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Resolve 600,000 employee queries across 87,000 staff

LTM's RAIma super-agent, built in an AI app Studio and embedded in Teams and Microsoft 365 the AI, handles attendance corrections, leave applications, seat booking and hardware requests across more than 87,000 employees. It has resolved over 600,000 queries at roughly 100,000 prompts a month, verifies medical documents for sick-leave approvals, and cut automated campus-onboarding email effort by more than 90%.

How it works

  1. Build RAIma in an AI app Studio on Azure OpenAI with SharePoint and ServiceNow connectors
  2. Deploy inside Teams and Microsoft 365 the AI
  3. Employees file leave, correct attendance, book seats and raise hardware requests in chat
  4. Agent verifies medical documents for sick-leave approvals (30,000+ records)
  5. Automated onboarding emails cut manual effort by over 90%

Why it’s worth knowing

One chat agent became the front door to HR transactions for a workforce the size of a small city.

Where it’s from

Summarized from a public post on windowsforum.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be
2The prompt, with the steps
3The check when it’s done
Upgraded prompts are coming soon.

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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.