⭐ What Value Does AI Bring to Customers? – An In-Depth Perspective from an IT Company

During the period from 2024 to 2026, AI—especially Generative AI—is shifting from a “technology for experimentation” to a core competitive advantage for enterprises. As an IT company, we are not only responsible for building software solutions but also for providing strategic consulting to help businesses adopt AI effectively and create measurable value.

1. AI Helps Customers Increase Efficiency & Optimize Operational Costs

Modern businesses face significant pressure related to labor costs, processing speed, and market competition. AI emerges as a powerful “virtual assistant” capable of automating many tasks previously done manually.

✔ 1.1. Process Automation

AI can:

  • Automatically process emails, reports, and internal support requests
  • Extract and input data from PDFs and Excel files
  • Create smart approval workflows

→ Reduces operational time by 20–50%.

✔ 1.2. AI Copilot for Office Employees

AI assists staff with drafting documents, analyzing data, summarizing materials, and generating contextual recommendations.

→ Employees become 2–3× more productive.

✔ 1.3. Optimizing Personnel Costs

Instead of expanding teams, enterprises can enhance productivity with AI without increasing headcount—an essential advantage during economic downturns.

2. AI Helps Customers Increase Revenue Through Personalization & Behavior Analytics

Understanding customers deeply is the most powerful competitive edge. AI enables large-scale behavioral analysis that traditional analytics systems cannot match.

✔ 2.1. Personalized Experiences

AI can:

  • Recommend products based on individual behavior
  • Personalize emails, SMS, and marketing messages
  • Build dynamic customer journeys

→ Improves conversion rates.

✔ 2.2. Real-Time Behavior Analysis

AI reads data from:

  • Websites and mobile apps
  • Transactions
  • Customer service interactions
  • Social media

→ Predicts needs and detects churn signals.

✔ 2.3. Intelligent Product/Service Recommendations

Examples:

  • Loan recommendations in fintech
  • Similar product suggestions in e-commerce
  • Course recommendations in EdTech

→ Boosts upsell/cross-sell revenue by 20–100%.

3. AI Helps Improve Service Quality & Reduce Customer Support Workload

✔ 3.1. 24/7 AI Chatbots

AI chatbots can:

  • Respond naturally in context
  • Support multiple languages
  • Handle 60–80% of common inquiries
  • Connect with ticketing, CRM, and ERP systems

→ Reduces call-center workload and increases customer satisfaction.

✔ 3.2. Intelligent Voicebots

Supports call-center operations with:

  • Automatic speech recognition
  • Call classification
  • Instant handling of urgent requests (card blocking, order tracking…)

→ Reduces handling time by 40–60%.

✔ 3.3. AI for Ticket Classification

AI reads tickets, classifies priority levels, and suggests solutions.

4. AI Enhances Security & Reduces Risks

Cybersecurity is a major challenge for every enterprise. AI enables proactive rather than reactive defense.

✔ 4.1. Anomaly Detection

AI monitors:

  • Network traffic
  • System logs
  • User behavior

→ Detects abnormal patterns before they become incidents.

✔ 4.2. Ransomware Prevention

AI analyzes malware behavior in real time to:

  • Contain
  • Isolate
  • Block suspicious access

✔ 4.3. AI in DevSecOps

Integrates security into CI/CD pipelines:

  • Malware scanning
  • Vulnerability scanning
  • Secret/token detection
  • Suggested fixes for vulnerabilities

5. AI Helps Customers Make More Accurate Decisions

✔ 5.1. AI for Executives

AI summarizes:

  • Business metrics
  • KPIs
  • Financial reports
  • Risks

And provides forecasts based on historical data.

✔ 5.2. AI for CFOs – Optimizing Budgets

AI analyzes cash flow, predicts expenses, and recommends optimization strategies.

✔ 5.3. AI for HR

AI supports:

  • Automated CV screening
  • Competency assessment
  • Training path recommendations
  • Predicting employee turnover

6. AI Accelerates Digital Transformation with Lower Risk

✔ 6.1. Automated System Integration

AI understands data structures and helps connect old and new systems without writing extensive manual rules.

✔ 6.2. Legacy System Modernization

AI assists with:

  • Reading and understanding legacy code
  • Rewriting modules
  • Generating system architecture documentation
  • Simulating system behavior

✔ 6.3. Enabling AI-First Enterprises

Transforming culture → workflows → products → strategies.

7. AI Helps Customers Create New Products & Business Models

AI unlocks new opportunities:

  • Automated SaaS products
  • AI-powered features for existing systems
  • Computer Vision applications
  • Industry-specific AI Chatbots/Voicebots
  • New services built on enterprise data

→ Helps enterprises increase revenue and build competitive advantages.

🔚 Conclusion

AI does more than help businesses “work faster”—it unlocks entirely new ways of operating:

  • Smarter workflows
  • Personalized services
  • Data-driven decision-making
  • Proactive security
  • New business models