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Live WEBINAR

The Hidden $130M Tax: Stopping the Search Time Drain in Microsoft 365

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January 15, 2026

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San Francisco | 8:00 a.m. – 9:00 a.m. PST 
New York | 11:00 a.m. – 12:00 p.m. EST 
Vienna | 5:00 p.m. – 6:00 p.m. CET

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Most organizations are losing millions without realizing it. 68% of professionals waste 1-5+ hours every week battling poor M365 search, duplicate documents, and chasing colleagues for links. In a 5,000-employee company, that hidden inefficiency can reach $130M per year.

A bit more math: 5 wasted hours/week at $100/hour = $26K per employee annually, a massive drain on your operating budget.

Join us for a focused session on how to stop this profit leak and maximize your Microsoft 365 investment.

Todd Blaschka, Senior Executive and Ben White, Product Manager, will break down:

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Why M365 search fails: inconsistent or missing metadata that makes it impossible to quickly identify the right, current version of a file

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The strategic fix-Semantic AI: automatically applies accurate, governed labels and connects documents using standardized vocabulary

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How to reclaim capacity: ensure teams instantly find what they need and redirect time toward high-value work like process optimization

Invest 45 minutes learning how to turn SharePoint into a governed, reliable knowledge system, and immediately reclaim millions in lost productivity.

Speakers

  • Senior Executive at Graphwise

    Todd is a Senior Executive at Graphwise, bringing a deep experience in data management, content technologies, and enterprise software. Throughout his career, he has held key executive roles scaling high-growth companies in AI, databases, and knowledge management, with a consistent focus on helping organizations transform data into actionable insights.

  • Product Manager at Graphwise

    Ben is a Product Manager at Graphwise with deep expertise in enterprise content platforms, semantic integration, and Microsoft 365 ecosystems. He leads the strategy and roadmap for Graphwise’s Microsoft 365 Connector and broader connector platform, working at the intersection of product, engineering, and customers. Ben focuses on turning complex enterprise content into connected, searchable, and AI-ready knowledge.

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