Oleksandr (Sasha) Strozhemin is a сo-founder and CEO of Trinetix – a world expertise firm that gives technique, design, and innovation providers to Fortune 500 and fast-growing companies working in numerous areas, from finance {and professional} providers to logistics, healthcare, and agriculture.
Leveraging its numerous arsenal of AI and GenAI, clever digital assistants, information and analytics, digital workplaces, expertise design, and cloud enablement, Trinetix is dedicated to enabling enterprise leaders to show their product concepts into aggressive, one-of-a-kind market choices.
To additional allow industry-redefining, Trinetix acts as a devoted expertise accomplice, delivering future-proof methods and tech abilities essential for scoring transformation objectives and driving long-term enterprise outcomes.
Are you able to share the story behind the founding of Trinetix and your journey to changing into a strategic expertise accomplice for Fortune 100 corporations?
I’ve at all times been fascinated by the tempo of innovation, the way in which new issues change our lives with a click on. However I’ve additionally observed how briskly this evolution has led to an overheated market. In 2011, the competitors for being the subsequent revolutionary supplier and game-changer was extraordinarily intense.
To me, it was a time of alternative for creating one thing distinctive and excellent. So, I took motion.
We began our work within the US in 2011, specializing in AR, expertise design, and cellular app improvement. After all, AR was a central a part of our service choices as a result of it was a budding pattern again then, and it held a promise of making the precise one-of-a-kind experiences I needed to ship.
To search out new shoppers, I took an unorthodox method. Whereas we focused the US market, we had been significantly inquisitive about corporations with a world presence. So, to interact them, we opened a supply workplace in Japanese Europe (Kyiv, Ukraine), the place we delivered round 20 AR initiatives for P&G, Nivea, ExxonMobile, and Coca-Cola. It was a fantastic name: along with helping our shoppers with establishing their presence within the native market, we labored in a area extremely conscious of innovation and wealthy with tech expertise.
A yr and a half of proactive work passes—and we get an invite to take part in a young for expertise design for a Fortune 100 enterprise. It seems they’ve been monitoring our work carefully and added us to the candidates record.
We settle for — and out of all of the candidates, we’re the one ones to offer a ready-to-show supply with all the necessities dissected, UI prototypes ready, and interplay logic animated. The corporate rep takes our submission to the decision-making group — and we’re in!
Within the subsequent two years of growing CX design follow, we easily transition to undertaking engineering, taking initiatives placed on deep hiatus and turning them into full value-driving merchandise.
Naturally, whenever you work with an {industry} chief, you end up on the brink of disruptions, navigating and orchestrating transformation. So, our story of embedding AI, clever automation, and information analytics into enterprise processes begins at that time.
This expertise left me with a deeper understanding of our mission — to information companies as they handle digital change and undertake it with most impression. That is our dedication.
Trinetix has developed AI chatbots, digital assistants, and AI-powered information intelligence options. Are you able to elaborate on how these applied sciences are reworking operations to your shoppers?
Briefly, I’d say that leveraging AI permits shoppers to perform extra in much less time—and by extra, I imply a lot, a lot extra.
As we speak, companies have a wealth of useful insights at their fingertips, however discovering them requires organizing, categorizing, and validating information. If completed by hand, the complete course of can take months. Generally, there’s an excessive amount of information, and even 10 consultants working 24/7 for months gained’t suffice.
That is the place AI comes into play — and I imagine that is its strongest and most game-changing side. Changing months of handbook analysis with on the spot supply of the appropriate data for the appropriate goal is solely revolutionary.
How do you make sure that your AI options are tailor-made to satisfy the particular wants of every shopper, significantly in numerous industries like logistics and healthcare?
Analysis comes first. All the time.
Any AI mannequin is as sturdy as the info used for coaching it and the information of the area of interest it is constructed for. So, we at all times begin our work with a discovery session. It helps us discover how an enterprise operates, determine its sturdy factors, and research its key rivals.
Our high precedence is to place our shoppers’ imaginative and prescient and wishes into options of the longer term answer—so we additionally construct from their expertise, analysis key enterprise processes, and focus on methods of addressing constraints.
We additionally set up the overall digital dexterity ranges throughout the enterprise and the wants of departments utilizing the expertise. That features serving to shoppers to onboard their groups and offering detailed but simple directions on working with the answer.
Are you able to focus on a current undertaking the place Trinetix built-in generative AI to unravel a important enterprise problem for a shopper? What had been the important thing outcomes?
There was such a case. A Fortune 500 shopper working in freight administration got here to us with a request to rework their request-for-proposal (RPF) administration processes.
Since they had been dealing with their RPF duties manually, they had been coping with gradual response instances and calculations whereas accumulating heaps of unstructured information (pictures, screenshots, emails) — which had been by no means transformed into worth. Accordingly, nice alternatives had been both misplaced among the many information or in delayed duties.
A digital improve of key operations was so as.
We developed a multimodal answer that was powered by generative AI, reworking all of the unstructured information right into a understandable supply of wealthy and strong insights. This answer enabled the shopper to generate quotes straight from the corporate’s mailboxes and supplied end-to-end automation for quicker process completion. Because of this, the shopper accelerated their operations, elevated their win charges, and optimized quote administration, in the end rising their income.
What are the principle challenges you face when implementing generative AI options, and the way do you overcome them?
The best way I see it, many challenges stem from the human issue. For example, when an enterprise adopts GenAI, workers fear that they’re being changed. Because of this, AI meets organizational resistance, which defeats the complete level of expertise adoption.
That is the place we work along with enterprise leaders, serving to them promote the change throughout their firm. I feel it is essential to handle fears from a fact-based angle, offering a practical perspective on the strengths and weaknesses of the expertise. We additionally embody workers within the improvement course of, establishing suggestions loops and displaying them how the expertise works and why it advantages them.
There may be additionally a worry of uncertainty. Generally executives hesitate to proceed as a result of they need to be assured that the ROI might be well worth the overhaul. I feel communication is as soon as once more the important thing. For example, our groups at all times have a chosen relationship supervisor who explains the change to stakeholders, updating them on our progress and the outcomes they need to anticipate.
Your method emphasizes 360° worth and innovation excellence. How do you make sure that your options regularly present worth and keep forward of market developments?
We base our work on three ideas.
First, it is not concerning the pattern however what the shopper wants. Generally, the shopper involves us with a presumed answer, however then a discovery session reveals alternate options that higher match their objectives. And when now we have a match, we all know now we have a basis that can work for the shopper for years to come back.
Second, we base our answer planning on enterprises’ progress, scale, and evolution, so the tip product should synergize with these processes. Along with discussing the shopper’s potential roadmap and progress trajectory, we additionally research compatibility, guaranteeing that the shopper can combine new platforms and methods into their framework.
Third, it is autonomy. Whereas we share duty and supply assist and success monitoring, we see that shoppers’ groups can use the product and onboard new customers simply with out requiring our intervention. So, we method our options from the person POV, anticipating potential points and introducing measures to stop them.
What position does clever automation play in driving enterprise transformation and innovation to your shoppers?
As we speak, we’re observing the arrival of latest, versatile enterprise fashions that embrace change as the one fixed. Meaning inflexible fashions that burden human assets with quite a few repetitive routines have gotten a factor of the previous.
Clever automation permits organizations to make the transition by restructuring their operations and liberating their abilities for extra advanced and impactful duties. With clever automation dealing with all of the processes that may be replicated, an organization turns into extra agile, gaining a stronger aggressive standing and better confidence in its subsequent steps.
Knowledge underpins lots of your providers. How does Trinetix assist organizations maximize the strategic potential of their information?
Our objective is to attach decision-makers with value-rich insights, enabling them to entry essential information proper when wanted. That features eradicating blindspots, information silos, and bottlenecks by equipping enterprises with each device they should dissect data flowing their means.
Instantaneous report era that converts volumes of advanced data into complete storytelling, intuitive dashboards, and quick and responsive AI-powered information evaluation instruments—we offer all of the constructing blocks for data-fueled methods.
Are you able to focus on successful story the place your information and analytics providers considerably impacted a shopper’s enterprise operations?
Certainly one of our most distinguished instances is the enterprise entity analysis transformation we did for our Fortune 500 shopper.
Beforehand, such analysis was executed by hand—that means that managers needed to ship queries throughout a number of departments and wait for his or her response. Then, they needed to manually combination data collected from over 10 enterprise information methods right into a report.
Accordingly, making only one report took months and the danger of human error was excessive, which led to an inaccurate image of authorized and compliance dangers.
We developed a knowledge administration system that enabled a single view throughout all 10+ enterprise sources, offering full visibility of enterprise entity connections and relationships. It allowed managers to generate related and correct stories inside days, rising productiveness whereas decreasing the chance of information discrepancies.
What are some rising developments in AI and digital options that you simply imagine will form the way forward for enterprise expertise?
I’m significantly obsessed with advancing and evolving AI assistants into clever office companions that collect data, facilitate cross-department communication, and allow service personalization by combining machine capability with human agility.
From my perspective, the combination of AI assistants goes to considerably enhance the standard of life for not simply prospects but additionally enterprise workers. This may create extra dynamic enterprise environments and foster a tradition of proactive problem-solving.
Thanks for the good interview, readers who want to be taught extra ought to go to Trinetix.
