Metallurgy

Your mill should never pay twice for the same failure.

Tacit AI turns work orders, manuals, and engineering evidence into source-linked FMEAs—so repeat risk is exposed, critical assets are prioritized, and maintenance strategy improves before the next stoppage.

<1 min
technical-document retrieval, down from 43 minutes
42 min
observed workflow saving per retrieval
13%
observed wrench-time improvement

From failure evidence to FMEA

Build FMEAs around what your mill actually experiences.

Build evidence-linked FMEAs

Draft functions, failure modes, effects, causes, controls, and ratings from approved technical and maintenance sources. Every proposal links to evidence or is marked as an assumption.

Prioritize production risk

Combine failure frequency, repair burden, and production consequence to focus FMEA review on the assets that matter most to throughput, safety, and cost.

Keep FMEAs current

Compare new failures, repairs, and operating changes with the approved analysis. Affected rows are proposed for review instead of silently changing the controlled FMEA.

Improve maintenance strategy

Link failure modes to proposed inspections, PM tasks, intervals, and mitigating actions. Engineering and maintenance owners approve every strategy change.

Improve failure data

Expose missing failure codes, weak work-order detail, outdated documents, and unsupported ratings before they undermine the analysis.

Put approved knowledge to work

Search the manuals, drawings, procedures, and prior decisions behind each FMEA. Teams can verify the approved source before acting.

For metals reliability leaders

For teams responsible for FMEA quality, uptime, and maintenance strategy.

Plant, maintenance, reliability, and engineering leaders use one governed workflow while retaining control of every risk and maintenance decision.

Brownfield

Existing operations

Start with one production-critical system, its current FMEA, work orders, manuals, and known repeat failures.

Greenfield

New installations

Prepare a source-linked initial risk baseline from approved design and OEM evidence, keeping assumptions explicit until operating history exists.

Methods supported

Tacit AI can structure customer-reviewed work to IEC 60812 FMEA/FMECA practice, ISO 14224 taxonomies where appropriate, and SAE JA1011/JA1012 criteria when an RCM process is selected. These methods do not confer certification or replace plant engineering approval.

IEC 60812
ISO 14224
SAE JA1011/JA1012

Start with one system

Prove one critical-system FMEA before scaling.

Your sponsor and technical owner define the system boundary, approved sources, reviewers, baseline, and expansion criteria.

Phase 1

Set the FMEA boundary

Customer-defined

Select one critical system, the current analysis, known failure history, authoritative documents, and review method.

Gate
Proceed when scope, users, sources, and acceptance criteria are approved.

Phase 2

Run the pilot

Bounded deployment

Prepare a source-linked FMEA draft and coverage review. Capture accepted rows, corrections, assumptions, gaps, and reviewer effort.

Gate
Compare observed workflow and review outcomes with the agreed baseline.

Phase 3

Govern and decide

After customer review

Technical owners approve content and process changes. The economic buyer decides whether the measured capacity and risk benefit justify expansion.

Gate
Expand only to named assets, teams, and documents under the agreed controls.

Review one critical system

Bring the current FMEA, representative work orders, and the source documents your engineers trust.

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