According to the Ministry of Digital Development of Kazakhstan, the implementation of AI and automation is already increasing productivity in individual sectors by 10–25 percent. At the April government meeting, a portfolio of 45 AI projects was reported, of which 8 are already at the implementation stage. The same approaches are beginning to be applied by private companies in small and medium-sized businesses.

In 2026, business process automation has become a matter of survival, not just a trendy topic: salaries are rising, competition is intensifying, and customers expect speed in minutes, not days. Kazakhstan is actively implementing AI in energy, transport, and healthcare, and businesses have much to learn from them. Companies that have automated basic processes—billing, HR, CRM, and reporting—reduce operational costs by 15–30 percent within 6–12 months. This article will explore what to automate first, which tools to use, how to connect AI automation, and how to calculate real ROI with examples from Kazakhstani companies.

What to Automate First: Billing, HR, CRM, and Reporting

The first step in automation for most companies in Kazakhstan is not complex artificial intelligence, but routine operations that consume hours of employee time every day. According to consulting firms, in the SME segment (20–250 employees) in Kazakhstan, 40–60 percent of office workers' time is spent on manual data entry, re-entering information from emails into 1C or ERP, coordinating documents via messengers, and preparing standard reports. It makes sense to start with four blocks: invoicing and acts, HR processes, CRM and sales, and management reporting.

Billing and invoicing is the most common candidate for automation. For example, an Almaty-based B2B company for wholesale building materials with an annual turnover of about 1.2 billion tenge manually issued up to 400 invoices per month through accounting. After implementing automated invoice generation from CRM requests and integrating with a banking client, the time per invoice was reduced from 7–10 minutes to 1–2 minutes, and the number of errors in the details decreased from 3–4 cases per month to zero. As a result, the accountant freed up to 25 hours per month, which the company redirected to work with accounts receivable.

In the HR block, onboarding, leave and sick leave tracking, and KPI calculation are automated first. An average company in Astana with 80–100 employees spends up to 2–3 working days per month on HR specialist leave reconciliation and staff order formation. Using simple workflow systems integrated with corporate email and messenger (e.g., Microsoft 365, Google Workspace plus n8n or Make) can halve this volume. Companies like Alashed IT (it.alashed.kz) often start automation projects with HR processes because they affect all employees, and the effect of changes quickly becomes noticeable.

CRM and sales are the next mandatory block. Automation includes lead generation from website forms, automatic distribution of requests to managers, call-back reminders, deal status tracking, and automatic generation of commercial offers. For SME companies in Kazakhstan, conversion from lead to deal after implementing basic CRM automation, according to internal cases of integrators, increases by an average of 5–12 percent in the first 6 months. Finally, reporting: regular sales, margin, funnel, and accounts receivable reports are easily collected and sent automatically on a schedule. In one of the Alashed IT cases, weekly reports for 8 branches of a trading company began to be automatically generated and sent to managers in Telegram, which reduced about 10 hours of analyst work each week.

Automation Tools: Zapier, Make, n8n, and Custom Development

After determining priorities, the question of tools arises. In practice, in Kazakhstan in 2026, three main approaches are used: no-code/low-code integrators (Zapier, Make, n8n), built-in automation modules in used systems (Bitrix24, AmoCRM, Microsoft Power Automate, Google Apps Script), and custom development. The choice depends on the scale of the business, security requirements, and the need to refine the logic for yourself.

Zapier and Make are popular in international projects and among companies working with foreign services: HubSpot, Pipedrive, Slack, Stripe, Notion. For the Kazakhstani market, they have a plus: hundreds of ready-made connectors and scenarios. The downside is payment in foreign currency and limitations on local services. The Zapier tariff for small businesses usually starts at around $20–30 per month, Make from $10–20 per month depending on the number of operations. These solutions are well suited for quick prototyping of processes: connecting CRM to Google Sheets, sending notifications to Telegram, creating tasks in Asana or Jira for new deals.

n8n stands out by being deployable on-premises, on the company's own server, or in a private cloud. For businesses in Kazakhstan with high data storage requirements (financial organizations, large B2B), this is critical. The open-source model allows you to avoid paying for licenses, but requires a team or partner who knows how to set up the infrastructure. Companies like Alashed IT often offer a hybrid approach: critical scenarios are built on n8n on the client's server, and less sensitive integrations are launched through cloud services.

Custom development is justified when the company has unique processes or a large scale: from 200–300 users and above, or tens of thousands of operations per day. For example, a regional logistics network in Kazakhstan with 15 warehouses and more than 3,000 shipments per day invested about 45 million tenge in developing its own request orchestration system and integration with TMS and WMS. Downtime was reduced by 18 percent, and the number of manual request entries dropped almost to zero. It is important that even with custom development, it is beneficial to use ready-made blocks and connectors to avoid reinventing typical integrations with 1C, banks, SMS gateways, and messengers.

A realistic approach for SMEs in Kazakhstan is to start with no-code/low-code solutions (Make, n8n, Power Automate), gather 3–5 key scenarios, measure time savings, and only then move on to deeper customization. Alashed IT typically launches a pilot on ready-made tools for 4–6 weeks in typical projects, and then, based on the pilot results, forms a technical specification for refinement or development of a separate microservice.

AI Automation in 2026: From Chatbots to Intelligent Agents

AI automation has gone beyond 'smart chatbots.' In Kazakhstan in 2026, the government is demonstrating large-scale pilot projects: according to government discussions, a portfolio of 45 AI projects has been formed, of which 8 are already being implemented in healthcare, transport, and energy. For businesses, this is a signal that AI approaches have become mature and accessible not only to corporations but also to SMEs. This is not only about text generation but also about intelligent agents that can independently perform chains of actions in business processes.

AI agents in business automation solve three main tasks: interpretation of unstructured data, decision-making, and communication with users or systems. An example for a Kazakhstani SME: a service company in Shymkent implemented an AI agent that processes incoming customer email requests. The agent determines the type of request, extracts key parameters (city, deadlines, budget), creates a deal in CRM, suggests a template response to the manager, and launches the corresponding workflow in n8n. The time for initial message processing was reduced from 15 minutes to 2–3 minutes, and lost requests in the 'mailbox' practically disappeared.

The second common direction is AI in financial and management reporting. Using a combination of BI systems (Power BI, Metabase) and language models, companies can ask questions about data in natural language: 'show me customers with a margin of less than 10 percent at the end of the last quarter' or 'which managers most often violate SLAs on responses.' Such scenarios are already being tested by banks and telecom operators in Central Asia, and SMEs have access to a simplified version based on cloud solutions. Automation partners like Alashed IT often build an AI layer on top of existing reporting, which does not replace BI but makes it more convenient for managers.

The third direction is voice and text AI assistants for call centers and customer support. In the Kazakhstan market, there are already examples where AI bots handle up to 30–40 percent of typical requests: order status, invoice request, contact information change, answers to typical product questions. The key trend of 2026 is to connect such assistants not only with FAQs but also with real business processes through tools like Make or n8n. Then the bot can not only answer but also create a request, change the status in CRM, generate an invoice, and send it to the client. With proper setup, this reduces the load on live operators by 25–50 percent, and the payback of solutions is 6–12 months depending on the volume of inquiries.

How to Calculate ROI of Automation: Practical Examples and Formulas

Automation is often perceived as 'IT costs,' but it is critical for managers to see the payback in numbers. The basic formula is simple: ROI = (cost savings + additional profit − implementation costs) / implementation costs × 100 percent. The key is to correctly estimate time savings and reduce errors. For SMEs in Kazakhstan, a reasonable evaluation horizon is 6–18 months, beyond which external factors (exchange rate, market, staff) make calculations less accurate.

Consider a simplified example of a Kazakhstani company automating invoicing and acts. Suppose managers and accounting collectively spend 120 hours per month preparing documents. The average fully loaded employee rate (including taxes and overheads) is 3,500 tenge per hour. Cost per hour: 3,500 tenge. Total monthly costs for this operation: 120 × 3,500 = 420,000 tenge. After implementing automation, the time was reduced to 40 hours per month. Savings: 80 × 3,500 = 280,000 tenge per month or 3.36 million tenge per year. The implementation cost (licenses + integrator services, e.g., Alashed IT) was 2.2 million tenge. Then the annual ROI: (3.36 − 2.2) / 2.2 × 100 percent ≈ 52.7 percent in the first year.

For comprehensive automation (e.g., CRM, HR, and reporting simultaneously), it is important to consider the combined effect: increased conversion, reduced lead losses, and lower employee turnover due to more transparent processes. Example of a real case of an SME company from Almaty: turnover of 800 million tenge, sales department of 15 people. After implementing automatic lead distribution, reminders, and standards for processing requests, the conversion from lead to deal increased from 21 to 26 percent over 9 months. Additional income by margin amounted to about 48 million tenge per year at the average check. Project costs — 12 million tenge (CRM licenses, integration, training, support). ROI: (48 − 12) / 12 × 100 percent = 300 percent.

To make it easier for the manager to calculate, it makes sense to introduce a simple internal calculation regulation before starting the project:

  1. Fix the initial metrics: number of operations, time spent, current error rate, conversion, overdue accounts receivable.

  2. Determine the monetary equivalent: cost of employee hours, average customer check, average margin.

  3. Plan a review point at 3, 6, and 12 months.

An automation partner like Alashed IT usually helps to form a project financial model even before signing a contract. This allows not only to estimate ROI but also to prioritize processes: first, scenarios with an expected payback of more than 50–70 percent per year are implemented.

Step-by-Step Automation Roadmap for Kazakhstani Companies

To avoid drowning in endless pilots and buying dozens of unrelated services, businesses need a clear automation roadmap. The practice of projects in Kazakhstan shows that the optimal path for SMEs is divided into 6 steps. Such a structured approach is also used by integrators, including Alashed IT.

Step 1. Process Audit and System Inventory. Within 2–4 weeks, a working group describes key business processes: sales, finance, procurement, warehouse, HR, customer service. All systems are recorded: 1C or other accounting, CRM (if any), Excel reports, messengers, email. It is important to calculate the real workload: how many hours per month are spent on each type of operation. In companies with 50–150 employees, 5–10 processes are often identified that account for 70 percent of all routine tasks.

Step 2. Prioritization and Goal Setting. Here, 3–5 processes are identified for the first wave of automation. Criteria: potential savings (in tenge and hours), impact on the customer (response speed, service quality), and complexity of implementation. For example, invoicing and generating leads from website forms usually fall into the first wave, while complex logistics or dynamic pricing falls into the second. Specific KPIs are set for each initiative: reduce invoice processing time from 10 to 3 minutes, increase conversion by 5 percentage points, reduce monthly report preparation time from 3 days to 1 hour.

Step 3. Architecture and Tool Selection. At this stage, it is decided whether cloud tools (Zapier, Make) will be used, on-premises solutions (n8n, custom integration), or a combination approach. For companies working with government procurement or industry regulation, the issue of data localization is critical, and a combination is often chosen: local n8n + cloud AI service, which does not store sensitive data. Partners like Alashed IT help evaluate licenses, infrastructure requirements, and support costs for a 2–3 year horizon.

Step 4. Pilot Project and Quick Wins. Instead of automating everything at once, 1–2 pilot scenarios are launched for 6–8 weeks, with the participation of real users. The pilot's task is to show a measurable result: at least 20–30 percent time savings for the selected process. An important point is training and feedback: employees must understand how the new system works and have a channel for improvements.

Step 5. Scaling and AI Automation Integration. After a successful pilot, scenarios are scaled to other departments and branches, AI modules are added: intelligent request routing, automatic document classification, AI chatbots for customers and employees. By this time, an internal 'automation team' of 2–5 people has usually been formed, which, together with an external partner, leads the system's development.

Step 6. Continuous Improvement and KPI Monitoring. Automation is not a one-time project but a cycle. It is worth reviewing the set of scenarios, disabling ineffective ones, refining AI models, and expanding integrations at least once a quarter. The best Kazakhstani companies are already forming the role of automation owner or head of automation, responsible for the overall process architecture and interaction with IT contractors.

Что это значит для Казахстана

Kazakhstan is in a unique situation: on the one hand, there is a government demand for digitalization and AI implementation, on the other hand, a large part of the economy still operates on manual processes, Excel, and messengers. According to the Ministry of Digital Development, the country planned to increase the share of the digital economy to 5 percent of GDP by 2025, and the trend continues to strengthen in 2026. This is reflected in business: there is a growing demand for automation specialists, integrators, and AI solutions.

In the real sector of Kazakhstan, there are already indicative examples. A trading company from Almaty with 10 branches, having automated logistics requests, reduced transportation costs by 12 percent per year. A network of private clinics in Astana, after implementing electronic document circulation and an automated call center, reduced the average appointment time from 8–10 minutes to 2–3 minutes and was able to process up to 30 percent more requests without expanding the staff. Small IT and service companies in Shymkent and Karaganda are actively switching to CRM + n8n + AI chatbot combinations, which allows them to compete with large players due to better speed and service quality.

For Kazakhstani SMEs, there are also their own limitations: staff shortages, the difficulty of paying for foreign services, the need to consider local tax and accounting requirements. Therefore, local partners like Alashed IT (it.alashed.kz) play a special role, who understand the specifics of the 1C landscape, integrations with Kazakhstani banks, government procurement, and can combine international AI tools with local systems. It is this combination of global technologies and local experience that allows companies in Kazakhstan to achieve tangible economic benefits from automation in the first year.

Automating invoicing and acts in a Kazakhstani company can save up to 3.36 million tenge per year by reducing manual time from 120 to 40 hours per month.

Business process automation in Kazakhstan in 2026 has ceased to be an experiment and is gradually becoming a standard for competitive companies. Starting with basic things—billing, HR, CRM, and reporting—businesses can quickly achieve measurable results and free up employee resources. Further development is associated with the implementation of AI agents, intelligent analytics, and voice assistants, which further reduce operational costs. Companies that are already building a systematic automation roadmap with partners like Alashed IT gain a strategic advantage for the next 3–5 years.

Часто задаваемые вопросы

How much does business process automation cost for a company in Kazakhstan?

For a small business with 10–30 employees, pilot automation of 2–3 key processes using no-code tools usually costs 1.5–4 million tenge, including licenses and integrator services. For a medium-sized business with 50–200 employees, a comprehensive project (CRM, finance, basic AI chatbot) typically falls within a budget of 10–35 million tenge. Companies like Alashed IT usually offer a phased approach: first a pilot for 4–8 weeks, then scaling. With a competent choice of processes, investment payback is achieved within 6–18 months.

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What are the risks of business process automation and how to mitigate them?

The main risks are: dependency on the contractor, technical failures, employee resistance, and errors in process logic. To minimize them, it is necessary to maintain documentation of scenarios, use common tools (Make, n8n, Power Automate) rather than completely closed solutions, and train at least 1–2 internal employees to work with the system. Pilot projects should be built so that in case of a technical failure, it is possible to return to the manual process within 1 working day. Companies like Alashed IT usually include a training phase and incident response regulation in the project, which significantly reduces operational risks.

How long does it take to implement automation in a medium-sized business?

A pilot automation project for 1–2 processes in a company with 50–100 employees usually takes 4–8 weeks: 1–2 weeks for audit and design, 2–3 weeks for setup and integration, 1–3 weeks for testing and training. Comprehensive CRM automation, HR workflow, and reporting implementation typically requires 4–6 months of consecutive work. In cases of Kazakhstani companies working with integrators like Alashed IT, a stable effect is usually seen within 2–3 months after launching the first scenarios. Full stabilization and achieving planned ROI usually takes up to 12 months.

What automation tools are best for business in Kazakhstan?

CRM combinations (Bitrix24, AmoCRM, HubSpot) with no-code tools like Make or n8n for integration and automation are well suited for SME companies in Kazakhstan. n8n is convenient because it can be deployed on its own server, which is important for companies with high data security requirements. For offices working on Microsoft 365, it is logical to use Power Automate, and for Google Workspace users, Apps Script and Make. Automation partners like Alashed IT usually combine several tools to take into account local specifics (integrations with banks, 1C, government resources) while maintaining flexibility and reasonable cost.

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