Blog → Business automation and AI
Business Automation: Where to Start with CRM, Task Tracker, Integrations
In Kazakhstan, business automation starts with a process map, not a software purchase. Then come CRM, a task tracker, integrations, reporting and only then AI. Steps, a 90-day plan and common mistakes.
In short, in plain words
- Automation doesn't start with buying a system but with describing processes: how a request becomes a deal, a project and a payment, and where data is moved by hand.
- This piece is for founders and managers of IT companies and studios whose deals live in WhatsApp and whose tasks live in chats.
- The order of steps: process map, CRM (the customer and deal database), a task management system, a link between them, reports and only then AI. Each step relies on the data from the previous one.
- First step: two or three meetings with the employees who do the work by hand, and a one-page diagram with a list of bottlenecks.
New to the topic? Start with the basics: What Is an AI Agent and How It Differs from a Chatbot
Business automation should start not with buying a CRM or a task tracker but with a process map. First you describe how a request turns into a deal, a deal into a project and a project into a payment, and find the places where data gets lost or moved by hand. Then the order is: CRM, task tracker, integrations between them, reporting and only at the end AI assistants. Each next step relies on the data collected by the previous one.
This article is for founders and managers of IT companies, studios and service teams in Kazakhstan who are tired of deals in WhatsApp and tasks in chats. Below we go through each step, a “symptom → what to automate first” table, a 90-day plan and the mistakes that turn automation into a pile of paid subscriptions.
The order of steps and why
Automation solves one problem: it removes manual data transfer and makes work visible. That only works if each type of data has a single place where it lives.
- Process map. What happens, who is responsible, where the data lives.
- CRM. A single source of truth about customers, deals and agreements.
- Task tracker. A single source of truth about the work after the sale: projects, tasks, deadlines.
- Integrations. Data moves from the CRM to the tracker and back on its own.
- Reporting. Management sees the pipeline and team workload without collecting spreadsheets.
- AI. Assistants and agents work on top of clean data.
You can swap steps 2 and 3. You can’t skip step 1, and you can’t start with step 6. In our implementation experience, most failed automation projects started with choosing a tool rather than with the question of which process it should cover.
Step 1. Process map
A process map doesn’t require special software. A board or a spreadsheet and two or three meetings with the people who do the work by hand are enough.
What to capture:
- The flow of money. Where requests come from, who qualifies them, how the proposal is prepared, who signs the contract, when the invoice is issued.
- The flow of work. How a deal becomes a project, who assigns tasks, how the result is accepted, how closure is recorded.
- Transfer points. Every place where a person copies data from one place to another: from WhatsApp to a spreadsheet, from a spreadsheet to the tracker, from the tracker to an invoice.
- Owners. Each stage should have one responsible person, not “the sales department.”
The output of this step: a one-page diagram and a list of five to ten bottlenecks with an estimate of how much time and money they eat up. The estimate can be qualitative; what matters is that the team agrees on the priority.
The symptom tells you what to automate first
| Symptom | What to automate first | Tool |
|---|---|---|
| Requests get lost, managers reply late | Request intake and the sales pipeline | CRM |
| Nobody knows how many deals are in progress and for what amount | Deal stages and required fields | CRM |
| Projects miss deadlines, status is learned on calls | Tasks, statuses and owners | Task tracker |
| Tasks are assigned in chats and forgotten | A single entry point for tasks | Task tracker with request intake |
| After the sale, the team gathers requirements all over again | Handing the deal over to a project | CRM and tracker integration |
| Management waits weeks for a report | Collecting metrics from systems | Reporting on top of the CRM and tracker |
| Employees answer the same questions over and over | A knowledge base, then an AI assistant | Wiki, then AI |
Step 2. CRM: a single source of truth about customers and deals
A CRM exists so that a deal lives in one place. If a deal can be run in WhatsApp, a spreadsheet and the CRM at the same time, the CRM isn’t working. We covered a detailed step-by-step plan in our article on how to implement a CRM in an IT company in four weeks.
For IT companies in Kazakhstan, we most often consider two options.
amoCRM. A cloud CRM that is strong in sales through messengers: WhatsApp, Instagram, Telegram. It has telephony integrations and many Kazakhstan-based integrators. It fits if most of your leads come in through chats and response speed matters.
Twenty CRM. An open source CRM under the AGPL-3.0 license. It has custom objects and fields, workflows, an API and webhooks, CSV import, kanban and table views, and email and calendar integration with Google and Microsoft. There is no built-in telephony, SMS or email campaigns; these are connected through integrations. The self-hosted version is free, but you need an engineer who knows how to deploy it.
| Criterion | amoCRM | Twenty CRM |
|---|---|---|
| Model | Cloud | Cloud or self-hosted |
| Messengers | Built in | Via integrations |
| Data structure flexibility | Fields and pipelines | Custom objects and fields |
| API and webhooks | Yes | Yes |
| Where data is stored | amoCRM servers outside Kazakhstan | On your server when self-hosted |
| Cost | Plans via Kazakhstan partners, priced in tenge | Self-hosted is free, cloud per twenty.com pricing |
Kazakhstan context. A CRM almost always contains personal data: names, phone numbers, conversations. Some companies want to store these databases in Kazakhstan. With amoCRM, data is stored outside Kazakhstan; with self-hosted Twenty, it is stored wherever you put the server. If in-country storage matters, install the CRM on a server from a Kazakhstan hosting provider.
Step 3. Task tracker: the work after the sale
A task tracker covers the second half of the process: from the signed contract to the accepted result. One rule matters here: a task exists only in the tracker. If it was assigned verbally or in a chat, it doesn’t exist.
For IT teams, the main options in 2026 are:
- Plane. An open source tracker. The Community Edition under AGPL-3.0 is free with no user limit and installs via Docker. It includes projects, tasks, cycles, modules, Pages and Wiki for documentation, request intake via Intake, and time tracking. In the cloud, the Free plan covers up to 12 users, and Pro costs $6 per user per month billed annually (as of October 2026).
- Jira. The standard for large IT teams, with a mature ecosystem. In the cloud, Free covers up to 10 users, Standard is $7.91 and Premium $14.54 per user per month billed annually (as of October 2026). Documentation lives in a separate Confluence. Data Center is being discontinued: new licenses are no longer sold as of March 30, 2026, and support ends on March 28, 2029.
If you’re choosing between them, start with two questions: where the data should live and who will administer the system a year from now. And one more rule: a tracker is rolled out with one team, not with the whole company at once.
Steps 4 and 5. Integrations and reporting
When the CRM and tracker work separately, you have two systems and a manual bridge between them. An integration removes that bridge. A typical scenario: a deal in the CRM moves to the “Contract signed” stage, and the tracker automatically creates a project with tasks from a template, a link to the deal and the client contact. The project status and delivery date flow back into the CRM.
Technically this is done with an API and webhooks. Twenty, amoCRM, Plane and Jira all have them. We covered the event schema, fields and error handling in detail in our article on integrating a CRM and a task tracker.
What to consider before you start:
- Each integration should have an owner who learns about a failure before the users do.
- Sync the minimum number of fields. Every extra field adds conflicts.
- You need an error log and a clear retry scenario; otherwise some deals will quietly never reach the tracker.
Reporting is the last of the “classic” steps. As long as data is entered irregularly, any dashboard shows a false picture. Start with three to five metrics management already asks for every week: deals by stage, project deadlines, team workload. Add the rest on request.
Kazakhstan context. In Kazakhstan, a lot of sales and client work happens in WhatsApp. Banning the messenger is pointless. The goal of automation is to get conversations into the CRM and turn the agreements in them into tracker tasks. Another nuance: foreign SaaS is paid by card in dollars without closing documents that meet local standards, while self-hosted on a Kazakhstan hosting provider is paid in tenge under a contract. It’s worth discussing this with your accounting team before you choose.
Step 6. AI assistants and agents
AI is useful where there is structured data and repetitive actions: a deal summary before a call, a task draft from a client email, search across the knowledge base, initial sorting of incoming requests. All of this works only if the CRM, tracker and documentation are already maintained carefully.
Connecting AI as the first step means automating chaos. A bot that answers clients without knowing current prices and statuses creates more work than it removes. A separate question is agent permissions: which actions the AI can take on its own and which it can only suggest to a human. It should be settled before launch, not after the first incident.
A 90-day plan
| Period | What we do | Result |
|---|---|---|
| Weeks 1–2 | Interviews, process map, list of bottlenecks | An agreed diagram and priorities |
| Weeks 3–4 | Choose a CRM or tracker, pilot with one team | The system runs on real data |
| Weeks 5–6 | Required fields, rules, training for the pilot team | Deals or tasks live only in the system |
| Weeks 7–8 | Second system or extending the first one to other teams | Both halves of the process are in systems |
| Weeks 9–10 | CRM and tracker integration, error log | Deals are handed over to projects without manual transfer |
| Weeks 11–12 | Reporting, review of results, AI plan | A management dashboard and a list of AI scenarios |
The plan is a working one, not a mandatory one. If the pilot shows the chosen system doesn’t fit, it’s better to spend two weeks replacing it than a year on workarounds.
Mistakes that eat the budget
- Starting with a tool. You bought a CRM because “everyone has one,” but the sales process isn’t described. Six months later, half the deals are in the CRM.
- Rolling out everything at once. A CRM, a tracker, integrations and a bot at the same time overload the team, and none of the systems takes hold.
- Leaving a parallel channel. If tasks can be assigned both in a chat and in the tracker, they’ll be assigned in the chat.
- Customizing for everyone. Twenty statuses and forty fields make the system inconvenient. Start with the minimum.
- Not appointing an owner. Without an administrator, within six months the system gets overgrown with extra fields and broken automations.
- Ignoring data requirements. Moving a customer database from the cloud to a Kazakhstan server after launch costs more than making the right choice at the start.
- Waiting for an AI miracle. AI speeds up work with good data and is useless with bad data.
How we do it
We start with a diagnostic: we run interviews, draw a process map and, together with management, choose one bottleneck that delivers the biggest impact. Then we launch a pilot with one team on real deals or tasks and set up the CRM (Twenty or amoCRM) or the task tracker (Plane or Jira), integrations and reporting. We scale to other teams only after the pilot shows the system lives on without reminders.
If you’d like to go through this with us, see our page on business automation: CRM, task trackers, integrations and AI assistants. It describes the process, what the work includes and how the diagnostic starts.
Sources. Twenty CRM: twenty.com and GitHub repository. amoCRM: amocrm.ru. Plane pricing: plane.so/pricing. Jira pricing: Atlassian pricing. Data Center timeline: atlassian.com/enterprise/data-center. Prices are as of October 2026 and may change.
Terms in plain words
- CRM
- A system that stores customers, deals and agreements. It only works if a deal can't also be run in parallel in chats and spreadsheets.
- Task tracker
- A system for tracking tasks and projects: who does what, what status the work is in, when it's due. It covers the work after the sale, from the signed contract to the delivered result.
- Open source
- Software with publicly available source code that you can download, install yourself and modify. Twenty CRM and the free version of Plane are distributed this way.
- AGPL-3.0
- The open source license under which Twenty and the free version of Plane are released. You can use them and install them on your own server for free; modifications you make available over a network must be published.
- Self-hosted
- Installing a system on your own or a rented server instead of the vendor's cloud. It gives you control over where data is stored but requires an engineer for installation and maintenance.
- API
- A programming interface through which one system reads and changes another system's data without human involvement. The link between a CRM and a task tracker is built on it.
- Webhook
- An automatic notification one system sends to another when an event happens, for example when a deal moves to the 'Contract signed' stage. It triggers the creation of a project in the tracker.
FAQ
Quick answers
Where should business automation start?
With a process map. You need to describe how a request becomes a deal, a deal becomes a project and a project becomes money, and find the places where information gets lost or is moved by hand. The system is chosen after that, for a specific bottleneck.
What should come first: a CRM or a task tracker?
It depends on where the pain is worse. If requests get lost and nobody knows the status of deals, start with a CRM. If sales are under control but project deadlines slip, start with a task tracker. Rolling out both systems at once with a single team is usually a bad idea.
Which CRM should you choose for automation in Kazakhstan?
If most of your sales flow goes through WhatsApp and Instagram, amoCRM is stronger: it has built-in messengers. If you need a flexible data structure, an API and data stored on your own server, look at the open source Twenty CRM. It's best to confirm the choice with a pilot on real deals.
How long does business automation take?
A first tangible result is realistic within 90 days: a process map, a working CRM or tracker and one or two integrations. Full systematization of a company takes longer and depends on the number of teams and processes. What shortens the timeline is not the speed of configuration but the speed of decision-making inside the company.
Should you roll out AI bots and assistants right away?
No. AI works on data that already sits in systems in a structured form. If deals are run in WhatsApp and tasks in chats, the assistant has nothing to rely on. AI is worth connecting once the CRM, tracker and integrations are running reliably.
Can you automate a business without a developer?
Partly. The pipeline, statuses, rules and simple automations inside a CRM and tracker can be configured by an administrator without code. API and webhook integrations, as well as self-hosted installations, require an engineer or a contractor who will maintain them.
Where should customer and employee data be stored during automation?
A CRM almost always contains customers' personal data, and a tracker contains employee data. If it matters to the company to store them in Kazakhstan, choose a self-hosted system on a server from a Kazakhstan hosting provider. With cloud services like amoCRM, data is stored outside the country.
Related services
How Gotomarket helps with this
Business automation and AI in Kazakhstan
Business automation in Kazakhstan: Jira and Plane task trackers, CRM implementation, integrations, AI website bots, employee assistants, Chat with Data and support automation.
About the service 02AI assistant for employees in Kazakhstan
AI assistant for employees: search across policies and documents, drafts of emails and materials, role-based access. Implemented in Kazakhstan in Russian and Kazakh.
About the service 03AI support automation with SLA under control
AI support automation: request classification, conversation summaries, agent suggestions and SLA control. Rolled out in Kazakhstan in Russian and Kazakh.
About the service