Workflow ownership and proprietary outcomes data

AI is becoming the orchestration layer inside the enterprise.

In this episode of Big Ideas 2026, we explore the shift from isolated AI copilots to coordinated multi-agent systems that plan, analyze, and execute work across teams and tools. This is not a new feature, but a new way workflows run inside large organizations.

You will hear from Seema Amble on context extraction and coordinated agent teams, Angela Strange on why unified data and parallel workflows accelerate core replacement, Alex Immerman on multiplayer AI and execution boundaries, and David Haber on what makes these systems commercially defensible.

Together, these perspectives define the enterprise orchestration layer: not a chatbot and not a standalone tool, but a coordinated system of agents that runs the workflow and delivers real outcomes across the business.

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Read more all of our 2026 Big Ideas

Part 1: https://a16z.com/newsletter/big-ideas-2026-part-1

Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/

Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/

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Follow our host: https://twitter.com/eriktorenberg

Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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