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Case 03

Social Media Posts for Every Article

Nobody writes posts anymore. A human decides what a post may do.

Today

Writing the right post for X and LinkedIn for an article, checking link and preview image and publishing takes around half an hour and often gets left undone.

Result

Before~30 minutes
After0 minutes
One mark: 5 minutes.

One post on X and LinkedIn every 48 hours, with no manual work per post. The rules stay with a human: tone, platforms, cadence and the accounts.

The workflow

  1. Comes in

    New articles from our own feed

  2. AI understands

    Selection and copy per platform

    • Picks the most relevant of the latest four articles
    • Writes one post each for X and LinkedIn
    • Fills in missing or overlong copy
  3. Software checks

    Length, link, tone, duplicates, account

    • Repairs length, link and tone, otherwise no post
    • No article that has already been posted
    • Posts only from the right account
  4. Lands with a human

    Rules, accounts and tone

    • Sets tone, platforms and cadence
    • Authorises the accounts on X and LinkedIn
AI picks and writes. Code checks and posts. A human sets 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 02

    Articles from Researched Sources

    Not every draft has to succeed. Only what passes the review gets published. AI writes. Rules decide what moves on. Humans set 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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