Illustrative scenario

Support replies grounded in approved knowledge

This example considers a service company with many recurring questions. Useful answers are spread across manuals and older tickets. Staff have to establish which information is current and applicable to the particular client.

WERKVERSTAND / CONNECTING INTELLIGENCE

The essential answer

The aim is reply preparation that brings drafts and evidence together. Knowledge gaps become visible and can be addressed deliberately. Whether handling time and answer quality improve is tested against the same enquiry types before and during the pilot.

The assumed starting point

This example considers a service company with many recurring questions. Useful answers are spread across manuals and older tickets. Staff have to establish which information is current and applicable to the particular client.

How the workflow could work

A possible knowledge base contains only approved, current information. AI finds relevant passages and uses them to prepare a suggested reply. An accountable person checks the sources and client context; exceptions and complaints receive a separate escalation route.

The intended result

The aim is reply preparation that brings drafts and evidence together. Knowledge gaps become visible and can be addressed deliberately. Whether handling time and answer quality improve is tested against the same enquiry types before and during the pilot.

What the pilot must verify

Pricing commitments, refunds and contract changes remain separate from reply generation. Unsupported statements lead to a clarification request. Testing must include outdated sources, ambiguous questions and missing knowledge.

The next sensible step

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