Who Do You Trust to Orchestrate Your AI Agents?

• Why multiple AI orchestration layers are emerging across the enterprise

• Where governance gaps exist in managing multi‑agent workflows

• How to evaluate competing orchestration platforms and vendor claims

• What to prioritize to ensure control, accountability and trust

As enterprises scale AI agents across multiple vendors and platforms, orchestration is becoming a critical architectural and operating decision. In many organizations, multiple orchestration layers are emerging unintentionally — across SaaS, automation tools, cloud AI services and shadow deployments.

This complexity introduces new challenges. Existing governance models often do not extend to multi‑agent collaboration, while platforms across BOAT, BPA, iPaaS and agent ecosystems compete to become the control layer. At the same time, CIO priorities are shifting toward neutrality, observability and accountability over speed alone.

This session explores how CIOs can approach orchestration decisions with a structured framework — balancing vendor dynamics, closing governance gaps and establishing a trusted, enterprise‑wide approach to managing agentic workflows at scale.

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