Sola vs Power Automate: can both handle UI automation across legacy desktop apps, and what typically breaks in production?

Most ops leaders assume that if a tool can move a mouse and click a button, it can “handle legacy desktop apps.” The reality is more nuanced: both Sola and Power Automate can automate UI-driven workflows, but they behave very differently once your bots leave the happy path and hit production—where UIs change, data is messy, and exceptions are the norm.

Quick Answer: Both Sola and Power Automate can technically automate legacy desktop applications at the UI layer, but they diverge on how resilient that automation is once things change. Power Automate relies heavily on brittle selectors and rigid scripts that often break when UI layouts or data formats shift, while Sola uses AI-native, agentic process automation—LLMs + computer vision, adaptive decisioning, and real-time error handling—to keep UI automations running and self-healing across browser and desktop apps.

Why This Matters

If you’re automating invoice reconciliation, order entry, claims processing, or complex filings in a legacy stack, UI automation isn’t optional—it’s the only way to bridge ancient desktop apps, thin-client tools, and modern SaaS without a multi-year integration project. But brittle bots that break after every minor UI tweak or data anomaly drain ops teams faster than manual work.

Getting this choice right determines whether:

• Your operations team actually trusts automation in production.
• You spend your roadmap on scaling automations—or on babysitting broken ones.
• Business experts (ops analysts, compliance leads, billing teams) can maintain workflows without a bench of RPA specialists.

Key Benefits:

• Higher production reliability: Sola’s agentic process automation is designed to be resilient to UI and data changes, reducing breakage that’s common with Power Automate’s selector-based approach.
• Faster time-to-value without rip-and-replace: Both tools avoid ripping out legacy systems, but Sola lets you record a real workflow once and turn it into a bot in minutes—without consultants or complex scripting.
• Lower maintenance and governance risk: Sola gives you real-time logs, audit trails, and centralized oversight so you’re never in the dark, while Power Automate frequently pushes maintenance back onto IT or RPA specialists.

Core Concepts & Key Points

Concept	Definition	Why it's important
UI-level automation across legacy apps	Automating work by visually interacting with screens—clicking buttons, typing into fields, navigating menus—in desktop and browser applications.	Most critical back-office work still lives in legacy systems without APIs; UI automation is how you bridge those gaps without rewiring your entire stack.
Agentic process automation (Sola)	Sola’s AI-native automation: record a real workflow once and Sola turns it into a bot that runs across browser and desktop apps, using LLMs + computer vision, adaptive decisioning, and self-healing behavior.	Makes UI automation more resilient—bots can adapt to minor UI or data changes and handle exceptions in real time, reducing the brittleness that plagues legacy RPA and static scripts.
Selector-based RPA (Power Automate)	Traditional RPA-style automation where bots rely on element selectors (IDs, XPaths, coordinates) and predefined rules to interact with UI elements.	Works in controlled environments but often breaks in production when UIs change, apps render differently, or data formats vary—leading to ongoing maintenance burden and frequent outages.

How It Works (Step-by-Step)

At a high level, both products can automate a legacy desktop workflow like: “Open a line-of-business Windows app, look up a customer, copy amounts, paste into a finance system, and update a status.” The difference is how they build, run, and recover that automation.

1. Capturing the Workflow

1. Sola – record once, generate agentic bot

   • You perform the workflow as you normally would—across desktop and browser apps.
   • Sola uses LLMs and computer vision to interpret your actions: which fields matter, what data is being moved, what conditions govern branching.
   • It converts that recording into a visual workflow you can inspect and edit—no code required, but with API-level composability if you want it.

2. Power Automate – design and script with selectors

   • You configure a “desktop flow” using Power Automate Desktop, manually defining each UI action: click this button, type into this field, read from this window.
   • The tool attaches selectors (like element IDs, names, or coordinates) to each UI element.
   • Complex logic often requires deeper RPA knowledge or scripting, and maintenance lives with IT or a specialized automation team.

2. Running Across Desktop & Browser Apps

1. Sola – UI-native, cross-application behavior

   • Bots visually interact with screens and applications across browser and desktop platforms, replicating user behavior at the UI level.
   • They can bridge SaaS apps, terminal-style tools, and legacy desktop systems without requiring clean APIs.
   • Sola adds data transformation and AI-powered document understanding inside the workflow—extracting, validating, and structuring data from PDFs, scans, or system-generated reports so the bot can keep going.

2. Power Automate – UI actions tied to specific selectors

   • Bots execute UI actions according to script: open apps, click through menus, perform keystrokes.
   • Works well when UI structures are stable and environments are tightly controlled.
   • Document handling usually needs additional services (e.g., AI Builder), and integration complexity can grow quickly as workflows mature.

3. Handling Change & Failure in Production

1. Sola – adaptive, self-healing behavior

   • Designed to be resilient: automations are robust against minor UI or data changes—reducing brittleness and keeping operations running smoothly.
   • LLMs + computer vision help the bot re-identify UI elements when labels shift slightly or layouts move.
   • Real-time error handling—guided by user feedback—lets bots learn from how humans resolve exceptions and incorporate those patterns.
   • Orchestration provides real-time visibility, logs, and audit trails so you can investigate and refine without guesswork.

2. Power Automate – traditional RPA brittleness

   • When selectors break (UI redesign, element renamed, resolution change), flows often fail outright.
   • Handling unexpected data or missing fields typically requires pre-coded branches; anything unanticipated sends bots into error states.
   • Maintenance relies on updating selectors or rewriting blocks of the flow, usually by someone with RPA expertise.
   • Monitoring exists, but teams often discover failures after batch jobs have stalled or backlogs have accumulated.

Common Mistakes to Avoid

• Assuming “can click a desktop app” = “production ready for legacy UI.”
  How to avoid it: Test tools under real-world conditions: multi-monitor setups, different resolutions, users with slightly different client versions, and live data with edge cases. Ask not just “can it record?” but “what happens when the UI changes slightly?”

• Underestimating maintenance overhead of selector-based bots.
  How to avoid it: Factor in the ongoing cost of updating flows when labels change, new fields appear, or processes evolve. Prioritize platforms (like Sola) that are designed to reduce brittleness and let business experts maintain workflows without scripting every exception.

Real-World Example

Imagine you’re automating invoice reconciliation for a finance team:

• Your source is a mix of emailed PDFs, scanned documents from vendors, and CSV exports.
• The core system is a legacy Windows-based accounting application with a dated UI.
• The process: read inbound invoices, validate line items, cross-check against purchase orders in a browser-based procurement system, and update payment status in the desktop app.

With Power Automate:

• You build a desktop flow that:
  • Opens Outlook or a folder, downloads attachments.
  • Uses desktop UI automation to open the accounting app, search for invoice numbers, and type in values.
  • Relies on fixed selectors for textbox positions, labels (“Invoice No.”, “Amount”), and buttons.
• In production:
  • A minor app update changes the layout of the invoice screen—or the label “Invoice No.” becomes “Invoice #”.
  • A vendor starts sending invoices with extra line items or a different table layout.
  • The flow starts failing at random steps; error messages are generic. Debugging means re-recording actions, updating selectors, and patching logic. The finance team goes back to manual work while IT “fixes the bot.”

With Sola:

• The finance team records the real end-to-end workflow once across Outlook, a PDF viewer, the browser-based procurement system, and the legacy desktop app.
• Sola converts this into an agentic bot that:
  • Uses AI-powered document understanding to extract, validate, and structure invoice data—even when formats vary.
  • Visually interacts with the accounting app and procurement system at the UI level, replicating how a user searches, navigates, and updates fields.
  • Uses LLMs + computer vision and adaptive decisioning to handle minor UI changes—like shifted fields or updated labels—without breaking.
• In production:
  • When a vendor changes their invoice template, Sola’s document understanding still extracts the core entities; the bot continues.
  • When the accounting app gets a small UI refresh, Sola can re-identify the fields visually and proceed.
  • Ops leaders monitor everything via Sola’s orchestration: real-time logs, audit trails, and centralized oversight show exactly where exceptions occur, so the team can adjust logic in the visual editor rather than rewriting scripts.

Pro Tip: When you evaluate tools, don’t just run demo-perfect flows. Introduce deliberate friction: change a label, add an extra column, or alter the resolution. Watch which platform fails silently, which one throws opaque errors, and which one adapts. That’s the best proxy for long-term production behavior.

Summary

Both Sola and Power Automate can automate UI interactions across legacy desktop applications—but “can it click the screen?” is the wrong bar. The real test is what happens when the UI shifts, the data gets messy, or the process changes.

• Power Automate follows the legacy RPA pattern: selector-based scripts that work in controlled environments but are prone to breakage and ongoing maintenance when your real production world moves even slightly.
• Sola takes an AI-native, agentic process automation approach: record a real workflow once, and Sola turns it into a bot that runs across browser and desktop apps, uses LLMs and computer vision to interpret and adapt, and stays resilient to minor UI and data changes. Add orchestration, real-time logs, and audit trails, and you get automations your operations team can actually trust.

If your operations depend on legacy UIs—and you can’t afford bots that break every time something shifts—optimizing for resilience, adaptability, and governance matters more than who can click faster in a demo.

Next Step

Get Started