Vendor Lock-in

Vendor Lock-in at Beyond Market Intelligence is a file of 4 stories. The newest of them: “When AI Spending Runs Ahead of Your Controls, Three Platforms Won't Help”, “Build portable serverless logic without sacrificing native cloud power”, and “Many enterprise agents are chatbots, not the orchestrated future you need.”. Enterprise AI teams are done betting on a single orchestration platform. Vendor lock-in feels like a price you pay for using the cloud, but Elena van Engelen thinks you can have it both ways. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Vendor Lock-in story on Beyond Market Intelligence, newest first.

When AI Spending Runs Ahead of Your Controls, Three Platforms Won't Help
VentureBeat

When AI Spending Runs Ahead of Your Controls, Three Platforms Won't Help

Enterprise AI teams are done betting on a single orchestration platform. The median enterprise now runs three at once, not by accident, but because no one fully trusts one vendor. Security concerns and a desire for their own permissioning controls drive this hybrid approach. Microsoft leads today, but Anthropic dominates future consideration. Yet visibility remains a problem: one in five still can't stop a runaway agent's spending in real time. That gap between ambition and control is where the real work begins.

Build portable serverless logic without sacrificing native cloud power
InfoQ

Build portable serverless logic without sacrificing native cloud power

Vendor lock-in feels like a price you pay for using the cloud, but Elena van Engelen thinks you can have it both ways. In her presentation, she lays out how Clean Architecture, Spring Cloud Function, and Gradle modules keep business logic portable across AWS and Azure. The payoff is a live demo deploying Kotlin services with Terraform CDK. It's a practical path to flexibility. For more on reducing cloud constraints, check out our piece on stateless deployments with the Model Context Protocol.

Many enterprise agents are chatbots, not the orchestrated future you need.
VentureBeat

Many enterprise agents are chatbots, not the orchestrated future you need.

Enterprise AI has a deployment problem, not a platform problem. Across 101 enterprises, most "agents" are still chatbot wrappers, 71% admit a quarter or fewer handle true multi-step work. The ambition is real: hybrid control planes dominate by 2026, and lock-in fears drive the architecture. But the gap between strategy and shipped reality is the story. Explore how model gravity shapes platform choice, yet leaves the hardest work, reliable execution and fiscal control, still waiting for the build-out.

Enterprise agents promise more than most are delivering today
VentureBeat

Enterprise agents promise more than most are delivering today

The gap between ambition and reality defines enterprise agent orchestration today. Most "agents" are single-prompt chatbot wrappers, not multi-step workflows. Success requires reliability, yet the orchestration layer runs ahead of the portfolio it should manage. The path forward is clear: consolidate, build hybrid control, and treat token spend as an engineering problem. The ambition is real, now execution must catch up.