Vendor Lock-In & Platform Strategy: Building Multi-Agent Architectures

THE AGENTIC ENTERPRISE — PART 5 OF 8

This essay and its extended strategic notes are reserved for premium members of AI Strategies for CEOs — the executives and investors shaping AI’s next chapter.

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Enterprises are deploying agents on single-vendor platforms. This creates a new form of lock-in far deeper than cloud computing—because agents accumulate knowledge that is too costly to migrate.

A recurring deal pattern has emerged three times in the past six months, raising concerns significant enough to merit a dedicated analysis.

A company builds its agentic AI infrastructure on a single platform—typically Azure with OpenAI, Google Vertex AI, or AWS Bedrock with Anthropic. Over six to twelve months, the agents accumulate workflow logic, exception handling patterns, data embeddings specific to the company’s operations, and integration connectors to internal systems. The agents work well. The ROI is real. Leadership is satisfied.

Then circumstances change. The vendor raises prices significantly. Or the vendor’s model quality stagnates while a competitor leaps ahead. Or the vendor’s roadmap diverges from the company’s needs. Or a regulatory requirement makes continued use of that vendor’s infrastructure problematic.

The company begins evaluating a platform switch. And then they discover the cost of migration.