Why Niche Agent Teams Outperform Generalist AI in the Enterprise
Over the past two years working at the sharp edge of Agentic AI with some of the world’s most demanding organisations, we have learned something important…
The Futuria of Work: Scaling Auditable AI for Serious Enterprise Operations
After working hands-on with agentic systems, one thing is clear—the hard part isn’t intelligence. It’s work. Real organisational work: constrained by policy, shaped by judgement, reviewed after the fact, and expected to stand up to scrutiny.
Top 10 Agentic AI Trends for 2026: What Most Enterprises Will Get Wrong
Much of the conversation is still about AI replacing people, and it is undoubtedly true that AI’s impact continues to increase. But people have a big say in this too—thinking about the culture, the incentives and the needs of people in a hybrid workforce is critical.
Agentic AI-powered Business Transformation
The original 2-speed problem wasn’t that digital transformation was impossible—it was that IT didn’t know how to deliver it reliably. The patterns, practices, and mindsets that worked for Operational Speed failed spectacularly for Digital Speed.
Two Years In: Scaling Agentic AI for the Future of Enterprise Work
Two years into the agentic AI revolution, one truth is unavoidable: most enterprises still don’t know how to make it scale. The statistics are brutal — out of 20 POCs, only five will have any success and only one will scale.
Agentic AI Pillar 6: Financial and Commercial Risk in Enterprise Agentic AI
Agentic AI has the potential to transform business operations and unlock extraordinary value, but only if its costs, risks, and returns are actively managed.
Agentic AI Pillar 5: Infrastructure – Technology and Security
Pillar 5 examines the infrastructure, technology and security foundations enterprises need to deploy, scale and operate Agentic AI systems safely, reliably and with long-term resilience.
Agentic AI Pillar 4: High-Performing Human and Agent Teams
Pillar 4 focuses on creating high-performing hybrid teams of humans and agents. Learn how to design environments for seamless collaboration, continuous learning, and shared accountability to unlock productivity and resilience at scale.
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.
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.
