The rise of AI agents and collaborative automation
How autonomous AI agents are redefining business process automation
Traditional automation has its limits, but AI agents are changing the game. This report from the Deloitte AI Institute™ explores how they can help you rewrite the rules of automation to unlock agility, efficiency, and value.
Key takeaways about RPA and AI
- AI agents have opened new horizons of robotic process automation (RPA) through their ability to understand context, learn dynamically, and make decisions autonomously.
- Organizations are leveraging agentic process automation (APA) to automate complex and dynamic processes that previous technologies couldn’t, with human oversight to maintain control and accountability.
- Combining RPA and AI agents can amplify productivity and scalability while balancing cost, effectiveness, and adaptability.
- Businesses should maintain RPA for structured tasks while integrating AI agents to drive smarter, more adaptive automation.
A new paradigm for business process automation
Unlike RPA, AI agents don’t just react; they reason and take action. Explore their differences to learn how APA can enhance things like personalization, scenario planning, continuous optimization, and risk management.
Explore more from our AI agents series
Dive into our ongoing series to complete your understanding of autonomous AI and get tangible recommendations on how to move forward.
See use cases showing how AI agents and multiagent systems can transform traditional, human-led processes.
Understand principles and reference architectures underlying the creation of adaptive, cognitive processes with autonomous AI.
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Making moves to prepare for tomorrow
Game-changing technologies have the power to unlock efficiencies and replace old ways of working. But the greatest potential of agentic AI lies in expanding automation beyond traditional limits and enhancing existing automation with adaptability, reasoning, and decision-making capabilities.
From self-healing automation to autonomous negotiation, read on to discover the now, next, and future of AI agents, and find your starting point based on your organization’s level of technological maturity.
Prakul Sharma
Patricia Henderson
