Right-tool consulting
LLM, decision model, classic ML, rules, or a human. We map which.
The engagement, in one paragraph
Our flagship anti-hype engagement. We walk your workflows task by task and decide which intelligence belongs on each one: a general LLM, a decision model, classic machine learning, an honest rules-based system, or no automation at all. You stop paying LLM prices for jobs a lookup table does better.
Standard for every engagement
What you receive
The deliverables.
A complete task inventory across the workflows in scope
Per-task intelligence assignment with the reasoning on paper
Cost, latency, and reliability comparison per option
A "do not automate" list with the justification
An implementation sequence ranked by payoff
Fit check
Signs you need this.
Every problem in the roadmap is somehow an LLM problem
Inference bills grow faster than the value anyone can point to
Simple rules kept getting replaced by slower, less reliable models
You suspect some tasks should stay human but nobody will say it
None of these fit?
Briefs arrive in every shape. Describe the problem in plain language, the scoping step exists to find the right service, including when the right answer is none of them.
Task mapping