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There are seven main steps for your company to go from tool adoption to agentic org.

Most companies sit on step one, shopping for step seven technology. They need step four discipline.

Step one: tool adoption. AI tools exist across the org, humans run each one. Developer closes the lid, automations die. Somebody goes on vacation, the workflow goes with them.

Step two: context layer. Knowledge graphs per department, each behind its own API gateway. Sales queries engineering through an API. Separated domains keep agents from hallucinating across departmental boundaries.

Step three: harness engineering. Build evaluation criteria, routing logic, and quality gates before you pick a model. The LLM comes in last. Your harness is your IP and your capex. The model underneath is a commodity you swap when something better ships. If changing the LLM breaks your system, you built a dependency, not a platform.

MBall_Atlanta I respectfully disagree. I would suggest governance needs to move up somewhere around steps 2-3. Also, why most companies are not successfully elevating through this progression…because training and culture change mgmt is not even a mention here. “That’s implied” is a failure Aug 26

mardehaym Author Thanks, Matthew. In my other posts, I have outlined the culture change and mgmt before as main bottlenecks for becoming AI-native, it's true.

This post, however, is more focused on technical aspects of becoming an agentic organization, and the steps are numbered but some of them Aug 26

MerbinJAnselm Thank you Mark. I’m someone who is working in SAP enterprise agent space (I help implement and realize) and finds your insights more relatable than anyone here. Aug 26

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There are seven main steps for your company to go from tool adoption to agentic org.

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