Oleksandr (Sasha) Strozhemin is a сo-founder and CEO of Trinetix – a worldwide technology company that gives strategy, design, and innovation services to Fortune 500 and fast-growing businesses operating in diverse areas, from finance and skilled 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 show 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 crucial for scoring transformation goals and driving long-term business outcomes.
Are you able to share the story behind the founding of Trinetix and your journey to becoming a strategic technology partner for Fortune 100 corporations?
I’ve all the time been fascinated by the pace of innovation, the way in which recent things change our lives with a click. But I’ve also noticed how briskly this evolution has led to an overheated market. In 2011, the competition for being the following 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 motion.
We began our work within the US in 2011, specializing in AR, experience design, and mobile app development. After all, AR was a central a part of our service offerings since it was a budding trend back then, and it held a promise of making the precise one-of-a-kind experiences I desired to deliver.
To seek out recent clients, I took an unorthodox approach. While we targeted the US market, we were particularly curious about corporations with a worldwide presence. So, to interact 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 an awesome call: along with assisting our clients with establishing their presence within the local market, we worked in a region highly attentive to innovation and wealthy with tech talent.
A yr and a half of proactive work passes—and we get an invite to take part in a young for experience design for a Fortune 100 enterprise. It seems they’ve been monitoring our work closely and added us to the candidates list.
We accept — and out of all of the candidates, we’re the one ones to present a ready-to-show offer with all the necessities dissected, UI prototypes prepared, and interaction logic animated. The corporate rep takes our submission to the decision-making group — and we’re in!
In the following two years of developing CX design practice, we easily transition to project engineering, taking projects placed on deep hiatus and turning them into complete value-driving products.
Naturally, once you work with an industry leader, you end up on the edge of disruptions, navigating and orchestrating transformation. So, our story of embedding AI, intelligent automation, and data analytics into enterprise processes starts at that time.
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. That is our commitment.
Trinetix has developed AI chatbots, digital assistants, and AI-powered data intelligence solutions. Are you able to elaborate on how these technologies are transforming operations to your clients?
In brief, I’d say that leveraging AI enables clients to perform more in less time—and by more, I mean much, more.
Today, businesses have a wealth of worthwhile insights at their fingertips, but finding them requires organizing, categorizing, and validating data. If done by hand, your entire process can take months. Sometimes, there is just too much data, and even 10 experts working 24/7 for months won’t suffice.
That is where AI comes into play — and I consider that is its strongest and most game-changing aspect. Replacing months of manual research with quick delivery of the precise information for the precise objective is just revolutionary.
How do you be certain that your AI solutions are tailored to satisfy the precise needs of every client, particularly in diverse industries like logistics and healthcare?
Research comes first. At all times.
Any AI model is as strong as the info used for training it and the knowledge of the area of interest it’s built for. So, we all the time start our work with a discovery session. It helps us explore how an enterprise operates, discover its strong points, and study its key competitors.
Our top priority is to place our clients’ vision and wishes into features of the long run solution—so we also construct from their experience, research key enterprise processes, and discuss ways of addressing constraints.
We also establish the overall digital dexterity levels across the enterprise and the needs of departments using the technology. That features helping clients to onboard their teams and providing detailed yet straightforward instructions on operating with the answer.
Are you able to discuss a recent project where Trinetix integrated generative AI to resolve a critical business challenge for a client? What were the important thing outcomes?
There was such a case. A Fortune 500 client operating in freight management got here to us with a request to remodel their request-for-proposal (RPF) management processes.
Since they were handling their RPF tasks manually, they were coping 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 amongst the info or in delayed tasks.
A digital upgrade of key operations was so as.
We developed a multimodal solution that was powered by generative AI, transforming all of the unstructured data right into a comprehensible source of wealthy and robust insights. This solution enabled the client to generate quotes straight from the corporate’s mailboxes and provided end-to-end automation for faster task completion. Because of this, the client accelerated their operations, increased their win rates, and optimized quote management, ultimately growing their revenue.
What are the fundamental challenges you face when implementing generative AI solutions, and the way do you overcome them?
The best way I see it, many challenges stem from the human factor. As an example, when an enterprise adopts GenAI, employees worry that they’re being replaced. Because of this, AI meets organizational resistance, which defeats your entire point of technology adoption.
That is where we work along with enterprise leaders, helping them promote the change across their company. I feel it’s crucial to handle fears from a fact-based angle, providing a practical perspective on the strengths and weaknesses of the technology. We also include employees in the event process, establishing feedback loops and showing them how the technology works and why it advantages them.
There’s also a fear of uncertainty. Sometimes executives hesitate to proceed because they wish to be confident that the ROI will likely be well worth the overhaul. I feel communication is once more the important thing. As an example, our teams all the time have a chosen relationship manager who explains the change to stakeholders, updating them on our progress and the outcomes they need to expect.
Your approach emphasizes 360° value and innovation excellence. How do you be certain that your solutions continually provide value and stay ahead of market trends?
We base our work on three principles.
First, it isn’t concerning the trend but what the client needs. Sometimes, the client involves us with a presumed solution, but then a discovery session reveals alternatives that higher fit their goals. And when we now have a fit, we all know we now have a foundation that can work for the client for years to return.
Second, we base our solution planning on enterprises’ growth, scale, and evolution, so the top product must synergize with these processes. Along with discussing the client’s potential roadmap and growth trajectory, we also study compatibility, ensuring that the client can integrate recent platforms and systems into their framework.
Third, it’s autonomy. While we share responsibility and supply support and success monitoring, we see that clients’ teams can use the product and onboard recent users easily without requiring our intervention. So, we approach our solutions from the user POV, anticipating potential issues and introducing measures to forestall them.
What role does intelligent automation play in driving business transformation and innovation to your clients?
Today, we’re observing the arrival of recent, flexible business models that embrace change because the only constant. Which means rigid models that burden human resources with quite a few repetitive routines have gotten 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 of the processes that might be replicated, an organization becomes more agile, gaining a stronger competitive standing and greater confidence in its next steps.
Data underpins a lot of your services. How does Trinetix help organizations maximize the strategic potential of their data?
Our goal is to attach decision-makers with value-rich insights, enabling them to access crucial data right when needed. That features removing blindspots, data silos, and bottlenecks by equipping enterprises with every tool they should dissect information flowing their way.
Quick report generation that converts volumes of complex information into comprehensive storytelling, intuitive dashboards, and fast and responsive AI-powered data evaluation tools—we offer all of the constructing blocks for data-fueled strategies.
Are you able to discuss successful story where your data and analytics services significantly impacted a client’s business operations?
Certainly one of our most outstanding cases is the business entity research transformation we did for our Fortune 500 client.
Previously, such research was executed by hand—meaning that managers needed to send queries across several departments and wait for his or her response. Then, that they had to manually aggregate information collected from over 10 enterprise data systems right into a report.
Accordingly, making only one report took months and the chance of human error was high, which led to an inaccurate picture of legal and compliance risks.
We developed a knowledge 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 inside days, increasing productivity while reducing the probability of knowledge discrepancies.
What are some emerging trends in AI and digital solutions that you simply consider will shape the long run of enterprise technology?
I’m particularly captivated with advancing and evolving AI assistants into intelligent workplace partners that gather information, facilitate cross-department communication, and enable service personalization by combining machine capability with human agility.
From my perspective, the mixing of AI assistants goes to significantly improve the standard of life for not only customers but additionally enterprise employees. It will create more dynamic business environments and foster a culture of proactive problem-solving.
