AI Agents for GTM: Highlights from Our Practical AI Webinar

Last week, Glyphic hosted a live session with leaders from Default and Storylane to unpack one of the biggest questions heading into 2026:

How do AI agents actually help GTM teams drive revenue — not just automate tasks?

We brought together:

• Ryan DeForest, Head of RevOps at Default
• Ajay Jayagopal, former Head of Business at Storylane and co-founder of dataflo.ai
• Devang Agrawal, co-founder & CTO at Glyphic

They shared how their teams are already using agents across inbound, demos, and pipeline to move faster and win more. If you missed the session or want to rewatch any part of it, we’ve got you covered.

👇 Watch the full recording now

Why we’re talking about agents now

GTM teams are under pressure to do more with leaner teams:

• More pipeline
• Shorter sales cycles
• A buying experience that feels fast, personal, and consistent

Agents are moving from “cool experiment” to the way work actually gets done.

As Devang put it during the session:

“The real value isn’t in building one-off agents anymore — it’s using agents to orchestrate your entire GTM stack so you can scale with agents, not headcount.”

That’s the core shift we focused on throughout the conversation.

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Three big takeaways for GTM leaders

1. Inbound has to move in seconds, not hours

Ryan walked through how Default uses AI to:

• Enrich and score leads inside the workflow
• Route instantly to the right owner
• Trigger calendars and follow-ups in a single flow

The pattern: speed + context + clean routing in one motion. Teams that still treat “respond within a day” as good enough are going to lose.

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2. Demos need to follow decision journeys, not feature lists

Ajay focused on the middle of the funnel — where a lot of strong products quietly lose. His main points:

• Generic, one-size-fits-all demos kill momentum
• Buyers want experiences tailored to their role and internal objections
• The “demo” has to work before and after the live call: in research, in internal share-outs, in stakeholder alignment

Agent-powered personalization plus interactive demos turn “this looks cool” into “this solves my problem” much faster.

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3. The future is agent orchestration across your entire GTM stack

Devang shared how Glyphic customers are using AI Revenue Agents as an orchestration layer, not just a point solution:

• Outbound that learns from wins
  • Agents listen to what’s actually working in closed-won deals
  • Find lookalike accounts and personas
  • Launch targeted outreach automatically (with human-in-the-loop where needed)
• Pipeline and forecast that don’t go dark
  • Agents monitor late-stage deals for risk signals
  • Surface changes before forecast calls
  • Keep leaders close to reality without more meetings and manual reporting

This is where the operating model starts to shift: reps review and steer what agents have done — instead of manually doing every task themselves.

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What This Means for GTM Leaders

GTM teams are entering a new operating model:

• AEs become managers of agents, approving or refining the work agents do overnight.
• BDRs use agents to run precision outbound instead of broad sequences.
• RevOps shifts from building workflows to orchestrating scalable automation.
• Leadership gets cleaner, earlier visibility into forecast health.

The teams who start with one or two high-impact agent workflows now — inbound, outbound, forecasting — will be miles ahead by mid-2026.
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We host Practical AI sessions regularly, bringing together GTM, RevOps, and AI leaders to share what’s actually working in the field.

Follow Glyphic on LinkedIn to stay up to date on upcoming webinars, community events, and fresh GTM insights.

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