Artificial intelligence is rapidly changing the rules of the game in business. Companies are rethinking processes, searching for ways to work faster and more efficiently. The dominant narrative in Western media revolves around AI-fueled growth and job displacement. Still, for many businesses, the real challenge remains unanswered: where to start, and how to avoid costly AI experiments that deliver no meaningful impact.
This is where AI consulting comes in. It’s not about simply «taking a trendy model» — it’s about connecting technology to specific business goals and making ROI visible.
Relevant Software acts as a partner, handling the most challenging aspects of AI implementation, including analytics, architecture, strategy, pilots, and scaling. They guide companies through the entire journey — from the first idea to the moment AI delivers measurable benefits.
The company has firsthand experience with AI’s capabilities. Relevant Software’s team developed an internal tool called AI Estimator, which analyzes requirements, compares them with thousands of previous projects, models architecture, and generates data for accurate estimates in minutes. It functions as an architect, developer, and analyst all in one.
«Our clients want quick estimates, prototypes, and PoCs to get started faster. AI Estimator reduces project estimation time from days to minutes,» shares Andrew Burak, founder and CEO of Relevant Software.
Relevant Software began exploring machine learning long before ChatGPT was on everyone’s smartphone, primarily to automate tests and improve data analytics — cutting development time by nearly a third. With the current AI hype, the company recognized that investments in AI and deep expertise were essential. That’s why they’re investing $1 million in R&D, infrastructure, scaling, and talent acquisition.
«2025 has changed perceptions of AI. We now see clear business opportunities to reduce costs and discover new growth points. Implementing AI efficiently and quickly is a competitive advantage,» adds Burak.
AI Capabilities for Business
The problem many companies face is understanding what AI is for and how to use it effectively. In the hype surrounding ChatGPT, founders often want «to do something with AI» simply because it’s trendy. Relevant Software views this as a misguided approach.
AI is often misunderstood as a silver bullet. Each project requires a clear design that focuses on business efficiency and delivers a calculated ROI.
That’s why Relevant Software begins every engagement with AI consulting, assessing the readiness of the business, infrastructure, and team.
«We set priorities, define an action plan, and start with the first project whose implementation can demonstrate clear business value. This way, we prove not only that a solution is technically feasible, but also that it is worth the investment and capable of generating returns,» the AI team explains.
This AI team has been operating at the company for several years. To support it, Relevant Software appointed a dedicated AI lead and established a cross-functional AI center that oversees the AI & Data Transformation program at the company-wide level.
At the initial stage, clients are also guided through regulatory requirements and the legal aspects of implementing artificial intelligence. Many of Relevant Software’s customers are based in the US and Europe, where AI-related regulations and rules are already in effect. As a result, the team provides dedicated consultations to ensure that products comply with all applicable standards. This helps mitigate potential risks and saves clients money that would otherwise be spent on fixing compliance-related issues.
How to determine what a client actually needs? By continuously learning and using all available systems firsthand. Relevant Software doesn’t just build AI solutions for others — it actively applies AI internally as well. In conversations with the editorial team, the developers mentioned using virtually every relevant tool on the market:
- Gemini, Liner, Perplexity, Claude – for gathering precise requirements and generating concepts
- v0, Cursor, Figma MCP – for front-end prototypes and complex interface cases, speeding design validation
- Anthropic Claude Code, OpenAI Codex – for AI-assisted coding, bug fixing, and test automation
- Virtuoso QA, Mabl – for automated testing and visual defect detection
- Jira, Confluence, Atlassian Rovo – for AI-assisted project management, task decomposition, and documentation
The AI team emphasizes that modern LLM-oriented AI is cutting-edge but sometimes unstable. The ecosystem evolves rapidly, requiring continuous monitoring of models, training methods, cloud services, and datasets. Ongoing learning is essential to delivering maximum value in AI projects. That’s why Relevant Software invests heavily in training its team.
How to Implement AI Effectively
Implementing AI solutions today is a competitive advantage for businesses. It enables optimization, automation, and better customer experiences. A simple example: with AI assistance, a customer can complete an online purchase 47% faster. The goal of Relevant Software’s AI and transformation consulting is to help clients identify solutions that directly impact business metrics and to implement them.
The collaboration framework typically looks like this:
- Discovery (2–4 weeks). An initial phase where the team evaluates business processes, data, systems, and internal team readiness. The client receives a detailed report on the current state and potential risks.
- Strategic phase (2–3 weeks). Defining key priorities and designing the architecture of the future solution. The outcome is a strategic AI roadmap with a clear action plan.
- Pilot (8–12 weeks). Implementation of a core function to validate its viability. The client receives a working prototype and a performance report.
- Scaling and integration (8–12 weeks or more). Development of a full-fledged solution, integration into business processes, and handover of the finished product.
- Final phase — continuous optimization. Ongoing system monitoring, model improvement, and support in building the client’s internal AI team.
The long-term project value begins not with code, but with a well-defined AI strategy. That’s why Relevant Software doesn’t just implement solutions — the team also consults clients, helps them understand technological capabilities, and builds clear development plans. «The greatest impact comes not from the tool itself, but from a strategic vision of how to apply it,» explains Andrew Burak.
Clients often turn to Relevant Software to build agent-based AI and RAG systems — solutions where models generate responses based on corporate data. To ensure these systems work correctly, the team validates the client’s databases, guaranteeing answer accuracy and minimizing hallucination risks.
Other common requests include automating complex multi-step processes, where AI can reduce execution time by half or more. Companies also frequently request the customization of LLMs for specific industries, enabling models to handle highly specialized tasks with greater accuracy.
«Applications for object and anomaly detection in manufacturing, quality control, and security are in high demand. Predictive models, which provide practical insights such as financial forecasting and medical diagnostics, are also gaining traction. We’ve delivered dozens of projects in computer vision and classic AI/ML for structured data analysis,» adds Andrew Burak.
Another important area is AI consulting focused on security and regulatory compliance. Relevant Software strictly adheres to the EU AI Act and GDPR requirements.
«We anonymize data wherever possible to reduce risk. We utilize proven technologies and secure infrastructure, featuring encryption and controlled access. We thoroughly vet all partners to ensure protection at every stage of AI systems,» the team explains.
This approach allows clients to scale their AI solutions smoothly across key markets.
Preparing for what’s next
What’s next for AI implementation? Scale — not geographically, but at the product level. While many companies today deploy a single AI agent, the near future will involve multiple agents working in sync. «The priority is multi-agent orchestration platforms that allow specialized agents to collaborate on complex end-to-end processes,» says Andrew Burak.
Relevant Software believes that within the next two to three years, this approach will become the foundation of advanced, competitive businesses. AI systems capable of proactively executing entire business processes with minimal human involvement will deliver levels of efficiency that are unprecedented today.
In this story, Relevant Software acts as both consultant and technology partner, helping businesses confidently adopt AI with security, scalability, and ROI in mind. «Our strength is that we build AI solutions for ourselves and for our clients. We’re not limited to theory — we work with real cases and proven methodologies. This is what a modern AI partnership should look like,» concludes Andrew Burak.
