Aware, Context-sensitive, relentless in protecting your dispatch reliability.
<2s
Response Latency
94%
Compliance Accuracy
40%
Faster Troubleshooting
99.98%
System Availability
96.8%
Intent Routing Accuracy
Explainable
AI Controller
Closed-loop, auditable decisions
Symbolic rules, probabilistic risk scores, and reinforcement learning in a single control loop.
Compliance checks with confidence thresholds and human-in-the-loop fallback.
Full auditability: rule trace, data lineage, confidence vector, and decision logs.
Orchestration
& Data Intelligence
Plans, executes, and validates
Multi-tool planning with parallel SQL, vector search, and dependency-aware execution.
Safety guardrails: role-based access, compliance mode, and automatic escalation for critical cases.
Optimized query strategy that reduces latency and keeps outputs consistent and fully grounded in your data.
Learning
Knowledge Layer
Real-time operational memory
Unified embeddings for similarity search, case recall, and pattern matching.
Continuously updates from events, actions, defects—no heavy retraining cycles.
Identifies recurrence patterns, reliability gaps, and early hot-spot trends before they impact the system.
Modern technical operation generates thousands of daily data points—where critical patterns often hide in plain sight.
rectifAI is the AI-powered maintenance controller that finds them.
By continuously analyzing technical events, delays, defects, and part transactions, it detects recurrence patterns, system failure trends, and non-compliant deferrals—well before they impact dispatch reliability.
These insights and performance summaries—including MTBUR, deferral trend analysis, closure patterns, and high-impact components—are delivered directly to your Synops dashboards.
No manual analysis. No data mining. No delays. Just real-time intelligence that protects your dispatch reliability.
Technical Knowledge as an Asset
rectifAI transforms every maintenance action into organizational intelligence — learning from your real-world data to make every future decision faster, smarter, and more consistent.
rectifAI is deployed with a data-sovereign architecture — all operational data, events, and analysis remain within your organization’s controlled environment. There is no data sharing, no external training, and no exposure to public AI models. rectifAI learns exclusively from your fleet and maintenance history, ensuring insights are fully private and tailored to your operation.
Your data, your models, and your competitive advantage
rectifAI empowers that ownership with a secure, private, and fully compliant ecosystem.
AI “double-check” for High-Impact Decisions
rectifAI adds an AI-powered verification layer to your MCC workflows. Whenever an MEL is applied or removed, a technical delay is received, or an engineering disposition is requested, rectifAI can be invoked to “double-check” the decision against the data already connected to Synops: open defects, MEL and event history, recent repeats, basic compliance constraints, and upcoming visit plans.
The human still makes the call—but every high-impact decision can be backed by a fast, objective verification pass that reduces non-compliance risk and catches issues before they turn into downstream disruptions.