CAMP Systems, West Star Bring Predictive Ops to the Hangar
West Star Aviation is the launch partner for CAMP Systems International's AI Operations Manager, a predictive intelligence tool integrated with Corridor for MRO facilities. The goal is simple: remove friction from planning, staffing, parts, and quality so turn times are faster and quotes are tighter.
"Automation and AI are ushering in a new era in aviation maintenance," said Peter Velikin, general manager, CAMP enterprise information systems. "With our patented AI models, the AI Operations Manager ensures faster turnarounds, consistent quality, and smarter utilization of assets, all driven by a service center's own historical ERP data."
What operations teams get on day one
- Stronger planning and quoting: The system analyzes aircraft history, routing, and component age to predict likely findings. Teams can pre-stage parts, assign the right techs, and quote tighter windows with less buffer.
- Fewer quality escapes: Mechanics get task-specific warnings, checklists, and quick training aids (including video). AI acts as a "second opinion" for troubleshooting complex squawks.
- Component and pricing analytics: Data-driven estimates for repairs and overhauls help align price with risk and effort. Tying operational context to failure modes is on the horizon, with privacy safeguards front and center.
- Instant insight from unstructured data: Beyond dashboards, the tool spots trends and correlations across work orders, notes, and attachments to pinpoint bottlenecks and improve margin per slot.
Why this fits aviation's constraints
Aviation is highly regulated, which means AI must be deployed with controls. CAMP's partnerships with aircraft OEM maintenance programs and service centers provide the data foundation, while customer data boundaries remain enforced.
The company segregates owner-generated data from partner MRO data and focuses on proper implementation, auditability, and operational relevance. As Velikin put it, the aim is to "transform MRO operations" without compromising trust.
For context on regulatory requirements, see FAA 14 CFR Part 145.
Where this moves the needle
- Turnaround time (TAT): Less idle time waiting on parts or approvals.
- Schedule fidelity: Fewer slips from surprise findings.
- Labor utilization: Better alignment of skill to task and shift.
- Rework rate: Targeted guidance reduces escapes and callbacks.
- Quote accuracy: Tighter variance between estimate and actuals.
- Inventory exposure: Pre-stage what's likely, not everything.
How to roll it out without slowing the floor
- Pick a narrow slice: Start with a specific inspection package or aircraft type to prove value.
- Prep your data: Clean work codes, normalize findings, and map parts to tasks for Corridor.
- Set guardrails: Keep human-in-the-loop approvals for quotes, deferrals, and escalations.
- Enable the front line: Short video briefs for planners and leads; task-level prompts for techs.
- Track a small KPI set: TAT, rework rate, quote variance, pre-stage hit rate, and WIP aging.
- Close the loop: Capture misses and feed them back to refine models weekly.
Data governance and workforce impact
- Privacy: Segregate owner and partner data; document data rights and usage.
- Auditability: Keep a trail of model recommendations and human decisions.
- Model health: Monitor drift and retrain against seasonal and fleet changes.
- Change management: Position AI as augmentation-fewer surprises, safer work, better schedules.
What leaders are saying
"The aviation industry is at an inflection point where predictive technologies will define competitive advantage," said CAMP Systems president and CEO Sean Lanagan. "With AI Operations Manager, CAMP is leading that shift by helping our customers move to a more strategic, data-driven approach to maintenance."
"West Star Aviation is committed to embracing innovative approaches that improve our service," said West Star Aviation president and COO Allen McReynolds. "This partnership with Corridor enables us to accurately anticipate operational requirements, increase efficiency, and uphold our promise of timely delivery to customers."
Bottom line for ops leaders
If your team fights schedule variance, rework, and hidden findings, predictive planning will recover hours and reduce guesswork. Start small, measure aggressively, and expand where the data proves out.
If you're building skills for AI-enabled operations, explore practical training for ops teams here: AI courses by job role.
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