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How NTT Data uses Ema

ConfirmedVendor case study · Checked Oct 30, 2026
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The use case: how NTT Data deploys Ema

NTT DATA uses Ema's voice AI as the first point of contact for IT service desk support, such as password resets and access requests, for its enterprise clients. It connects to telephony and ticketing systems to resolve issues during the call, in multiple languages.

More reported results

Figures published in Ema’s case study. They are not independently measured by usedby.

90–95%

90–95% of employee queries are resolved end to end by Ema

15+

15+ languages, switchable mid-sentence, with consistent accuracy across all of them.

In the customer’s words

Ema is able to answer, act, and orchestrate - this is a game changer.
Abhinav Rajan, Global Head of Business, NTT DATA — Source

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More stories

Go straight to the source

Based on Ema’s published case study. We check the public evidence; the results are reported by the vendor.

ema.ai
Source published
Aug 18, 2026
Last checked
Oct 30, 2026
ema.aiCaptured Ema case study about NTT DataOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The figure: 1M+Checked

    Printed word for word on the page, near the name of NTT Data.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of NTT Data.

  • The publication dateChecked

    Read from the page’s own metadata, never guessed.

  • NTT Data uses EmaChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

Resolve the issue, don't route it. Ema doesn't triage callers toward a human queue. It answers, acts, and orchestrates across the systems behind the desk — resetting the password, provisioning the access, closing the ticket — while the employee is still on the call.
From the page. ema.ai