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Know about production risks before they become delivery failures.
Turn fragmented factory signals into clear, evidence-backed production intelligence. We connect your structured ERP data with shop-floor WhatsApp communication to identify what went wrong, why it happened, and which customer orders are at risk.
BUILT FOR THE REALITY OF MODERN FACTORIES
Your factory already has the data. The problem is connecting it in time.
Important operational changes are often buried inside fragmented communication and structured systems. The problem isn't that factories use WhatsApp. The problem is fragmented operational context.
Machine Issue
Buried in a WhatsApp voice note from the floor.
Production Delay
Not updated in the ERP until the shift ends.
Work-Order Risk
Planning doesn't know capacity has dropped.
Delivery Failure
Customer escalates. Management finds out last.
From fragmented factory signals to one operational picture.
"Keep your factory workflow. Add intelligence to it." Xaiote is an intelligence layer over existing manufacturing workflows, designed to minimize workflow change.
What Xaiote is
Production-risk intelligence, root-cause investigation, and evidence-first decision support.
What Xaiote is NOT
Not an ERP replacement, not an MES replacement, not a generic chatbot. Designed to work with your existing systems, not replace them.
Structured Data
CSV, Excel, ERP exports
Xaiote Intelligence Layer
Entity resolution & impact analysis
Unstructured Signals
WhatsApp text & voice from the floor
The Intelligence Pipeline
Connecting fragmented factory signals into one evidence-backed risk decision.
From a shop-floor message to an order-level risk.
See how Xaiote interprets a real-world disruption step-by-step.
Illustrative demo scenario
Incoming Signal
ONE SHOP-FLOOR SIGNAL
ONE ORDER-LEVEL RISK DECISION
Evidence Chain
Every material risk should be explainable.
Xaiote does not simply output "High Risk". It constructs a reconstructable evidence chain.
You can always trace a risk state back to the exact operational event, the original transcript, the AI interpretation, and the specific human confirmation.
Don't stop at the machine. Understand the order.
A machine issue does not automatically mean every associated work order is at risk. Xaiote considers allocation, deadlines, remaining quantity, and production buffers.
Time-Aware Allocation
Understands exactly when an order needs the affected machine.
Delivery Deadline
Factors in the actual dispatch commitment, not just internal schedules.
Production Buffer
Knows if you have enough buffer to absorb a 4-hour breakdown.
Risk states reflect current evidence and business impact.
Orders do not blindly progress through every stage. Xaiote assigns deterministic states based on real-time disruption data.
No material disruption identified
Potential production impact identified
Evidence indicates delivery is likely affected
Severe operational impact requiring immediate attention
Give management the answer, not another data dump.
Know instantly which orders are at risk, why, and how much impact it will have.
| Order | Customer | Delivery | Risk State | Root Cause | Machine | Delay |
|---|---|---|---|---|---|---|
| WO-1045 | ABC Motors | Tomorrow | AT RISK | Spindle Failure | CNC-02 | 8h |
| WO-1048 | XYZ Auto | 2 days | DELAYED | Material Delay | — | 24h |
Human in the loop. Always.
Xaiote does not autonomously change critical production state or customer commitments.
Intelligence for every role
Owner / MD
Plant Head
Production
Maintenance
Designed initially for manufacturing environments
Works with the systems your factory already uses.
Connect fragmented factory signals into one operational picture.
Xaiote Intelligence
Evidence
AI does not create facts.
AI that understands factory context — strictly controlled by deterministic validation.
Business Logic
AI Can:
- • Extract entities (Machines, Parts)
- • Classify events and root causes
- • Interpret justified relative time
- • Suggest candidate relationships
- • Generate human-readable explanations
AI Must NOT:
- • Invent downtime or machine states
- • Invent delivery dates or customer impact
- • Directly mutate critical production state
- • Change customer commitments autonomously
Security, Trust & Governance
Tenant Isolation
Data is strictly isolated. Models do not train on your production data.
Verified Processing
Webhook verification, encryption in transit, and least-privilege architecture.
Audit Logging
Every action, validation, and human confirmation is securely logged.
Know when your data was last updated.
Stale data should never silently appear current. Xaiote shows exact freshness metadata and prioritizes recent verified events over old CSV imports.
Automation where confidence is high.
Human control where it matters.
Low confidence alerts demand explicit human confirmation. You always have the ability to confirm, reject, edit, or override system assessments.
Measure the operational value of earlier visibility.
Evaluate Xaiote during a pilot by measuring tangible improvements in operational latency.
From Production Visibility to a Manufacturing Intelligence OS.
Xaiote's current foundation is deterministic risk detection. The future is an autonomous operational nervous system for the factory floor.
Intelligence
Intelligence
Intelligence
Manufacturing Intelligence OS
Predictive Maintenance • Machine Control • Delay Prediction • Recovery Recommendations • Direct ERP/IoT APIs
Know what needs attention before the delivery date does.
Connect your production data and shop-floor signals. Turn fragmented operational information into evidence-backed production intelligence.