Every senior leader I talk to asks the same question: "How do we move beyond AI pilots?"
The answer isn't bigger models. It's orchestration.
I've just published Part 1 of "Web of Minds"—a deep exploration of AI orchestration's three evolutionary phases. This first article examines Phase 1: how workflow orchestration is transforming enterprises today.
The stakes are clear:
→ 82% of leaders say this is a pivotal year to rethink strategy and operations
→ 81% expect agents to be extensively integrated in their AI strategy within 12-18 months
→ Frontier Firms deploying these systems report 71% thriving vs. 39% globally
Part 1 covers what you need to know now:
What's working: Financial fraud detection is achieving 50-80% productivity gains. Northwestern Mutual is cutting response times from hours to minutes. Pharmaceutical companies are compressing R&D timelines from years to months.
The architecture: How specialized agents coordinate under supervisor layers. Why multi-agent systems hit 90% success rates while single agents plateau at 60%.
The platforms: Strategic trade-offs among AWS Bedrock, Microsoft Copilot Studio, and open-source frameworks such as LangChain and CrewAI.
The new metric: How to define your human-agent ratio—determining the optimal balance of automation and oversight for each function.
What's next: Early signals of Phase 2, where agents will coordinate dynamically without predetermined workflows.
This isn't just about technology. It's about understanding the operational model that will define competitive advantage over the next decade.
The series will continue with Phase 2 (self-coordination) and Phase 3 (emergent intelligence) over the next 3 weeks. You can subscribe or follow to catch the next installments.
Read part 1 here.
Web of Minds: Part 1