How can AEs use AI to prepare for sales calls?

AEs use AI for three call-prep jobs: account research (pulling context on the prospect's company, industry, and buying committee), call-specific content generation (a personalized deal room, business case, or competitive comparison ready for the call), and post-call work (recap documents and follow-up content generated from the transcript).

Also asked:

What AI tools should every BDR and AE have?

What is the best AI tool for creating sales presentations and pitch decks?

Call prep is where AI delivers some of the highest leverage in a B2B sales motion. The work is information-heavy, time-consuming when done manually, and directly correlated with deal outcomes when done well.

What does AI-powered call prep actually look like?


Stage

What AI handles

What the AE handles

Pre-call research

Account intelligence, industry context, buying committee mapping

Strategy and discovery questions

Pre-call content

Generating a deal room, business case, or competitive comparison ready to share on or after the call

Reviewing and editing for accuracy

Live call

Conversation intelligence, real-time coaching

Running the conversation

Post-call

Recap documents, follow-up emails, deal room updates from the transcript

Sending and adapting follow-ups for the buying committee

How does Mutiny fit into call prep?

Mutiny handles the content production side: generating a personalized deal room, business case, or competitive comparison ahead of the call, then producing recap documents and follow-up content from the call transcript afterward. This is the work that previously required marketing tickets, designer queues, or manual writing.

"Turning call transcripts into something slick and deal-ready is a huge unlock for our reps."

Hillary Carpio, VP of Marketing, Snowflake

What does an AE's call-prep workflow look like in practice?

A typical sequence in 2026:

  1. Research the account using account intelligence tools and CRM data.

  2. Generate a personalized deal room or business case with Mutiny, ready to share during or after the call.

  3. Review prior call recordings with Gong or a similar conversation intelligence tool to identify open threads and likely objections.

  4. Run the call with a clear discovery plan and the personalized assets ready.

  5. Generate a recap and follow-up with Mutiny from the transcript within minutes of the call ending.

"I was blown away by the new Mutiny agent. I can create personalized content for my deals in minutes without waiting on anyone."

Celeste Cote, Account Executive, Vanta

Why does this matter for deal outcomes?

Champions need polished assets they can forward internally. Buying committees expect content tailored to their specific situation. AEs who show up to calls with personalized, account-specific content close at higher rates than those who arrive with generic decks. The bottleneck used to be production capacity. AI removes the bottleneck.

See how AEs use Mutiny.