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Good practice Imported

AlemGPT — Kazakhstan's Multi-Agent Conversational AI Pilot for One-Stop Public Service Delivery

Kazakhstan · Astana · See the Kazakhstan profile · See the Astana profile

Evidence: Descriptive / self-reported Top 93% 27/100 · Ask Evidence Copilot about this practice

Kazakhstan's AI Ministry began testing AlemGPT in January 2026 — a ChatGPT-style assistant meant to let citizens complete public services by describing their situation in text — atop an eGov platform serving 11.7M mobile users, but with no usage results yet disclosed.

AlemGPT — Kazakhstan's Multi-Agent Conversational AI Pilot for One-Stop Public Service Delivery

Details

Maturity
Pilot
Promoter
Ministry of Artificial Intelligence and Digital Development of the Republic of Kazakhstan
Period
January 2026–present (testing phase)
Keywords
conversational AI, multi-agent systems, e-government, digital transformation, public sector AI governance

Context

AlemGPT is a multi-agent conversational AI platform that Kazakhstan's Ministry of Artificial Intelligence and Digital Development began testing in January 2026, intended to replace eGov portal navigation with a ChatGPT-style dialogue. It sits atop an already large digital-government base: as of 2025, Kazakhstan's eGov.kz portal and eGov Mobile app together had over 15.1 million and 11.7 million registered users respectively, delivered 51.5 million online services during the year, and made roughly 90% of the country's 1,300+ public services available online. In August 2025 the eGov Mobile app separately added an 'AI intelligent search' feature.

Objectives

Officials describe AlemGPT as evolving toward a 'fully fledged AI assistant' and have stated an intention to migrate up to 40% of public services onto AI-integrated delivery, though this figure is reported elsewhere and not officially confirmed.

Activities

The pilot was announced on 6 January 2026 and, as of the most recent reporting in May 2026, AlemGPT itself had not processed a publicly disclosed volume of citizen interactions. The figures on eGov.kz and eGov Mobile usage describe the surrounding platform, not AlemGPT.

Conclusions

Independent Kazakhstani outlets and international coverage (Euronews) confirm the platform is still in a testing phase, with no usage statistics, accuracy rates, error rates or independent evaluation published anywhere, and no third-party assessment of AlemGPT's performance, data-handling practices or risk of error found. This is included as a transparent, real, but currently unevidenced pilot.

Implementation
Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
Ministry of Artificial Intelligence and Digital Development of the Republic of Kazakhstan, Built on top of existing eGov.kz / eGov Mobile digital-government infrastructure

Conditions for success

  • Publication of usage, accuracy and error-rate statistics
  • Independent third-party evaluation of performance and data-handling practices
  • Official confirmation (or correction) of the reported 40% service-migration target

Common failure modes

  • No usage statistics, accuracy rates, or error rates published as of the most recent reporting (May 2026)
  • All commentary comes from government officials and state-linked outlets, with no independent assessment found
  • Migration target of 40% of services is unconfirmed officially and reported only elsewhere

Commonly funded by

National / regional programmes

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Data sources

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Attachments

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