Will it fit the systems we already run?
Architecture boundaries, dependencies and integration patterns must be clear before committing to a platform.
Technology · Enterprise platform fit
Build on the platform.
Strategic enterprise platform — OutSystems Agentic Systems Platform
Build on the platform.
Work with your estate.
Your next platform decision must help you deliver faster—without adding a new integration, governance or long-term cost problem.
The OutSystems Agentic Systems Platform supports enterprise applications, workflows and AI agents. We assess its fit with your existing architecture, data, identity and operating controls before recommending a route to delivery.
Strategic enterprise platform — OutSystems Agentic Systems Platform01
Know the outcome
Which business result needs a working solution?
02
Protect the estate
What must integrate, coexist and stay governed?
03
Design for production
Who owns delivery, operation and the next release?
Governance built in across every stageValue · Architecture · Security · Data · Delivery · AI · CostExplore governance & security
Recognised OutSystems partner capability
Enterprise experience across financial services, telecommunications, healthcare, retail, logistics, manufacturing, energy and utilities, and insurance.
The decision behind the technology
What technical teams need to establish
A faster way to build is only valuable when it works with the architecture you must maintain. Before introducing another platform or AI capability, these questions need credible answers.
Who can access which data and actions?
Identity, permissions, security and trusted data access need to hold across people, applications and agents.
Can we release, improve and support it reliably?
Testing, deployment, quality, lifecycle management and operational ownership matter beyond the first launch.
What happens when AI becomes operational?
Human oversight, observability, AI behaviour, cost and accountability must be assessed before agents go live.
Can we prove governance is working, not just promised?
Which controls are tested before release, who approves exceptions, and how can security, audit and AI decisions be traced in production?
Will the lifetime cost and ownership stand up to scrutiny?
Understand licensing, integration, operating cost, required skills, support ownership and future exit options before you commit.
A credible route to platform fit
Extend what works. Control what changes.
We assess use-case suitability, coexistence with core systems, integration patterns and the controls required for production. The right platform decision is explained through trade-offs, not a promise that one technology fits every problem.
Illustrative architecture · From existing core to business outcome
01 · Existing enterprise systems
Retain valuable business logic, reliable records and operational platforms.
ERP & CRMLegacy coreEnterprise data
02 · Integration and enterprise context
Connect APIs, permissions, data, business rules and dependencies.
APIs & connectorsContextOrchestration
03 · Working applications, workflows and AI agents
Deliver a defined business result within agreed operational boundaries.
Enterprise appsConnected workflowsGoverned AI agents
The illustration shows the design questions, not a prescribed architecture or a guarantee that every capability is available in every environment.
What we help you decide
Platform fit before platform commitment.
Assess the application, integration and AI opportunity against your existing estate, delivery model and production obligations.
01
Use-case suitability
Where will this platform add measurable value?
02
Coexistence and integration
What remains in place and how does new capability connect?
03
Production assurance
What must be tested, monitored, secured and owned?
Controls at every stage · Governance built inBuilt into the decision, design, release and operation
01 · Value02 · Architecture03 · Security04 · Data05 · Delivery06 · AI07 · Cost
Governance & security
Can you prove that every release is secure, governed and ready for production?
Explore how architecture, security, data protection, AI oversight and operational accountability must work together—not become another hurdle at go-live.
Strategic enterprise platform — OutSystems Agentic Systems PlatformOur strategic technology focus
What the OutSystems Agentic Systems Platform makes possible
Your question is not whether a platform has more features. It is whether your teams can deliver critical applications and AI-enabled processes while retaining control of architecture, data, change and cost.
We assess the relevant OutSystems Agentic Systems Platform capabilities against your requirements, existing estate and available product configuration.
Availability, licensing, deployment options and integration fit are confirmed for the environment in scope.
Enterprise applications, delivered with controlVisual, model-driven development and reusable components support web, mobile and core business applications.
AI-assisted engineering with MentorAccelerate design, build and iteration while retaining developer reviews and defined quality gates.
Integration and Data FabricConnect existing ERP, CRM, APIs and legacy data; assess the virtual data layer, permissions and data quality requirements.
Agentic systems and workflow orchestrationConnect bounded AI tasks, human decisions and enterprise systems within accountable business processes.
Enterprise context and governanceAgentic Systems Engineering and the Enterprise Context Graph support an architecture-aware approach to changes and agents.
Lifecycle, security and operationsAssess integrated DevSecOps, deployment choices, monitoring, access control and portfolio oversight before production.
Technical evidence
Examine the technology behind the decision
Technical decisions should stand up to architecture review, security review and a credible total-cost discussion. Start with the official platform documentation, then test the fit.
Official platform information
Agentic Systems Engineering
Learn how OutSystems describes its open, context-driven approach to building, orchestrating and governing agentic systems.
Read the OutSystems overview ↗Official product overviewOutSystems platform capabilities
Explore enterprise applications, integrations, lifecycle tooling, security and AI-enabled development capabilities.
Review the platform ↗Frequently asked questions
Questions worth answering before you commit
The concerns are reasonable: will this work in our estate, who controls the AI, and will we still be comfortable with the decision three years from now?
Can the OutSystems Agentic Systems Platform integrate with our existing systems?
It is designed to integrate with enterprise applications and data through connectors, APIs and related integration methods, including support for AI-oriented interfaces. We begin by mapping the systems, contracts, permissions and data quality involved, then verify any platform-specific requirements.
Does this mean replacing our legacy ERP, CRM or core systems?
Not necessarily. The first option may be to extend and modernise around systems that still perform valuable work. We compare coexistence, incremental replacement and full modernisation against cost, operational continuity and technical risk.
How are AI agents kept secure, governed and accountable?
Before production, we define each agent's authorised data, tools and actions; where human approval is required; and how behaviour, exceptions, audit trails and cost will be monitored. The OutSystems Agentic Systems Platform offers governance, access controls and observability features, but the complete control design must still be validated for the specific workflow.
How is Agentic Systems Engineering different from a standalone AI coding assistant?
A coding assistant can generate code, but production systems also depend on architecture, business logic, integrations, permissions, testing and release controls. OutSystems describes Agentic Systems Engineering as an approach that uses enterprise context and governance across applications and agents, rather than treating generated code as the finished solution.
Can we use our preferred AI models and meet deployment or data-residency requirements?
OutSystems documents support for connecting different AI models and hybrid deployment approaches. The relevant options, contractual terms, regional availability, identity controls and data flows must be checked against your organisation's security and regulatory requirements.
How do we avoid a new source of technical debt or platform lock-in?
We assess architecture boundaries, reusable assets, integrations, documentation, internal capability and operating ownership up front. OutSystems is a proprietary platform, so licensing, dependency and exit or migration trade-offs should be explicit—not discovered after the first application launches.
What should we establish before approving an investment?
Start with one priority and a measurable success criterion. Review platform fit, architecture, integration effort, cost, governance, delivery capacity and ongoing support. The result should be a defensible recommendation and a realistic route to a governed production release—not simply a demonstration.
Next step
Make a platform decision you can stand behind.
Bring us one priority, the systems it depends on and the assurance your team needs. We will explore fit, constraints and a credible route into production.
Book a Consult ↗