC const createTOC = () => { const headings = article.querySelectorAll("h2, h3, h4"); const tocFragment = document.createDocumentFragment(); headings.forEach((heading) => { const title = heading.textContent.trim(); const anchorId = `toc-${title.toLowerCase().replace(/\s+/g, '-')}`; heading.id = anchorId; const li = document.createElement("li"); const anchor = document.createElement("a"); anchor.textContent = title; anchor.href = `#${anchorId}`; li.appendChild(anchor); tocFragment.appendChild(li); }); const ul = document.createElement("ul"); ul.appendChild(tocFragment); tocContainer.appendChild(ul); }; // Check if the TOC container exists and the article has headings if (tocContainer && article) { createTOC(); } var tocItems = document.querySelectorAll('#toc a'); var titleElements = document.querySelectorAll('.content [id]'); function setActiveItem(targetId) { tocItems.forEach(function(item) { if (item.getAttribute('href') === '#' + targetId) { item.classList.add('active'); } else { item.classList.remove('active'); } }); } tocItems.forEach(function(item) { item.addEventListener('click', function(event) { event.preventDefault(); var targetId = this.getAttribute('href').substring(1); setActiveItem(targetId); document.getElementById(targetId).scrollIntoView(); }); }); titleElements.forEach(function(title) { title.addEventListener('click', function() { var targetId = this.getAttribute('id'); setActiveItem(targetId); }); }); const observer = new IntersectionObserver(entries => { entries.forEach(entry => { const id = entry.target.getAttribute("id"); if (entry.isIntersecting) { document.querySelectorAll(".active").forEach((z) => { z.classList.remove("active"); }); document.querySelector(`a[href="#${id}"]`).classList.add("active"); } }); }, { rootMargin: '0px 0px -50% 0px' }); if ("h2,h3,h4" !== "") { document.getElementById("single-article").querySelectorAll("h2, h3, h4").forEach(function(heading) { observer.observe(heading); }); } // handle anchor position function offsetAnchor() { if (location.hash.length !== 0) { const targetId = location.hash.substring(1); const targetElement = document.getElementById(targetId); if (targetElement) { const offset = targetElement.getBoundingClientRect().top - 100; window.scrollTo(window.scrollX, window.scrollY + offset); } } } window.addEventListener("hashchange", offsetAnchor); window.setTimeout(offsetAnchor, 1); });