Human approval
SyncAI does not dispatch unsupervised work to the plant. Direct plant execute is disabled. Authorized work proceeds through the customer’s existing systems of record and operating authority.
Company
Governed intelligence for mining, energy, and oil and gas reliability.
SyncAI is offered by Stigg Security Inc., doing business as SyncAI. It helps reliability and maintenance teams investigate failures, prioritize work, and move recommendations through controlled human approval — using the evidence the operation already has.
The platform
An industrial intelligence layer above the systems you already run.
The common problem is not a shortage of data. It is converting fragmented technical evidence into a consistent, accountable next action at operating speed.
SyncAI connects approved knowledge, asset context, work history, and operating evidence so a recommendation can be reviewed. The basis stays visible. Uncertainty stays named. A human remains the approver.
Recommend is not authorize. Your team controls approval and execution.
Who it is for
Reliability teams in asset-intensive operations.
We focus on mining, energy, and oil and gas, and work with teams to establish the fit for their asset-intensive operations.
Mining & heavy equipment
Haul, load, and plant assets where work history, condition evidence, and production pressure rarely sit in one decision-ready place.
Read the industry fit →
Energy & utilities
Aging generation, transmission, and plant assets that need a defensible recommendation before any change to protection, outage, or work strategy.
Read the industry fit →
Oil & gas
Critical rotating and static equipment, fragmented work history, and backlog-driven prioritization that still require a named approver.
Read the industry fit →
The governed loop
Ask → Evidence → Recommend → Human decide → Verify
High-consequence industrial decisions should show their basis, expose uncertainty, keep authority clear, and verify the outcome.
01
Ask
Start with a real reliability or maintenance question: a trip pattern, a backlog call, a strategy review, or a failure that will not stay closed.
02
Evidence
Ground the question in approved procedures, asset context, work history, condition evidence, and the operating facts that can actually be shown.
03
Recommend
Structure a reviewable technical recommendation. Keep observed facts, hypotheses, competing explanations, and missing information distinct.
04
Human decide
A named person accepts, rejects, escalates, or returns the recommendation. Recommend is not authorize. Approval stays explicit.
05
Verify
Close the loop with the evidence and KPIs that show whether the intervention worked. Carry that record forward.
How it works
Designed for accountable operating decisions.
A shared decision workspace
This is not an open-ended chatbot on industrial data. The product is a decision workspace: evidence grades, competing explanations, and a lowest-regret next action a human can review.
Works beside your systems
CMMS, EAM, ERP, historian, and inspection systems remain systems of record. SyncAI is designed to sit across that estate, not rip and replace it. The longer argument is Why CMMS Alone Is Failing in 2026.
Platform and services
Start with one agent, the full platform or a focused evaluation, then extend across teams and sites with onboarding scoped to your operation. A Reliability Intelligence Assessment, focused pilot, or team training can support adoption when useful.
Who builds it
SyncAI is offered by Stigg Security Inc., doing business as SyncAI.
For product, purchasing, and implementation questions, contact oadavis@syncai.ca.
SyncAI is live today: governed specialist agents for reliability, planning, scheduling, condition monitoring, failure investigation, materials, turnarounds and asset strategy, each working from your evidence with a named person approving every decision. Access, scope and terms are agreed with your team. Assessments, pilots, and training are optional support.
How to start
Establish the reliability truth, then operationalize only what the evidence supports.
A 6–8 week Reliability Intelligence Assessment, built from customer-provided exports, with evidence-graded findings and a 90-day action plan.