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Where it fits

Mining, energy, and oil and gas first.

SyncAI is governed industrial intelligence: recommend → evidence → named human approval → work → verify. The beachhead is reliability and maintenance work in mining, energy, and oil and gas — not a catalog of live industry templates.

The operating model

The same governed path in every beachhead operation.

SyncAI does not autonomously coordinate the plant. It does not file regulatory submittals. It does not provision a vertical tenant in 60 seconds. Recommendations stay reviewable, and a named human remains the approver.

01

Recommend

Structure a technical recommendation from approved knowledge, asset context, work history, and operating evidence.

02

Evidence

Keep observed facts, assumptions, competing explanations, and missing information distinct and reviewable.

03

Named human approval

A named person accepts, rejects, escalates, or returns the recommendation. Direct plant execute is disabled.

04

Work

Authorized work proceeds through the customer’s existing systems of record and operating authority — not through an unsupervised agent.

05

Verify

Close the loop with the evidence and KPIs that show whether the intervention worked.

Beachhead

Three operating environments we will take first.

The common problem is not a shortage of data. It is converting fragmented technical evidence into consistent, accountable decisions — with approval still explicit.

Mining & heavy equipment

Haul, load, and plant assets generate work history, condition evidence, and production pressure that rarely sit in one decision-ready place. Teams still have to investigate failures, rank work, and defend the next action.

Where SyncAI fits

  • Failure investigation against work history and condition evidence
  • Risk-based work prioritization recommendations
  • Maintenance strategy review with explicit evidence grades
  • Decision records that stay reviewable after the shift ends

Energy & utilities

Aging generation, transmission, and plant assets raise reliability questions that outpace calendar PM and manual reporting. The need is a defensible recommendation, not an unsupervised dispatch.

Where SyncAI fits

  • Evidence-led reliability analysis on a bounded asset domain
  • Prioritization support that names what the records prove — and what they do not
  • Approval boundaries before any change to protection, outage, or work strategy
  • Outcome verification against the KPI the operator already uses

Oil & gas

Critical rotating and static equipment, fragmented work history, and backlog-driven prioritization make it hard to convert technical evidence into an accountable next action.

Where SyncAI fits

  • Governed recommendations for investigation and work priority
  • Separation of established facts from unproven failure modes
  • Named human authority before work is released
  • Traceability from evidence to the decision that was actually taken

Later, not live

Other asset-intensive industries can wait.

These environments share the same class of reliability problem. They are not live industry templates, and this page does not offer a deploy button for them.

Manufacturing
Transportation & fleets
Infrastructure & facilities

SyncAI is not production-certified. There are no live production CMMS, historian, or ERP connectors on this path. There are no named customer savings on this page. Assessment and pilot work starts from customer-provided records and a bounded operating question.

How to start

One bounded entry product.

SyncAI uses one bounded entry product: a 6–8 week Reliability Intelligence Assessment, built from customer-provided exports, with evidence-graded findings and a 90-day action plan.