Integration & automation · agents

An agent is a caseworker — not a magic box.

Agents take over steps such as document checks or pre-qualification — with the same rights, limits and audit trail as a human caseworker. What makes that work is not more AI but clear responsibilities and fresh data.

Three things must be right

If one of them is missing, automation turns into risk. Together the three make the agent a reliable part of the process.

smart_toy

AI agents as a process step

The agent sits in the process model like any other task: with input, output, time limit and escalation. If it takes too long or is unsure, the task goes to a human — not into the void.

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Tasks & responsibilities

Every agent has a role with exactly the rights it needs — no more. What it may decide, where it must ask and who is accountable is fixed up front and readable in the audit trail.

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Feed AI with fresh data

An agent on last night's data makes last night's decisions. Event streaming gives it the state of now — the difference between helpful and dangerous.

How we get to automation

We don't automate the whole process at once. We take the step that eats the most time and needs the least judgement — and build out from there.

1

Find candidates

Which step runs often, follows rules and costs people time? High frequency, clear criteria, little discretion — that is the first candidate.

2

Set the boundaries

What may the agent decide alone, at what amount or uncertainty does it ask? The boundary is drawn in writing up front, not debated afterwards.

3

Connect access and data

The agent gets its own identity with least-privilege rights and access via APIs or MCP — to live data, not yesterday's exports.

4

Measure in shadow mode

The agent decides alongside, but not yet effectively. We compare its proposals with the caseworkers' and see in numbers where it is reliable and where not.

5

Release step by step

The clear cases first, then more. What the agent cannot do reliably stays with people. The release boundary moves when the numbers justify it — not on request.

∞

Monitor instead of forget

Hit rate, escalation rate and handling time stay visible. If quality drifts, the boundary pulls back automatically — before anyone outside notices.

WHAT THIS ACTUALLY DELIVERS
24/7

processing without a Monday-morning queue — requests flow through as they arrive.

100 %

traceable: every agent decision is in the audit trail, with rationale and data state.

0

silent exceptions — what the agent may not decide lands with a human, not in limbo.

Technologies

Orchestration, tool access and observability — combined vendor-neutrally.

LangGraphMicrosoft Agent FrameworkOpenAI Agents SDKMCPLangSmithRAG · Vektor-DB

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Uwe Winnwa
Sales · cloud37 AG

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No standard pitch. I listen, ask the right questions and give an honest assessment — even if we are not the right partner.