Automation Anywhere Is Charging You Enterprise Prices to Do What a Computer Use AI Agent Does in Seconds

Let's Be Honest About What Automation Anywhere Actually Is

Automation Anywhere is a rule-based bot platform. You tell it exactly what to click, exactly what to read, exactly what to type, in exactly the order you specify. It follows those instructions with zero judgment, zero flexibility, and zero tolerance for change. Update your CRM's UI? Bot breaks. Add a new field to a form? Bot breaks. Change a column header in a spreadsheet? You guessed it. A Deloitte analysis found that companies routinely underestimate RPA maintenance costs by 30 to 50 percent in their initial business cases. One analysis tracking real enterprise deployments put Year 3 maintenance costs at 250,000 euros and climbing, as technical debt compounds on itself like a bad mortgage. Automation Anywhere has tried to respond to this by slapping AI features onto their platform and calling it 'Agentic Process Automation.' They announced their APA System in 2025 with a lot of fanfare about Google Cloud LLMs and enterprise governance. That's fine. But bolting a language model onto a brittle rule engine is like putting a Tesla touchscreen in a 2003 Corolla. The underlying architecture is still the problem.

The Real Numbers Behind RPA's Broken Promise

• ●30 to 50 percent of RPA projects fail before they ever reach production, according to research cited by Bornet et al. and confirmed across multiple industry analyses
• ●$28,500 per employee per year is what manual repetitive work costs U.S. companies, meaning your failed RPA project didn't just waste implementation budget, it also didn't save the underlying cost
• ●56 percent of employees report burnout specifically from repetitive data tasks, so the human cost is real and it's not going away while your bots are in maintenance mode
• ●Enterprises are running 10 to 20 legacy RPA bots on average, each one a ticking clock waiting for the next UI change to break it
• ●Bot maintenance is routinely underestimated by 30 to 50 percent, meaning the ROI your vendor promised you was built on a lie from day one
• ●Gartner projects 33 percent of enterprise software will include agentic AI by 2028, up from under 1 percent in 2024, which tells you exactly where the industry is heading and it's not toward more RPA licenses

What a Real Computer Use Agent Actually Does Differently

A computer use agent doesn't follow a script. It looks at a screen the same way a human does, understands what it's seeing, decides what to do next, and executes. If the UI changes, it adapts. If an unexpected popup appears, it handles it. If the task requires jumping between three applications and making a judgment call halfway through, it does that too. This isn't theoretical. The OSWorld benchmark exists specifically to test how well AI agents handle real-world computer tasks across browsers, desktops, and terminals. It's the closest thing we have to an objective measure of whether a computer-using AI can actually do your job. Claude Sonnet 4.5 from Anthropic scored 61.4 percent on OSWorld, which got a lot of press coverage. OpenAI's computer use offering has been similarly hyped. But here's the thing about benchmarks: they expose who's actually building serious computer use technology versus who's writing press releases. The gap between a 61 percent agent and an 82 percent agent in production is enormous. It's the difference between an agent that fails on one in three tasks and one that handles four out of five without intervention. For enterprise workflows, that gap is the difference between a useful tool and an expensive experiment.

Why Automation Anywhere's 'AI Pivot' Isn't Saving You

To their credit, Automation Anywhere saw the wave coming. Their 2025 product announcements leaned hard into agentic language, and they've built integrations with Google Cloud's LLMs. But there's a structural problem they can't engineer around. Their platform was designed for deterministic, rule-based execution. Agentic AI requires probabilistic, adaptive reasoning. These are fundamentally different architectures, and you can't fully retrofit one into the other without rebuilding from scratch. What you get instead is a hybrid that's more complex than pure RPA, more expensive to maintain, and still not as capable as a purpose-built computer use agent. The Reddit community that actually works with these tools is blunt about this. In a February 2025 thread on r/rpa, practitioners were openly questioning whether RPA makes sense at all for any process involving more than five steps or any UI variability. The people in the trenches are already moving on. The enterprise procurement teams just haven't caught up yet. And that gap, between what practitioners know and what procurement is still buying, is where Automation Anywhere's revenue lives right now.

Why Coasty Exists and Why the Benchmark Score Actually Matters

Coasty was built as a purpose-built computer use agent, not an RPA tool with AI stapled to it. It scores 82 percent on OSWorld. That's the highest score of any computer use agent publicly benchmarked, and it's not close. Claude Sonnet 4.5 hits 61.4 percent. The gap matters in practice because every percentage point represents real tasks that either complete successfully or fail and require human intervention. Coasty controls real desktops, real browsers, and real terminals. Not API wrappers. Not simulated environments. Actual screen-level computer use the way a human operator would work, except faster and without the $28,500 annual overhead per seat. The architecture supports agent swarms for parallel execution, so you're not running tasks sequentially and waiting. You run them simultaneously. There's a desktop app, cloud VMs, and a free tier to actually test it before you commit. BYOK is supported if you have model preferences. The point isn't that Coasty is perfect. The point is that when you're evaluating computer use AI options in 2025, you should demand benchmark numbers. Ask Automation Anywhere what their agent scores on OSWorld. Ask OpenAI Operator. Ask anyone selling you 'agentic automation.' If they can't answer with a specific number on a standardized benchmark, that tells you everything. Coasty's answer is 82 percent. You can verify it.