Oleksandr (Sasha) Strozhemin is a сo-founder and CEO of Trinetix – a worldwide expertise firm that gives technique, design, and innovation providers to Fortune 500 and fast-growing companies working in various areas, from finance {and professional} providers to logistics, healthcare, and agriculture.
Leveraging its various 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 crucial 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 turning into a strategic expertise accomplice for Fortune 100 firms?
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 following 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 cell app improvement. In fact, AR was a central a part of our service choices as a result of it was a budding development again then, and it held a promise of making the precise one-of-a-kind experiences I needed to ship.
To search out new purchasers, I took an unorthodox method. Whereas we focused the US market, we have been notably eager about firms with a worldwide presence. So, to have interaction them, we opened a supply workplace in Jap Europe (Kyiv, Ukraine), the place we delivered round 20 AR tasks for P&G, Nivea, ExxonMobile, and Coca-Cola. It was an incredible name: along with aiding our purchasers 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 listing.
We settle for — and out of all of the candidates, we’re the one ones to provide a ready-to-show provide 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 observe, we easily transition to mission engineering, taking tasks placed on deep hiatus and turning them into full value-driving merchandise.
Naturally, while 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 affect. 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 on your purchasers?
Briefly, I’d say that leveraging AI permits purchasers to perform extra in much less time—and by extra, I imply a lot, a lot extra.
Right this moment, companies have a wealth of useful insights at their fingertips, however discovering them requires organizing, categorizing, and validating information. If carried out by hand, the whole course of can take months. Typically, there’s an excessive amount of information, and even 10 specialists working 24/7 for months received’t suffice.
That is the place AI comes into play — and I consider that is its strongest and most game-changing side. Changing months of guide analysis with prompt supply of the precise info for the precise goal is solely revolutionary.
How do you make sure that your AI options are tailor-made to satisfy the particular wants of every consumer, notably in various 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, establish its sturdy factors, and research its key rivals.
Our high precedence is to place our purchasers’ imaginative and prescient and desires into options of the long run resolution—so we additionally construct from their expertise, analysis key enterprise processes, and talk about 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 purchasers to onboard their groups and offering detailed but easy directions on working with the answer.
Are you able to talk about a latest mission the place Trinetix built-in generative AI to unravel a essential enterprise problem for a consumer? What have been the important thing outcomes?
There was such a case. A Fortune 500 consumer working in freight administration got here to us with a request to remodel their request-for-proposal (RPF) administration processes.
Since they have been dealing with their RPF duties manually, they have been coping with sluggish response occasions and calculations whereas accumulating heaps of unstructured information (photographs, screenshots, emails) — which have been by no means transformed into worth. Accordingly, nice alternatives have been both misplaced among the many information or in delayed duties.
A digital improve of key operations was so as.
We developed a multimodal resolution that was powered by generative AI, reworking all of the unstructured information right into a understandable supply of wealthy and sturdy insights. This resolution enabled the consumer to generate quotes straight from the corporate’s mailboxes and supplied end-to-end automation for quicker job completion. In consequence, the consumer accelerated their operations, elevated their win charges, and optimized quote administration, finally rising their income.
What are the primary 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. As an example, when an enterprise adopts GenAI, staff fear that they’re being changed. In consequence, AI meets organizational resistance, which defeats the whole level of expertise adoption.
That is the place we work along with enterprise leaders, serving to them promote the change throughout their firm. I believe 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 embrace staff within the improvement course of, establishing suggestions loops and displaying them how the expertise works and why it advantages them.
There’s additionally a concern of uncertainty. Typically executives hesitate to proceed as a result of they wish to be assured that the ROI will likely be well worth the overhaul. I believe communication is as soon as once more the important thing. As an example, our groups at all times have a delegated relationship supervisor who explains the change to stakeholders, updating them on our progress and the outcomes they need to count on.
Your method emphasizes 360° worth and innovation excellence. How do you make sure that your options frequently present worth and keep forward of market tendencies?
We base our work on three rules.
First, it isn’t in regards to the development however what the consumer wants. Typically, the consumer involves us with a presumed resolution, however then a discovery session reveals options that higher match their objectives. And when we’ve a match, we all know we’ve a basis that may work for the consumer for years to come back.
Second, we base our resolution planning on enterprises’ progress, scale, and evolution, so the tip product should synergize with these processes. Along with discussing the consumer’s potential roadmap and progress trajectory, we additionally research compatibility, guaranteeing that the consumer can combine new platforms and techniques into their framework.
Third, it is autonomy. Whereas we share accountability and supply assist and success monitoring, we see that purchasers’ 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 function does clever automation play in driving enterprise transformation and innovation on your purchasers?
Right this moment, we’re observing the arrival of recent, versatile enterprise fashions that embrace change as the one fixed. Which means 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 higher confidence in its subsequent steps.
Information 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 crucial information proper when wanted. That features eradicating blindspots, information silos, and bottlenecks by equipping enterprises with each software they should dissect info flowing their method.
Instantaneous report technology that converts volumes of advanced info 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 talk about successful story the place your information and analytics providers considerably impacted a consumer’s enterprise operations?
One in every of our most outstanding circumstances is the enterprise entity analysis transformation we did for our Fortune 500 consumer.
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 info collected from over 10 enterprise information techniques right into a report.
Accordingly, making only one report took months and the chance of human error was excessive, which led to an inaccurate image of authorized and compliance dangers.
We developed an information 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, growing productiveness whereas decreasing the likelihood of knowledge discrepancies.
What are some rising tendencies in AI and digital options that you just consider will form the way forward for enterprise expertise?
I’m notably enthusiastic about advancing and evolving AI assistants into clever office companions that collect info, 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 clients but in addition enterprise staff. This may create extra dynamic enterprise environments and foster a tradition of proactive problem-solving.
Thanks for the nice interview, readers who want to study extra ought to go to Trinetix.