Turn production signals into the next right action.
From floor data to intelligence, decision, execution — and learning. Decisyon closes the loop every shift, so the plant gets smarter each time it runs.
Most plants can see their problems. AI agents in manufacturing should help resolve them, not just report them: Decisyon's AI Agents detect and recommend, people decide, and Agentic MES coordinates execution through confirmed resolution. To size that on your own lines, the payback calculator works it through in four questions.
OEE, downtime, and issue-resolution figures are reported by Decisyon customers. ROI is a modeled range based on customer deployments, not a guaranteed outcome.
The production operation, end to end.
Agentic MES is not a dashboard layer. It manages the live production system — orders, people, assets, losses, tasks, and the handovers between shifts.
Orders, scheduling, line status, shift context, and production activities.
Availability, performance, quality, time losses, downtime, and bottlenecks. Slow running is detected per line and stored as its own loss object, next to downtime — because speed loss is the loss nobody sees on the floor: nothing stops, but the line bleeds output.
Scrap and quality losses, per line, per shift, per order. The batch code travels with the order, so every stop, loss, and scrap record points back to it.
Contextual actions, ownership, evidence, and resolution.
Turn production events and anomalies into maintenance work orders.
Adapt execution models to different lines, plants, and manufacturing environments.
See. Understand. Decide. Execute. Learn.
The dashboards don't sit on a wall waiting to be interpreted. The line tells you it's slowing, the system points to the likely cause, the right person gets a recommended action, the issue is tracked to resolution in the same screen, and each shift builds on the last.
Every machine, order, and operator on one live production picture — connected through the Decisyon Smart Gateway, not radio calls.
Losses are grouped and ranked, so the biggest ones are visible — operators start with the reason in front of them, not a chart to interpret.
Prescriptive agents recommend the next best action, informed by similar past events and your plant's rules — so operators start with a strong candidate, not a blank screen.
Owners are assigned, work is logged, and the issue is resolved in the same screen it was found.
Issues and the actions taken are kept and reused. OEE and TEEP trends are tracked automatically, so the loop is visible and the business impact is easier to quantify and discuss.
Every issue and the action taken becomes reusable manufacturing knowledge.
Most plants lose what they learn between shifts, turnover, and firefighting. Decisyon Operational Memory captures the issue, the decision, the action, and the result — so the next operator, supervisor, or engineer starts from what the plant already knows, not from scratch.
Every downtime event, quality deviation, and maintenance anomaly is stored with context: machine, product, shift, symptoms, and root cause. Fix Finder uses this memory to surface similar past issues and the actions that resolved them.
Not just what was done, but why, when, and under what conditions. The next recommended action is grounded in your plant's actual history, not generic best practice.
Resolved issues update OEE, TEEP, and loss trends automatically. Proven fixes become standard work; recurring problems get flagged before they spread.
Fix Finder is one proof point. Read how Operational Memory stops plants from solving the same problem twice.
Close the gap between the ERP plan and what actually happens.
The plan from ERP and the reality on the floor finally agree — these four things can start working differently, starting in week one, with no data of yours to wait for.
Orders land on the right line at the right time. No more chasing schedules across whiteboards and emails.
Your line slows down long before it stops, and today nobody sees it. We catch the drift while the line is still running, and we show you what it costs you in lost pieces.
Issue Coach checks the fault description while the operator writes it (who, what, where, when, how). Fix Finder then brings up the action that was applied on a similar issue. Your best shift becomes everyone's standard.
Time and shift coverage all visible. At the end of the shift Shift Pilot writes the handover — stops, losses, open actions — and the operator corrects it. Operators, supervisors and managers each see their own view.
Dashboards show. Agentic MES acts.
Operational Intelligence detects a problem and explains it. Operational Execution assigns the owner, coordinates the work, and confirms the problem is actually resolved. Decisyon does both — and the second one is where plants get the result.
Use Agentic MES where you need modern manufacturing execution. Integrate Decisyon with your existing MES where you don't. Either way, the same AI Workforce and System of Execution connect intelligence to action. For asset-health and failure-prediction use cases, Decisyon Predictive Maintenance works on the same data layer with the same AI Workforce.
- Records and manages production execution
- Relies primarily on predefined rules and workflows
- Surfaces exceptions for people to investigate
- Operational knowledge often remains fragmented
- Changes and extensions can require significant configuration
- Understands production context in real time
- AI Agents investigate deviations and recommend next actions
- Human-in-the-loop decisions remain inside the operational workflow
- Operational Memory preserves what worked
- Deploys as an MES or alongside the systems already in place
From kickoff to production in under three months.
Read the full Italfarmaco case study"Decisyon's solution improved real-time information. Analysis of six months of collected data also led us to build different business cases for investment in new machines."
Lorenzo AriottiProduction Manager, Italfarmaco
An AI Workforce embedded in manufacturing execution.
Purpose-built AI agents work inside the operational workflow—monitoring conditions, finding knowledge, recommending actions, checking compliance, and following issues through resolution.
Natural-language search across SOPs, manuals, and operational records.
- Problem
- Hours lost searching SOPs, manuals, and records across multiple disconnected systems
- Primary user
- All employees
Surfaces the corrective action that was applied on a similar issue.
- Problem
- Teams re-investigate the same root causes because past fixes aren't easy to find
- Primary user
- Operators, maintenance and quality managers
Checks operations against your own procedures and flags what it finds.
- Problem
- Deviations from standard go unnoticed until they surface as audit findings
- Primary user
- Quality, compliance, and plant management
Checks the fault description while the operator writes it (who, what, where, when, how) and asks for what is missing.
- Problem
- Fault descriptions arrive incomplete, so investigations start with a phone call instead of the facts
- Primary user
- Operators and shift leaders
Opens a task or a maintenance call straight from the stop page, carrying the stop with it.
- Problem
- Stops get noted but the follow-up task or maintenance call never gets created
- Primary user
- Operators and maintenance teams
Writes the shift handover (stops, losses, open actions) for the operator to correct.
- Problem
- Shift handovers depend on memory, so stops and open actions get lost between shifts
- Primary user
- Operators and shift supervisors
Start where the pain is. Expand from there.
Agentic MES is the natural starting point when production execution is the pain point. Once the loop is closing on the line, the same AI Workforce and data layer extend into every other operational decision.
The Operational Excellence Application — connect strategy, daily management, and improvement initiatives across plants.
Predict and prevent asset failures before they interrupt production, using the same AI Workforce.
Unify asset health, risk, and maintenance decisions across sites and fleets.
See across sites, align priorities, and coordinate response from a single operational view.
Specialized agents for every layer of operations — from Fix Finder to Process Conformance.
Stop reading reports about yesterday.
See Agentic MES running on one of your lines. Real data, real bottlenecks, and realistic fixes — inside an hour.