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Agentic AI in iDevOps

AI agents for SAP Integration Suite

Deliver new interfaces in roughly half the time and resolve SAP Cloud Integration incidents faster. The iDevOps agents build from your own templates, check against your standards and learn from the incidents your team has already solved. Rojo runs them inside your network, and nothing goes live without your team's approval.

Start the iDevOps AssessmentTalk to an Integration Architect
Integration architect working with the iDevOps agent on SAP Integration Suite
40–60%
Faster delivery of new interfaces and changes
Request to go-live, from ~80–120 hours today
50%
Lower MTTR
Across P1 to P4 integration incidents, on a 24/7 SLA
4 agents
One shared knowledge base
Develop, Consult, Govern and Ops, working from your patterns, standards and past incidents
ISO 27001
Certified
The agents run inside your network

Where SAP integration teams lose time

Integration demand keeps growing. Your team doesn't. Most of the lost hours sit in three places.

Every interface starts from scratch

Developers rebuild work that already exists, because nothing tells them it does. With the agents, scaffolding, parameters, draft mappings and documentation come from your own templates and earlier interfaces.

Quality depends on who checks

Standards get applied unevenly when the review waits for a colleague with time. With the agents, naming, configuration and security standards are checked while the developer works, and the developer confirms.

Every incident starts from zero

Engineers trace root cause from the logs, even when the same error was fixed last quarter. With the agents, failures are matched against your known errors, approved fixes run on their own, and the business owner who can act gets an alert in Teams.

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How the iDevOps AI agents work

iDevOps is an integration DevOps lifecycle for SAP Integration Suite in which AI agents support design, build, test, deploy and monitor. Four agents, one shared knowledge base: your own documentation, patterns, standards and incident history, which today sit in Confluence, Jira, Git and a few people's heads. The agents prepare, check and propose; your team reviews and decides.

Develop role: interface scaffolding from existing templates

Develop: builds from what exists

Scaffolds new interfaces from your templates, sets parameters from your conventions, and drafts mappings and documentation. Ask it in Teams: “Build an interface for customer data from Salesforce to S/4HANA.”

Consult role: answers from your own design-time artefacts

Consult: answers before you build

Which templates exist, which operations an adapter supports, which naming convention your team follows, answered from your own artefacts: “Is there a template for Salesforce change events into Snowflake?”

Govern role: configuration checked against your standards

Govern: checks before anything ships

Configuration is checked against your standards, approval logic and compliance rules while the developer works. Every check is logged with the rule that fired and why.

Ops role: failures matched against a known error database

Ops: diagnoses, cures, engages

Matches each SAP Cloud Integration failure against your known errors, retries or self-heals the causes you approved, and alerts the business owner who can act: “3 invoices failed, incorrect IBAN: correct it in vendor master data.”

Built to run in your SAP production landscape

Three things decide whether AI agents belong in a production landscape: where they run, what they may change on their own, and who operates them.

Runs inside your network

The agents, the knowledge base and your patterns stay on infrastructure you manage. Nothing has to leave it. Your team works with the agents in Microsoft Teams or Slack.

Fixes only what you approved

Self-healing applies to known causes with a remedy you signed off. Everything else reaches an engineer with the root cause analysis ready. Every action is logged.

Deployed and operated by Rojo

Request a change, register an incident, get notified about updates, the way you already work with our managed services team.

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Two ways to start

See where your integration lifecycle loses time

Assess, lay the foundation, deploy the agent. Start with the three-minute assessment, or go straight to an integration architect. Worth it if delivery costs keep rising, demand outpaces your team, or standards are hard to enforce across everyone who builds.

Preview of the iDevOps Assessment: rating integration lifecycle activities from manual to automated
iDevOps Assessment

Rate 24 activities across six lifecycle stages, in about three minutes.
✓ Where the hours go
✓ What an agent could take over first
✓ What has to be in place before it can

Start the assessment
Talk to an Integration Architect

A 30-minute call with an integration architect, based on your landscape.
✓ Your incident history and recurring errors
✓ Where the agents help first
✓ What has to be in place before you start

Book a call
Get in touch