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Good practice Imported

Anta — Sénégal Numérique's AI Chatbot Guiding Citizens Through Nearly 700 Government Procedures

Senegal · Dakar · See the Senegal profile · See the Dakar profile

Evidence: Descriptive / self-reported Top 83% 40/100 · Ask Evidence Copilot about this practice

Sénégal Numérique SA's Anta chatbot uses natural-language understanding and voice recognition to guide citizens through the nearly 700 administrative procedures listed on Senegal's official Service Public portal, replacing rigid menu trees — though no usage or outcome statistics

Anta — Sénégal Numérique's AI Chatbot Guiding Citizens Through Nearly 700 Government Procedures

Details

Promoter
Sénégal Numérique SA
Period
2024–present (exact launch date not publicly disclosed)
Keywords
digital government, citizen services, chatbot, natural language processing

Context

Anta is a chatbot built by state-owned agency Sénégal Numérique SA and embedded in Senegal's official Service Public portal in Dakar, one of the delivery tools under the 'Administration Connectée' digital-government strategy.

Objectives

Centralise guidance, forms and next steps for nearly 700 administrative procedures into a single conversational entry point, reducing the friction and repeat visits that have kept Senegal's e-government maturity score below regional peers.

Activities

Rather than a fixed menu of options, Anta uses natural-language processing to interpret citizens' questions in ordinary language and supports voice interaction, a deliberate design choice to serve people with lower literacy or greater comfort speaking than typing.

Conclusions

Sénégal Numérique SA and independent coverage describe Anta's functionality and purpose in detail but do not disclose a launch date, query volumes, resolution rates or user-satisfaction data; the evidence here rests on the system's documented design rather than measured impact.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Short (< 1 year)
Staffing & skills
Sénégal Numérique SA product/engineering team

Conditions for success

  • Reliable natural-language understanding and voice recognition across local usage patterns
  • Integration with the existing Service Public portal and its nearly 700 procedures

Common failure modes

  • No launch date, query volumes, resolution rates or user-satisfaction data have been disclosed

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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