AI agents have evolved well beyond their early reputation as simple conversational bots. Thanks to advances in agentic AI, these agents can now make decisions, execute tasks independently, and integrate across multiple industries to improve efficiency, accuracy, and speed.
SS&C Blue Prism, which offers digital automation technology, recently delved into some real use cases for AI agents across financial services and other sectors.
Agentic AI equips AI agents with cognitive capabilities like memory, reasoning, and learning. Unlike traditional automation that follows pre-set rules, agentic automation combines AI intelligence with automation workflows, enabling systems to handle complex, dynamic processes without human intervention.
An AI agent, sometimes called an AI worker, uses these capabilities to achieve specific goals, working either partially or fully autonomously. They can be industry-specific, like vertical AI agents for finance or healthcare, or vary by complexity, ranging from basic task automation to sophisticated, decision-making systems with cognitive abilities.
AI agents now support a wide range of business needs. In financial services, they detect fraud, assess credit risk, streamline compliance, automate KYC checks, and handle customer onboarding. Healthcare systems use them for diagnostics, personalised treatment plans, and administrative tasks, while logistics firms leverage them for route optimisation, demand forecasting, and inventory management.
Real-world deployments showcase their impact. SS&C has rolled out over 2,700 AI agents across operations, saving $200m in three years. These include agents for credit agreement processing, reconciliation, invoice analysis, and vendor contract reviews. Benefits range from 95% faster processing times to over 90% reductions in manual effort, improved compliance, and significant increases in productivity.
Despite these successes, SS&C’s 2025 Global Enterprise AI Survey revealed that while 29% of organisations already use agentic AI and 80% see its potential to boost productivity, challenges remain. Security, compliance, and operational trust remain barriers, with 37% citing security as the biggest concern.
SS&C tackles these issues through its AI Gateway platform for enterprise AI governance and the SS&C | Blue Prism Enterprise Operating Model (EOM) methodology, ensuring robust risk management and structured AI integration strategies.
For more about real world use cases of AI agents, read the full story here.
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