Beevanta is redefining how companies use AI in a field where efficiency, accuracy, and speed are critical values. Olga Brumnik founded the business on a simple principle: replace rigid, one-size-fits-all tech strategies with a customized, vendor-neutral approach that emphasizes quantifiable ROI and practical adoption. Beevanta connects AI theory and business impact from strategy to implementation and training, particularly for small and mid-sized businesses that require quick fixes without a lot of flash.
Business Now got in touch with Olga Brumnik to explore the origins of Beevanta, the challenges of AI adoption, and how the company is helping businesses turn smart technology into tangible value.
BN: Beevanta has evolved from its earlier days as Beecon into a prominent AI-driven advisory for supply chain and logistics. Could you share the story of that transformation and how your vision for the company has developed over time?
Olga Brumnik: Absolutely. I began my entrepreneurial journey in 2023 under the name Beecon. At that time, I was working independently, supporting digital transformation projects in logistics and supply chain operations. The work was very hands-on – streamlining processes, identifying inefficiencies, and essentially helping companies figure out how to make technology work for them in real-world situations.
But over time, something interesting started to happen. No matter which company I worked with or what kind of project I was involved in, conversations kept circling back to the same question: “How do we actually make artificial intelligence useful for us?” That recurring question became the turning point.
In early 2025, I founded Beevanta – a boutique advisory firm focused entirely on artificial intelligence. We made this shift because AI was no longer just one piece of the digital transformation puzzle. It had become one of the key drivers. And our clients were already moving in that direction, so it made sense for us to evolve alongside them. We doubled down on certifications, deepened our technical knowledge, and built a team that could bridge the gap between AI theory and the practical, operational world of logistics and finance.
Today, Beevanta supports companies across the full AI journey – from building AI literacy and developing strategies, to implementation and training. And we do not just train systems – we train people. Because AI without adoption is just a shiny tool that no one knows how to use.
Q: You emphasize a vendor-neutral, ROI-driven approach in your AI recommendations. How does this philosophy shape the client experience, and why is it particularly critical in today’s rapidly changing technological landscape?
At Beevanta, we made a very conscious decision to remain vendor-neutral. That means we do not push “one-size-fits-all” solutions or try to sell clients an all-in-one miracle platform. Instead, we analyze each company’s unique situation and recommend solutions that actually fit their needs – not ones that look good in a sales pitch.
Every business is different, so our solutions are tailor-made. For some companies, the best next step might be as simple as implementing a smarter knowledge management system. For others, it might involve developing a full AI operating system to connect workflows or even designing custom AI assistants for very specific tasks.
What matters most to us is impact. If a solution does not improve cost, speed, or quality, it does not cut. That is the filter we apply to everything we do. It keeps us focused on delivering real value, not just technology for the sake of technology.
Q: AI is increasingly becoming a cornerstone of logistics and supply chain management. What do you consider the most significant challenges companies face when adopting AI, and how does Beevanta guide them through these hurdles to achieve measurable outcomes?
The biggest challenge we see is not technology – it is people. Of course, data infrastructure and algorithms matter, but those are usually solvable. What really holds companies back is the human element.
Very often, the technology is already available. In some cases, it is even built into existing systems. But employees either do not know it exists, do not know how to use it, or avoid it altogether because they have not been trained or brought into the process. AI is only as strong as the input it receives, and without the right mindset and skills, the output is never as effective as it could be.
That is why we involve people from the very beginning. We find internal champions – people who believe in the potential of AI – and we co-develop use cases with them. We make training part of the journey, not an afterthought. When people understand the technology, trust it, and feel a sense of ownership over it, that is when the real transformation happens.
Q: Beevanta works with a variety of companies, from small businesses to large enterprises. Based on your experience, what are the key differences in how these organizations approach digital transformation, and how does Beevanta tailor its solutions to meet their unique needs?
Large enterprises typically have the resources to build their own AI solutions in-house. They have got big teams, big budgets, and the time to experiment. And that is great for them.
But small and medium-sized enterprises – the SMEs – operate in a completely different environment. They have leaner teams, tighter budgets, and very little room for trial and error. What they need are solutions that are practical, cost-effective, and fast to implement.
That is where Beevanta can really make a difference. We tailor every solution to the client’s actual day-to-day reality. Not to a consultant’s slide deck. We believe in starting with quick wins – small but visible improvements that prove AI can help immediately. Once people see the benefits, momentum builds. Then we can move into deeper, long-term transformation.
We also make sure every solution is something the team can sustain without us. It is not about parachuting in, making changes, and leaving chaos behind. It is about building capabilities that last – solutions that become part of the daily workflow, not just another “consulting project” that ends up on a shelf.
Q: Ensuring that AI solutions deliver tangible value is a core part of Beevanta’s mission. Can you elaborate on how you ensure the solutions you recommend do not just sound good in theory, but are practically applicable and result in real improvements for your clients’ bottom lines?
We always start with one clear principle: if it does not improve cost, speed, or quality, it does not get implemented.
It is easy to get caught up in flashy AI demos and trendy promises. But in the end, what really matters is whether the solution works inside the client’s business, with their systems, their team, and their budget.
That is why we focus on practical results from day one. We begin with quick wins – because people need to see immediate value. Then we validate use cases using the company’s actual data. We build proofs of concept to see if the solution pays off. We check whether it can scale and whether it makes financial sense. And most importantly, we train employees to take ownership of the solution, so it does not fade away after we are gone.
To put it simply: Beevanta helps small and medium-sized enterprises turn artificial intelligence into business value. We are vendor-neutral, ROI-driven, and we always put people at the center. That is not a marketing slogan – it is the reason companies work with us because we make AI real, practical, and above all, human.
For more information, visit: https://www.beevanta.com/
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