Back to blogHow to assess the value of AI? VSA in practice
Each AI-related project is a journey into a bit of the unknown. A learning experience, one would say, for both the company investing in AI agents, but also, in a way, for the supplier, like Vstorm. It is so simple to the magnitude of unknowns in the process — which ranges from technical feasibility to real value delivered with automation.
That is why at Vstorm, we developed and worked according to our own proprietary method, called VSA — Vstorm Solution Assessment. It spans the entire purchase process — from the moment we first get in touch with our potential customers to the moment we wrap up implementation projects, delivering either a single AI agent or an entire agentic framework.
Why invent any novel method?
From Agile to Scrum — There are decades of experience in how IT solutions should be deployed and how value delivered by them should be measured. What we have found is that the reason to get creative with a method comes down to managing the unknowns with AI. In this hotbed of a field, the solutions and technology evolve as fast as customer expectations. During customer conversations, It is uncommon to meet with questions such as
- Is the AI agent I need technically feasible?
- Would running it be economically viable?
- How may it help me to differentiate from the competition?
- What could be the long-term systemic impact on my team?
Thanks to the VSA method, we’re able to manage expectations in time of positioning the proposal and, shortly later, continue to do that while putting together a custom solution.
AI Solution Assessment
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Familiarize yourself with your Vstorm’s unique approach that secures business results from custom AI agent deployment
The way we manage customer expectations at Vstorm has everything to do with blending low-level expertise (down to the math on CUDA kernels level) with high-level business advisory and entrepreneurial expertise. Blending both is crucial to connect business needs with what it takes in tech to turn them real, with a caveat that in the emerging Agentic AI field, what business asks for often requires additional effort to clarify and ground in the reality of LLM’s Generative AI. Without it, what business asks for often has little to do with what technology can reliably deliver.
How to assess the value of a custom Agentic AI solution
Our Vstom Solution Assessment method (VSA) focuses on three key areas:
- Technology — which is, surprisingly, the easiest part to assess the feasibility of AI agents
- Economy — all the measures and KPI’s to assess cost vs savings,
- Differentiation — the factors that can’t be quantified yet positively impact business
What the VSA method gives us is a focus on each of the three areas, without losing one from sight when evolving the other. It also curves expectations when some answers come later in the process — such as those related to differentiation. Instead of taking things that are unknown from thin air, using VSA, we point to the moment in time when any meaningful assessment will be possible — and with it, we manage customers’ expectations.
Contact the author
Bart, PhD economist and our co-founder, is ready to leverage his hands-on experience of:
- Entrepreneurial, and C-level roles
- Exited and supported startups
- Executive Consulting background
to discuss your project on a 20-minute introductory call.
Dr. Bart Gonczarek
Vice President
There’s a lot that could be said about the method, one could write not a post but a book about it! That is why, before engaging in any custom AI project, feel free to download our 1-pager on VSA method or contact the author to discuss how the approach could work for you in the context of your needs!
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