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AI is in every sales stack now. What does it actually change about discovery, demos and the deals we run?

Two things changed and they pull in opposite directions. On the buyer's side, most of the evaluation now happens before you are in the conversation: they have asked an AI to compare you, read your docs, and arrived with a shortlist and an opinion. That kills generic discovery, because asking what keeps you up at night to someone who has already read your pricing page is insulting. Bring a point of view instead and spend the call testing it. On your side, AI genuinely absorbs the grunt work: research, note taking, follow ups, first pass qualification, and some teams have collapsed whole SDR functions into a handful of agents. What it does not do is carry a room, read a political map, or hold a price. Those are still the job, and they are the parts worth getting better at.

Go deeper

4 resources, 1 India-specific, 4 link-checked.

📄 Article
✓ Link checked Free Intermediate

The written version if you would rather skim than listen, and it draws the line most clearly: cadence based SDR work is going away fast, while the AE job holds for now because judgment and the room are still human. Also useful on what an AI-run motion actually requires to work.

Jason + Lenny are Back: The Real Future of AI in Sales

From SaaStr by Jason Lemkin 12 min read

  • SaaStr went from 8 to 9 human sellers to 1.2 humans plus 20 AI agents at similar business performance.
  • Claims cadence based SDRs doing email and inbound qualification are 90 percent displaced within 12 months.
  • AI agents closed unattended deals, including a 100k dollar one, outside working hours.
  • Budget 50 to 60 hours to configure an agent properly, it is not plug and play.
Open saastr.com
📊 Report
✓ Link checked Free Intermediate

Pulls the survey data into six concrete workflows (account research, outreach, content, conversation intelligence, CRM execution, forecasting) so you can pick where to start. The uncomfortable stat is the one to sit with: most AI deployments miss their expected commercial impact.

How are B2B sales teams using AI in 2026?

From Mutiny by Matt Ratchford 20 min read

  • 89 percent of revenue organizations use AI in some form in 2026, up from 34 percent in 2023.
  • Only 24 percent have deployed agentic AI, and just 21 percent report full enterprise wide generative AI rollout.
  • Autonomous SDRs convert meetings to opportunities at about 15 percent versus 25 percent for humans, but touch 1000+ contacts a day against 50 to 80.
  • Teams using AI tools are reported 3.7x more likely to hit quota.
Open mutinyhq.com
📄 Article
✓ Link checked India Free Intermediate

Built from a masterclass with Mohit Garg, former CRO at MindTickle, and written for cross-border companies selling from India, including how to structure SDR and AE teams for cost efficiency. Covers qualification, MEDDIC scoring, pipeline reviews and loss reviews in one place.

SaaS Playbook: Sales

From SeedToScale by Accel by Rachit Parekh long read

  • Expect 15 to 20 follow-ups: some of Mohit's biggest customers came on the 14th or 18th touch.
  • Score deals MEDDIC-style and only grant reference calls above a score of 9, treating references as scarce.
  • Set quotas only after the process is repeatable, since even great reps miss without one.
  • Many Indian SaaS companies run SDRs in India with AEs in the US for the cost advantage.
Open seedtoscale.com

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