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  "title": "STREIT: an AI agent in customer service | MING Labs",
  "description": "Meet Tabea, the AI agent MING Labs built with STREIT to prepare customer orders, with people in control. A Hybrid Organisation customer story.",
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  "dateModified": "2026-10-06",
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  "contentMarkdown": "---\ntitle: \"STREIT: an AI agent in customer service | MING Labs\"\ndescription: \"Meet Tabea, the AI agent MING Labs built with STREIT to prepare customer orders, with people in control. A Hybrid Organisation customer story.\"\ncanonical: https://www.minglabs.com/work/streit\nlang: en\nlast-updated: 2026-10-06\n---\n\n# An AI agent in everyday customer service.\n\n[← Back to MING Labs](/#streit)\n\n![STREIT](/_astro/logo.BJqrTrZB_ZXovRa.webp)\n\nCustomer storyHybrid Organisation / Customer service\n\n\n\nMING Labs and STREIT built Tabea to turn incoming order emails into order proposals. She works in STREIT’s customer service team, with people in control.\n\n![STREIT colleagues working together in their office](/_astro/workplace.QLDburvi_1yTFO5.webp)\n\nThe STREIT team. Photograph: STREIT.\n\nThe company\n\n## A workplace business.  \nA working AI colleague.\n\nSTREIT is a German provider of office supplies, workplace technology and services. Customer orders arrive by email, carrying information that needs to be understood and matched to the right customer and products.\n\nWorking with STREIT, MING Labs built Tabea for this specific role: preparing order proposals and handing unclear cases to the customer service team.\n\n[About STREIT ↗](https://www.streit.de/ueber-uns/streit-gruppe)\n\nTabeaCustomer service · STREIT\n\nThe work\n\n## From email to order proposal.\n\n1.  01\n    \n    ### Incoming orders\n    \n    Customers send their orders by email.\n    \n2.  02\n    \n    ### Tabea prepares a proposal\n    \n    Reads the email, matches customers and products, and creates an order proposal.\n    \n3.  03\n    \n    ### People handle exceptions\n    \n    Unclear cases go to the customer service team. People stay in control.\n    \n\nThe reported result\n\nUp to\n\n40–50%\n\n## of orders prepared automatically\n\nReported by STREIT · September 2026\n\nFigures reported by STREIT, not independently verified. The 40–50% figure refers to orders prepared automatically; up to 120 hours is capacity gained per month. The 80% automation rate is a target, not a result already achieved. The source does not specify the measurement period, order volume or capacity calculation. Results depend on the use case.\n\nThe result describes order preparation. People retain control and handle cases that need their judgement.\n\nFigures supplied in STREIT’s customer-story material, checked on 6 October 2026. STREIT’s original write-up is not yet publicly available.\n\ncapacity gained per month\n\nUp to **120** hrs\n\ntarget automation rate · Future goal\n\n**80%**Working towards this target\n\nFrom one role to a Hybrid Organisation\n\n## How could this work  \nin your team?\n\nExplore how tasks, roles and systems come together when an agent joins a team.\n\n[Explore the interactive story ](/#experience)[Talk to MING Labs ↗](/contact)\n\n## Available actions\n\n- **Copy briefing for my AI**: copies the [AI briefing](https://www.minglabs.com/briefing.md) to the clipboard in the browser.\n\n---\n\nCanonical: https://www.minglabs.com/work/streit\nMachine-readable index: https://www.minglabs.com/llms.txt\n",
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