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Analyze requestsWe measure request volume, frequent questions, the cost of manual handling and the success criteria.


Business automation → AI website bots
AI website bot: answers from your knowledge base in Russian and Kazakh, qualifies leads and hands them to a manager. Replies in 30 seconds instead of 3 hours, 24/7. Integrates with CRM, WhatsApp and Kaspi in Kazakhstan.
Discuss your projectOverview
Gotomarket implements AI bots for websites in Kazakhstan. The bot answers visitors' questions from your knowledge base, clarifies their needs, logs the lead in your CRM and hands complex cases to a person. The result: a fast first response, fewer lost leads and less workload for managers.
In the current scenario, first-line support replies in 30 seconds instead of 3 hours. The actual effect depends on request volume, the quality of the knowledge base and the sales process.
Solution architecture
We don't launch a bot that does "everything at once." We start with a measurable scenario and expand automation after verifying quality and economics.
We measure request volume, frequent questions, the cost of manual handling and the success criteria.
We build the knowledge base and the rules for answers, qualification and handoff to a manager.
We build the bot and connect the CRM, website and required channels in a secure test environment.
We launch on a share of requests and measure answer quality, conversion and the share of handoffs to a person.
We add questions, channels and integrations only after the results are confirmed.
Unit economics and ROI
An AI bot affects two metrics: first-line hours and the share of qualified requests. In a hypothetical example with 600 requests a month, managers spend about 40 hours a month on initial handling.
If the bot resolves 60–70% of routine questions, it frees up about 26 hours a month. Fast replies and 24/7 availability also mean fewer lost evening and weekend leads. The break-even point depends on the hourly cost, conversion and request volume.
Result
The pilot includes a working scenario, integrations and control rules, without trying to automate the whole process in one go.
Comparison of approaches
The right format depends on how complex the questions are and whether answers need to be based on meaning.
| Approach | What it does | Limitation | When it fits |
|---|---|---|---|
| Lead form | Collects contacts | Doesn't answer or clarify the request | Low volume of simple requests |
| Button-based bot | Follows predefined branches | Gets lost on unexpected questions | Short, stable scenarios |
| Knowledge-based AI bot | Understands the question and keeps context | Requires high-quality sources | Lots of repetitive questions |
Limitations and risks
An AI bot isn't a universal solution. Before starting, we check whether there is enough request volume and data to answer from.
If information is scattered and out of date, you first need to collect and organize the sources.
With fewer than 50 requests a month, manual handling can be cheaper and more flexible.
In a long sales cycle, the bot helps qualify the contact but doesn't replace negotiations with a manager.
A good fit
Not a fit
Frequently asked questions
Yes. We check the quality of the Kazakh version with native speakers, not just with machine translation.
We restrict answers to the knowledge base, add links to sources and hand complex or sensitive questions to a manager.
A pilot for one scenario usually takes 2–4 weeks: knowledge base, conversation flows, integrations and testing.
Yes, if the selected services and their access rules allow the required integration scenario. We define the exact setup before the start.
The cost depends on the number of scenarios, the size and state of the knowledge base, the number of channels and the integrations, above all with the CRM. We give an exact estimate after analyzing your inbound requests. We usually start with a pilot for one scenario to test quality and economics before expanding.
The bot creates or updates the contact and deal in the CRM and records the qualification answers, the lead source and the conversation history. The manager receives a task and sees the context without asking the customer again. The field set, pipeline stages and duplicate rules are agreed at the design stage.
Yes, if visitors often ask about pricing plans, features, integrations and onboarding. The bot answers from the product documentation and materials and routes demo or trial requests to sales through the CRM. Questions about a specific user account require a separate integration with product data and access checks.
A do-it-yourself build is fine for an experiment, but a production bot needs a verified knowledge base, qualification rules, handover to a manager, a conversation log and a set of test questions. We set up these controls and the CRM connection so answer quality can be monitored after launch. The underlying model can be chosen and replaced to fit the task.
Materials about the product, terms and pricing, answers to frequent questions, lead qualification rules and CRM access. On your side, you need an owner who approves answers and keeps the knowledge base up to date. If the materials are scattered, our first step is to help collect and organize them.
