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Case 02

Articles from Researched Sources

Not every draft has to succeed. Only what passes the review gets published.

Today

An article needs research, reliable sources, text in German and English, metadata and images in four formats.

Result

Before~3.5 hours
After~15 minutes
One mark: 5 minutes.

Around 93% less work per article. The agent takes over research, writing, translation, metadata and images; the human keeps the approval.

The workflow

  1. Comes in

    Topics, keywords, source rules

  2. AI understands

    Sources, text, translation, images

    • Search and select sources
    • Write, translate and score every draft
    • Image concept and images in four formats
  3. Software checks

    Sources, duplicates, a threshold of 85 points

    • Only sources that are actually reachable
    • No similar topic within 14 days
    • Without a source or with an unsupported claim, no draft moves on
  4. Lands with a human

    Finished articles for approval

    • Sets topics, quality rules and models in one configuration
    • Approval before publication
AI writes. Rules decide what moves on. Humans set the rules.

Selected cases from engineering, finance, purchasing, sales, marketing, support, legal and content.

  • Case 01

    Data capture from approved documents

    Models propose, code decides. Code reads what it can read reliably. AI fills in the rest. The human reviews instead of typing.

  • Case 03

    Social Media Posts for Every Article

    Nobody writes posts anymore. A human decides what a post may do. AI picks and writes. Code checks and posts. A human sets the rules.

  • Case 04

    Inquiries Captured in Conversation

    A form asks what it knows. A workflow rarely fits into the first sentence. The agent asks. Software checks the brief. Only what a human approves is sent.

  • Case 05

    Invoice and Purchase Order Verification

    The standard case is rarely the problem. The effort comes from the deviations. Automate the standard. Give humans the exceptions.

  • Case 06

    Quote Preparation from Customer Inquiries

    The information for a quote already exists. It is just scattered. AI prepares the quote. The expert makes the decision.

  • Case 07

    Technical Document and Compliance Review

    The review takes expertise. Finding the evidence does not. AI prepares the compliance review. The decision stays with the responsible human.

  • Case 08

    Customer Support → Engineering

    The bottleneck is not the technical analysis, but the missing context. Engineering gets the relevant context before the actual analysis begins.

  • Case 09

    Supplier Comparison in Purchasing

    Every offer arrives in a different format. Comparison starts once they all look alike. AI structures the comparison. The purchasing decision stays with the human.

  • Case 10

    Contract and Order Review

    The goal is not to approve contracts automatically, but to find deviations reliably. AI finds, structures, compares and escalates. Humans decide and take responsibility.

  • Case 11

    Master Data Cleansing and Entity Resolution

    One company, three spellings, two IDs. An exact match will not find it. AI finds candidates. Rules limit the matching. Humans decide when in doubt. Only then does the system write.

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