Decode AI ROI: Measure What Matters

Grammarly for Business

Decode AI ROI: Measure What Matters

With AI excitement leveling off, proving its impact has become priority number one for business leaders. But most admit they simply don’t know how to measure AI value or what justifies scaling enterprise-wide implementations.

This webinar will offer a clear, data-driven framework for evaluating AI initiatives, helping leaders pinpoint the key metrics that drive real business outcomes. Grammarly’s Chief Information Security Officer, Suha Can, and VP of Product Management Enterprise and Trust, Luke Behnke, will share insights from their dual roles as both AI builders and buyers, explaining how they measure ROI to satisfy both internal business needs and customer expectations. Attendees will also get a behind-the-scenes look at how Grammarly assesses the ROI of its own AI initiatives and equips customers to quickly and confidently gauge the impact of their Grammarly deployments.

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Meet Our Speakers

Luke Behnke

VP of Enterprise Product Management
Grammarly

With 15 years of experience in SaaS and AI Product Management, Luke Behnke is currently the Head of Enterprise and Trust Product at Grammarly. Previously, Luke led the product management team at Ironclad, where he built industry-leading digital contracting products. At Zendesk, he was pivotal in scaling the company from $250M to over $1.3B ARR. His focus was on transitioning to a multi-product company, enhancing security, and leading acquisitions.

Suha Can

CISO & VP of Engineering
Grammarly

Suha Can is the Chief Information Security Officer at Grammarly, leading corporate engineering, security, privacy, compliance, and responsible AI for the company globally. Previously, Suha was Director of Security at Amazon, overseeing security engineering globally for Amazon Payments and Alexa. Suha also led global security research teams at Microsoft, responsible for responding to all 0-day exploits and building mitigations to kill vulnerability classes, increasing the cost of exploiting unknown vulnerabilities.