Managed service
Automation-led operations for SAP BTP. Across apps, integration, AI — and the platform underneath. Designed to get quieter over time.
Why managed service needs to change
Most managed services are designed around response. Tickets logged. SLAs reported. The same incident handled faster every month.
We work the other way.
Every event in our queue runs through the same assessment: will it happen again, can the response be automated safely, and is the automation worth building. The operation improves as it runs — and recurring work is either automated, assisted, documented, deliberately accepted, or eliminated entirely.
The method
Detect, diagnose, classify, decide, automate, operate, learn. Then back to the start with a quieter queue.
At Classify
At Decide
The five outcomes
Codified automation does the predictable work. Beta engineers do the judgement work. Four outcomes route the event in front of you. A fifth removes the event class behind it.
Safe, repeatable, reversible fixes execute without a human. Restarts, retries, replays, renewals.
Automation prepares the fix. A Beta engineer — still the expert in the room — approves or executes. Production-impacting changes, anything with reversibility risk.
Documented and never handled from cold again. Patterns that recur but where the right action varies by context.
Genuinely novel, vendor-side, business-process, or not worth automating. Closed, logged, moved on.
The cause is gone, not just handled.
Engineering the event out at the source. Where it is in Beta's control we fix it; where it is not, we surface the recommendation and escalate. The fifth outcome doesn't handle the symptom — it removes the underlying pattern from the operation entirely.
The surfaces
The same loop runs across every surface where events happen.
User-facing applications and the jobs that drive them.
ExploreInterfaces, message flows and the partners on the other side.
ExploreModels, agents and the workloads they run on.
ExploreEntitlements, identity, certificates, quotas — the substrate carrying all three.
What runs the loop
The service runs on three layers of tooling. Named, not hidden.
What changes over time
The volume of events stays roughly constant across the lifetime of an engagement. What shifts is who does the work. As patterns get classified, automated, eliminated and embedded, the loop does more — and your team does less of the repetitive parts.
Most events still need hands-on investigation. The loop classifies them, builds the first runbooks, and identifies the highest-value automation candidates.
Auto-remediation grows. Runbooks cover the rest. Engineering work starts to eliminate the worst recurring causes at the source.
Most events route to auto-remediate or runbook. Human attention concentrates on what actually needs it — the novel, the ambiguous, the judgement calls.
Illustrative mix. Actual distributions vary by surface, customer, and engagement.
The limits
Genuinely novel incidents. Business judgement. Vendor-side failures we can't reach into. High-risk changes where the cost of being wrong outweighs the cost of waiting. Ambiguous data issues where the right response depends on context only your team has.
Automation is not the goal. The right response is.
How to start
Beta built the app, integration or AI workload. We stay close to what we built. Design context carries into operations. No handover gap.
See how this connects to AI Scale & OperateYou have an existing SAP BTP landscape. We assess the landscape, baseline recurring noise, establish monitoring and start the retirement loop. The first quiet quarter starts here.
Talk to us about onboardingYou have an internal support team or an existing SI relationship. We run the automation and improvement layer alongside your team. Recurrence reduces without ownership changing.
Talk to us about co-pilot