Tacit AI turns approved food-safety documents, equipment records, downtime history, and maintenance evidence into source-traceable risk and control-plan proposals. Maintenance, Operations, Engineering, and Food Safety approve the changes that apply.
Use downtime, work orders, quality events, manuals, and line context to propose the equipment failure modes most relevant to throughput, waste, changeovers, and product disposition. Sources and assumptions stay visible to reviewers.
Where an approved HACCP study identifies an equipment-dependent control or CCP, Tacit AI can propose links to relevant equipment failure modes. The food-safety team determines hazards, CCPs, critical limits, monitoring, corrective action, and acceptance.
Draft proposed detection methods, maintenance controls, reaction steps, and ownership from approved inputs. Nothing changes the food-safety management system, HACCP plan, SOP, or control plan until authorized owners review and approve it.
Keep recipe, allergen, packaging, sanitation, operating mode, and equipment-configuration exceptions attached to the analysis. Approved content can be proposed for reuse, but applicability is confirmed line by line.
Review each proposed FMEA or control-plan element beside its source, assumptions, version, and reviewer decision. Tacit AI supports evidence preparation; certification and conformity remain with the site and its certification or regulatory bodies.
Measure equipment identity, downtime coding, product context, and record completeness before drawing patterns. Teams see which source gaps limit production or food-safety review.
For Operations, Engineering, Maintenance, Quality, and Food Safety leaders who need a shared, controlled view of equipment risk across high-throughput lines and changing product schedules.
Start with selected downtime, work orders, quality events, current risk analyses, and the approved HACCP plan. Review where equipment evidence may justify maintenance or control-plan changes.
Use approved process information, OEM documents, sanitation requirements, and food-safety decisions to prepare proposals before ramp-up. The site’s owners qualify and approve the result.
Tacit AI can support evidence workflows under the schemes and regulations that apply to the site; it does not confer certification or determine HACCP controls.
Agree the line boundary, products, evidence, equipment-dependent controls, baseline, named reviewers, and expansion criteria before analysis begins.
Customer-defined
Select one line or system, production-loss question, relevant food-safety controls, approved sources, and accountable reviewers.
Deliverable
Approved scope, baseline, source inventory, exclusions, and review rubric.
Agreed schedule
Tacit AI prepares proposed equipment risks and control links. Food Safety, Engineering, Maintenance, and Operations reviewers accept, revise, or reject them.
Decision
Proceed only if agreed usefulness, traceability, and review-effort criteria are met.
After validation
Move accepted changes through site procedures, then assess additional lines with product, allergen, sanitation, process, and configuration exceptions intact.
Decision
Expand against customer-defined production and food-safety outcomes.
Bring the current HACCP plan, relevant equipment records, and a bounded downtime or control question. We will define the evidence and approval path together.
