Task mapping
Right-tool consulting
LLM, decision model, classic ML, rules, or a human. We map which.
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.
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
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
Work wanted
Tell us what you are trying to do and we will say whether this is the right notice.
Write to the labOther notices
AI audit
Find out if the AI you already run deserves to stay.
Local AI implementation
AI that never lets your data leave the building.
Hardware + software
The machines, the GPUs, and the software to run them.
Hybrid architecture design
Every task routed to the cheapest intelligence that can do it well.
Human-in-the-loop workflows
AI proposes. Humans verify and decide.
AI governance & training
Written rules for using AI, including when not to.