Webinar
On-demand
How to Build Autonomous GTM Agents that Revenue teams Actually Trust
June 2026
CRM
Data Hygiene
AI
Build a complete, AI-ready customer record with Nektar.
Most AI pilots never make it past the demo. Not because the technology failed, but because the data underneath it couldn’t be trusted.
Tim Seamans, VP of AI Transformation at Mimecast, has seen both sides. By fixing the GTM data foundation first, Mimecast generated $150M+ in pipeline and attributed $10M in revenue, results Tim credits to getting the right signals into the right systems at the right time.
In this session, Tim and Abhijeet Vijayvergiya, CEO of Nektar, break down what that journey actually looked like: the data gaps that blocked early AI efforts, how Mimecast built a unified customer context layer, and what changed when they did.
"We've seen over $150 million in pipeline generated over the last 12 months, with more than $10 million in revenue attributed to that work. None of this would have been possible without the right signals at the right time."
Tim Seamans
VP, AI & Business Transformation
What you’ll learn:
- Why enterprise AI projects fail without trusted GTM data
- Building a unified “Customer Brain” from emails, meetings, CRM, and customer interactions
- How Mimecast built AI-ready data foundations for revenue teams
- Turning unstructured customer activity into actionable GTM intelligence
- Lessons learned from deploying AI agents at enterprise scale
- How clean customer context led to millions in pipeline and revenue impact