Automation Anywhere saves millions with internal AI agents
Process automation vendor Automation Anywhere deployed over 40 AI agents internally, saving hundreds of thousands in finance and tech support while boosting productivity.
Automation Anywhere, a leading process automation vendor, has successfully deployed over 40 AI agents across its internal operations since February 2024. The initiative, codenamed "Putting AI Agents to Work," has yielded significant cost savings and productivity gains, particularly in finance, tech support, and marketing.
Key Achievements
- Finance Operations: 12 targeted use cases in order-to-cash (O2C), record-to-report (R2R), and tax operations saved $350,000 and 6,000 hours of productivity. Improved cash flow and risk mitigation added nearly $5 million in value.
- Tech Support: AI agents resolved 30% of support tickets autonomously, saving 33,000 work hours annually. Ticket resolution rates improved by 89%.
- Marketing: AI-generated content tripled output while cutting costs by 80%, freeing up 15,000 hours for strategic initiatives.
Challenges and Solutions
Despite its automation expertise, Automation Anywhere faced employee resistance and a lack of AI skills in some departments. The company addressed this through:
- Upskilling programs to build AI literacy.
- Human-in-the-loop oversight during early deployments.
- An Olympics-style competition to encourage AI innovation among teams.
Industry Impact
According to Arthur Villa, a Gartner research director, Automation Anywhere’s early adoption gives it a first-mover advantage in the agentic automation space.
"They’re already on their second or third version of their agentic platform, while others are just working out the kinks," Villa noted.
Future Outlook
The company plans to maintain an "agent-first mindset", integrating AI into decision-making at all levels. As Kapil Vyas, SVP of IT, put it:
"Agents will advise us to make better and quicker business decisions."
The project earned Automation Anywhere a 2025 CIO 100 Award for innovation and leadership.
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About the Author

David Chen
AI Startup Analyst
Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.