AI on OutSystems, governed from day one.

Choose your AI model, connect your data in place, and keep a person in control.

Find your first AI use case See how it works

Five AI skills

What AI-Ready Banking Apps do.

They add five AI skills to the apps your teams and customers already use.

Read

Statements, IDs and forms turned into data in seconds.

Suggest

The right next step or product for each customer.

Draft

Credit notes, replies and summaries, ready for review.

Answer

Customer questions answered in every language.

Spot risk

Unusual patterns flagged early.

Stay in control

A person approves every key decision. Every step is logged.

The AI drafts. Your team decides.

Staff open a case and find the work done: documents checked, numbers pulled and a recommendation with sources. They approve, edit or ask for more.

Sources shownPolicy appliedHuman approvalLogged

How we add AI to your apps.

Start with one use case and prove it in production.

1Week 1

Pick

Choose the use case with the most value and ready data.

2Week 2

Connect

Data Fabric links the data the AI needs, in place.

3Weeks 3 to 5

Build

Agent Workbench builds the agent with your chosen LLM.

4Weeks 4 to 6

Embed

Mentor helps build the screens where staff use it.

5Ongoing

Run

We monitor accuracy, cost and safety, and improve it.

Built with OutSystems AI.

Agents, apps and data on one platform, with governance from day one.

Agent WorkbenchAI agents

What it isBuilds and orchestrates AI agents across your data, workflows and systems, with built-in human oversight. Plug in any major LLM.

How we use it hereEach AI skill is an agent with clear tools, limits and human approval steps.

MentorAI coding agent

What it isOutSystems’ platform-native AI agent. Describe what you need and it generates apps, AI agents, workflows and libraries for engineers to review.

How we use it hereThe screens and workflows where staff use AI are generated faster and reviewed by our engineers.

Data FabricData layer

What it isA single virtual layer over your databases, APIs, legacy systems and SaaS apps. Data stays where it is and keeps its permissions.

How we use it hereAgents get full context from your structured and unstructured data, without copies.

OutSystems Developer CloudODC

What it isOutSystems’ cloud-native platform. Apps run as independent services that scale automatically and ship on their own.

How we use it hereAI-powered apps scale and ship independently, like any other ODC app.

Governance & MCPControl

What it isODC roles, approvals and audit trail, which also apply when engineers build and ship through OutSystems MCP.

How we use it hereEvery AI action logged, every key decision approved by a person.

< 30 secTo read a bank statement

> 60%Less manual work per case

Trusted in regulated finance.

Human approval on key decisionsFull audit trailRole-based accessRBI and FFIEC guidance in mindDPDP Act and GLBA awareAny major LLMAnswers grounded in your data

Questions banks ask us.

Which AI models can we use?

Agent Workbench lets you plug in major models, such as those on Azure OpenAI, Amazon Bedrock, Anthropic and Gemini, and swap them per use case.

Can we add AI to apps we already have?

Yes. We can add AI skills to existing OutSystems apps, or build new ones on ODC.

How do you stop wrong answers?

The AI works from your own data, shows its sources, follows your policies and hands anything unclear to a person.

Where does our data go?

Data stays in your systems and is read through Data Fabric with its existing permissions.

Find your first AI use case.

A short session with your team to pick, scope and plan the first AI skill.

Find your first AI use case See how it works