Industry
Industrial AI
Industrial AI becomes useful inside daily operations: assets, service, planning and maintenance. IFS.ai brings that capability into IFS Cloud, while Eqeep helps your team define how it is governed and measured.
IFS.ai keeps prediction, decision and execution inside IFS Cloud, not in a separate analytics layer.
Six AI capabilities, one platform
IFS Industrial AI works inside operational workflows. It can draft content, rank next actions, surface context, forecast outcomes, optimize plans and flag exceptions. A person remains responsible for the decision in each case.
Drafts that start from IFS data
Summaries, work-order drafts, service notes and process explanations start with trusted IFS context.
One of your people reviews and approves the result before it enters the workflow.
Ranked options for the next action
Signals from assets, service, projects and supply chain arrive as a ranked list for review.
Planners, engineers and managers choose the action and remain accountable for it.
Knowledge at the moment of work
Manuals, asset history, agreements and previous interventions surface when the decision is made.
Expertise stays available even when the experienced colleague is not in the room.
Test a change before it reaches operations
Model demand, capacity, maintenance windows and service risk before making a change.
A planner reviews the forecast and decides which change to make.
Plans that respect the constraints
Balance technicians, parts, SLAs, production windows and asset criticality in the same plan.
AI works out the trade-offs; a planner chooses between them.
Catch the exception while it is small
Flag abnormal readings, cost drift, late signals and other exceptions that deserve attention.
That creates time to act before they become downtime, backlog or customer impact.
Digital workers, human decisions
Industrial teams need recommendations they can explain, with clear ownership and an audit trail. IFS Loops digital workers gather context, prepare the next step and trigger work where the rules permit. Planners and managers handle exceptions, approvals and decisions that affect customers or safety. The system carries the routine coordination; people remain accountable.
Three layers of IFS Industrial AI
IFS Industrial Intelligence runs inside IFS Cloud. It uses operational data to support day-to-day decisions without a separate deployment.
IFS Loops adds governed digital workers that execute work end to end, can go live in weeks and remain auditable. IFS Nexus Black addresses problems that standard systems cannot solve; it is co-created with operators and can move from prototype to production in days.
Autonomous, with your people in control
IFS embeds AI in the operational processes where the work happens.
Machines can respond quickly, but people set the direction. Digital workers handle routine coordination; named owners approve exceptions, adjust plans and make the decision.
Industrial AI can work with existing systems, including environments where the underlying ERP is not IFS.
Recommended resource
IFS.ai: Industrial AI that acts in the flow of work
See how IFS.ai uses operational data to flag exceptions, prepare routine choices and support daily decisions.
Trusted by Industry Leaders
Questions before you automate
Industrial AI earns trust when the business knows what AI may prepare, what it may execute and where a person signs off.
Industrial AI in IFS combines IFS.ai, Industrial Intelligence, IFS Loops digital workers and Nexus Black around operational workflows. It brings prediction, recommendation and execution into planning, service, maintenance and asset management.
Teams decide which decisions an agent may prepare, which actions need approval and how outcomes are measured. Digital workers remove routine coordination; planners, technicians and managers keep the accountable choices.
Start with one decision that repeats often, uses reliable IFS or asset data and has a measurable operational result. Examples are demand changes, field exceptions, asset risk, work order prioritization or service margin leakage.
Yes. The route can coexist with the existing ERP environment. Eqeep maps the operating model, data flow and IFS capabilities first, then decides where IFS Cloud, IFS.ai or Nexus Black should carry the work.
Explore industrial AI in your IFS context
Tell us which AI use case, data question or operational process you want to examine, and which systems are involved.
You will speak with an Eqeep specialist who understands IFS, industrial operations and practical AI adoption.