// Services

Artificial Intelligence

Our team of experienced professionals for artificial intelligence focuses on solving problems, where we focus on developing complete AI solutions – from basic to final production. Throughout the entire process, we place great emphasis on ensuring business values and security as well as storage.

// SOLUTIONS

Complete solutions, tailored specifically for you

At CREAPLUS we have expert knowledge in a wide spectrum of technologies and solutions. Together we will choose the right technology and solution for your business.

 

01

We build the data foundation of your company. Data lake in the cloud, BI dashboards and visualizations that enable quick decisions based on real data.

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01

Analytics, Data Science, BI

Analytics, Data Science, BI
02

Traditional AI for concrete results. We predict churn, optimize next-best-offer campaigns and segment customers for maximum conversion.

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02

Machine Learning

Machine Learning
03

AI built directly into your systems. Smart agents with security restrictions, audit trails and complete access control.

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03

Generative AI

Generative AI
04

Enterprise AI that integrates seamlessly into your infrastructure. Agents with robust security controls, comprehensive audit logging, and granular access management.

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04

Automation and AI Agents

Automation and AI Agents







Featured Use Cases

// Use Case

Machine Learning for Data-Driven and Compliant Marketing in Banking

AI can predict the probability of purchasing specific products for each individual customer based on historical data and behavioral patterns.
By targeting calls only to customers with high purchase propensity, we achieve 5 times fewer calls with the same or even greater conversion volume.


The result is lower call center costs and optimization of the entire sales strategy.

Transparent models enable understanding and adjustment of predictions for maximum effectiveness.

// Use Case

Generative AI for Email Classification and Response Preparation in the Oil and Gas Industry

Our generative artificial intelligence solution automatically classifies incoming emails by purpose and product type and routes them to the right agent using large language models.


AI extracts structured and unstructured data from attachments and supports analysis of common formats to obtain key information such as metering point ID and customer address.


The system generates responses based on product specifications and internal knowledge base, ensuring communication consistency. With this automation, we reduced manual email processing time by 60% and response preparation time by 40%. The result is faster response time, lower customer support costs, and improved service quality.

aila-banking
// Use Case

Internal Virtual AI Assistant for Banking

Our secure private GenAI assistant, trained on internal data and internal documents, enables employees to access information up to 10 times faster.
The system solves key challenges such as large amounts of internal documentation, lack of knowledge about document locations, high employee workload, and slow response times to inquiries.

Employees can independently query the database, reducing workload and increasing efficiency with 24/7 availability.

The AI assistant enables employees to focus on important projects instead of searching for information.

// Use Case

Generative AI Platform for Business Credit Approval in Banking

The generative AI platform acts as an intelligent assistant in the business credit approval process by automating data acquisition and compliance verification with policies.

The system automatically extracts relevant company data from internal systems, registries, and external databases and verifies compliance with anti-money laundering regulations and exposure to high-risk jurisdictions. AI analyzes the company’s financial trends over time and interprets key changes such as revenue increases or cash flow anomalies.

The platform flags large incoming or outgoing payments and identifies unusual patterns while providing contextually informed commentary to support credit specialists’ decision-making. The result is a faster and more reliable credit approval process with lower risk and better regulatory compliance.