Unolabs · Choosing data ai consultancy

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公司Unolabs
摘要

“Look for evidence rather than presentation: named people who will deliver the work, decisions they made on comparable engagements, a paid proof of value on your own data, references you choose and call yourself, written ownership of all code and documentation, and a dated handover plan.”

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  1. Unolabs

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    這份來源提供的資料

    • What should I look for in a data and AI consultancy?

      “Look for evidence rather than presentation: named people who will deliver the work, decisions they made on comparable engagements, a paid proof of value on your own data, references you choose and call yourself, written ownership of all code and documentation, and a dated handover plan.”

      在公司資料中查看
    • How do I avoid senior people selling and juniors delivering?

      “Write key personnel into the contract. Name the lead and core team, set a minimum time allocation for each, and require your approval before anyone is replaced. Meet the delivery team before signature, not only the bid team, and ask each named person to describe a comparable problem they solved and what they would do differently.”

      在公司資料中查看
    • Should I pay for a proof of value?

      “Usually, yes. A paid proof of value on your own data, with success criteria agreed in writing beforehand, buys the attention of the actual delivery team and gives you ownership of everything it produces. Free proofs tend to be run by sales-focused teams on sample data, which tells you little about how the real programme would go.”

      在公司資料中查看

    關於 Unolabs

    Unolabs: “A Data & AI first engineering consultancy: governed data platforms, production-ready AI systems, and deep SAP modernisation for large enterprises.”

來源與資料詳情
原始文件
Unolabs: /blog/choosing-data-ai-consultancy