SVARA Autonomous Agents & Voice AI
AI Agents is SVARA's autonomous workflow product that deploys intelligent agents to execute complex operational tasks — monitoring systems, making decisions, and taking actions without human intervention.
AI Agents
AI Agents is SVARA's autonomous workflow product that deploys intelligent agents to execute complex operational tasks — monitoring systems, making decisions, and taking actions without human intervention.
Architecture
AI Agents uses a multi-agent architecture where specialized agents handle different operational domains. Agents communicate through a shared event bus, coordinate actions, and escalate to humans when confidence is low.
Agent Runtime
Execution environment for autonomous agent workflows.
Agent Registry
Catalog of available agent types and their capabilities.
Event Bus
Inter-agent communication and event distribution.
Human Handoff Manager
Managed escalation when agents require human judgment.
Data Flow: Operational events enter through the event bus, agents evaluate events against their decision models, execute actions, and publish outcomes back to the bus for other agents to consume.
Use Cases
Automated Production Adjustments
Deploy agents that monitor production metrics and automatically adjust parameters to maintain optimal quality and throughput.
Intelligent Alert Triage
Agents that receive alerts, correlate with contextual data, determine root cause, and take corrective action or escalate.
Deployment
AI Agents deploy alongside the Coordinate layer. Agents are configured with decision models, operating boundaries, and escalation rules. Human operators define autonomy levels per agent type.
- 01Define agent workflows and decision boundaries
- 02Configure connectors to enterprise systems
- 03Set autonomy levels and escalation rules
- 04Deploy agents to production with human oversight
- 05Monitor agent decisions and refine models
Industries
Manufacturing
Production line automation, quality control agents, maintenance dispatch.
Explore ManufacturingFrequently Asked Questions
How autonomous are AI Agents?
Autonomy is fully configurable — from recommend-only mode through fully autonomous execution. You set the autonomy level per agent type and can adjust at any time.
Can agents work together?
Yes. Agents communicate through a shared event bus, allowing multi-agent workflows where specialized agents coordinate on complex tasks.
What happens when an agent is uncertain?
Agents escalate to human operators with full context, recommended actions, and confidence scores. The human decides or overrides.
Comparisons
Chatbots / Conversational AI
AI systems designed for conversation and question answering.
AI Agents execute actions in enterprise systems, not just answer questions. They change operational states, not just inform.
Robotic Process Automation
Rule-based automation of repetitive digital tasks.
AI Agents use AI to make decisions, not just follow rules. They adapt to changing conditions and handle novel situations.
Return on Investment
AI Agents deployments typically automate 50-70% of operational decisions, reduce decision latency from hours to seconds, and free human operators for higher-value work.
Resources
- Multi-Agent Systems for Industrial Operationsresearch
- Autonomous Decision-Making in Enterprise Environmentsresearch
- Human-in-the-Loop Agent Design Patternsresearch