Why it matters
For enterprise developers, this shift signals a transition from passive LLM wrappers to active agents that require robust governance and deep integration with internal data. Success depends on balancing autonomous execution with reliable human oversight in production environments.
Key points
- Agentic AI systems can now perform multi-step tasks instead of just providing text responses.
- Platform providers are prioritising governance frameworks to manage autonomous agent behaviour.
- Effective deployment requires high-quality organisational data to ensure accuracy in customer interactions.
