FMECA and RCM software. Every work order makes a better FMECA.


Results from current maintenance & reliability deployments

80-90%
draft-ready on first delivery
FMECA projects
15.3%
less unplanned downtime
Top 10 Global Pharma
Live
updates from new work orders
Mining crusher circuit
100%
traced to source documents
All deployments
Continuous
gap detection from field data
Across all deployments
7 gaps
critical risks no one saw
Top 10 pharma

The Gap

The data exists. The analysis doesn’t.

Failure modes hiding in plain sight. PM schedules based on assumptions, not evidence.

When work-order evidence stays unstructured, recurring failures stay hidden and PM intervals can’t be defended.



01
“Our work orders are a mess. Where do I start?”

Work orders scored, structured, and linked to failure modes.

Sync work orders from SAP PM, Maximo, IFS or any CMMS. Failure modes extracted, quality scored, bad actors ranked.

Data Quality Scoring
Failure Extraction
Topology Identification
Bad Actor Ranking
Document Intelligence

Work order intelligence – data quality scoring and failure extraction

02
“What are the credible failure modes for this equipment?”

Start from a full, cited FMECA and RCM analysis, not a blank worksheet.

Reliability-centered maintenance (RCM) to SAE JA1011. Failure modes from function loss, cause-effect chains, tasks and work instructions. SAP handoff built in.

FMEA & FMECA
Function & Failure Analysis
RCM (SAE JA1011)
Work Instructions
RCM-SAP Export

FMEA generation with bathtub curve and failure mode analysis

03
“Monthly or quarterly - which schedule is justified?”

Use failure evidence to challenge PM intervals and task choices.

Weibull, P-F curves and scenarios on your failure history. Compare strategies and size spares. Engineers approve.

Weibull Analysis
PF Curves
Scenario Modeling
Critical Spares

Weibull analysis with fleet failure distribution

04
“What failed on this pump last year?”

“What failed on this pump last year?” Answered, with sources.

Ask by voice or text. Search work orders, manuals and FMEAs in plain language. Every answer cites its source.

Work Order Search
FMEA Editing
Cited Answers
40+ Languages

AI companion for reliability – natural language analysis

05
“We have 5,000 assets. Do I need 5,000 FMEAs?”

Analyze the class once. Roll it out across the fleet.

Group equipment by class, keep every site difference, roll approved content out. Local owners confirm.

Equipment Class Grouping
Fleet Propagation
Taxonomy Standardization
Cross-Site Alignment

Equipment hierarchy and standardization across sites

06
“Will it give me the same answer next time?”

Preserve approved corrections and the context behind them.

Every correction and decision becomes knowledge you own, reused openly on comparable equipment.

Context Memory
Correction Propagation
Analyst Consistency
Audit Trail

Persistent learning – corrections remembered across sessions

What You Get

See the maintenance risks your current analysis doesn’t cover.

FMECA

Engineer-Ready FMECA

Source-linked FMECA to IEC 60812 or SAE J1739, on an ISO 14224 taxonomy.

Risk

Prioritized Risk Report

Top failure modes by RPN, frequency and downtime.

PM

PM Intervals Backed by Evidence

Weibull and P-F analysis to set intervals on evidence.

DQ

CMMS Data Quality, Scored

Every work order scored. Capture gaps surface before they skew the analysis.

Spares

Critical Spares Analysis

Spares sized on failure frequency, lead time and criticality.

RBD

Availability Modeling

Reliability block diagrams and Monte Carlo, assumptions visible.

Source

Full Source Traceability

Every row linked to its work order, manual or inspection.

Hierarchy

Standardized Equipment Hierarchies

Equipment classes aligned to ISO 14224 across sites. A standalone deliverable.

Loop

Closed-Loop CMMS Feedback

New work orders matched to FMECA rows. Repeat failures and weak PM flagged.

Pass your engineers’ review → scale site-wide.

Maturity model

Meet your team where they are.

From no risk strategy to a living FMECA that feeds work orders and inspections.

L0
Reactive
No structured risk strategy. FMEAs don’t exist or are checkbox exercises.

Data Quality
FMEA / FMECA
Dynamic Updates
Taxonomies
Optimization

L1
Basic
Static FMEAs in spreadsheets, rarely updated. Tribal knowledge, lost when people leave.

Data Quality
FMEA / FMECA
Dynamic Updates
Taxonomies
Optimization

L2
Connected
Work orders, manuals and inspections build a full, source-linked FMECA.

Data Quality
FMEA / FMECA
Dynamic Updates
Taxonomies
Optimization

L3
Dynamic
New work orders flag every affected FMECA and PM row. Owners approve.

Data Quality
FMEA / FMECA
Dynamic Updates
Taxonomies
Optimization

L4
Closed-Loop
Risk, strategy and field evidence in one governed loop with full history.

Data Quality
FMEA / FMECA
Dynamic Updates
Taxonomies
Optimization

Questions

Maintenance & reliability questions, answered.

Condition monitoring tells you the current state. FMECA and RCM tell you which failure modes matter, what they cost and which task fits. Tacit AI connects the two and shows reliability engineers exactly where monitoring coverage falls short of the risk strategy.

Tacit AI reads free text, abbreviations, inconsistent terminology and records in 40+ languages. It scores missing identity, dates, failure coding and operating context before analysis. In one pharma engagement, completeness rose from 32% to 73% on the customer’s own scoring method.

Tacit AI finds recurring patterns across equipment identity, symptoms, failure modes, causes, frequency and consequence, even when descriptions differ. Reliability engineers confirm the grouping and causality. In one mining project, the customer identified and resolved 3 repeat events.

Yes. Tacit AI checks existing PM tasks against failure modes, evidence, consequence and current controls, then pinpoints gaps, overlaps and interval changes. Reliability, Maintenance, Safety and Operations owners approve every change. In one automotive engagement, the customer removed 26% of non-value-adding PM.

RCM is a methodology. Tacit AI does the heavy lifting inside it: evidence preparation, the full FMECA and decision-path documentation against criteria such as SAE JA1011. Your facilitators and asset owners make the operating-context, consequence, task-selection and approval calls.

Yes. Dictate in the chat in 40+ languages, or talk to the live voice agent. Tacit AI turns what you say into cell-level FMECA changes, each with its reasoning and source. Your engineers approve, edit or reject every row, and approved changes export to Excel or a file in your CMMS format. Attach workshop notes or a meeting transcript and you get the same reviewable changes.

Yes. Assets are organized by equipment class with manufacturer, model, duty, configuration, environment and site differences preserved. Approved content rolls out to comparable instances, never blindly to every serial number, and local owners confirm each one.


Pick one critical system.
Watch connected evidence change the decision.

Bring one manual. See what yours missed.

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