The situation
A software consulting firm was suffering from the common growing pains of AI adoption. Costs were growing exponentially, and the disparity between the people using AI the most and those using it the least was stark. It was clear that some people were not using AI enough, and equally clear that others were misusing it too much.
The approach
Bob brought sanity and consistency to the effort, helping each person use AI the right way and in the right amount for their work. That meant building practical skills among the less experienced while protecting early adopters from cutting themselves on the bleeding edge of technology. He stood up a company-wide AI Enablement program, consolidated tooling, migrated teams from pay-per-token API access to flat-rate agentic subscriptions, set standards and training, and redesigned the delivery lifecycle so AI-accelerated work moved cleanly from sales to delivery.
The result
Costs went down while quality, productivity, happiness, and satisfaction all went up. People were able to delegate to machines the routine, repetitive work that AI could now handle, freeing them to focus their human knowledge and skills on problems that machines are not yet capable of tackling and solving.
The organization had its best-ever year in revenue, recorded its best-ever employee satisfaction scores, and won two different awards for being a great place to work.
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