Today’s trends are tomorrow’s tactics
From the early Eliza chatbot to modern generative AI solutions, what was once a technological curiosity is now a boardroom priority. At Intellias, we help our clients adopt and adapt generative AI (GenAI) capabilities to work smarter.
Our generative AI services turn vast data into focused intelligence, automate complex workflows, and build differentiated experiences for your employees and customers. We don’t just deploy AI — we place generative AI where it’s most effective, delivering productivity gains, ROI, and secure, scalable innovation.
We create a generative AI experience with our end-to-end services
AI strategy consulting
We help you analyze and evaluate your readiness to adopt generative AI technology and develop a clear roadmap for its implementation:
- Readiness assessment
- Gen AI services adoption roadmap
- Strategic planning workshops
Model development & refinement
We develop custom-trained large language models (LLMs) or domain-specific models designed to meet your unique needs:
- Custom LLM development
- Domain-specific model training
- Model fine-tuning and optimization
Generative AI integration for enterprise
We seamlessly connect generative AI solutions with your existing platforms, such as ERP, CRM, DMS, HRM, and other systems:
- System compatibility analysis
- API integrations
- Workflow automation
AI governance and responsible AI
We establish frameworks to ensure ethical, safe, and compliant use of AI technologies within your organization:
- Ethical AI guidelines
- Compliance audits
- Risk management strategies
Continuous AI operations
We provide ongoing support for machine learning operations (MLOps), monitoring, and post-deployment assistance:
- MLOps implementation
- Performance monitoring
- Technical support and maintenance
GUARDIAN: The responsible AI governance framework by Intellias
The GUARDIAN framework provides a structured approach for responsible integration of generative AI technologies, addressing the entire lifecycle from design to deployment and scaling. Our goal is to transform AI into a controlled, high-performance business asset while ensuring ethical standards and regulatory compliance.
Guidelines & principles
We establish clear rules that prioritize fairness, transparency, and human oversight in AI development, helping clients protect individual rights and ensure accountability.
Understanding the risks
We identify data privacy issues, compliance challenges, and operational risks, combining technical assessments with insights into human impact and alignment with organizational values.
Access control
We implement detailed permission control measures to protect sensitive information in generative AI applications, ensuring that only authorized personnel can access critical data.
Regular audits & monitoring
We practice continuous oversight and audits of AI systems to effectively identify and address emerging risks, supporting ethical management across the company.
Defined roles
We establish responsibility matrices across projects and evaluate AI systems for human impact, fairness, and safety to reduce risks and promote sustainable governance practices.
Insights for decision-making
We prioritize transparency in AI decision processes, clearly explaining how GenAI systems reach conclusions so that only reliable outputs are used to make business decisions.
AI upskilling
We offer training programs that help teams understand generative AI’s functionality and ethical implications, fostering realistic expectations for further responsible AI use.
Navigating compliance
We provide resources to help businesses conform to AI regulations, align operations with industry standards and confidently build on their AI strategies while avoiding costly missteps.
Looking to uplift customer interactions? Discover how Conversational AI can power smarter, more human-like engagements.
Why clients turn to Intellias for their AI needs
Vertical focus
Targeted AI solutions across key industries including healthcare, automotive, finance, and retail.
Global reach,
local precision
Custom solutions that comply with relevant regulations and meet international standards.
Full-spectrum technology expertise
End-to-end AI integration services from strategy, governance to execution across cloud, data, and automation.
Proprietary
AI solutions
Innovative solutions such as IntelliAssistant and Intellias Digital Twin maximizing productivity across all operations.
24 years
industry experience
17
global locations
3k+
experts
100+
proprietary assets
Our experts
Hana Rizvić
Head of AI
Hana is a data scientist with a decade of experience in the field and an AI/ML expert. At Intellias, she has developed the AI/ML practice into a separate, robust domain and a core offering. Her expertise lies in not only orchestrating and motivating teams but also in shaping forward-thinking growth strategies for businesses implementing AI/ML worldwide. Under Hana’s leadership, the AI/ML practice at Intellias continues to grow, now including GenAI offerings and a responsible AI practice which she recently launched.
With a solid mathematical background, Hana has spent her career focusing on predictive analytics and machine learning, helping clients in healthcare, energy and insurance. She holds a Master’s in Applied Mathematics from the University of Rijeka in Croatia.
Atina Koljevina
AI/ML Practice Engagement Manager
А research engineer with almost a decade of experience, Atina specializes in deep learning and data science. At Intellias, she continually explores innovative ways to apply AI and machine learning solutions to business challenges, working on international and interdisciplinary projects.
Her expertise includes developing deep learning algorithms for face detection and recognition, as well as leading projects on lightweight neural networks, data annotation and proof-of-concept development. She holds a Master of Science in Computer Science and Mathematics from the University of Zagreb.
Our insights and perspectives
Blog post
Generative AI in Retail: Use Cases, Examples, and Implementation
Blog post
How Generative AI Can Be Used in iGaming
Blog post
Achieve New Levels of Performance with Generative AI In Agriculture
Blog post
AI-Assisted Telco CapEx: Using Generative AI to Augment Smart CapEx Functionality
FAQ
Intellias’ generative AI services help businesses transform vast data into actionable intelligence. Our engineers design generative AI solutions that, due to their precision, speed, and scalability, ensure measurable productivity gains and ROI. We help you automate complex workflows, creating unique customer and employee experiences. Whether you need AI-powered customer service automation or intelligent supply chain management, our generative AI technology services enable smarter operations with secure innovation.
We seamlessly connect generative AI with enterprise platforms like commerce, PIM, DAM, CMS, ERP, CRM, DMS, HRM, and other systems to ensure smooth adoption and maximum efficiency. Our integration process includes system compatibility analysis, API-based connectivity, and workflow automation to enhance operational performance without disrupting existing processes.
Intellias provides a structured generative AI implementation service that begins with a two-week readiness evaluation. This assessment determines your current AI maturity, identifies high-impact opportunities, and aligns AI initiatives with your strategic goals. Our team delivers a feasibility report, a prioritized roadmap for gen AI services adoption, and a cost-benefit analysis, ensuring your AI journey is well-planned and value-driven.
Security and compliance are at the core of our generative AI technology offerings. Through our GUARDIAN framework, we establish ethical AI guidelines, conduct compliance audits, and implement access controls to protect sensitive data. Our risk management strategies help businesses navigate data privacy laws and industry regulations, ensuring safe and responsible AI deployment.
Yes. Our generative AI services are built for scalability, ensuring that AI models grow alongside your business. We design AI models and architectures that adapt to growing data volumes, evolving business needs, and expanding operational demands. With ongoing MLOps support, continuous model optimization, and governance frameworks, we ensure AI solutions remain agile, resilient, and future-proof.
One of the industry narratives is “data readiness for AI”. However, this is often stated without explicitly saying what makes data “ready” or “not ready”. Provide some detail on what makes data “ready” and how Intellias can help if it is not yet ready.