Maintenance intelligence in active pilot deployment

Agentic Maintenance Intelligence for asset-intensive operations

Envis AI connects CMMS, ERP, historians, and sensor streams into an agentic decision layer. Teams use this intelligence to prevent downtime, standardize maintenance, and improve lifecycle ROI. Designed for maintenance and asset leadership teams.

Currently deploying focused pilot modules with selected operators in mining and heavy industry. Over time, we will extend intelligence across planning, capital, risk, compliance, and decommissioning.

CMMS Work orders, history ERP Materials, costs Sensors Vibration, temp Maintenance Agent Diagnose • Recommend • Orchestrate Work Execution Dispatch • Parts • Verify Capital Intelligence Future module Asset Risk Future module Pilot modules: maintenance decisioning & orchestration (expanding over time).

Piloting with asset operators across mining and heavy industry.

Mining Energy Manufacturing

Architecture

Envis is building a modular agent architecture powered by the Chinook orchestration engine. We are launching with focused maintenance intelligence and progressively extending across the asset lifecycle.

Chinook Engine

Orchestration • Integration • Decision Traceability

Maintenance

Pilot maintenance intelligence and orchestration modules.

Capital

Future capital planning and scenario modeling.

Risk

Future asset integrity and compliance intelligence.

Lifecycle

Long-term full EAM orchestration.

Powered by

CMMS + ERP Sync OT/IT Integration Agent Workflows Prescriptive Maintenance Lifecycle ROI Modeling

Ready to pilot maintenance agents?

Join the pilot program to validate targeted modules today. Help shape the broader lifecycle platform roadmap.

Apply for Pilot Access

The Industrial Connectivity Fabric

Envis AI unifies the three pillars of industrial success. We orchestrate Operational Technology (OT) for machine health, Information Technology (IT) for capital records, and Network Technology (NT) for resilient connectivity. This convergence reduces blind spots today. It establishes the foundation for lifecycle-wide intelligence over time. In practice, this means fewer unplanned failures, tighter work execution loops, and clearer capital allocation decisions.

Building Toward the Full Lifecycle

Starting with maintenance decisioning and orchestration. Expanding over time toward capital planning, risk, compliance, and end-of-life optimization.

Strategic Planning and Capital

Optimize investment planning and design-build phases through predictive ROI modeling.

Operational Orchestration

Connect CMMS, historians, and ERP into a real-time diagnostic view, starting with pilot-ready workflows.

Autonomous Maintenance

Agents recommend corrective actions and coordinate work execution based on live conditions (pilot modules in progress).

Asset Risk Management

Mitigate risk by modeling real-time profiles to prevent high-consequence failure events.

Regulatory Compliance and Safety

Ensure a fully auditable trail of decisions. Our agents verify safety protocols before authorizing work.

Lifecycle Intelligence

Manage the transition from peak performance to decommissioning to maximize end-of-life value.