The gap between knowing and doing has a different shape in every job.
Manufacturers already have the data, the alerts, the meetings, and the decisions. What changes with Decisyon is what happens next: for the person on the line, the person running the shift, and the person accountable for the plant. Find your role and see what you bring, what it becomes, and who has already proven it.
You already know what the plant needs. Decisyon makes sure it gets done.
You carry the performance number and the priorities behind it. What's hard is seeing whether yesterday's decisions turned into today's actions, without waiting for the next meeting to find out.
What you bring
- Performance targets and the priorities behind them
- Risks flagged in tier meetings and daily reviews
- Decisions made across shifts, departments, and sites
- A history of what has been tried before
What it becomes
- Every risk linked to an owner, a deadline, and a result
- A live view of open actions across every line and shift
- Decisions that stay visible until they're closed
- Plant performance traced back to the actions that moved it
AI agents that work for you
Searches every past discussion, decision, and outcome across the enterprise, so you can answer “have we dealt with this before?” in seconds rather than by asking around.
Monitors live operations against the standards you've set and flags every deviation, so you learn about drift while it can still be corrected.
Schneider Electric uses Decisyon's connected daily management to drive KPI-based execution across 200 plants, with more than 100,000 registered users and a new plant configured and deployed in about four hours. Read the case study
You see the problem first. Decisyon gives you the fix, the context, and the room to act.
An alert on its own is just noise. What you need at the machine is what it means, what worked last time, and who to bring in — without leaving the line to find out.
What you bring
- Alerts from the machine and the line
- First-hand knowledge of how the process actually behaves
- Issues you notice before the system does
- Questions about procedures, settings, and specs
What it becomes
- A recommended response, with the reason behind it
- An issue that's logged, owned, and escalated in one step
- The right SOP or work instruction, found by asking
- Faster action on the line, with a record of what you did
AI agents that work for you
Surfaces the corrective action that already worked on a similar issue, drawn from incident records, corrective actions, and root cause history.
Natural-language search across SOPs, manuals, work instructions, and engineering and quality documents. Ask the question the way you'd ask a colleague.
A global mechanical components manufacturer runs OEE, quality, and machine status in real time across every line and executes change-overs from a mobile device, with fewer manual interventions and safer operations. Read the case study
You make the calls on the floor. Decisyon makes sure they land.
Every shift produces decisions. The gap is what happens after: who owns it, what got escalated, and whether the follow-through survived the handover to the next shift.
What you bring
- Decisions made in tier, SIM, and SQDIP meetings
- Judgment calls made mid-shift, under pressure
- Issues that need someone else's help to resolve
- Handover notes between shifts
What it becomes
- Actions with a named owner and a due date, captured as you speak
- Coordinated response across operators, maintenance, and quality
- Escalations that reach the right person with the full context
- Follow-through that carries across shifts and days
AI agents that work for you
Captures decisions, actions, and owners from every operational meeting, live, so the daily meeting produces daily execution instead of a whiteboard photo.
When an issue comes to you, it comes with the corrective action that already worked on something like it.
Across Schneider Electric's network, more than 4,000 people work in Decisyon at the same time every shift — the platform is built for the pace of the floor, not the pace of the boardroom. Read the case study
You find the deviation. Decisyon closes it and keeps the evidence.
Catching a deviation is only the start. The work is driving the corrective action, proving it was done, and making sure the same thing doesn't come back three months later on a different line.
What you bring
- Deviations, non-conformities, and audit findings
- Standards, procedures, and specifications
- Corrective actions and their history
- Evidence requirements for customers and regulators
What it becomes
- Deviations caught while the process is still running
- Corrective actions assigned, tracked, and verified
- Evidence and learning captured as the work happens
- Recurrences prevented by surfacing what fixed it before
AI agents that work for you
Measures live operations against your defined procedures and standards and flags every deviation, so detection moves from the audit to the moment.
Connects a new deviation to the corrective action and root cause that resolved the last one like it.
Puts the governing SOP, spec, or quality document one plain-language question away.
ADEO built a Smart Audit and Internal Control solution on Decisyon spanning 32 companies in 15 countries, cutting data entry and audit cycle time by more than half. Abafoods (Ecotone) reports fewer internal non-conformities and higher conformance to plan with 150 users on the floor. Read the ADEO story
You know which assets are at risk. Decisyon tells you what to do about it, and when.
Condition data, alarm floods, and work orders all describe the same asset from different angles. What you need is a single answer: what's about to fail, why, and the next best action given the cost and the constraints.
What you bring
- SCADA, historian, sensor, and CMMS data
- Failure modes and maintenance history
- Engineering knowledge that lives in people's heads
- Alerts that arrive without a recommendation
What it becomes
- Advance warning on emerging risk, before the stop
- The real cause, with its operational and business consequences sized
- A recommended next action weighed against risk, cost, and constraints
- Planned work replacing unplanned downtime
AI agents that work for you
Watches condition, operating behavior, anomalies, and emerging risk across critical assets, fed by SCADA, historians, sensors, IoT, and EAM/CMMS systems.
Predicts degradation, identifies likely causes, and sizes the consequences, so you fix the cause instead of the symptom.
Recommends the next best action from asset history, engineering knowledge, risk, cost, and operating constraints. The next step, not just the next alert.
At a multibillion-dollar semiconductor fab, Decisyon's predictive maintenance reached 90%+ live prediction accuracy with 24 minutes to 11 hours of advance warning, on sensor data sampled every six seconds. Read the case study
You know what worked on line three. Decisyon proves it and takes it everywhere else.
The hard part of improvement isn't the idea. It's verifying that the gain held, showing the evidence, and getting the same practice adopted on the next line and the next plant without starting from scratch.
What you bring
- Improvement initiatives, kaizens, and A3s
- Lean and WCM meeting cadences
- Proven practices that live in one plant
- Before-and-after data that's hard to assemble
What it becomes
- Initiatives tracked from decision to measured outcome
- Verification that improvements held, not just launched
- Proven practices found, shared, and adopted across sites
- An evidence base that justifies the next investment
AI agents that work for you
Searches every past decision and outcome across the enterprise, so a practice proven in one plant is findable by every other plant.
Turns every improvement meeting into owned actions with due dates, so initiatives don't stall between reviews.
Makes standard work, best-practice documents, and engineering records searchable by anyone in plain language.
A multinational food and beverage manufacturer runs its WCM program on Decisyon's Manufacturing Control Tower, with OLE improving month over month and rollout measured in weeks. Italfarmaco used six months of Decisyon data to justify new CAPEX. Read the case study
Six roles, one chain of execution.
Each role hands off to the next. The operator's issue becomes the supervisor's decision, the quality lead's deviation, the maintenance planner's next action, and the plant manager's result. Decisyon is the system where that handoff happens with an owner attached at every step.
See it from your seat.
Tell us your role and the problem you'd most like to stop re-solving. We'll walk you through exactly how Decisyon handles it, with your data or ours.