AI Search Implementation for Manufacturing

Pure semantic search is worse than keyword for exact product codes and part numbers. Hybrid retrieval is almost always the right answer.

In manufacturing, plant networks are unreliable and decisions must happen locally in milliseconds. That single fact reshapes how ai search implementation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is production scheduling, usually integrated against CMMS. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.