Technical presale for AI projects: How to avoid common mistakes and increase the win rate

Learn how to reduce project startup risks, improve team collaboration, and confidently sell AI solutions that can actually be delivered - on time, within budget, and without client conflicts.

    August, 26th
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    6:30 pm (Kyiv GMT +3)
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    Language: UA
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Oleksandr Ruppelt

Data Science Director

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Speaker

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Arthur Fedorenko

Founder & CEO

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Host

About the Talk

This webinar focuses on the risk zone between sales and tech, where money is most often lost. We'll break down the key mistakes IT companies make during the presale phase of AI/ML or complex custom solutions, when the client is already interested, but the technical justification is still raw or presented incorrectly.
You'll gain a structured understanding of how to organize effective collaboration between technical and commercial teams to:● avoid taking on projects that are impossible or too expensive to implement● not lose client trust through poorly structured communication● avoid wasting resources on rework after contract signing
THE TALK WILL COVER:
● Types of projects that often create risks at the start● Who should be involved during the presale phase● How to create realistic technical solutions● How to properly present solutions to clients● How to ensure what's sold will actually be delivered● How to provide strong technical support to the sales team● 

About the Speaker

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Oleksandr Ruppelt

AI Practice Leader, Data Science Director

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AI Leader with over 15 years of experience in the AI field (6+ years of Team Management). As Technical Lead and Project Manager, spearheaded over 60 machine learning projects, from initial concept or R&D breakthroughs to full-scale implementation of solutions used by Fortune 500 companies.
Leads cross-functional teams of SWEs, MLEs, and researchers. Was acknowledged for exceptional people management and ability to increase team output and morale significantly. Active Data Science Faculty Lead at prjctr.com, responsible for the Data Science educational program.

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Technical presale for AI projects

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