The 6 Pillars of Agentic AI

The six essential qualities that agentic AI must have in order to be successful, in the best possible sense. 

Agentic AI Pillar 1. Safety and Trust

First in a six-part series on the pillars of Enterprise Agentic AI for Agent & Multi-Agent Team Design building on the launch article published here last month. This article is co-authored by Rob Price, co-founder of Futuria, and Patricia Shaw, CEO of Beyond Reach Consulting Limited, with occasional assistance from ChatGPT and Claude.

Agentic AI Pillar 2: Control and Governance at Scale

Second in a six-part series on the pillars of Enterprise Agentic AI By Rob Price , co-founder of Futuria and previously COO at Worldline UK and Central Europe, together with Philippe Bosquier, founder & CEO of InnoSynthex and previously CIO and CDIO at a number of businesses across US, UK and Europe. It builds on the first article published last week, which explored Pillar 1: Safety and Trust, and looks at Agentic AI from the perspective of those responsible for IT and business operations.

Agentic AI Pillar 3: Quality – Performance Monitoring and Continuous Improvement

In this article, we move into Quality – exploring what it means to monitor, maintain, and continually improve agent and multi-agent team performance at scale. While benchmarks and model testing are reasonably mature for foundation models, agents and their teams operate in a more complex, less predictable domain — requiring fresh thinking on what quality really looks like in an enterprise environment.