Turning AI Experiments Into Enterprise Impact: Lessons Learned

As the infrastructure and cost barriers around enterprise AI fall away, software developers, engineers, architects and other builders are running through the gates, looking to use the newest technologies — agentic AI, large language models (LLMs) and model context protocol (MCP) — to innovate.

But once you get past that fence, what’s next? Experimentation takes you only so far — the real goal is to use that knowledge to build scalable AI solutions that deliver powerful business outcomes.

Can you make the strategic shift from tinkering…