Cognitive Agent Deployment Framework for Autonomous Financial Systems: A Multi-Stage Implementation Roadmap

• Ananya Sharma

  Author

As technology in the financial sector takes centre stage, operationalisation of an autonomous cognitive agent faces challenges of regulatory compliance, governance, and organisational change. The paper presents ADAPT, a five-stage institutionalisation guide that operational decision-makers can use to define and design, assemble, pilot, and institutionalize LLM-powered agentic AI systems in a highly regulated organization. The first stage enables the definition of strategic objectives and design of functional is equirements that flow from risk appetite statements, policies and regulations. In the second phase, we enable the design of governance structures and risk management capabilities. Stage three is used for the design and development of multi-agent systems. During stage three, extensive enterprise-level pilot governance frameworks will be used to conduct multiple pilots. The fifth stage indicates enterprise-wide transformation. We use 30 subject matter experts from banking, insurance, investment management, and FinTechs in a mixed-methods evaluation design. The practitioners’ scores obtained from using a five-point Likert scale show that confidence ranges from 4.00 in Assemble to 4.23 in Transform. According to the findings, the new framework assists them in effectively tackling tough challenges.

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