RevOps Masterclass: AI Empowered Revops

Jun 6

In this webinar, Karan Singh, a true scale operator and a former fellow at Sapphire Ventures, joins Domestique to discuss everything that's happening in RevOps as it relates to AI - and, more importantly, what you can do to make sure you don’t get left behind.

In this RevOps Masterclass, we’ll be discussing:

1. Start Pragmatic, Iterate Often

Dive into AI with clear goals and test small, don't chase every shiny tool.
If an initiative like CRM auto-personalization flops, don’t double down just because you've invested. Reflect, iterate, and know when to pivot.
Bring your leadership team together to brainstorm completely fresh (“blue sky”) AI strategies, then identify the most promising use cases.

2. Automate Clerical Work to Unlock Seller Time

Free up sellers from manual tasks by using conversation intelligence (e.g., Gong) to auto-log MEDDIC fields, populate CRM data, and score calls.
Build in-call intelligence: identify competitors, suggest next steps, and streamline administrative overhead so sellers can focus on human connection.

3. AI-Driven Practice & Coaching

Move from “live-fire” learning to scalable AI-powered role-play tools like SalesHood, SecondNature, and Nooks, your sellers can get hundreds of practice scenarios before they talk to real clients.
Combined with LMS integration and call scoring, these tools fast-track readiness and confidence.

4. Next-Best-Action: Data + AI = Precision Outreach

Go beyond personalization at scale - use first-, second-, third-, and “fourth-party” data (e.g., web scraping, 10-K filings) to truly understand prospect needs.
Use tools like Pocus to synthesize internal usage, intent signals, and external context, delivering prioritized, AI‑powered plays to reps each morning.

5. Future of RevOps = Co-pilot Today, Autopilot Tomorrow

In-call AI augmentation is coming soon, this means live transcription + AI-driven suggestions and collateral streaming during meetings.
The ideal future team structure will combine:
- Revenue Strategists who envision the “why” and design GTM architecture with AI.
- Tech-savvy Operators who can implement across platforms and integrations.
Both roles are merging as AI becomes pervasive; current RevOps must be curious and builder-minded—know OpenAI, tools like Windsurf or Cursor, and beyond.

Bonus Insight: Forecasting with AI on the Horizon

Existing AI deal scoring is often too simplistic. Singh’s team plans to ingest transcript and behavioral signals via Snowflake to better predict pipeline and close dates.
For now, structured stage gating, MEDDIC rigor, and manager accountability remain the best forecasting tools—but AI-enhanced models are on the way.

What To Do Next:

Audit your CRM/RevOps tech stack to identify repetitive clerical tasks and trial conversation intelligence tools.
Pilot an AI-based coaching platform (SalesHood, SecondNature, etc.) with frontline reps and integrate learnings into your LMS.
Experiment with a next-best-action flow using intent platforms and data integrations—see what Pocus-like playbooks can do for your reps.
Up-skill your operators—encourage them to learn about AI APIs, build automations, and research AI-native tools.
Structure for the future—define roles for strategy vs. execution, and coach your team to think in tech-curious, AI-augmented ways.

Alex Biale