AI at Astana Motors: How the Business Is Evolving Toward Smart Processes

The Challenge for the Team

The goal was to design a universal and adaptive AI system – one that can be easily tailored to business specifics and scaled across any function, from sales to legal analysis. It wasn’t just about integrating AI –  it was about building a sustainable foundation for its continuous evolution and reuse across projects, teams, and departments.

Key requirements included:

• Implementation without vendor lock-in
• Flexible customization aligned with business logic
• Easy scalability and functional reusability
• Rapid configuration for new departments or projects
• Full transparency – from automation logic to triggers and filters

The Solution Developed by the Team

With Banza’s involvement, Astana Motors built an AI-powered system designed for:

• Transcribing calls (audio to text)
• Text processing
• Document recognition
• Web search

What Was Done

How It Works

The system doesn’t just read files – it interacts with their structure:

• Analyzes and compares document versions
• Checks compliance with templates and flags deviations
• Matches scanned originals with approved versions
• Automatically extracts data and fills CRM records

Previously, such tasks took hours. Now, it’s enough to upload a document – and within a minute, a lawyer receives a summary highlighting all key inconsistencies. AI also detects errors early – including mislabeling of product categories in procurement requests.
Example: an initiator submits a request labeled “metal structures,” but in fact it’s “office supplies.” The system cross-checks data, analyzes nomenclature, and flags the mismatch. This approach minimizes fraud risks and reduces the team’s workload.

Such cases perfectly illustrate the key difference between an off-the-shelf boxed solution and a custom-built, scalable platform that a company can evolve on its own.

For large businesses – especially in the automotive industry, where calls, service requests, and sales merge into a single funnel – strict dependence on a vendor’s limited functionality means losing competitive agility.

“For major market players, it’s always better to own a flexible, transparent solution – one where you can redesign analytics, add custom classification logic, and integrate it with other business systems. It’s not just call tracking – it’s part of an integrated sales and service ecosystem,” he concludes.

Products Used in the Solution

Together with Banza, Astana Motors implemented an AI-driven system for:

• Transcribing calls (MP3 to text)
• Sentiment and script analysis
• Smart email auto-responses
• Text and document processing
• Web search

Key Advantages

• Full control over prompt configuration
• Custom checklists, triggers, and filters
• 98% data processing accuracy

The MP3 transcription module allows Astana Motors to independently configure business events, transcription details, and analysis triggers.

700 sales managers use AI tools every day

Every AI action was designed and fine-tuned by their own team – proving that flexibility and adaptability drive performance.

Implementation Steps

1. Requirement gathering
2. Transcription module development
3. AI training and testing
4. Scaling across departments

No-code flexibility, fast integration, and easy scalability – that’s what makes this system future-proof.

Astana Motors isn’t just adopting AI – it’s setting digital maturity standards for the entire region. With custom AI workflows, machine learning, and automated document management, the company achieved measurable impact.

This case proves that local businesses can operate at a global level – just like Hyundai, BYD, or Toyota. The Astana Motors experience is more than an AI success story – it’s a roadmap for technological leadership in Kazakhstan’s automotive market.