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Family-office staff each built a working AI agent for their own recurring job

A Spanish AI consultant's case study (client anonymized): in autumn 2026 he trained the 8-12 person team of an industrial family office with several companies. Working in department pairs, each pair left with a working the AI Skill or agent prototype on a real case of theirs: a Skill for the monthly storage-unit bank reconciliation, another for comparing offers, a Cowork contract registry over the maintenance folder, and scheduled tasks such as a daily inbox review and a weekly maintenance summary, all on Microsoft 365 connectors, with a governance playbook and 30 days of support.

How it works

  1. Online ecosystem session ending in homework: each person brings a real case
  2. In-person workshop in department pairs
  3. Build one Skill or agent prototype per pair on Microsoft 365 connectors
  4. Governance rules approved by management
  5. Automation map and internal playbook delivered

Why it’s worth knowing

Instead of one showcase bot, every pair of office staff left the workshop owning an agent for their own least-loved recurring task.

Where it’s from

Summarized from a public post on javadex.es. See the original ↗

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