What the new UiPath trends report really says about the future of automation

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November 19, 2025

Everyone is racing to deploy AI agents, build multi-agent systems, redesign processes, and talk about “agentic enterprises.” And honestly, the excitement is justified. 

The UiPath Trends 2026 report shows just how quickly this shift is accelerating. The PwC AI Agent Survey, which was often referenced in the report, states that 75% of companies plan to deploy MAS (multi-agent systems) within the next 18 months.

What these agents can do is genuinely impressive. But the more you read between the lines, the more obvious it becomes: The technology isn’t the bottleneck – the operational environment often is.

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The agent boom is happening faster than the infrastructure can catch up

The UiPath report highlights a very uncomfortable, very important truth: organizations are adopting agents faster than they are building the structures required to manage them.

There’s a big gap in:

  • governance
  • observability
  • guardrails
  • data quality and context
  • agent orchestration

Many companies launch an agent or two, and suddenly the environment looks less like a structured automation program and more like a chaotic team meeting – everyone talking at once, and nobody bringing an agenda.

One reason for these gaps is that most systems still rely on flat, isolated data. Without context – understanding how processes and systems relate to each other – agents struggle to make accurate, coordinated decisions.

A study by Moe Kayali found that ontology-enriched data (structured, context-aware data that helps AI and automation systems understand relationships between processes) improved large language model accuracy from 16% to 54%.

The same principle applies to enterprise agents: context dramatically improves how well they operate in complex environments.

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Multi-agent systems are powerful – but only if someone is steering

The report is full of data proving MAS can deliver massive operational value:

  • fewer errors
  • faster execution
  • lower service costs
  • better routing
  • smoother decision pipelines

But here’s the thing nobody likes to say out loud: multi-agent systems don’t scale themselves. Someone has to provide the structure, constraints, real-time visibility, and the orchestration layer that makes sure independent decisions don’t collide.

This is exactly the point where some of the traditional RPA operating models stop working. You can’t coordinate autonomous agents with the same frameworks you used for attended automations in 2019.

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Where Pointee fits into this new landscape

This shift is exactly why Pointee’s direction changed this year. We’re moving from orchestrating RPA to something much bigger which we will officially unveil very soon. The goal isn’t to replace what teams already use, but to give automation and AI leaders the operational layer they’re missing — the visibility, control, and reliability needed to keep their automations running at enterprise scale.

The UiPath report and other studies paint a clear picture: the agentic era is here, and it’s moving faster than most organizations expected. The companies that thrive won't be the ones deploying the most agents but the ones who build the operational foundation that makes those agents productive, safe, predictable, and aligned.

2026 isn’t the year of AI hype. It’s the year AI gets organized and fully reliable.