When plant applications, maintenance records, quality processes and enterprise systems do not connect cleanly, teams fall back on spreadsheets and manual hand-offs. ExoSystems powered by Indigo helps manufacturers deliver practical, governed applications on OutSystems Agentic Systems Platform — extending what works instead of disrupting production.
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Enterprise experience across financial services, telecommunications, healthcare, retail, logistics, manufacturing, energy and utilities, and insurance.
When demand, production and service depend on different systems, teams work harder just to keep information moving. The cost shows up in familiar places — not always in the technology budget.
Paper instructions, fragmented screens and duplicate entry slow execution and make critical information harder to trust.
Defects, non-conformances and corrective actions cross teams before the right people see the same evidence.
Asset signals, work orders, parts availability and technician updates sit apart when uptime matters most.
Production, procurement, warehouse and logistics teams manage dependencies that are difficult to see end to end.
Plant-level needs are urgent, but central teams must protect core ERP, MES and other business-critical platforms.
Promising AI and sensor-data pilots still need reliable integration, clear permissions and human accountability before live use.
Start with an outcome your operations team already owns — such as downtime, quality response time, maintenance turnaround, order visibility or application delivery backlog — and work back to the workflow behind it.
The OutSystems Agentic Systems Platform can support applications around manufacturing execution, operations management, supply chains and lifecycle processes. The right starting point depends on your existing systems, data and the result you need to demonstrate.
Put relevant tasks, production updates, exceptions and instructions in a usable interface for plant teams.
Connect equipment information to the people who investigate, assign and resolve operational exceptions.
Make inspection, deviation and corrective-action information available across production and management.
Improve the flow of order, inventory, scheduling and delivery information without duplicating core records.
Give external stakeholders a consistent digital way to exchange requests, documents and progress updates.
Connect approvals and decisions across engineering, testing, release, changes and post-sale support.
OutSystems Agentic Systems Platform brings application development, enterprise integration, AI-enabled workflows and lifecycle governance into a shared environment. ExoSystems powered by Indigo helps manufacturing teams assess where it fits and how it should coexist with ERP, MES, MOM, SCM, PLM and existing plant technology.
Use appropriate APIs, connectors and integration patterns to work with existing systems of record, including SAP, Oracle and other enterprise platforms.
Use reusable components, testing, access controls and managed release processes so applications can evolve across plants and functions.
Assess bounded AI agents for work such as triage, knowledge support or estimating, with data access, approval and human oversight defined first.
Free signup lets you explore supported capabilities of the OutSystems Agentic Systems Platform. Enterprise deployment, integration and AI functionality depend on the applicable product, architecture and licensing. We assess suitability before recommending a production approach.
These published manufacturing customer stories demonstrate different ways to improve delivery capacity, modernise operating systems and connect work across the enterprise.
Bosch established a governed digital factory with reusable components and business-user enablement, reaching 400+ active developers and 24,000+ application users over a reported 12-month period.
Read Bosch's published story ↗The machinery manufacturer reduced the maintenance burden and reported more than US$350,000 in annual development efficiencies and savings while digitising field workflows.
Read Park Industries' published story ↗The steel manufacturer modernised complex MES screens while preparing for an ERP transition, reporting a threefold improvement in developer productivity.
Read SeAH Group's published story ↗YESCO connected field service and enterprise applications, moved from six-month releases to two-week cycles and developed AI-enabled estimating workflows.
Read YESCO's published story ↗Figures are results reported in the respective OutSystems customer stories. Explore more manufacturing references on the OutSystems manufacturing industry page.
The objective is not simply to build a plant application quickly. It is to deploy a capability operations can rely on, architecture can support and the business can measure.
We consider OT/IT boundaries, integration ownership, user permissions, plant availability, traceability, lifecycle support and the total cost of change before committing to a delivery route.
You do not have to commit to a full estate overhaul to prove that a better workflow is possible. The first initiative should have a clear owner, a measurable outcome and a route into production.
Identify what needs to improve: uptime, quality response, schedule adherence, field turnaround or delivery capacity.
Review users, hand-offs, data, ERP/MES dependencies, security boundaries and the owners of each decision.
Agree scope and measures, then design, integrate, test and release a usable solution into the intended operating workflow.
Assess adoption, operational results, run costs and support demands before deciding how to extend across lines, plants or processes.
A credible first delivery is more useful than a broad programme promise. We help frame the next step around something your manufacturing operation can demonstrate and improve.
The important decision is not whether manufacturing needs another technology platform. It is whether the proposed capability fits your operating and architecture reality.
Not necessarily. Our preferred starting point is to evaluate what already works and where an application, interface or orchestrated workflow can extend it. Replacement only belongs on the table if the business case and technical assessment justify it.
The OutSystems Agentic Systems Platform supports enterprise integration using connectors and APIs. Feasibility depends on the specific system interfaces, integration middleware, access rights, latency requirements and operational boundaries. We assess those dependencies before selecting a design.
Plant availability and operational safety are design constraints, not afterthoughts. We work with your OT, IT, security and operational owners to identify safe integration points, testing approaches, fallback plans and release windows. Suitability must be proven for each environment.
AI may assist with bounded activities such as service triage, technical knowledge retrieval or estimation. It should not be introduced as an unsupervised controller of safety-critical processes. We first establish what data agents may access, which actions need human approval, and how decisions will be monitored.
Start from a measurable baseline and a limited use case. We discuss the likely delivery, integration, licence, support and adoption costs alongside expected benefits, so the decision can be reviewed against actual operational results instead of a broad promise.
Bring one operational priority, one constraint or one application your teams need to improve. We will discuss the outcome, the systems involved, the controls required and whether the OutSystems Agentic Systems Platform is a practical fit — before suggesting a delivery approach.
