AI Agents
Expert insights and technical analysis on AI Agents. Our articles combine academic rigour with commercial pragmatism to help organisations successfully implement AI Agents solutions.
5 articles
Securing AI agents: Why tool use creates new attack surfaces
Securing AI agents requires treating the surrounding architecture as the threat surface, not the model itself, because authentication gaps, over-provisioned tool access, and prompt injection vulnerabilities combine to make your most capable agents your most dangerous ones.
AI-enhanced scenario planning: techniques for modern boardrooms
Modern boardrooms are squandering AI's potential in scenario planning by digitizing outdated methods rather than implementing sophisticated systems that explore true possibility spaces through causal inference, complex adaptive modeling, and counterfactual testing.
Self-improving systems: the AI architecture pattern everyone talks about, nobody builds
Despite the hype, truly self-improving AI systems remain theoretical due to fundamental technical and organizational barriers, with today's "self-improving" implementations being merely constrained optimization within predetermined parameters.
An executive’s guide to AI agents
AI agents are transformative software entities that enhance operational efficiency and decision-making in businesses by autonomously performing tasks and leveraging advanced technologies like generative AI.
Unlocking business potential with AI agents
AI agents are intelligent systems that autonomously handle tasks, enhancing efficiency and reducing costs.