PRODUCT

onflAI: Agentic Business Integration Platform

onflAI is the Agentic Business Integration Platform: you describe the business goal. AI builds and validates the integration configuration. You approve. The IOnbrix runtime executes. Work in the Studio or through connected AI agents.

01

What does Agentic Business Integration mean?

You define the business goal. AI translates your input into a technical integration configuration, assembles suitable IOnbrix building blocks and validates the structure. It helps turn intent into an executable integration rather than just providing instructions. Your team supplies missing details; production approval stays with you.

02

From intent to integration

Business teams describe the outcome, source and target systems, and desired result. onflAI translates those inputs into a technical configuration while keeping fields, mappings, rules and error paths visible.

03

Validation before operation

AI checks technical minimum requirements and exposes the status. The integration is activated only after deliberate human approval.

04

A production lifecycle

Once approved, the IOnbrix runtime executes the integration in a controlled way. Status, run history and errors remain visible to responsible teams.

  • You describe
  • AI builds
  • AI validates
  • You approve
  • IOnbrix operates
05

One platform for people and agents

onflAI Studio provides visual configuration, mapping and monitoring. onflAI also exposes integration capabilities through MCP: to supported ChatGPT and Codex surfaces through the onflAI plugin, and to Microsoft Foundry Agents through MCP tools. Both access paths work with the same platform.

06

From request to operations

An agent can prepare and modify an integration, initiate validation and tests, request an approved deployment and query status and errors. It does not build a separate integration engine. IOnbrix handles production data processing.

07

What you need to start

A clear business case, a responsible owner and reachable source and target systems. Describe which data should move where and what business success looks like. Available access, fields and permissions are checked next; not every system variant is automatically supported.

08

What AI does – and does not do

AI helps translate the requirement into configuration, mapping and rules. People review business meaning and outcomes. The platform does not replace missing access permissions, responsibility for data quality, external system fees or necessary acceptance testing.

09

An integration needs more than a successful connection test

Reachability, configuration validation and actual execution are separate checks. A valid mapping does not prove that a target will accept every record. Test realistic edge cases before approving the intended operation.

10

Start free and choose scope deliberately

The Free plan includes up to two integrations per team, one manual start per day, a maximum runtime of one hour per day and AI validation. Scheduling and larger scopes follow the paid-plan terms. Registration is not the same as paid usage.

Which business case should no longer become another IT project?

Register for free & start a business case →