A shared agentic platform for Wood Mackenzie, on Amazon Bedrock AgentCore | Amazon Web Services
Building a working agentic prototype takes an afternoon. Getting it to production is where the work explodes. The moment an agent has to serve more than one user, a new layer of engineering appears and it’s critical to tell whether the agent is doing the right thing on real traffic. Concurrency, session isolation, identity, persistent state, scaling, and guardrails are all layers that most teams rebuild from scratch every time, even though a standardized platform for each agent is a more repeatable approach.
The result is a wide gap between experimentation and production. Industry surveys through early 2026 put enterprise AI experimentation near universal while only about a quarter of organizations have scaled agents into production in even one function. Internally at Wood Mackenzie, we have found that 88 percent of AI proofs-of-concept never reach widescale deployment. The reasons are consistent across analysts, and they are mostly architectural rather than...
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