AI takes over your routine tasks, completing them within a fraction of the time it would take you to do them manually. It turns data into insights, automates business processes, and makes room for innovation. Responsible AI does all this in a way that’s ethical and accountable.
Practicing responsible AI will clear your doubts and let you fully enjoy AI’s benefits for your business. Our responsible AI consultants are here to help you implement a governance framework that ensures your AI solutions respect data privacy and are secure and compliant.
Why you need responsible AI
By using a responsible AI (RAI) governance framework, you ensure that AI-driven decisions are fair and transparent — and promote inclusivity and accountability.
Responsible AI solutions enable transparency, explainability, and clarity in decision-making, helping to build trust with users and stakeholders.
RAI governance ensures that all of your artificial intelligence applications comply with data protection laws and industry regulations.
Reduce the risk of data misuse and its consequences, prioritize data privacy, and protect your business’s reputation.
How we deliver value: Our responsible AI approach
Assess digital maturity
We help you gain a 360-degree view of your digital assets to identify key components, strengths, and areas for potential improvement.
Understand requirements
We work with you to analyze all compliance requirements that apply to your business and design an actionable compliance roadmap.
Identify existing uses of AI
Our experts help you inventory all AI tools used in your business and assess their compliance requirements.
Categorize AI solutions
We categorize your AI systems by risk level to determine potential impact and understand compliance requirements.
Implement compliance
For AI solutions identified as high-risk, we pinpoint areas for improvement and prepare a comprehensive action plan to achieve full compliance.
Upskill to AI mastery
We offer customized AI governance training tailored to your business to help you stay competitive and ensure compliance.
Your responsible AI environment
We help you build a complete RAI ecosystem that is transparent, bias-free, and compliant.
We implement a comprehensive RAI governance framework that ensures ethical use of AI by addressing risk management, compliance, data governance, model oversight, bias mitigation, transparency, and accountability in your workflows.
Our AI ethics consultants guide you in adopting consistent practices to test AI solutions for fairness, security and trustworthiness.
Our responsible AI framework supports you in consistently monitoring all your AI tools. It gives you the information you need to stay compliant with evolving laws, regulations, and standards.
Clear outcomes: Our clients’ stories
Enterprise-scale expertise evaluation
Our engineers built an AI-powered platform for a global IT company that sought transparency in evaluating employees’ skills. Digital transformation of a professional development system included:
- Consolidated skills repository presents a 360-degree view of the expertise that employees contribute to the company’s pool
- Streamlined management of the competence database
- Accurate detection of employee skills gaps, creating a basis for professional development recommendations.
Brand performance evaluation
Leveraging the capabilities of AI and ML, Intellias designed a fair and transparent tool for analyzing data from external sources and building actionable improvement recommendations. The advantages of implementing AI strategies:
- Automatic identification of media resources that can yield data relevant for building successful promotion campaigns
- Significant reduction in data processing time as a result of media materials analysis by ChatGPT
- Reliable brand evaluation with natural language processing (NLP) technologies identifying brand mentions as negative, positive, or neutral
SaaS lending
Intellias developed an AI-based lending solution based on the principles of transparency and a non-biased approach to borrowers during credit score evaluation. Our client’s SaaS solution for lending provides the following benefits to business owners:
- Loan qualification for amounts up to $100,000 with an easy application process without any paperwork
- Loan decisions within three business days and higher approval rates compared to classic banks
- A transparent decision-making process.
Why choose Intellias as your
responsible AI partner?
Expertise in global AI compliance
Our methodologies are aligned with the EU AI Act and other legal and regulatory frameworks.
Data governance excellence
We use our deep data governance expertise to help you make sure that your data is secure, privacy-compliant, and high-quality.
Cloud-native AI expertise
Intellias is experienced in creating cloud platforms for future-proof, ethical AI systems that ensure scale, trust, and seamless integration.
Technology-agnostic innovation
Our broad expertise and strong partnerships with leading technology providers enable us to build diverse ecosystems.
Cybersecurity-driven AI
We build AI systems that are secure by design to prevent data leaks, unauthorized access, and bias.
Strategic product alignment
We fuse responsible AI with product strategy to help companies innovate and gain a competitive advantage.
Our AI experts
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.
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.
Director of Technology Practices
Director of Technology Practices at Intellias with 13+ years of experience in software engineering, management, and consulting. The area of Yevhen’s responsibility is the company’s technology offering in the fields of Data & AI, Cybersecurity, IoT, Cloud & DevOps, Support, Intelligent Automation, Business Applications.
Driven by passion for learning and making a difference, Yevhen is also a firm believer in flexibility and providing a unique solution to each problem rather than following 300+ page frameworks. He often speaks publicly and is interested in the topic of using Generative AI to solve real-world business problems as well as the art and science of governing AI.