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REV 2026.04 · Q2 MANAGED-SERVICE SLOTS: 2 OF 3 REMAINING
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From SCADA noise to operator decisions — and executed automatically.

Predictive maintenance, operational dashboards, and efficiency analytics from Advanced Mechanix. AI-powered scheduling and workforce optimization from our sister platform OptiScheduleAI. Together: insight plus execution, end-to-end.

PI / Wonderware Maximo / SAP PM Power BI / Tableau AI Scheduling Shutdown Planning Workforce Optimization
Operational analytics dashboard
§01 — Overview

Analytics finds the optimization. Scheduling executes it.

Every mining and industrial operation sits on terabytes of tag data that no one has time to mine — and even when the analysis surfaces the right move, manually rescheduling a shutdown or reallocating a workforce takes weeks. Two bottlenecks, one problem.

Advanced Mechanix handles the analysis layer: predictive models, operational dashboards, reporting pipelines on top of your existing historian. Our sister platform OptiScheduleAI handles the execution layer: AI-generated work schedules, shutdown plans, and workforce allocations in minutes instead of weeks.

  • Read-only integration with your historian & SCADA
  • Predictive models validated by your domain experts
  • AI scheduling with bidirectional SAP sync
  • Analytics pilot in 4–6 weeks; scheduling ROI in < 60 days
§02 — Capabilities

Two layers, one optimization stack.

Predictive Maintenance

Failure-mode targeted models trained on your historian data. 20–35% downtime reduction typical within 6 months.

Operational Dashboards

Operator-grade dashboards in Power BI, Tableau, or Grafana. Role-specific views for control room, supervisors, execs.

Efficiency Analytics

Throughput, energy, and OEE analytics that identify bottlenecks and quantify recovery opportunities.

AI Scheduling via OptiScheduleAI

Four weeks of manual planning collapsed into a five-minute AI output. Generates optimized work schedules, reschedules in 20 seconds when disruptions hit.

Shutdown & Outage Planning via OptiScheduleAI

Mining turnarounds, refinery shutdowns, grid outages — planned to the hour with constraint enforcement and auto-compliance.

Workforce Optimization via OptiScheduleAI

Labor-requirement optimization with real-time Gantt feedback. Typical deployments reduce labor overhead 20–50% per operation.

§03 — The Execution Layer

Meet OptiScheduleAI — our sister platform for AI-powered industrial scheduling.

Predictive analytics tells you what to do. OptiScheduleAI does it. A multi-agent AI architecture that replaces manual scheduling with optimized output in minutes.

How the integration works

From insight to executed schedule — one workflow.

  1. Analytics surfaces the trigger. Predictive model flags a bearing failure risk, or efficiency analytics identifies a throughput bottleneck.
  2. OptiScheduleAI ingests the signal. Bidirectional SAP / CMMS sync pulls the maintenance order, work breakdown, and constraints.
  3. The AI schedules it. Billions of combinations evaluated, constraints auto-enforced. First-issue output passes 99%+ of the time.
  4. Disruption? Replan in 20 seconds. Drag-and-drop Gantt with real-time labor and cost impact feedback.
Where OSA fits your operation

Use-case targets across mining & industrial.

  • → Mining shutdowns & turnarounds — hour-level planning, constraint enforcement, equipment-availability coordination.
  • → Refinery & petrochemical turnarounds — thousands of concurrent tasks, tight critical paths, change-driven replanning.
  • → Preventive maintenance scheduling — auto-generated from predictive-model outputs, balanced against labor availability.
  • → Grid & utility outage planning — scheduled maintenance coordinated with load forecasting and crew availability.
  • → Offshore & remote-site scheduling — helicopter rotations, crew changes, weather-driven rescheduling.
Visit OptiScheduleAI → OSA ROI Calculator See a deployed case study
§04 — Outcomes

What the combined stack delivers.

Analytics alone moves downtime and maintenance spend. Scheduling alone moves labor and shutdown cost. Together, they compound.

30%+
Unplanned downtime reduction (analytics)
20–50%
Workforce efficiency gain (OSA)
~$1.8M
Avg. savings per shutdown (OSA verified)
< 60 day
ROI timeline (OSA deployments)

Analytics stats: AM managed-service engagements (6-month average). Scheduling stats: OptiScheduleAI verified deployments.

Pilot
Fee
Refunded

Scope a 4-week pilot. Refund if it doesn't prove value.

We scope an analytics pilot covering one use case and one dashboard. If the findings don't justify continuing to production — or don't justify extending to OptiScheduleAI scheduling — we refund the pilot fee in full.

We can afford this because the historian almost always holds at least one six-figure optimization. One pilot exposes it.

Scope a Pilot
§05 — FAQ

Questions operations leaders ask us

What data sources can you integrate with?
Historians (PI, Wonderware, GE Proficy), SCADA systems, CMMS (Maximo, SAP PM), ERP, MES, and custom OT data sources. Read-only integration by default with client-controlled data egress. OptiScheduleAI adds bidirectional SAP sync for the scheduling layer.
How does the AI scheduling integration work?
Our analytics layer identifies what to optimize — a failure risk surfaced by a predictive model, a throughput bottleneck identified by efficiency analytics, a maintenance backlog pulled from the CMMS. OptiScheduleAI takes that signal and generates an executed schedule: optimized work orders, shutdown plans, or workforce allocations. The two layers share a common SAP / CMMS integration path. You can run them independently or as a combined stack.
How do you handle sensitive operational data?
NDAs, encrypted workspaces, role-segregated engineer access. We can run entirely inside your environment (VDI, cloud tenant) with no data leaving your network. All engineers bound by individual confidentiality agreements.
How long does a typical pilot take?
Analytics pilot: 4–6 weeks for data ingestion, one predictive model, and one operational dashboard. OptiScheduleAI scheduling pilot: typically under 60 days to first documented ROI, including integration with your SAP / CMMS and a shadow-mode validation period against your current scheduling process.
Do you build dashboards we can maintain internally?
Yes. We build on Power BI, Tableau, or Grafana with full knowledge transfer. Dashboards are yours to maintain, or we can operate them on retainer. OptiScheduleAI provides its own operator-grade Gantt interface plus dashboard export to your BI platform.
What outcomes are typical from analytics + scheduling together?
Analytics alone: 20–35% reduction in unplanned downtime within 6 months, 15–25% reduction in maintenance spend. Adding OptiScheduleAI execution: 20–50% workforce efficiency gain, shutdown-planning cycle reduced from weeks to minutes, and documented shutdown savings averaging around $1.8M per event across verified deployments. Combined stack compounds both.
Can we start with just analytics, then add scheduling later?
Yes — that's the most common path. Analytics pilot first validates the data foundation; once predictive models and dashboards are producing clear optimization targets, OptiScheduleAI scheduling is layered in to execute them. Each layer stands alone; combining them compounds the return.

Your historian has the answers. OptiScheduleAI executes them.

Scope a 4-week analytics pilot. Add scheduling when the findings are clear. Refund if it doesn't prove value.

Book Analytics Call Visit OptiScheduleAI