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AI Automations

Build custom automations with InfluxDB telemetry monitoring and MCP ROS2 integration. Create streams, queries, and agent hooks to trigger ROS 2 actionsβ€”from simple data flows to sophisticated multi-step workflows that respond to real-time robot conditions.

How it works: From first sensor to fleet deployment - one platform to connect, simulate and automate. Connect with WiseOS, control via ROS 2, validate in Digital Twins, ship with AI Automations.

Automation Engine

πŸ“Š InfluxDB Telemetry Monitoring

Monitor robot health, performance metrics, and environmental data with high-resolution time-series storage. Set thresholds, detect anomalies, and trigger automated responses.

InfluxDB

πŸ”— MCP ROS2 Integration

Seamlessly connect monitoring data to robot actions through the Model Context Protocol. Natural language commands become executable ROS 2 workflows.

MCP ROS2

⚑ Real-time Streams & Queries

Build custom data streams with InfluxDB queries that automatically trigger ROS 2 actions when conditions are met. From sensor thresholds to complex behavioral patterns.

Flux Queries

Workflow Capabilities

Agent Hook System

Create intelligent hooks that monitor specific robot behaviors, telemetry patterns, or environmental conditions. When triggered, automatically execute predefined ROS 2 action sequences.

  • Battery level automation
  • Performance optimization triggers
  • Safety threshold responses
  • Maintenance scheduling

Multi-step Workflows

  • Data Collection from multiple robot sensors
  • Pattern Recognition using InfluxDB analytics
  • Decision Logic through MCP AI agents
  • Action Execution via ROS 2 commands
  • Feedback Loops for continuous optimization

Automation Examples

Real-world automation scenarios powered by AI intelligence

πŸ”‹

Smart Battery Management

Monitor battery levels across robot fleets. Automatically route robots to charging stations when thresholds are reached, optimizing uptime and preventing downtime.

InfluxDB + ROS 2 Actions
πŸ›‘οΈ

Safety Response System

Real-time monitoring of safety sensors and environmental conditions. Instantly trigger emergency stops, retreat sequences, or operator alerts when anomalies are detected.

Real-time Streams + Agent Hooks
πŸ“ˆ

Performance Optimization

Analyze robot performance metrics over time. Automatically adjust parameters, suggest maintenance, or optimize path planning based on historical data patterns.

MCP AI + Flux Queries

Custom Automation Builder

No-code visual interface for creating sophisticated automation workflows. Drag and drop conditions, actions, and logic flows to build custom solutions that fit your exact operational needs.

Visual Workflow Designer

Build automation logic with intuitive drag-and-drop interface

Template Library

Start with proven automation patterns for common scenarios

Custom Integrations

Connect to any data source or external system via APIs

Build Your First Automation

Quick Setup Steps

  1. Connect your InfluxDB telemetry data
  2. Define trigger conditions and thresholds
  3. Map to ROS 2 actions and workflows
  4. Test automation in simulation environment
  5. Deploy and monitor automation performance

Intelligent Decision Making at Scale

Our AI Automations platform transforms manual processes into intelligent, self-optimizing workflows that adapt to changing conditions and continuously improve performance across your robotics fleet.

🧠 Adaptive Intelligence

Machine learning algorithms that learn from operations and continuously optimize workflows.

  • Pattern recognition and anomaly detection
  • Predictive workflow optimization
  • Self-healing automation processes
  • Continuous learning and adaptation
πŸ”„

Workflow Designer

Visual automation builder with drag-and-drop interface and pre-built AI components.

Try Designer

Automation Capabilities

⚑

Workflow Orchestration

Design, deploy, and manage complex automation workflows with visual tools and AI-powered optimization.

  • Visual workflow designer
  • Conditional logic and branching
  • Parallel processing support
  • Error handling and recovery
🎯

Smart Decision Engine

AI-powered decision making that adapts to changing conditions and optimizes outcomes in real-time.

  • Multi-criteria decision analysis
  • Real-time context awareness
  • Risk assessment and mitigation
  • Outcome prediction and optimization
πŸ”—

System Integration

Seamlessly connect with existing systems, databases, and third-party services through robust APIs.

  • REST/GraphQL API integration
  • Database connectivity
  • Enterprise system connectors
  • Real-time data synchronization
πŸ“Š

Analytics & Monitoring

Comprehensive monitoring and analytics with performance insights and optimization recommendations.

  • Real-time performance dashboards
  • Bottleneck identification
  • ROI and efficiency metrics
  • Predictive maintenance alerts
πŸ›‘οΈ

Security & Compliance

Enterprise-grade security with compliance frameworks and audit trails for regulated industries.

  • Role-based access control
  • Audit logging and compliance
  • Data encryption and privacy
  • Regulatory framework support
πŸ“ˆ

Scalable Deployment

Cloud-native architecture that scales from single robots to enterprise fleets with high availability.

  • Horizontal scaling support
  • Load balancing and failover
  • Multi-region deployment
  • Container orchestration

Automation Use Cases

πŸ”„ Process Optimization

Automatically optimize manufacturing processes, supply chains, and operational workflows.

Example Workflow:
Production data β†’ AI analysis β†’ Process adjustment β†’ Quality validation β†’ Continuous optimization

  • Real-time process parameter tuning
  • Quality control automation
  • Resource allocation optimization
  • Waste reduction and efficiency gains

🚨 Predictive Maintenance

Automatically schedule maintenance based on AI predictions and real-time system health monitoring.

Example Workflow:
Sensor monitoring β†’ Anomaly detection β†’ Maintenance prediction β†’ Work order creation β†’ Resource scheduling

  • Equipment health monitoring
  • Failure prediction algorithms
  • Automated work order generation
  • Maintenance resource optimization

πŸ“¦ Inventory Management

Automate inventory tracking, reordering, and warehouse operations with intelligent demand forecasting.

Example Workflow:
Inventory scanning β†’ Demand prediction β†’ Automatic reordering β†’ Supplier coordination β†’ Delivery optimization

  • Real-time inventory tracking
  • Demand forecasting algorithms
  • Automated purchase orders
  • Supplier performance optimization

πŸ›‘οΈ Quality Assurance

Implement AI-driven quality control with automated inspection, defect detection, and corrective actions.

Example Workflow:
Visual inspection β†’ Defect classification β†’ Root cause analysis β†’ Process correction β†’ Quality reporting

  • Automated visual inspection
  • Defect pattern recognition
  • Root cause analysis
  • Continuous improvement loops

πŸš› Logistics Coordination

Optimize shipping, routing, and delivery operations with AI-powered logistics automation.

Example Workflow:
Order processing β†’ Route optimization β†’ Vehicle assignment β†’ Real-time tracking β†’ Delivery confirmation

  • Dynamic route optimization
  • Fleet management automation
  • Real-time tracking and updates
  • Customer communication automation

πŸ’¬ Customer Service

Automate customer interactions with AI chatbots, ticket routing, and response generation.

Example Workflow:
Customer inquiry β†’ Intent classification β†’ Automated response β†’ Escalation handling β†’ Follow-up automation

  • Intelligent chatbot responses
  • Automated ticket routing
  • Response time optimization
  • Customer satisfaction tracking

ROI and Performance Impact

Operational Efficiency Gains

75%
Reduction in manual tasks
60%
Faster process execution
90%
Fewer human errors
45%
Cost reduction

Quality and Reliability

99.8%
Process consistency
85%
Defect reduction
24/7
Continuous operation
99.9%
System uptime

Implementation Timeline

Week 1

Assessment

Process analysis and automation opportunity identification

Week 2-3

Design

Workflow design and integration planning with your team

Week 4-6

Development

Custom automation development and system integration

Week 7-8

Deployment

Testing, training, and production rollout with support

Automate Your Future

Transform operations with intelligent automation that learns, adapts, and optimizes continuously

Free consultation β€’ Custom implementation β€’ Ongoing support