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Genial — Generative IA Lab

SNCF

SNCF's AI agent for automated document verification at scale

A special offer for high-school graduates, a huge volume of documents to check in little time. An AI agent verified eligibility with a success rate above 95%, without bringing in extra staff.

Industry
Public sector
Roles
Customer service

Key figures

  • A success rate above 95% on verification.
  • Under 2% of documents could not be analyzed, despite the variety of formats.
  • An operation that would have been impossible to run by hand, completed without operational overload.

For a campaign that required checking a very large volume of eligibility documents in a short time, SNCF had to guarantee speed, reliability and a smooth process.

To absorb this peak without bringing in extra teams, the company opted for intelligent automation.

The context: a verification peak no team could absorb by hand

Manual document checks had two limits: the risk of human error, and an operational load that was hard to sustain during busy periods.

The goals set at the start

The project set four goals.

  • Speed up document validation.
  • Reduce errors due to human reading or interpretation.
  • Guarantee a reliable operation at scale.
  • Offer a fast experience to participating graduates.

The solution: document analysis and automated eligibility rules

GENIAL built an automatic verification agent able to process eligibility documents in bulk. The innovation lies in combining advanced document analysis with automated business rules.

  • Smart document scanning, which detects and extracts the required information automatically.
  • Automated eligibility checks, applying the rules defined for the operation.
  • High accuracy, even across varied document formats and quality.
  • Continuous processing, to absorb very high volumes in a limited time.

Results and impact

SNCF ran its initiative without operational overload, with a level of accuracy far above manual verification.

  • A success rate above 95% on verification.
  • Under 2% of documents could not be analyzed, despite the variety of formats.
  • Much faster processing, for an operation that would have been impossible to run by hand.

Agents deployed

What runs in production

Geni-Support

Eligibility document verification

Reads each document, extracts the relevant information and applies the operation's eligibility rules, continuously and at scale.

95%+

success rate on verification

< 2%

of documents could not be analyzed

1 month

of development

2 people

on the GENIAL team

Key takeaways

What this story tells organizations facing document peaks

When a wave of verifications arrives all at once, the only alternative to automation is hiring for a few weeks. An agent that applies explicit rules to each document absorbs the peak, and leaves teams the few cases it cannot decide.

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Do your teams check documents all day long?

Thirty minutes to assess, on your own documents and rules, what a verification agent can take over.

Geni, the GENIAL AI agent, and Alicia

Frequently asked questions

Scoping takes 2 to 3 weeks and ends with a prioritized roadmap; deploying the first agents takes 4 to 6 weeks. The first measurable time savings usually show up after two to three months.

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