Where AI Meets the Aircraft.
Governance. Analytics. Precision.
AI is entering aviation maintenance. But without governance, AI is a liability — not an asset.
The problem isn't AI capability. The problem is that no one is governing how AI interacts with aviation maintenance data — variant-specific procedures, revision-sensitive documentation, and safety-critical decision-making.
AVI bridges that gap.
IDA is AVI's decision intelligence engine. It transforms raw maintenance data into actionable operational insight using regression analysis and Bayesian inference. Most maintenance tracking systems tell you WHAT happened. IDA tells you WHY it happened, WHO caused it, WHAT it will cost, and HOW to prevent it.
IDA identifies which variables drive costly outcomes — training gaps, documentation failures, parts delays — before they become repeat events.
Every finding is translated into dollars. Not just what it cost today, but the potential exposure if it remains unresolved. Aviation decisions require dollar-figure clarity.
Bayesian inference continuously updates confidence levels as more maintenance events are captured. IDA creates a learning system that gets smarter with every data point.
The governance architecture behind IDA. Every task captured through four phases — creating the structured data that makes intelligent analysis possible.
AVI deploys to your facility, assesses your operation using PREP-QES-FACTS-DOC, and delivers a comprehensive governance report. Every finding classified by fault source — mechanic, AMM, OEM, or facility — tagged as gap or violation, with cost exposure quantified in dollars including potential risk for unresolved issues.
13 years A&P experience. Dassault Falcon factory trained — 7X, 8X, 2000EX/LXS. Bombardier Challenger 350. CRJ-200. AOG dispatch, contract maintenance, and pre-purchase inspections. Available for direct contract engagements.
Workshops that train your maintenance team on the PREP-QES-FACTS-DOC methodology. Your mechanics learn structured decision-making that reduces errors, improves documentation, and creates a culture of accountability.
Your AI platform needs aviation expertise to enter the maintenance market. AVI provides the regulatory knowledge, operational context, and safety validation that your engineering team cannot build from data alone.
AVI tests your AI system against real-world aviation scenarios — variant-specific procedures, effectivity ranges, revision sensitivity, and safety-critical decision points. We identify where your system fails before your customers do.
QES-FACTS provides the structured data model your platform is missing — mechanic decision-making, facility operational gaps, training deficiencies, and documentation failures. AVI helps you integrate this governance layer into your existing product.
AVI — Aeris Vector Intelligence — is an aviation decision intelligence company founded by Terron Williams.
With 13 years of A&P experience across AOG dispatch, line maintenance, and heavy checks on Dassault Falcon, Bombardier Challenger, and regional jet platforms, AVI combines hands-on maintenance expertise with systems-level governance architecture.
AVI exists because the aviation maintenance industry generates enormous amounts of data — but almost none of it captures WHY things go wrong, WHO is responsible, or HOW MUCH it actually costs. AVI's IDA engine and QES-FACTS methodology fill that gap, creating the governance layer that both human operations and AI systems require.
Whether you're an MRO looking to reduce operational risk, an AI company entering aviation, or an operator who wants to know where your maintenance dollars are going — AVI has the answer.