About Bolo AI
Meet with the Team
Every Maintenance Job Needs a Plan Before A Wrench Turns.
Building that plan means hunting through 6+ systems for parts, procedures, history, and availability.
The Planner's Day — Building Order from Chaos
The planner processes incoming work requests daily, turning them into executable jobs. That means finding equipment records, building or reusing job plans, estimating labor and materials, and checking parts availability — across systems that don't share data.
The Daily Struggle
7 AM: Process the Backlog
New requests overnight, carryovers from yesterday, emergency add-ons — all competing for the same schedule.
8 AM: Scope the Job
One work order. Six systems. Pull equipment records, find the procedure, check parts, estimate hours.
10 AM: Hunt for History
How was this job done last time? If the last work order says "fixed pump," the planner starts from scratch.
All Day: Rebuild the Schedule
PMs, corrective work, and emergencies — all fighting for 85-90% of available craft hours. When something breaks, the whole plan shifts.
The Reliability Engineer's Day — Hunting for Answers
Find out what's failing, why it's failing, and how to stop it from happening again. Bad actor identification, root cause analysis, PM optimization — that's the real work. But 60-70% of their time goes to finding and formatting data, not analyzing it.
The Daily Struggle
7 AM: Check Overnight Alarms
Checking overnight alarms across 3 to 5 systems just to answer "what happened last night?"
8 AM: Morning Meeting
Someone asks "Why did Compressor C trip again?" The answer is in five systems. They need it in five seconds.
The Human Integration Layer
Pump P-4301 in the CMMS, tag PI:4301.PV in the historian, Asset #77412 in vibration — the engineer holds that mapping in their head.
15-25 Hours on Reporting
Exporting data from CMMS, historian, vibration system, and oil analysis reports into Excel — normalizing timestamps and equipment IDs that don't match
The Shared Frustrations
Data Quality Crisis
Work orders come back with "fixed pump" instead of real failure details.
The planner can't scope jobs and the RE can't analyze patterns — both stuck with the same bad data.
Lost Knowledge
The RCA from three years ago that answers today's question?
Buried in SharePoint. The corrective action the RE recommended? Sitting in a tracker, weeks overdue.
The Dashboard Trap
Management wants KPIs on their phone.
They won't fund the data cleanup. Shadow reports are built in Excel to fill the gap.

The Real Problem: Both roles were hired to plan and analyze. Instead, they spend most of their time hunting, extracting, and formatting data — one person covering thousands of assets, always behind, always knowing something is slipping through.
What If the Answers Were Already There?
For the Planner
BOLO AI reviews equipment history, parts, vendor specs, and past jobs — then recommends scope, materials, and steps before the planner starts. Six systems' worth of research, done.
For the Reliability Engineer
The morning briefing is ready at 6 AM. Bad actor reports that took a full day generate in minutes. RCA evidence that took 8 hours assembles in 30 minutes. Weekly reporting drops from 20+ hours to 3-5.
How BOLO AI Eliminates the Data Scavenger Hunt
One Platform. Every Answer. No More Hunting.
Ten Systems, One Answer
Every asset, every system, every history — in one place, the moment your team needs it.
Pilot in Weeks
Connect your systems, generate the reports, and let your team compare BOLO's output to what they built by hand.

The Bottom Line: One prevented failure pays for BOLO AI many times over. Your team doesn't need more screens to check. They need every screen to finally speak the same language.