According to McKinsey, up to 60–70% of typical office tasks can be partially or fully automated using existing technologies. Companies that systematically implement automation reduce operational costs by 20–30% within 1–2 years. For Kazakhstani businesses, 2026 has become a moment when it becomes difficult to compete without automation even in the local market.

Business process automation is no longer the domain of corporations: companies with revenues from 200 million to 2–3 billion tenge, especially in trade, services, and logistics, are actively engaged in it. Rising salaries, labor shortages, and margin pressure are forcing business owners to rethink manual processes that have been 'held by people' for years. This material breaks down what to start with: what to automate first, what tools to use, and how to calculate the return on investment. Special attention is paid to examples of Kazakhstani companies and a step-by-step roadmap that can be implemented by either internal teams or integrators like Alashed IT (it.alashed.kz).

What to Automate in Business Processes in 2026 First

Experience from projects in Kazakhstan shows that the fastest and most noticeable results come from four blocks: invoicing and payments, HR processes, CRM and sales, and regular reporting. These are processes with a high degree of routine, repeatability, and understandable rules, so automation here saves time by 2–4 times in the first few months.

Invoicing and payment processing usually consume up to 20–30% of the time of accountants and account managers. In a typical B2B service business with 100–150 active clients per month, 150–250 invoices and acts are generated. Automatic document generation based on CRM data, integration with banking systems (e.g., ForteBank Business, Halyk Business), and customer notifications via email/WhatsApp reduce the time per invoice from 10–15 minutes to 1–2 minutes. For a company where 2 accountants spend about 40 hours a month on this, the savings amount to at least 20 working hours per month.

HR processes in small and medium businesses are often chaotic: candidate applications in Excel, vacation approvals in messengers, onboarding through verbal agreements. Automation of hiring (forms and candidate funnels), onboarding (checklists for newcomers), leave and business trips (electronic requests with approval routes) in companies with 50–200 employees reduces the administrative burden on HR by 30–40%. For example, with 50 vacation requests and 15–20 new employees per year, an HR specialist's time savings can reach 30–40 hours per month.

CRM and sales are the third priority, especially in B2B and e-commerce. Automatic task assignment to managers, call reminders, sending commercial offers from templates, discount recalculation, and integration with IP telephony increase the conversion from lead to deal by 10–20% due to discipline and transparency. In a Kazakhstani company selling services worth 1 billion tenge per year, a 10% increase in conversion can generate an additional 100 million tenge in revenue without increasing the marketing budget.

Finally, reporting: financial reports, sales reports, marketing analytics, inventory reports. In most SME companies, managers still receive reports in the form of Excel files once a week or month. Automation of data extraction and dashboard building in Power BI, Google Looker Studio, or Metabase reduces the time to prepare reports from 10–15 hours to 1–2 hours per week and allows decisions to be made on the fly, not 2–3 weeks later.

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

By 2026, a stable stack of tools for business process automation has formed without a complete rewrite of the entire IT system. In practice, companies combine no-code/low-code tools (Zapier, Make, n8n) with CRM/ERP customization and point-to-point custom development. The choice depends on the volume of operations, data security requirements, and budget.

Zapier remains one of the most popular services for connecting cloud applications: Gmail, Google Sheets, Slack, HubSpot, Salesforce, and hundreds of others. Its advantage for Kazakhstani companies is that it allows simple scenarios to be set up within one day: for example, when a new lead is created in amoCRM, a deal, task for a manager, and an entry in Google Sheets are automatically created. At a rate of $49–69 per month, Zapier is convenient for small businesses with 5–15 office employees and up to 10–20 thousand operations per month.

Make (formerly Integromat) is more suitable for complex scenarios with branching, arrays of data, and integrations with HTTP APIs. This is relevant for companies that use several cloud services plus a custom system (e.g., warehouse accounting or internal portal). The cost of Make for scenarios with 40–60 thousand operations per month is usually 30–60 euros. n8n is interesting because it can be deployed on-premises on the company's server or in a private cloud, which is important for organizations where client data storage or compliance with internal information security policies is sensitive. The cost of implementing n8n is usually expressed not in licenses but in integrator hours: companies like Alashed IT charge for project work, and the platform itself remains free in the open-source version.

However, as the company grows, no-code tools often stop covering all needs: there is a need for deep integration with 1C accounting systems, industry platforms (e.g., medical or logistics solutions), as well as high performance and fault tolerance. Then it makes sense to move to custom development of microservices and integration gateways. A typical project for developing and implementing an integration bus for a company with 200–300 employees can cost 8–20 million tenge and pay off within 12–18 months by reducing manual data entry costs and errors.

A practical approach in 2026 looks like this: using Zapier/Make for typical cloud services at the pilot and quick wins level, launching n8n or custom integrations for critical processes and data with partners like Alashed IT. It is important to immediately think through the architecture: which processes can live in no-code, and which will be rewritten in code over time to avoid a 'zoo' of dozens of scenarios without centralized monitoring.

AI Automation of Business Processes: From Chat Agents to Intelligent Workflows

Artificial intelligence in 2026 has ceased to be a marketing buzzword and has become a real tool for automation. According to Accenture, companies that combine classic automation with AI achieve up to 5–7% additional labor productivity compared to those that only automate routine processes. In Kazakhstan, AI automation is gaining momentum in customer support, document processing, and analytics.

The first direction is AI agents in support and sales. Based on models like GPT-4, Claude, or other large language models, chatbots can be created that understand natural language, access internal knowledge bases and CRM, and return a personalized response to the customer. For a Kazakhstani online store with 500–700 inquiries per day, implementing such a bot can reduce the load on call center operators by 30–50%. A realistic scenario: the bot independently closes 60–70% of typical questions (order status, delivery conditions, returns), leaving 30–40% of complex cases to operators.

The second direction is intelligent document processing. AI models allow automatic recognition and structuring of data from invoices, acts, contracts, employee applications. If classical OCR engines and regular expressions were used for this before, in 2026, solutions where AI itself 'understands' the document structure are popular. For a trading company processing 1,000–1,500 waybills per month, automation of recognition and reconciliation can reduce manual data entry by 70–80% and decrease errors in the accounting system by 50–60%.

The third direction is AI for process analysis and decision-making. Based on data from CRM, ERP, warehouse, and financial systems, models can be built that predict customer churn, optimal inventory levels, and the likelihood of payment defaults. Example: a service company in Almaty with annual revenue of 500 million tenge uses an AI model for customer segmentation and forecasting repeat purchases. As a result, personalized mailings and calls to the 'hot' segment increased customer LTV by 15%, and the number of inactive customers decreased by 20% over the year.

It is important to understand that AI automation requires not only technology but also data discipline. Companies like Alashed IT, in their projects, first conduct an audit: where and how data is stored, how complete and clean it is, and whether there are unified directories. Only after this does it make sense to connect AI agents via API to CRM, Helpdesk, and knowledge base. Otherwise, the model will give beautiful but inaccurate answers, which will ultimately undermine user trust in automation.

How to Calculate ROI from Business Process Automation: Practical Examples

One of the main reasons for skepticism among business owners is the lack of clear figures on ROI. However, ROI from business process automation is quite simple to calculate if you break down the project into three components: employee time savings, reduction in errors and losses, and revenue growth due to improved service quality. Let's consider several typical calculations for Kazakhstani SMEs.

Example 1: Automating invoicing and acts in a service company in Nur-Sultan with annual revenue of 400 million tenge. Currently, two accountants spend 40 hours per month preparing and sending about 200 invoices. The average full cost of an employee hour with taxes and office is 3,500 tenge. Implementing a CRM + automatic document generation + bank integration costs 4 million tenge upfront and 150,000 tenge per month for support and services. Time savings: 80 hours per month, i.e., 280,000 tenge. Additionally, the company reduces payment defaults by 10%, which accelerates turnover by 3–5 days and saves about 200,000–300,000 tenge per year on cash flow gaps. The project pays off in 14–18 months.

Example 2: AI chatbot in an online store in Almaty with 600 inquiries per day. The staff includes 6 operators with a salary of 180,000 tenge plus bonuses, totaling about 1.5 million tenge per month. After implementing the bot, which closes 60% of typical requests, the company reduces the need for 4 operators, maintaining service quality. Labor cost savings are around 500,000 tenge per month. The project cost is 6 million tenge upfront plus 300,000–400,000 tenge per month for infrastructure and support. The net cash effect is about 100,000–150,000 tenge per month at current parameters, and the return on capital investment is 10–12 months.

Example 3: Automating HR processes and onboarding in an IT outsourcing company with 80 employees. Before the project, the HR department of two people spent 60% of their time on routine tasks: collecting applications, approving vacations, arranging business trips, and monitoring probation. Implementing an HRM system, integrations with email and messengers, and automatic onboarding notifications costs 5 million tenge. As a result, the routine share drops to 30%, freeing up 2–3 workdays per week for each HR. At an average HR hourly rate of 4,000 tenge, the savings amount to about 400,000–450,000 tenge per month, and the project pays off in 12–14 months.

Such calculations should be done before starting the project with integrators. Companies like Alashed IT usually prepare a business case: projected labor costs before and after, load growth scenarios, sensitivity to currency exchange rate and cloud service costs. This helps the business owner see not only expenses but also the expected economic effect over a 12–24 month horizon.

Step-by-Step Roadmap for Automation for Kazakhstan Companies

Most failed automation projects in Kazakhstan occur not because of technology but due to the lack of a clear roadmap. Successful companies use a structured approach that can be described in five steps: process audit, prioritization, pilot, scaling, and continuous improvement.

Step 1. Process Audit. At this stage, the completeness of the picture is important, not the depth. A list of processes is compiled by blocks: sales, marketing, operations, finance, HR, service. For each process, the volume (how many times per month it is performed), average time, number of employees involved, and key problems (delays, errors, dependency on specific people) are recorded. In practice, for a company with 50–100 employees, the audit takes 2–3 weeks and is conducted jointly by the internal team and external experts, such as Alashed IT.

Step 2. Prioritization. From the entire list, 5–10 processes are selected that provide the greatest effect based on three criteria: time savings, risk reduction, and revenue impact. Processes with quick payback are usually in the accounting, sales, and customer support areas. Here, a decision is made on which tasks can be solved with no-code tools (Zapier, Make, n8n) and where custom development is immediately needed. It is important to limit the pilot list, otherwise the project will drag on for years.

Step 3. Pilot and Quick Wins. Pilot projects are launched for 2–3 processes with a duration of 6–12 weeks. At this stage, it is important to record metrics before and after: average operation time, number of errors, SLA for customer response. For example, a pilot for invoice automation in a medium-sized business can be launched in 4–6 weeks and immediately measure a reduction in time from 15 to 3 minutes per operation. Quick wins build team trust and provide arguments for further investment.

Step 4. Scaling. After a successful pilot, a unified automation architecture is created: a base stack (CRM, ERP, iPaaS, AI agents) is selected, integration standards, logging, and monitoring are configured. At this stage, it makes sense to define process owners and appoint an internal product owner for automation. For companies with 100 employees, it is often justified to create a small permanent team of 2–4 people responsible for automation and working with external partners.

Step 5. Continuous Improvement. Automation does not end with 'implementation'. It is worth reviewing processes, adding new scenarios, and optimizing previously configured ones every quarter. New APIs from banks, cloud service updates, and company structure changes appear. Companies that regularly invest 2–4% of revenue in digitization and automation show an average productivity growth of 15–20% over 3–4 years. In the conditions of rising salaries and competition in Kazakhstan, this becomes not a competitive advantage but a necessary condition for survival.

Что это значит для Казахстана

Kazakhstani businesses face a unique combination of factors: rising salaries (according to the Bureau of National Statistics, the average nominal salary in 2024 exceeded 340,000 tenge), a shortage of qualified specialists, and increased competition from foreign online players. This makes business process automation one of the key levers for increasing efficiency without a proportional increase in staff. A particularly strong effect is observed in the trade, logistics, fintech, and professional services sectors.

The practice of local projects shows that companies with revenues of 300 million to 3 billion tenge are already ready to invest 5–20 million tenge per year in automation if they see a transparent ROI calculation. For example, in Almaty and Astana, there is a growing demand for projects integrating CRM with accounting systems, implementing AI chatbots in support services, and automating document circulation with counterparties through electronic signatures. For regions such as Karaganda, Shymkent, Aktobe, solutions for warehouse automation, delivery, and retail point accounting are relevant.

An important trend of 2026 is the transition from fragmented implementations to comprehensive automation programs. Instead of 'putting a bot' or 'configuring CRM', business owners are increasingly considering the entire customer or employee journey: from the first contact to repeat sales and retention. Companies like Alashed IT (it.alashed.kz) act not only as integrators but also as consultants, helping to choose priorities, tools, and form a roadmap for 12–24 months. This is especially important in conditions where there are many local and international solutions on the market, and a mistake in choosing a stack can cost lost years and millions of tenge.

Companies that systematically implement business process automation reduce operational costs by an average of 20–30% within 1–2 years.

Business process automation for Kazakhstan companies in 2026 has ceased to be an option, giving way to the status of a mandatory strategic direction. The greatest effect is achieved in processes with a lot of routine and clear rules: invoicing, HR, CRM, and reporting, and additional leverage is provided by AI solutions for support and analytics. With the correct ROI calculation and a phased roadmap, investments of 5–20 million tenge pay off within a 12–24 month horizon. Companies that are already building a systematic approach to automation with the help of internal teams and partners like Alashed IT gain a noticeable advantage in business productivity and sustainability.

Часто задаваемые вопросы

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

For a small business with a team of up to 20 people, basic automation of invoicing, CRM, and simple integrations through Zapier or Make usually costs 1.5–4 million tenge upfront plus 50–150 thousand tenge per month for services. For medium-sized companies (50–200 employees), a comprehensive project with CRM, reporting, and an AI bot can cost 8–20 million tenge with an implementation horizon of 3–9 months. In large SME companies with annual revenue of 1–3 billion tenge, the annual budget for automation is often 2–4% of revenue, i.e., 20–60 million tenge. ROI, according to practical cases from integrators like Alashed IT, varies from 12 to 24 months depending on the selected processes.

What to automate in business first to see quick results?

The fastest results come from four areas: invoicing and acts, basic HR processes (vacations, onboarding), CRM and sales funnel, and regular management reporting. In a typical Kazakhstani SME, these processes take up to 40–60% of office employees' time, and they are easy to formalize. Practice shows that automating invoicing and CRM alone reduces manual labor by 20–30%, and adding reporting provides an additional 10–15% effect. Such projects can usually be implemented in 2–3 months with a one-time budget of 2–6 million tenge.

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

Key risks include dependency on specific cloud services, errors in integration architecture, employee resistance, and incorrect total cost of ownership estimation. To minimize them, it is important to conduct a process audit at the start, choose tools with open APIs and migration capabilities, and allocate a budget for support of 10–20% of the project cost per year. The practice of companies like Alashed IT shows that a pilot phase of 6–12 weeks and phased scaling reduce the risk of project failure by more than 50%. Training employees and a test period of parallel operation with manual processes are also critically important.

How long does it take to implement business process automation?

The timeframe depends on the scale and complexity. Pilot projects for automating one or two processes (e.g., invoicing and simple CRM integration with mail) take 4–8 weeks, including testing and training. More complex implementations covering CRM, HR processes, reporting, and an AI bot for a company with 50–200 employees usually take 3–9 months. With a phased approach, the first measurable results (reduction in operation time by 30–50%) usually appear within 1–2 months after the pilot launch. With the involvement of experienced integrators like Alashed IT, it is possible to keep the project within agreed deadlines in 80–90% of cases.

How to save on business process automation without losing quality?

Three approaches help reduce the budget without sacrificing quality: process prioritization, use of no-code/low-code solutions, and phased implementation. At the start, it makes sense to select 3–5 processes with the maximum return and implement them through tools like Zapier, Make, or n8n, which allows reducing the share of custom development by 30–50%. Additionally, savings are achieved by choosing cloud services with monthly payments and avoiding redundant functions. The experience of Alashed IT shows that competent architecture design at the start helps reduce the total cost of ownership of automation over a 3-year horizon by 20–30% compared to chaotic one-time implementations.

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