Improving customer experience in data management with generative AI

Client NameAtaccama

Client CountryCzech Republic

  • Client typeEnterprise
  • IndustryInformation & Communication Technologies
  • Application areasCustomer Support & Experience, Data & Analytics / Business Intelligence, Operations & Process Automation
  • AI technologiesAI Agents & Task Orchestration, Generative AI, Large Language Models (LLMs)
  • Business impactsCustomer Experience & Market Growth, Customer Product & Service Innovation
  • Data typesImage Data, Textual Data
  • Delivery modelsCustom Development, Service / Subscription
  • DeploymentsCloud
  • Key capabilitiesConversational & Language Interaction, Decision Support & Augmented Analytics
  • Project stagesOngoing Optimization & Development
  • Solution formsAPI / Micro-service Interface, Conversational Interface, Web Portal / Dashboard

Solution Description

Problem description

The client faced the need to simplify data management while improving customer experience. The previous solution required technical expertise, leading to inefficiency and increased costs due to frequent manual interventions.

Solution

Our solution involved implementing large language models and generative AI into the Ataccama ONE platform, enabling intuitive data management even for non-technical users and automating data maintenance with the help of an AI co-pilot.

Main Users of the Solution

Data analysts, data administrators, customer service users.

Project timeframe (months)

9

Technologies used

Microsoft platform, Generative AI

Additional services

  • Change support and user training
  • Providing MLOps infrastructure

Implementation

Project Owner on the Client's Side

Head of IT / Data / Technology

Participation on the Client's Side

  • Business / Product Owner
  • Domain / process experts
  • End users

Form of Supplier Involvement

Joint implementation with the client

Operation and Maintenance

Operational Model

Joint management

Needed Competencies on the Client's Side

Data analysts, IT specialists.

Other Resources or Infrastructure

Cloud infrastructure, ongoing vendor support

Impact and Results

Qualitative Benefits

Simplified data management, increased process efficiency, enhanced customer experience.

Quantitative Results

Annual savings of CZK 2.5 million.

Client Feedback

“The solution has significantly improved our ability to manage data quality without extensive technical interventions.”

Lessons Learned and Recommendations

Key Success Factors

Team collaboration, flexible integration of new technologies.

Biggest Challenges

Integration of generative AI, overcoming technical limitations.

Recommendation for Others

Ensure the solution is intuitive for all users across the organization and be prepared for ongoing maintenance and optimization.

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