Autonomous operations for manufacturing – where downtime costs €125,000 an hour.
Industrial operations generate more data than any team can monitor manually. Legacy automation follows rules that were defined at deployment time and cannot adapt. Xautomata changes the equation: it models the behaviour of your production systems, detects deviations in real time, and acts – before the line stops, before the defect propagates, before the energy spike translates into cost.
The Challenge
Despite years of investment in detection tools and automation, manufacturing enterprises still lose margin to operational inefficiencies that automation alone cannot fix. The root causes are structural:
Fragmented Intelligence
Tools fail to share context or decision logic across IT, OT, and security layers. Each system sees its own slice of reality – none sees the full picture.
Reactive Operations
Detection happens without governed action. Issues are addressed only after business impact – after the stoppage, after the defect, after the energy waste has already occurred.
The Automation Tax
Manual triage and automation sprawl drain operational capacity. Margin leakage compounds across rework, downtime, and poor cross-system coordination.
The hidden cost of legacy automation
Three structural inefficiencies show up consistently across plants where rule-based automation has reached its ceiling.
15–25%
overhead in IT/Operations tied to manual triage and automation sprawl
5–15%
margin leakage from rework, downtime, and poor coordination
3–4%
capex waste from sub-optimal schedules and reactive fixes
Use Cases
Predictive Maintenance & Production Continuity
XA agents model the behaviour of production machinery using historical and real-time telemetry. They generate maintenance tickets based on anticipated anomalies – not on failure – and automatically coordinate field technicians and end customers through a controlled, supervised process.
75%
tickets handled automatically
€250K+
annual cost reduction
€650K
avoided downtime / year
Quality Deviation Detection & Automated Response
XA agents monitor the production cycle in real time, collecting data directly from the line. They automatically identify deviations from optimal process parameters and activate corrective actions or targeted alerts – orchestrating quality controls and feeding the ML model for continuous improvement.
−3%
reduction in energy consumption
+4%
production team efficiency
Energy & Resource Optimisation
Xautomata builds a simulation model of your energy consumption patterns, production load, and resource allocation. Autonomous agents adjust consumption schedules based on real-time demand, triggering alerts and actions before sub-optimal conditions compound into waste.
Real-time
demand-driven consumption
ESG-ready
audit-grade reporting
Customer Service Optimisation for Equipment Manufacturers
For manufacturers of industrial systems, Xautomata prioritises and automates the management of post-sales assistance requests – from initial diagnosis to spare parts logistics. Operators are activated only when necessary, supported by specific instructions and contextual information.
−15%
reduction in machine downtime
−20%
extraordinary maintenance costs
+16%
customer service team efficiency
Logistics & AMR Orchestration
Xautomata acts as the orchestration layer for Autonomous Mobile Robot fleets in warehouses and intralogistics environments. It optimises routes in real time, reduces empty trips, and monitors robot anomalies – maximising throughput without increasing fleet size.
−2%
empty loads / year
+3.15%
productivity (~€600K/year)
Controlled autonomy
What runs, what doesn’t
Every action of Xautomata is traced, auditable, and reversible. The platform acts only where the rules are clear and the context is verified. Everything else escalates – with full diagnostic context attached.
What Xautomata handles autonomously
- Production Continuity: detects line deviations and triggers corrective actions before stoppage occurs
- Energy & Resource Optimisation: adjusts consumption schedules based on real-time demand and production load
- Incident Routing: correlates alarms across OT/IT systems and routes to the right team with full diagnostic context
- Quality Deviation Response: flags parameter drift and activates process adjustments before defects propagate
- Compliance & Audit Trail: continuously monitors against operational rules and generates audit-ready logs
Where humans stay in the loop
- Process parameter changes that affect product specifications or safety
- Actions outside pre-approved operational boundaries, or triggering supplier/customer notifications
- Decisions requiring cross-functional validation – line shutdown, product hold
Success story
Profilglass Aluminium
Profilglass, a leading aluminium transformation company, deployed Xautomata’s autonomous agents to monitor the production cycle in real time. Using historical data, the Behavioral Model simulates potential scenarios and selects the next controlled action dynamically – with a 45-day time-to-value.
Approximately 90% of the initial project time was devoted to data analysis and ML model training. The model was then continuously monitored against agreed business rules, ensuring maximum scalability across all production transformation processes.
−94%
Reduction in cracking defects
€700K
Additional annual profits from productivity gains
+3.7%
Annual energy saving, equivalent to approximately €1M
Key Benefits – Manufacturing
Reduce unplanned downtime and its cascading costs on production and customer commitments
Improve OEE without increasing headcount
Achieve measurable energy savings aligned to ESG targets and regulatory reporting requirements
Scale active maintenance services without scaling field staff
Full audit trail for production compliance, quality documentation, and ISO reporting
Explore the manufacturing applications of Xautomata.
Talk to our team about your plant, your KPIs, and how Xautomata fits inside your operations stack.