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PATTERN

Email & newsletter workflows

Mailbox → sender filter → attachment or content → AI understanding where needed → naming → structured filing → marking as done.

Routine emails process themselves: newsletters into the knowledge archive, invoices into the accounting folder, spam into the bin — all rule-based, with AI understanding only where genuinely needed.

When this pattern fits

Three pain points where the effort pays off.

  1. Routine emails — newsletters, invoices, confirmations — cost daily attention without delivering value.

  2. Attachments end up scattered across hard drives instead of in the knowledge archive or accounting folder.

  3. Every Outlook rule is a piece of technical debt; what does not get resolved accumulates.

How the pattern is built

Five steps, from input to filing.

  1. Mailbox

    IMAP, POP3, Exchange.

  2. Sender filter

    Rule-based, precise, fast.

  3. Content + attachment

    AI only where genuinely needed.

  4. Naming + filing

    Structured paths, deterministic.

  5. Done

    Mark, archive, forward.

Live example

From real operations.

Customer Eigenentwicklung EMAIL-WORKFLOWS

From the chaos of invoice emails, a clean accounting folder emerges automatically — every PDF with the right name, in the right monthly directory, without anyone opening, renaming, and moving.
See the case

What is deliberately out of scope

Three places where we leave it to a person.

  • Substantive replies to business mail. The AI sorts and files — it does not draft contracts.

  • Mass sending. We build inbound workflows, not marketing engines.

  • Heuristic spam filtering. Existing filters stay; we only catch what slips through.

Typical project scope

Discovery → pilot → rollout.

  1. Discovery

    One to two weeks. We understand your concrete bottleneck, look at the available sources and decide together whether the pattern is really the right answer here.

  2. Pilot

    Four to eight weeks. A scoped variant on real data, with a small user group. Dry-run before every write, clearly defined success criteria.

  3. Rollout

    From two months onwards, fluid. Extension to further sources, teams or sites. Hand-over to operations with documented architecture and training for those responsible.

Talk to us

Two doors, one address.

Specific bottleneck?

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No obligation, no cost, with concrete next steps at the end.

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Your own AI platform?

See CompanyWizard live in action.

Demo with your own data is possible. We bring the pseudonymisation set up and ready.

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