Top 10 AI Prompts and Use Cases and in the Government Industry in Kazakhstan

Kazakhstan has vaulted AI from pilot projects to a national mission: the government approved an AI development concept through 2029 and is building a national strategy and legal framework to weave AI into e‑government, healthcare, education and the broader economy, driving public services that are now “20x faster” and with 92% available online (and reported savings of 51.3 billion tenge) - see the Astana Times coverage of AlemLLM, alem.cloud and the new supercomputer cluster for details.

Presidential direction includes a dedicated Ministry of AI and the Digital Code to standardize deployment and protect data sovereignty; summaries of those institutional moves are available from The Times of Central Asia and policy briefs on Digital Qazaqstan.

The result: an ecosystem that pairs national platforms with upskilling (AI Qyzmet) so Kazakhstan can scale automated citizen services without losing sight of legal and human‑capital guardrails.

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“The government is tasked with ensuring the total implementation of artificial intelligence to modernize all sectors of the economy.”

Selection began with citizen impact: prompts that answer common inquiries, guide complex applications, gather feedback, point to legal help, and surface community supports - the five high‑value templates Proto recommends for faster, more consistent citizen service and local‑language accessibility (Proto: five best AI prompts for government citizen experience chatbots).

Next, governance and risk were layered into every use case following VerityAI's system‑prompt framework: constitutional, regulatory, operational and contextual layers to harden controls, versioning, and monitoring so prompts can't be trivially overridden or poisoned (VerityAI system prompt governance framework).

Practical filters narrowed the list to “fast wins” that cut friction and cost (Proto's deployments cut response times to seconds) while flagging high‑risk areas - health, benefits, identity verification - for stricter oversight in line with national data‑sovereignty and trusted‑software priorities that drove Kazakhstan's broader rollouts and reported savings like the Kazakhstan government AI savings: 51.3B tenge case result.

Finally, selection required adversarial testing and privacy checks informed by the fast‑deployment harms flagged in public‑interest research, so each prompt template balances measurable citizen value with clear guardrails and escalation paths - because a single bad answer on a benefits claim can cost someone their access to services, not just convenience.

System prompts represent the new frontier of AI governance - the primary mechanism through which organisations implement values, enforce ethics, and ensure compliance in advanced AI systems.

eGov.kz has matured from an information portal into a live, transactional platform where AI prompt templates can shave minutes off bureaucratic friction: the recent eGov Mobile redesign added intelligent search and quick access to digital documents, and the portal now supports specific mobile services - re‑admission to military educational institutions, guardians' permissions to manage wards' property, online private practice registration, and even outpatient clinic registration during the annual campaign - making these ideal targets for guided‑application prompts that prefill fields, surface required documents, and suggest next steps when a user stalls; the same templates can call stronger identity checks when a risky flow (licenses, export permits, technical inspection authorization) is detected while drawing on the national Open Data sets to validate addresses and codes.

Kazakhstan's digital push isn't theoretical - citizens can register a legal entity in roughly 10–15 minutes and the government reports about 92% of services online - so practical prompt patterns (intent routing, document extraction, escalation to human agents) can convert those gains into consistent, explainable outcomes.

For an up‑to‑date view of services and recent mobile improvements see the eGov.kz official portal for public services in Kazakhstan, explore machine‑readable sources on the Kazakhstan Open Data portal (government datasets), or read the Digital Kazakhstan program analysis (policy context).

Metric	2024 value
UN E‑Government Development Index (EGDI)	24
E‑participation index (EPI)	27

eGov Mobile is where Kazakhstan's mobile‑first strategy meets conversational UX: the app's intelligent search and new AI virtual assistant guide users in plain language through “real‑life” scripts - step‑by‑step flows that surface the right service, surface required docs, offer interactive surveys, and suggest alternatives when a path stalls - while tighter security layers (biometrics and stronger identity checks for sensitive flows) are woven into the chat so answers stay useful and verifiable; the update even adjusts screen brightness automatically for night‑time QR checks, a small detail that makes a big difference at the kiosk or clinic.

These conversational prompts shorten journeys for millions (the platform has grown into the millions of monthly active users), integrate with private superapps, and turn scattered menus into one predictable, explainable route to a result - see the eGov Mobile official feature rundown and BiometricUpdate coverage of eGov mobile growth and biometrics rollout for context and numbers.

Metric	Value (source)
Registered users (eGov portal)	14.7–14.8 million (Astana Times report on eGov users / BiometricUpdate coverage of biometric rollout)
eGov Mobile transactions (H1 2025)	≈12 million via mobile (BiometricUpdate article on eGov mobile transactions)
% of services via smartphone	~45% of all services (Astana Times analysis of mobile service adoption / BiometricUpdate report on mobile service share)
Average monthly active users (eGov Mobile)	5.8 million (BiometricUpdate monthly active users report)
Digital Documents accesses	41 million+ (BiometricUpdate digital documents usage data)

Biometric Digital ID transforms verification prompts from yes/no checks into risk‑aware conversations: when a user starts an eGov transaction the system can surface a soft identity score, escalate to remote biometric authentication for high‑risk flows (loans, permits, licenses), or offer legal fallbacks like one‑time SMS passwords or digital signatures - exactly the mix Kazakhstan is rolling out as part of a national biometric authentication system supervised by the Ministry of Digital Development and implemented via a joint venture between National Information Technologies JSC and BTS Digital (see the ID Tech report on Kazakhstan national biometric authentication system).

Prompts for fraud detection tie into the NBK's Anti‑Fraud Center and mandate stronger cybersecurity controls for financial eKYC, while mobile flows already enable biometric checks across banks and the eGov app (users can now carry 38 types of digital documents on their phones).

A practical prompt pattern: verify identity → run biometric match → if ambiguity, request alternate authentication + flag for Anti‑Fraud review - a design that balances convenience (even Face Pay trials at Almaty Metro stations have shown how seamless biometrics can be) with legal and privacy guardrails highlighted by civil‑society reviews and DPI lessons from CSIS.

Metric / fact	Source / value
National biometric system launch	Planned by year‑end; joint venture: National Information Technologies JSC & BTS Digital (ID Tech report on Kazakhstan national biometric authentication system)
eGov registered users & mobile transactions (H1 2025)	14.8M users; ~12M mobile transactions (BiometricUpdate report on Kazakhstan eGovernment growth H1 2025)
Bank adoption	Almost all second‑tier banks use biometric authentication (BiometricUpdate: bank biometric adoption report)

“The launch of the national system is expected to occur through the establishment of a joint venture between National Information Technologies JSC and BTS Digital,” Bektenov stated.

AlemLLM - the country's largest Kazakh‑language large language model - is becoming the linguistic engine for public administration, promising prompts and templates that speak citizens' language rather than a clumsy translation; the model was showcased as one of the flagship solutions running on the new alem.cloud supercomputer (a cluster capable of about 2 exaflops) and is explicitly positioned to power e‑government and AI development across sectors (Euronews report on Alem.cloud supercomputer and AlemLLM).

Open access to AlemLLM has been introduced so startups, universities, and companies can build Kazakh‑centric chat assistants, automated form‑fillers, and government‑grade content generators that reduce friction in citizen services while keeping models and data within national infrastructure (Prime Minister's office statement on AlemLLM open access and digital ecosystem).

The practical upshot: localized prompts that cut errors and speed service delivery, backed by home‑grown compute - a tangible step toward digital sovereignty even as talent and maintenance remain long‑term priorities.

“Kazakhstan's experts and politicians alike believe that without its own localised solutions and infrastructure, no country in the future will be successful, or even independent and sovereign.”

Alem.cloud can be treated as Kazakhstan's government-grade AI platform: deployment decisions should align with data sovereignty, latency and security needs - choosing between managed cloud, on‑premise, edge or hybrid approaches depending on the use case - and wrap those choices in LLMOps and MLOps practices that monitor models, manage data pipelines, and automate retraining and governance.

Open‑source LLMs are especially attractive for public administrations because they allow local control and auditability (see Booz Allen's case for open‑source in government), while practical deployment guides show the tradeoffs of cloud vs on‑prem vs hybrid for performance, cost and customization (see IT Convergence's deployment options).

Operationally, LLMOps brings the everyday disciplines governments need - real‑time monitoring, drift detection, security/compliance checks, and retraining pipelines - so Alem.cloud can host AlemLLM instances that stay accurate, explainable and auditable for citizen services; Google Cloud's LLMOps primer is a useful reference for those operational practices.

Think of it as running a city's transit control room for language models: when something goes off‑route, dashboards and escalation playbooks catch it before citizens do.

Deployment option	Best fit	Key trade‑off
On‑prem / private cloud	Sensitive citizen data, long‑term scale	Higher upfront cost, stronger control
Public / managed cloud	Fast pilots, lower startup cost	Faster time‑to‑value, less customization
Hybrid / edge	Low‑latency mobile services and kiosks	Complex orchestration, balanced control

“As a global technology and consulting company fully committed to serving as a partner of choice to the Kingdom and driving its digital transformation, we are very pleased to have partnered with the Saudi Data and Artificial Intelligence Authority,” said Ayman AlRashed.

The Social Wallet is a purpose‑built digital channel for targeted subsidies that's already turning abstract budget lines into verifiable meals: its first application pays for free and subsidised school lunches, lets parents check in real time via the eGov Mobile Social Wallet interface, view menus and leave feedback, and introduces machine‑readable audit trails so officials can confirm delivery rather than just issue checks - a transparency play being scaled nationwide (Kazakhstan Prime Minister Office summary of the Social Wallet pilot).

Deployment is practical: of 6,943 public secondary schools, 2,369 are fully equipped and 3,950 use the Business Wallet app to record hot‑meal distribution, while pilots using programmable digital vouchers have shown how a student tapping a terminal can trigger an automatic transfer from the school account to the canteen operator - an archetype for fraud‑resistant, traceable subsidies (Currency Research podcast on Kazakhstan digital voucher pilots).

Plans call for expanding Social Wallet functionality to preschool services, camps, dorms and other social supports as a single, auditable delivery layer.

Metric	Value / note
Total public secondary schools	6,943
Fully equipped schools	2,369
Schools using Business Wallet app	3,950 (meal distribution monitoring)

Kazakhstan's eHealth story is a natural fit for AI-powered triage and digital medical certificates: a decades-old telemedicine network (launched in 2004) has already routed roughly 200,000 remote consultations, proving that automated triage prompts can steer patients to the right specialist, pre-populate electronic records, and trigger a digital medical certificate or referral without an extra clinic visit - especially valuable where 46% of people live in rural districts and a village clinic may rely on internet‑connected stethoscopes, ophthalmoscopes and ECGs to stream live data to city experts.

Practical templates include symptom intake → risk stratification → suggested next step (teleconsult, local clinic, urgent transfer) and a secure endpoint that writes a paperless report into the National Electronic Health Record; this reduces transport, speeds care, and feeds analytics for personalized‑medicine plans.

Success depends on workforce readiness and data governance, so prompts should embed escalation rules and data‑privacy checks aligned with the Ministry's eHealth roadmap and WHO guidance on building digital health skills and capacity.

Metric / fact	Value / note
Telemedicine consultations (network)	≈200,000 (telemedicine network history and usage)
Sites equipped with telemedicine devices	Installed in ~50 clinics and 75+ rural sites (remote diagnostic equipment)
Digital health app reach	Some vendors ~2 million users; 200,000+ in self‑management programs

“Rural health in Kazakhstan presented a number of unique challenges, such as inadequate infrastructure, climatic difficulties, isolated, under‑trained and overworked health staff…”

AI Qyzmet is the government's practical coaching layer for civil servants: modular short video lectures and role‑based prompts teach the ethical, task‑focused use of AI so administrators can apply automated form‑fillers, guided decision prompts and escalation rules without breaking data or legal guardrails; the program - billed as the first in Central Eurasia to train civil servants in AI skills - has already reached roughly 16,000 officials and aims to scale to about 30,000 specialists per year as part of a wider drive to train hundreds of thousands of citizens in AI (Astana Times briefing on AI Qyzmet and the Presidential program summary of Kazakhstan's digital ecosystem initiatives).

That push matters because independent research finds major gaps - 66.9% of civil‑service job ads omit digital skills and more than half of surveyed staff report no formal digital training - so AI Qyzmet's value is not just tech literacy but closing a real‑world mismatch between automated services and the people who operate them (Study on digital competency gaps in Kazakhstan's civil service).

When prompts are taught alongside governance and auditing habits, upskilling becomes the practical safeguard that helps lock in Kazakhstan's efficiency gains while reducing the risk that automation outpaces the workforce charged with running it.

Metric	Value
Civil servants trained (to date)	~16,000 (Astana Times briefing on AI Qyzmet)
Annual training target	~30,000 specialists/year (Astana Times briefing on AI Qyzmet)
Five‑year civil‑servant target	90,000 (national training plan)

“This is a strategic initiative of the Kazakh government.”

The Kazakhstan AI Supercluster at Alem.cloud turns national ambition into practical prompts for simulation, disaster response and city planning: the Tier‑III data centre houses a 2‑exaflop cluster built on NVIDIA H200 accelerators that will both power e‑government services and train large models like AlemLLM, enabling fast urban‑traffic simulations, early forest‑fire detection analytics, and large‑scale health and infrastructure planning without shipping sensitive data offshore - a capability the government says cuts reliance on foreign clouds and supports startups, universities and public agencies with home‑grown compute (see the Euronews report on Alem.cloud and the Astana Times explainer of the supercomputer).

The result is practical prompt patterns - run high‑resolution simulations, flag anomalous sensor data, auto‑generate evacuation plans and route emergency resources - that turn raw petabytes into actionable public‑safety decisions; to put scale in human terms, ministers note the system can do in one second what billions of people could not do in days, a reminder that compute at this scale changes what governments can predict and prevent.

Attribute	Detail
Peak performance	≈2 exaflops (FP8)
Hardware	NVIDIA H200 accelerators
Location	Alem.cloud supercomputing centre, Astana
Main uses	e‑government services, AI model training, simulations (traffic, disaster, health)
Flagship demos	AlemLLM, early forest‑fire detection, SmartCity digital twin

“Kazakhstan's experts and politicians alike believe that without its own localised solutions and infrastructure, no country in the future will be successful, or even independent and sovereign.”

Aitu is fast becoming Kazakhstan's official messaging layer for secure government communication: the Digital Headquarters ordered all agencies and quasi‑public bodies to adopt the domestic messenger (employees begin switching by Sept.

15, with the Ministry of Defense finishing a staged rollout by year‑end), and the app already claims roughly six million registered users - nearly one‑third of the country's 20 million population - giving the platform instant scale for service notifications, operational alerts and tighter integration with e‑government tools like eOtinish (Astana Times: Kazakhstan rolls out domestic messenger for state institutions).

Built and hosted inside Kazakhstan to keep personal data under national law, Aitu is positioned as a super‑app for business chats, file sharing and official notices, but the move has also prompted scrutiny about transparency and internet freedom - critics warn the switch could presage tighter controls if not paired with clear security audits and open oversight (TimesCA: rollout of Aitu messenger sparks internet freedom concerns in Kazakhstan; Dig.watch: Digital Headquarters aims to embed AI across Kazakhstan public services).

For governments rolling out AI‑powered citizen alerts, Aitu offers a centralized channel - but its promise hinges on demonstrable safeguards, auditability, and public trust.

“We all see how neural networks are used to create biometric copies of a person, imitate their voice, image, and even behavior. This can be used to gain access to personal data and citizens' bank accounts, as well as to produce fake videos aimed at manipulating public opinion.”

Ready to move from planning to pilot? Start small and legal: map each use case to Kazakhstan's emerging risk tiers and data‑protection limits (follow the draft law guidance in this overview on AI Regulation in Kazakhstan), choose sovereign hosting or Alem.cloud for sensitive data, bake in continuous auditing and drift detection from day one, limit biometric processing to explicit‑consent flows and strong eKYC controls, and pair each rollout with staff training so humans stay in the loop - practical options include the government's AI Qyzmet program and hands‑on courses like Register for Nucamp AI Essentials for Work bootcamp.

Keep pilots short, instrumented, and auditable so lessons scale without surprise costs or privacy breaches; with more than 40 major data incidents reported in 2025 and official plans for a standalone AI law, transparency, security and workforce readiness aren't optional - they are the quickest route to durable value.

For next steps, review the regulation primer, pick one low‑risk service to automate, secure compute choices, and sign up a cohort for prompt‑engineering and governance training to build internal muscle fast.

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AI Essentials for Work	15 weeks	$3,582	Register for AI Essentials for Work - Nucamp

“The bill reflects major global trends in AI regulation.”