Chemical manufacturing

Stop paying twice for the same equipment failure.

Turn maintenance history, engineering records, and operating context into source-linked FMEAs and review-ready links to PHA, HAZOP, and MOC workflows. Reduce repeat loss while Reliability, Operations, Engineering, and Process Safety retain approval.

<3 weeks
to first scoped FMEA draft
Named review
required before controlled release
Every row
linked to source evidence

From repeat loss to governed action

See which failures drive production loss—and what needs to change.

Quantify repeat-failure exposure

Rank systems by recurrence, downtime, production consequence, and repair burden. Every priority exposes its source records, data limitations, and assumptions—so leadership can fund the right intervention.

Start with an engineer-ready FMEA

Generate functions, failure modes, effects, causes, controls, ratings, and maintenance implications from approved plant evidence. Engineers challenge a cited draft instead of starting with a blank worksheet.

Bring field evidence into PHA and HAZOP review

Relate recurring failures and ineffective controls to relevant approved scenarios. Potential impacts are flagged for specialist reassessment; PHA and HAZOP owners decide whether analysis or safeguards must change.

Know what an MOC could affect before approval

Compare proposed changes in material, duty, operating envelope, configuration, or controls with existing equipment-risk content. Affected items are surfaced for review; your MOC team controls scope, studies, and approval.

Scale proven learning without flattening site differences

Propose approved content for comparable assets while chemistry, duty, safeguards, configuration, environment, and operating practice remain explicit. Each receiving site reviews applicability before acceptance.

Deploy inside enterprise controls

Run in your VPC or on-premise with a dedicated database, encryption, MFA, role-based access, and a full audit trail. Controlled integrations keep proposals separate from approved plant records until release.

Low-risk path to value

Prove the business case on one recurring failure—in weeks.

Baseline

One system. One measurable loss.

Choose a repeat event or critical system and baseline current analysis effort, recurrence, downtime, or production impact. Use a controlled set of records your specialists already trust.

Decision package

A cited draft your team can challenge

Receive repeat-failure patterns, an equipment FMEA draft, potential process-risk links, and a complete review record. Measure coverage, corrections, acceptance, and engineering hours against the baseline.

One evidence base, accountable decisions

Plant leadership sees the exposure. Specialists see the evidence.

Give Plant, Operations, Reliability, Maintenance, Engineering, and Process Safety a shared view of repeat risk without blurring technical authority or approval rights.

Operating plant

Stop recurrence before the next production loss

Compare maintenance history with engineering and process-safety evidence. Surface missing failure modes, ineffective controls, and maintenance gaps for controlled review.

New or changed process

Expose equipment-risk gaps before startup

Build a source-linked equipment-risk draft from design documents, OEM information, operating envelopes, and process-risk outputs. Technical and Process Safety owners determine acceptance.

Built for controlled chemical-plant workflows

Structure evidence using the methods and taxonomies your site selects. Tacit AI accelerates preparation, traceability, and review; qualified personnel retain responsibility for applicability, analysis, approval, and compliance.

IEC 60812 methodology
IEC 61882 HAZOP method
ISO 14224 taxonomy, where applicable
OSHA PSM context, where applicable
EPA RMP context, where applicable

Scoped enterprise pilot

One system. Named reviewers. Measurable decision value.

Start inside your existing governance. Your team defines the decision, evidence boundary, baseline, reviewers, output status, and expansion criteria before analysis begins.

Scope

Choose the decision

Customer-defined

Select one critical system or repeat event, a measurable business baseline, approved sources, exclusions, and named Reliability and Process Safety reviewers.

Deliverable
Approved scope, baseline, evidence inventory, intended use, and review criteria.

Validate

Build and challenge

Bounded pilot

Tacit AI prepares repeat-failure patterns, cited FMEA content, and potential impact links. Named specialists accept, revise, or reject each proposal.

Decision
Compare coverage, traceability, corrections, acceptance, and review hours with the baseline.

Expand

Govern and scale

After validation

Move accepted content through site controls. Add units or sites only after reviewing chemistry, duty, safeguards, configuration, operating practice, and regulatory differences.

Decision
Expand only when measured value and governance satisfy the named business and technical owners.

Scope a critical-system pilot

Bring one repeat event, the current FMEA, representative maintenance records, and any relevant approved PHA, HAZOP, or MOC references.

Enterprise FAQ

Technical and deployment questions, answered.

Tacit AI connects approved equipment evidence and FMEA content to potentially relevant PHA, HAZOP, and MOC items for specialist review. It does not perform or approve those workflows, establish PSM or RMP compliance, or change controlled records autonomously. Your qualified personnel retain technical authority and regulatory responsibility.

Start with one critical system and a controlled export of representative work orders or notifications. Add the current FMEA, manuals, engineering records, operating context, and relevant approved PHA, HAZOP, or MOC references where available. Missing and inconsistent fields are scored and surfaced; perfect CMMS data is not required.

Not without your governed release process. Tacit AI proposes specific, source-linked changes for named reviewers to approve or reject. Accepted content can be exported or integrated using customer-defined mappings, validation, segregation of duties, and authorization. Every decision remains in the audit trail.

Approved content can be proposed as a starting point. Each receiving team reviews process chemistry, duty, safeguards, equipment configuration, operating practice, environment, and jurisdiction before accepting it.

Deploy in your VPC on Azure, AWS, or GCP, or on-premise, with a dedicated database per customer. Encryption at rest and in transit, MFA, role-based access, and full audit logging are supported. Your data can use your cloud provider’s AI service with zero retention and without passing through Tacit AI servers.

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