Enterprise multi-agent architectures resolve to three orchestration patterns (hierarchical, peer-to-peer, broker-mediated) with materially different governance properties: hierarchical concentrates accountability at the orchestrator and is the easiest to audit but the most exposed to orchestrator-compromise; peer-to-peer distributes accountability and is the most resilient to single-agent failure but the hardest to audit; broker-mediated centralises the inter-agent communication path and is the most defensible against the cross-agent prompt-injection class. The choice of pattern is not a free architectural decision in 2026 because the EU AI Act's Article 9 risk-management requirements and the OWASP Agentic AI threat surface impose specific control obligations on each pattern. An enterprise should default to broker-mediated for new deployments above the high-risk threshold; hierarchical is acceptable for low-risk and contained deployments; peer-to-peer should be avoided in production agentic AI in 2026 unless the audit substrate is materially stronger than vendor-native baseline.
Multi-agent architecture playbook. 90-day review cadence. Watches: (1) the A2A (agent-to-agent) protocol's adoption trajectory through 2026 (claim AM-050 covers in detail), (2) Anthropic Managed Agents and OpenAI Operator's evolving multi-agent primitives, (3) emerging case-law and regulatory guidance specific to multi-agent failure attribution (currently underdeveloped; expect first major precedent in 2026-2027), (4) MCP (Model Context Protocol) adoption that affects how broker-mediated patterns get implemented.
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About this register
The Reporting register tracks claims published from articles addressed to senior enterprise IT leaders — CIOs, IT directors, heads of platform. Claims are reviewed on a 30–90 day cadence; each review either reaffirms the claim, marks one substantive part as Partial, or marks it Not holding once the underlying evidence has been overtaken.
Recent corrections in Reporting
- AM-002 · Not holding · 06 May 2026
URL state changed. The /the-agentic-ai-revolution-real-world-success-stories-and-strategic-insights-from-2024-2025/ slug now serves a deliberately rewritten retrospective (claimId AM-130, "Agentic AI 2024-2025 retrospective", published 04 May 2026) against audited primary sources. The 28 Apr 2026 redirect to /retractions/ has been lifted to allow that. AM-002 the claim remains Not holding — the original $3.50/dollar + 70% failure-rate framing was withdrawn and is not restored. AM-130 is a separate claim with its own evidence chain. Readers arriving at /holding/AM-002 see the withdrawal here; the article link surfaces the new piece at the URL the original lived at, with this entry as the audit trail.
- AM-121 · Holding · 2 May 2026
Klarna walk-back primary-source upgrade — added Siemiatkowski verbatim quotes via Bloomberg-cited-by-Fortune (9 May 2025) and the Uber-style freelance hiring detail via Entrepreneur. Closes the highest-priority evidence gap from the source dossier.
- AM-115 · Holding · 29 Apr 2026
Initial publication 29 Apr 2026 — the first Quarterly Claim Review Bulletin. The claim itself is recursive: it asserts that the bulletin will ship quarterly, and the next review (30 Jul 2026) tests whether the Q3 bulletin actually appeared. Status starts as 'up' because the claim is currently true (the Q2 bulletin shipped). The verdict at end of July 2026 will move to Holding, Partial (bulletin shipped but on a delayed cadence), or Not holding (no bulletin shipped). REVIEW: Peter — please verify claim text + cadence wording before removing rewriteInProgress flag.
Reviews coming up in Reporting
- AM-003 · Holding · next +5d (19 May 2026)
GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month…
- AM-136 · Holding · next +21d (4 Jun 2026)
Across the 24-month window May 2024 to April 2026, every major foundation-model provider (Anthropic, OpenAI, Google, AW…
- AM-020 · Holding · next +35d (18 Jun 2026)
The 40-60% TCO underestimate on enterprise agentic-AI deployments is not a cost-visibility failure — it is a cross-depa…