How I Eliminated a $50K Consulting Dependency with Claude and an Afternoon
The Setup
We had a consulting firm on retainer. They were good — knowledgeable, responsive, delivered quality work. But at $50K per engagement for what was essentially data transformation and reporting logic, I kept wondering: do we actually need this?
The project in question was a partner enablement data pipeline — pulling partner activity data from multiple sources, normalizing it, and generating reports that our leadership team used for quarterly reviews.
The Experiment
I blocked off an afternoon. No meetings, no Slack. Just me, Claude, and the problem.
I started by describing the current state to Claude: the data sources, the transformations needed, the output format. Instead of asking it to write the whole thing, I worked through it conversationally — explaining what I knew, asking it to help me think through what I didn't.
What Actually Happened
Within about four hours, I had:
The Honest Parts
It wasn't perfect on the first pass. Claude got some of the business logic wrong because I hadn't explained a few edge cases clearly. But the iteration cycle was measured in minutes, not weeks.
The consultants would have taken 3-4 weeks to deliver. I had a working version in an afternoon and spent two more days testing and refining.
The Math
The Takeaway
This isn't a story about AI replacing consultants wholesale. There are plenty of engagements where deep domain expertise and external perspective are worth every dollar.
But for work that's primarily execution — taking a known problem and implementing a known solution — the economics have fundamentally shifted. If you can describe the problem clearly, you can probably build the solution yourself now.
The key skill isn't prompting. It's knowing your problem well enough to explain it.