This interview is with Filip Roškot, CTO at UniteSync.

Filip Roškot, CTO, UniteSync

Can you tell us about your background in tech and your current role in the SaaS industry?

Absolutely. I have more than 10 years of experience in software development. I have a Master's degree in Applied Informatics from the University of Hradec Králové in the Czech Republic. I have worked across the full stack over the years, but my specialty is building scalable web applications and automating complex workflows.

I am currently the CTO and co-founder of UniteSync, a SaaS platform that assists music creators and publishers in collecting royalties more efficiently. My main focus is on developing tools that make the notoriously complex world of music rights easier to navigate, using automation and smart data matching to ensure that our users get paid what they are owed. I am passionate about creating reliable systems that make a real-world impact, especially for independent creators who are often left behind by legacy solutions.

What inspired you to focus on scaling SaaS businesses, and how has your journey in this field evolved over time?

Great question. The main reason I chose to concentrate on SaaS business scaling emerged from the need to develop operational systems that expand effectively. During my early career, I experienced multiple projects which demonstrated how user growth caused system failures. My interest in scalability emerged because of the need to understand how technology infrastructure works together with product design, automation, and user experience to support growth.

My professional development led me from being a developer to becoming a product strategy-focused professional. At UniteSync, I have built our platform from scratch with scalability as the foundation by designing royalty data processing, user onboarding, and support automation systems. The process of scaling a SaaS product requires anticipating future problems and developing systems which expand without increasing complexity or additional costs. The puzzle remains in a state of continuous evolution, which maintains its exciting nature.

Based on your experience with UniteSync, what's the most critical factor in successfully scaling a SaaS product while maintaining data integrity and system reliability?

The essential key to SaaS product growth with reliable systems and intact data integrity is establishing automation and observability infrastructure during the initial phase of development.

The UniteSync platform handles complex royalty data from various sources throughout different territories. A single minor data inconsistency would produce actual financial problems for users of our system. Data integrity stands as an essential core component of our product at UniteSync because our users need it to function.

To scale effectively, we've focused on three key pillars:

1. Our data ingestion and matching processes run automatically but contain built-in integrity checks and backup systems at each step. Our fast-paced operations maintain accuracy levels at all times.

2. The system structure allows independent expansion of separate components. The horizontal scaling of our system allows us to handle additional users and new data types without modifying the core functionality.

3. Internal dashboards and alert systems which we developed enable instant detection of anomalies. The system enables our team to take action before issues occur.

The foundation of trust depends on establishing confidence in both system operations and user relationships. A scalable SaaS product requires reliability and accuracy to succeed, particularly in the music rights industry, because it operates with minimal room for errors.

Can you share a specific challenge you faced when integrating fintech solutions for subscription-based models in a SaaS product? How did you overcome it?

The main difficulty we encountered at UniteSync during subscription model fintech solution integration involved handling global compliance alongside payout routing. Our user base across various international locations required us to develop reliable subscription charging and royalty payout systems that support different currencies and jurisdictions.

The management of tax compliance and identity verification (KYC/AML) presented a particular problem for creators operating in regions with underdeveloped fintech systems. The majority of providers provided fragmented solutions, but none provided payment processing and payout functionality to our required level of transparency.

We implemented multiple solutions to solve this problem:

Modular fintech stack: We didn't rely on a single provider. Our system uses a flexible design that enables Stripe subscription processing and Wise and Payoneer partnership-based global payout services based on user location.

Automated KYC flows: Our organization developed an automated onboarding process which guides user data through provider APIs for validation and early detection of issues without requiring human interaction.

Clear audit trails: We established complete transparency for every financial transaction, including subscription payments and fees and royalty distributions. The system establishes trust with users while simplifying both audit processes and support operations.

The implementation process required patience but resulted in a global-scale system which adapts to local needs and functions seamlessly without creating user friction. The SaaS environment requires both user-friendly operations and precise financial accuracy, so this solution represents a major achievement.

As a tech leader, how do you approach the balance between rapid development and maintaining code quality in a fast-growing SaaS environment?

The balance between speed and quality stands as one of the main difficulties which fast-growing SaaS companies face, and it occupies my thoughts daily. UniteSync operates with the belief that speed and quality can exist together when the team maintains disciplined development practices. I adopt a fast-paced approach that includes protective measures which ensure long-term stability. Here's how we do it:

The team releases small portions of work, which helps us maintain a high velocity of delivery. The approach reduces potential dangers while allowing us to detect errors during the initial stages of development. The method enables team members to maintain quick alignment with user feedback while working together.

The implementation of automated testing represents an absolute necessity for our organization. The company runs unit and integration tests on all essential features. The process does not result in flawless outcomes, but it provides enough assurance for rapid development without system breakdowns.

The purpose of our code review process includes evaluating code clarity together with scalability and core architecture alignment. The goal of our review process focuses on teaching and distributing knowledge between team members rather than focusing on minor details.

The company tracks all technical debt while scheduling specific times for its cleanup. Technical debt receives our attention through logging and prioritization, followed by scheduled time allocations for regular cleanup sprints. We maintain fast development by avoiding unstable platforms through this approach.

The CEO and operations team, along with me, establish clear product-technology alignment by identifying essential fast-tracking requirements and determining which tasks can wait. Every feature does not need immediate release, but recognizing this fact enables us to distribute our resources effectively.

Code quality functions as a speed enabler rather than a speed blocker according to my perspective. Your team will achieve faster speeds when you establish clean architecture and strong practices during the early stages because they can avoid constant firefighting. The momentum we developed at UniteSync represents our current state.

What's the most innovative AI-driven tool you've implemented in your development process, and how has it impacted your team's efficiency?

The automated work matching system at UniteSync represents one of our most advanced AI-powered tools, which uses AI-assisted fuzzy logic together with metadata analysis to connect musical works between PRO registrations, DSP reports, and royalty statements.

The music rights industry faces data fragmentation as one of its major challenges. A song will have different names, writer names, and identification numbers when listed across multiple platforms. The process of manually fixing these differences proves both time-consuming and prone to errors.

Our system achieved significant reduction in manual work for our ops team through its ability to detect patterns and similarities in data, such as matching "Carlos Palop" to "C. Palop" and "In Your Arms (Remix)" to the original song.

Here's the impact:

Our team now dedicates their hours to edge cases and support because the process that used to require hours per client now takes only minutes.

The AI system identifies matches that human operators would normally miss, especially when working with extensive music collections.

The system allows our company to expand user numbers without creating proportional increases in operational expenses.

Our development workflow includes GitHub Copilot and ChatGPT AI tools for boilerplate code generation and documentation, alongside logic suggestions, but our domain-specific AI solution stands as the real breakthrough. Our core value of fast and accurate creator payments drives our domain-specific AI solution directly.

Can you describe a situation where you had to make a tough decision between adding a new feature and improving existing infrastructure? How did you navigate this?

Absolutely. The launch preparation for our real-time royalty flow analytics dashboard became a major highlight because it required extensive work. Users strongly desired this feature, which generated widespread enthusiasm throughout the organization.

Our infrastructure, which processed large CSV reports from PROs and DSPs, faced increasing strain because our user base continued to grow. The rising processing times caused occasional data consistency problems through system timeouts.

We faced an important decision, which involved launching an attractive new feature for marketing and user retention or investing time to rebuild our backend pipeline for future reliability.

The infrastructure upgrade took priority because we recognized all future features, including the analytics dashboard, required accurate and timely data for their successful operation. Launching our product on an unstable foundation would produce additional technical problems and user trust issues.

To navigate it:

I helped our CEO explain the reasons to stakeholders and clients about this investment for long-term product stability.

We introduced a simplified "status preview" version of the dashboard, which provided users with some visibility while we worked on completing the full dashboard.

The development team created a modular queue-based ingestion pipeline, which dramatically enhanced both processing efficiency and system reliability.

The investment led to positive results. When the dashboard launched, it performed well because it rested on a robust infrastructure foundation. The experience demonstrated that sustainable growth outperforms short-term wins in SaaS operations.

In your experience, what's the most underrated aspect of scaling a SaaS business that entrepreneurs often overlook?

Internal tooling and automation represents a crucial yet frequently overlooked factor for SaaS business scaling, according to my experience as a founder. All founders direct their attention to user-facing features and marketing and growth initiatives, which are essential, yet many overlook how their internal systems need to scale with their customer base.

Your operations team will quickly reach a wall when they need to perform manual tasks for user onboarding, payment verification, data matching, and support handling.

UniteSync dedicated resources to develop internal dashboards, automation systems, and error-handling mechanisms during our early stages of development. Our small team achieved high accuracy while serving a growing number of users through this system. For example:

Our operations team receives automatic metadata conflict detection along with proposed solutions through our custom-built tools.

The company implemented automated systems to perform KYC reviews and generate contracts.

Internal alerts from our system detect royalty data anomalies before users become aware of them.

The unappealing internal systems enable our company to expand without requiring excessive hiring of new staff. They give us leverage. Internal UX holds the same level of importance as external UX because they both matter equally. Efficient backend systems enable your team to work at a faster pace, which creates positive user experiences.

Looking ahead, what emerging technology or trend do you believe will have the biggest impact on SaaS development and scaling in the next five years?

The main influence on SaaS development and scaling during the upcoming five years will stem from AI agents and autonomous workflows becoming mainstream operational layers that drive both decision-making and execution. The current market shows initial indications that AI agents will perform tasks such as ticket triage, code writing, infrastructure cost optimization, and product improvement suggestions through usage pattern analysis. We are only beginning to explore the potential of this technology.

AI agents will manage extensive SaaS operations in the near future by performing user onboarding tasks, system health monitoring, anomaly response, and real-time microservices orchestration. The technology surpasses automation because it develops systems that adapt to increasing user numbers while avoiding permanent human resource expansion.

UniteSync is currently testing this concept through our intelligent data reconciliation tools and smart routing for royalties system. And I see huge potential in areas like:

• Predictive infrastructure scaling

• Context-aware support agents

• AI-driven QA and testing

• Automated compliance and reporting

Human supervision will remain essential, but AI technology enables small teams to function at the level of larger organizations. The SaaS teams which integrate AI as operational infrastructure instead of treating it as a feature will achieve the fastest and most sustainable growth.

Thanks for sharing your knowledge and expertise. Is there anything else you'd like to add?

Thanks, I really appreciate the conversation. The process of scaling a SaaS business requires both technological expertise and mental preparedness. The most successful products I have worked on were developed by teams which maintained absolute focus on solving real problems while showing empathy toward users. UniteSync exists to provide creators with tools that help them recover their rightful ownership.

The purpose behind our work leads our technical choices and determines our future development and expansion plans. My advice to anyone building in SaaS: anchor your development in real-world impact. Your technology becomes valuable when it simplifies tasks for users, so you are moving in the correct direction. Thanks again—it's been a pleasure sharing this with you.