Rated 5.0 · advisory engagement
Fractional CTO: ML Architecture & Roadmap Review
Reviewing the machine-learning plan, the stack and the sequencing before the team committed budget to it. Most of the value is in what comes off the roadmap.
The problem
A team was about to commit budget to a machine-learning roadmap that had never been reviewed by anyone who had shipped one. The expensive mistakes in ML are made in the planning, and they do not surface until two quarters of engineering have been spent on them.
What we built
An advisory engagement rather than a build: reviewing the machine-learning plan, the stack and the sequencing before the team committed to it.
Before
- A roadmap never reviewed by someone who shipped ML
- Planning mistakes surface two quarters later
After
Rated 5.0 · advisory engagement
Stack
Solution ArchitectureMachine LearningAdvisoryAI StrategyWhy it holds up
This is usually the cheapest work we do and the most expensive to skip. Most of the value is in what comes off the roadmap, not what goes on it. Rated 5.0, with the client writing: “Very highly recommend working with Cat. The quality of work, going the extra mile & idea/assistance given were truly outstanding. We will continue to work with Cat on many projects.”
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Get started
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