Oleksandr (Sasha) Strozhemin is a сo-founder and CEO of Trinetix – a global technology company that provides strategy, design, and innovation services to Fortune 500 and fast-growing businesses operating in diverse areas, from finance and professional services to logistics, healthcare, and agriculture.
Leveraging its diverse arsenal of AI and GenAI, intelligent digital assistants, data and analytics, digital workplaces, experience design, and cloud enablement, Trinetix is committed to enabling business leaders to turn their product ideas into competitive, one-of-a-kind market offerings.
To further enable industry-redefining, Trinetix acts as a dedicated technology partner, delivering future-proof strategies and tech talents necessary for scoring transformation goals and driving long-term business outcomes.
Can you share the story behind the founding of Trinetix and your journey to becoming a strategic technology partner for Fortune 100 companies?
I’ve always been fascinated by the pace of innovation, the way new things change our lives with a click. But I’ve also noticed how fast this evolution has led to an overheated market. In 2011, the competition for being the next revolutionary provider and game-changer was extremely intense.
To me, it was a time of opportunity for creating something unique and outstanding. So, I took action.
We started our work in the US in 2011, focusing on AR, experience design, and mobile app development. Of course, AR was a central part of our service offerings because it was a budding trend back then, and it held a promise of creating the exact one-of-a-kind experiences I wanted to deliver.
To find new clients, I took an unorthodox approach. While we targeted the US market, we were particularly interested in companies with a global presence. So, to engage them, we opened a delivery office in Eastern Europe (Kyiv, Ukraine), where we delivered around 20 AR projects for P&G, Nivea, ExxonMobile, and Coca-Cola. It was a great call: in addition to assisting our clients with establishing their presence in the local market, we worked in a region highly responsive to innovation and rich with tech talent.
A year and a half of proactive work passes—and we get an invitation to participate in a tender for experience design for a Fortune 100 enterprise. It turns out they have been monitoring our work closely and added us to the candidates list.
We accept — and out of all the candidates, we are the only ones to give a ready-to-show offer with all the requirements dissected, UI prototypes prepared, and interaction logic animated. The company rep takes our submission to the decision-making group — and we’re in!
In the next two years of developing CX design practice, we smoothly transition to project engineering, taking projects put on deep hiatus and turning them into complete value-driving products.
Naturally, when you work with an industry leader, you find yourself on the threshold of disruptions, navigating and orchestrating transformation. So, our story of embedding AI, intelligent automation, and data analytics into enterprise processes starts at that point.
This experience left me with a deeper understanding of our mission — to guide businesses as they manage digital change and adopt it with maximum impact. This is our commitment.
Trinetix has developed AI chatbots, digital assistants, and AI-powered data intelligence solutions. Can you elaborate on how these technologies are transforming operations for your clients?
In short, I’d say that leveraging AI enables clients to accomplish more in less time—and by more, I mean much, much more.
Today, businesses have a wealth of valuable insights at their fingertips, but finding them requires organizing, categorizing, and validating data. If done by hand, the entire process can take months. Sometimes, there is too much data, and even 10 experts working 24/7 for months won’t suffice.
This is where AI comes into play — and I believe this is its strongest and most game-changing aspect. Replacing months of manual research with instant delivery of the right information for the right objective is simply revolutionary.
How do you ensure that your AI solutions are tailored to meet the specific needs of each client, particularly in diverse industries like logistics and healthcare?
Research comes first. Always.
Any AI model is as strong as the data used for training it and the knowledge of the niche it’s built for. So, we always start our work with a discovery session. It helps us explore how an enterprise operates, identify its strong points, and study its key competitors.
Our top priority is to put our clients’ vision and needs into features of the future solution—so we also build from their experience, research key enterprise processes, and discuss ways of addressing constraints.
We also establish the general digital dexterity levels across the enterprise and the needs of departments using the technology. That includes helping clients to onboard their teams and providing detailed yet straightforward instructions on operating with the solution.
Can you discuss a recent project where Trinetix integrated generative AI to solve a critical business challenge for a client? What were the key outcomes?
There has been such a case. A Fortune 500 client operating in freight management came to us with a request to transform their request-for-proposal (RPF) management processes.
Since they were handling their RPF tasks manually, they were dealing with slow response times and calculations while accumulating heaps of unstructured data (images, screenshots, emails) — which were never converted into value. Accordingly, great opportunities were either lost among the data or in delayed tasks.
A digital upgrade of key operations was in order.
We developed a multimodal solution that was powered by generative AI, transforming all the unstructured data into a comprehensible source of rich and robust insights. This solution enabled the client to generate quotes straight from the company’s mailboxes and provided end-to-end automation for faster task completion. As a result, the client accelerated their operations, increased their win rates, and optimized quote management, ultimately growing their revenue.
What are the main challenges you face when implementing generative AI solutions, and how do you overcome them?
The way I see it, many challenges stem from the human factor. For instance, when an enterprise adopts GenAI, employees worry that they are being replaced. As a result, AI meets organizational resistance, which defeats the entire point of technology adoption.
This is where we work together with enterprise leaders, helping them promote the change across their company. I think it’s crucial to address fears from a fact-based angle, providing a realistic perspective on the strengths and weaknesses of the technology. We also include employees in the development process, establishing feedback loops and showing them how the technology works and why it benefits them.
There is also a fear of uncertainty. Sometimes executives hesitate to proceed because they want to be confident that the ROI will be worth the overhaul. I think communication is once again the key. For instance, our teams always have a designated relationship manager who explains the change to stakeholders, updating them on our progress and the results they should expect.
Your approach emphasizes 360° value and innovation excellence. How do you ensure that your solutions continually provide value and stay ahead of market trends?
We base our work on three principles.
First, it’s not about the trend but what the client needs. Sometimes, the client comes to us with a presumed solution, but then a discovery session reveals alternatives that better fit their goals. And when we have a fit, we know we have a foundation that will work for the client for years to come.
Second, we base our solution planning on enterprises’ growth, scale, and evolution, so the end product must synergize with these processes. In addition to discussing the client’s potential roadmap and growth trajectory, we also study compatibility, ensuring that the client can integrate new platforms and systems into their framework.
Third, it’s autonomy. While we share responsibility and provide support and success monitoring, we see that clients’ teams can use the product and onboard new users easily without requiring our intervention. So, we approach our solutions from the user POV, anticipating potential issues and introducing measures to prevent them.
What role does intelligent automation play in driving business transformation and innovation for your clients?
Today, we’re observing the arrival of new, flexible business models that embrace change as the only constant. That means rigid models that burden human resources with numerous repetitive routines are becoming a thing of the past.
Intelligent automation enables organizations to make the transition by restructuring their operations and liberating their talents for more complex and impactful tasks. With intelligent automation handling all the processes that can be replicated, a company becomes more agile, gaining a stronger competitive standing and greater confidence in its next steps.
Data underpins many of your services. How does Trinetix help organizations maximize the strategic potential of their data?
Our goal is to connect decision-makers with value-rich insights, enabling them to access necessary data right when needed. That includes removing blindspots, data silos, and bottlenecks by equipping enterprises with every tool they need to dissect information flowing their way.
Instant report generation that converts volumes of complex information into comprehensive storytelling, intuitive dashboards, and fast and responsive AI-powered data analysis tools—we provide all the building blocks for data-fueled strategies.
Can you discuss a success story where your data and analytics services significantly impacted a client’s business operations?
One of our most prominent cases is the business entity research transformation we did for our Fortune 500 client.
Previously, such research was executed by hand—meaning that managers had to send queries across several departments and wait for their response. Then, they had to manually aggregate information collected from over 10 enterprise data systems into a report.
Accordingly, making just one report took months and the risk of human error was high, which led to an inaccurate picture of legal and compliance risks.
We developed a data management system that enabled a single view across all 10+ enterprise sources, providing full visibility of business entity connections and relationships. It allowed managers to generate relevant and accurate reports within days, increasing productivity while reducing the probability of data discrepancies.
What are some emerging trends in AI and digital solutions that you believe will shape the future of enterprise technology?
I’m particularly passionate about advancing and evolving AI assistants into intelligent workplace partners that gather information, facilitate cross-department communication, and enable service personalization by combining machine capacity with human agility.
From my perspective, the integration of AI assistants is going to significantly improve the quality of life for not just customers but also enterprise employees. This will create more dynamic business environments and foster a culture of proactive problem-solving.
Thank you for the great interview, readers who wish to learn more should visit Trinetix.
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