USE CASES
These are illustrative use cases drawn from years inside production and industrial environments. They are patterns, not client case studies: each describes a problem, how AI can help, and what we would measure to know whether it worked.
Reads requests and quotes, checks them against policy, and drafts routine supplier messages — so buyers spend their time on negotiation and exceptions.
What we would measure: request-to-order cycle time, rework on purchase requests, and hours spent on routine follow-up.
Agents that triage incoming alerts, gather context from existing tools, and draft a first response — with a person approving every action.
What we would measure: time to triage, share of alerts closed without escalation, and analyst hours per incident.
A voice assistant that walks technicians and new users through procedures and answers questions on the spot, while their hands stay on the work.
What we would measure: time to competency for new staff, task time on guided procedures, and repeat questions to supervisors.
In an assessment we map a pattern like these to your own workflow, measure how it performs today, and decide together whether a pilot is worth running. If the numbers don’t justify it, we say so.
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