Volume Five
The broad spectrum of Agentic AI
Our last edition highlighted a fundamental lack of data excellence as a critical limiting factor to successful AI adoption.
This time around we’re exploring the broad spectrum of Agentic AI and interrogating topics such Secure AI and what that means for organisations, especially those already engaged in progressive forms of AI and multi-agent solutions.
Key Insights:
Agent infrastructure is the new battleground
As MCP adoption expands, AI infrastructure is evolving from monolithic agents towards modular, role-based systems designed for more efficient orchestration.
Mapping the frontier
Frontier AI competition is shifting from raw model capability towards cost, speed, multimodality and long-horizon agentic execution, while growing context windows and open-weight models expand their potential for enterprise use.
Security and governance: the burning platform?
AI agents are creating new security and governance challenges, making tighter access controls, agent identity, observability and rapid containment essential for safe enterprise adoption.
Ones to watch
The emerging design principles shaping how AI is built, trusted, and scaled in its next phase.
