Is Automation Anywhere the key to scaling enterprise RPA?

Enterprise teams chasing measurable automation gains are watching how Automation Anywhere handles scaling now that its platform has shifted from classic RPA into full Agentic Process Automation. The question is whether one vendor can deliver the governance, speed, and AI depth needed to move past pilot projects and into sustained, company-wide impact.

Platform shift to agentic work

Automation Anywhere rebranded its core offering as Automation 360 in 2021 and has layered AI agents on top since then. The 2026 release adds reasoning engines that plan, execute, and adjust tasks without constant human scripts.

These agents can handle up to eighty percent of end-to-end processes once rules and goals are set. Early adopters report fewer hand-offs and shorter cycle times than traditional bot deployments.

The change matters because many large organizations are hitting limits on what scripted bots can achieve without constant maintenance.

Market growth and migration pressure

The global RPA market is projected to rise from twenty-eight billion dollars in 2025 to thirty-five billion in 2026. Renewals are forcing IT leaders to weigh legacy costs against newer AI-native options.

UiPath lost share in recent tracking, and Blue Prism faces similar pressure. Enterprises cite migration tools and governance gaps as reasons for evaluating switches.

Automation Anywhere positions itself as the platform that can absorb existing automations while extending them with agents that operate across departments.

EnterpriseClaw and partner stack

In May 2026 the company launched EnterpriseClaw, a joint effort with Cisco, NVIDIA, Okta, and OpenAI. The initiative embeds next-generation agents inside existing enterprise systems.

Early feedback on social channels notes faster authentication flows and tighter security controls when agents interact with multiple SaaS platforms. IT teams say the pre-built connectors reduce custom code they previously had to maintain.

The partnerships also signal that scaling RPA now requires hardware, identity, and model providers working inside a single orchestration layer.

Pre-built department solutions

Automation Anywhere released ready-to-deploy automations for entire IT and finance functions in the same May update. These packages cover service desk tickets, invoice processing, and compliance checks without starting from blank bots.

Customers report deployment times measured in weeks rather than months. The pre-builts come with governance templates that satisfy audit requirements common in regulated industries.

The approach addresses a frequent complaint that RPA projects stall once they move beyond narrow use cases into cross-functional workflows.

Financial performance signals demand

Third-quarter 2025 results showed AI-related bookings growing forty-five percent year over year and accounting for more than seventy percent of total business. That pivot is now reflected in the 2026 product roadmap.

Analysts tracking public cloud RPA note that Automation Anywhere has held the top position in that segment for several years. The recent numbers suggest enterprises are willing to pay for agent capabilities once ROI appears.

Leadership in the 2025 Gartner Magic Quadrant for the seventh straight year reinforces the same trend among procurement teams that rely on analyst rankings.

Documented customer outcomes

Petrobras recorded one hundred twenty million dollars in savings within three weeks of rolling out autonomous service desk features. The gains came from handling more than one billion IT service requests without proportional headcount increases.

KPMG used the platform to surface one hundred fifty million dollars in future opportunities while cutting back orders by fifty million and days sales outstanding by thirty million. Both cases involved existing RPA estates that were extended rather than replaced.

These results are cited by other large organizations evaluating whether similar lifts are repeatable inside their own environments.

AI bookings and scaling metrics

The Stanford Graduate School of Business case study on Automation Anywhere highlights how AI bookings now dominate revenue. That shift tracks directly with enterprise demand for agents that can reason across systems.

Scaling metrics inside the study include reduced exception handling and lower change-management overhead once agents replace brittle scripts. Governance dashboards track compliance in real time rather than through periodic audits.

Enterprises that previously capped RPA at a few hundred bots are now testing thousands of agent-driven processes under the same control framework.

Remaining adoption hurdles

Some teams still worry about data residency when agents call external models. Automation Anywhere has added on-premise and private-cloud deployment options to address that concern.

Change management remains an issue for organizations whose process owners are not yet comfortable delegating decisions to software. Training programs bundled with the 2026 release aim to shorten that learning curve.

Legacy bot debt also slows migrations; companies must decide whether to rewrite or wrap older automations before layering agents on top.

Next steps for enterprise teams

Decision makers evaluating automation anywhere should map current RPA inventory against the new pre-built department solutions. A short proof of concept using EnterpriseClaw connectors can reveal integration gaps early.

Teams that already run Automation 360 can enable the agent layer incrementally, starting with high-volume, low-risk processes. Governance settings carry over, which reduces the audit work usually required for new technology.

The 2026 updates show one vendor attempting to collapse the distance between traditional RPA and full autonomous operations, giving enterprises a single platform to test that claim at scale.

Forward trajectory

Automation Anywhere’s recent moves position it as a contender for organizations that want to keep scaling RPA while folding in agentic capabilities. Whether it becomes the default choice depends on how quickly other vendors match the pre-built depth and partner integrations now on offer.