Most automation projects fail for reasons that have nothing to do with technology
The tool is rarely the problem. The problem is automating a process nobody has looked at honestly in years.
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Notes from the work.
Practical writing on software delivery, process automation, AI enablement, and technology leadership, drawn from engagements across commercial, nonprofit, and public sector organizations.
Your AI pilot doesn't need a better model. It needs a decision it's allowed to touch.
Most organizational AI work stalls in the demo stage. The blocker is almost never capability — it's that nobody defined what the system is permitted to decide.
ReadYou probably don't need a full-time CTO yet. You do need someone accountable.
The failure mode for growing companies isn't hiring a CTO too late. It's letting technology decisions get made by default, by whoever is closest to the problem.
ReadSmall businesses keep underestimating what government contracting actually asks of them
Registration is not a pipeline. The gap between being eligible for government work and being ready to win it is mostly operational, and mostly invisible until you are in it.
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