Agentic AI and Enterprise Integration
Agentic AI is a type of AI system that can autonomously operate, adapt in real-time, and solve complex problems with minimal human intervention. It has evolved from simple DIY fixes to a standardized architecture.
Standardized Architecture Components
- Foundational platforms
- Orchestration layers
- Protocols for communication and coordination
An example of this is a bank automating its customer service workflow. It requires:
- A multi-agent framework to divide work into manageable pieces
- A system to coordinate agents
- A common language for inter-agent communication
- An audit trail for decisions made by AI agents, ensuring each decision leaves a digital footprint
Human Supervision
Human oversight is crucial, as decision-making should not only occur in exceptional circumstances to prevent loss of context. Agentic AI workflows must be designed to pause regularly for human intervention, even if digital agents can complete tasks independently.
Integration Beyond Isolated Automation
Enterprises need to integrate agentic AI into business processes beyond isolated automation to harness its full potential. Business-critical functions, such as credit appraisal in banks, will have limited delegation to digital agents, increasing system complexity and necessitating sophisticated human oversight.
Human Workforce and Ethical Considerations
- The human workforce must engage in scenarios involving digital decision-making to avoid over-surrendering human agency.
- Enterprises are advised to start with low-skill processes and gradually expand upwards.
- Ethical incorporation of AI into workflows is necessary to protect brand integrity.
- Human employees' feedback is vital throughout the agentic AI transformation process.
