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AI Agents: Your Team of Digital Experts
Specialized agents collaborate across safety, performance, and stakeholder narrative—guided by a facilitator and a large reasoning model.
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What are AI Agents?
Specialized intelligences that work together
Safety Agent
Monitors procedures, flags risk, and proposes mitigations.
Performance Agent
Surfaces bottlenecks and tests what‑if scenarios.
Stakeholder Agent
Translates technical detail into investor‑ready narratives.
Facilitator Agent
Orchestrates trade‑offs using a large reasoning model and your priorities.
Why It Matters
Decisions with Context and Confidence
Safer Decisions
Monitors procedures, flags risk, and proposes mitigations.
Reduced Risk
Identify issues before they surface.
Safety Agent
Multiple viewpoints, one aligned plan.
How They Work Together
Sense. Interpret. Coordinate. Act.
Sense
Ingest data and changes
Interpret
Agents analyze in parallel
Coordinate
Facilitator weighs trade-offs
Act
Recommendations, scenarios, and automations
Governance & Trust
Human-in-the-Loop by Design
Approvals
Safety-critical actions require human sign-off.
Audit
Every recommendation is logged with rationale.
Boundaries
Scoped data access per agent and deployment model.
Integrations
Connect to your stack
Data warehouse, historian/SCADA, CMMS/ERP, documentation, and comms tools for alerts and approvals.
Highlights
Scenario testing made visual
Explore what-if changes and see projected impact before you commit resources.
Live data in context
Blend telemetry and procedures directly into spatial context for faster, safer decisions.
Role-based views
Operators, safety leads, and executives see exactly what matters for their decisions.
FAQ
Questions, answered
What is the Facilitator Agent?
It orchestrates specialized agents—safety, performance, stakeholder—resolving trade‑offs with a large reasoning model and your priorities.
Can agents act automatically?
Yes, but safety‑critical actions remain human‑in‑the‑loop by default. You can set guardrails, approval thresholds, and audit requirements.
How do you handle privacy and security?
We scope data access per agent, log all recommendations, and support on‑prem or private cloud deployments to meet your security posture.
What’s required to train or customize agents?
We start with role templates, then adapt them to your procedures, assets, and KPIs. Fine‑tuning focuses on your vocabulary and decision patterns.
How are recommendations explained?
Every recommendation includes context: inputs considered, confidence, and links into the digital twin so teams can inspect evidence.
What if an agent is wrong?
Agents are monitored with feedback loops, scenario testing, and rollback plans. We track precision/recall per use case and improve iteratively.
What does it cost?
Licensing depends on scope, number of agents, and deployment model. We provide a clear pilot budget before kick‑off.
Can agents integrate with existing tools?
Yes. We connect to your data warehouse, historian/SCADA, CMMS/ERP, documentation, and communication tools for alerts and approvals.
See your operation in a new dimension
Get a demo tailored to your site and use case.
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