AI Still Required Manual Setup
AI has already helped Abnormal’s GTM teams with meeting prep, coaching summaries, and account research. But each of those workflows started the same way: someone had to ask for it to be built.
That friction is what led Haren Bhatia, along with Irene, Tim, and the platform team, to help launch Nora Task Builder: a way to give GTM teams direct control over how AI works for them.
GTM teams need highly tailored insights. A sales leader wants different outputs than a sales engineer. An executive sponsor needs something very different from a frontline AE.
While Abnormal had already built powerful AI bots, each new variation required abstraction, prioritization, and engineering work. That slowed feedback loops and limited experimentation. Reps still had to manually go to tools, paste Gong links, and run prompts after meetings, adding steps instead of removing them.
Tasks That Run on Your Behalf
Nora Task Builder flips the interaction model. Instead of asking AI for help after the fact, users define tasks once and let AI run automatically.
Through Slack or a simple web interface, users can configure:
- what type of meetings or events should trigger the task,
- which calls or accounts it applies to, and
- what the AI should generate via a custom prompt.
Once set up, the task runs in the background and sends results directly to the user, no manual action required.
What It Looks Like for Sales Leaders
Jeremy Riesenfeld, Market Sales Leader, used the Task Builder to automate after-call follow-ups. Instead of pulling Gong links and running multiple prompts in Glean, Jeremy created a task that triggers on his external calls.
Within 30 minutes of a meeting ending, he receives an email that includes:
- a conversation summary,
- attendees and business context,
- customer pain points and goals,
- next steps, and
- a drafted follow-up email ready to send.
For Jeremy, the biggest win was removing an entire step from his workflow. The AI doesn’t just answer questions; it proactively delivers what he needs.
What It Looks Like for Executive Sponsors
Devin MacDonald, a mid-market RVP, took a different approach. As an executive sponsor joining 8–10 meetings per week, her priority is deal velocity and coaching impact.
Devin built a simple, three-sentence prompt that asks the AI to surface:
- deal red flags,
- her personal action items,
- immediate next steps, and
- coaching feedback for the AE.
The output arrives automatically in her inbox and has already been used in one-on-ones and deal strategy sessions, including contributing to a recent verbal win. The AI formats insights clearly, prioritizes risk, and highlights where her involvement can have the most impact.
AI That Acts, Not Just Answers
What makes Nora Task Builder powerful isn’t just flexibility, it’s automation. Instead of:
- remembering to go to Glean,
- finding the Gong call,
- writing a prompt, and
- interpreting the output,
AI runs in the background and delivers insights when they’re needed. Different users can build very different tasks with minimal setup, whether the prompt is three sentences or highly structured. The feedback loop is fast, personal, and role-specific.
Nora Task Builder is already changing how GTM teams interact with AI. Reps spend less time preparing and more time acting. Leaders get actionable insights without extra effort. AIPMs and engineers no longer have to build one-off workflows for every request.
Most importantly, AI becomes something GTM teams rely on daily, not something they have to remember to use.
What’s Next
As more teams adopt Task Builder, it will help surface new GTM workflows that haven’t yet been automated. Over time, these patterns can inform which use cases should become first-class products.
The long-term vision is simple: if a GTM workflow is repeatable, it should be automated, and Nora Task Builder puts that power directly in the hands of the people doing the work.
