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Kata Nyitrai
Co-founder at VirtualBrain - The AI Partner for Consultants
Kata Nyitrai is a seasoned Entrepreneur & Sales Leader currently focused on VirtualBrain, an AI Partner for Consultants.
With a background in global and regional leadership roles at various start-ups & scale-ups, Kata is a lifelong salesperson dedicated to building high-performing teams and enhancing sales methodologies.
Her vast experience spans team building, restructuring, and creating Sales Academies to support salespeople across different company structures.
Having worked in roles from Sales Manager to Director of Strategic Sales, Kata has honed her skills in every stage of the sales cycle, from SMB to Strategic Sales, demonstrating her expertise and passion for the field.
Kata Nyitrai holds a Bachelor of Business Administration (B.B.A.) in International Management and Business from Avans University of Applied Sciences and Budapest Business University.
She has held key positions in organizations like VirtualBrain, autone, League of Sales, Otter, Meero, Aircall, among others, showcasing her diverse and extensive professional background.
Driven by the belief that sales is not just a job but a mindset, Kata finds fulfillment in helping individuals navigate the challenges of sales and supporting them in their journey towards success.
Highlights
🦾 Do you leverage AI in drafting commercial proposals?
Drafting commercial proposals is the #1 application for consulting firms seeking to use GenAI tools, as it directly affects their bottom line.
💡 As a matter of fact, we are increasingly hearing from prospects that their clients are noticing a surprising rise in the quality of commercial proposals since the beginning of the year.
VirtualBrain can reduce the time spent on drafting commercial proposals by up to 75%, efficiently handling the key components:
- Extract key insights from RFP or a project brief
- Analyse the context of the company based on reports, briefs, and past projects
- Find similar past projects to generate references
- Find internal experts based on highly specific skills
- Generate CVs for staffing purposes
- Find similar past projects to reuse deliverables (benchmarks, methods, insights)
We are still at the beginning of a productivity revolution, and the next months & years will clarify how deeply it might change the nature of consulting -
What we clearly observe is that the productivity gains achieved by companies successfully deploying GenAI are unlikely to translate into extra holidays or better work-life balance.
Instead, these gains will lead to higher-quality deliverables, increased production speed, and greater commercial capacity. This collective advancement will elevate industry standards, making it difficult to keep up with traditional methods.
Hit me up for a live VirtualBrain demo or to talk about your use cases. I'd love to hear from you!
Microsoft Copilot 365 can be an easy choice when considering equipping your team with AI to better manage knowledge.
But does it always fit your use case? What are its limitations?
In a professional environment, when you connect all your repositories, which can easily mean more than 100,000 documents - things can get really messy.
💡Greater knowledge requires more context in your questions to get precise answers.
🧠 Our approach at VirtualBrain is that you can organize your knowledge in "brains".
VirtualBrain thinks like a consultant, so even the simplest “prompt” yields a detailed answer highlighting the most important insights found in the documents, providing exact quotes.
🔎 Check out the comparison between VirtualBrain's and Copilot's answers, it's pretty straightforward.
🦾 Leave a comment if you'd like to test VirtualBrain yourself. I'll reach out.
