How to Use AI for Sales

Prospecting

Finding and researching the best-fit accounts

Outreach

Drafting personal, relevant messages

Meetings

Preparing briefs and capturing call notes

Deals

Proposals, objection handling, and follow-ups

Pipeline

CRM updates, forecasts, and coaching

People buy from people. AI frees salespeople to spend more time being human.

Research [company] using public sources: what they do, recent news, hiring, likely priorities for [role], and two reasons our product could help. Cite every source and flag anything uncertain.

Verify facts before they go into a message.

• Define your ideal customer profile in clear terms
• Use your CRM’s AI scoring, or have AI rank leads against your criteria
• Work accounts with real buying signals first

• Open with one real, specific detail
• Tie it to a problem you solve
• Keep it short, with one clear ask
• Edit every draft until it sounds like you

Draft a 70-word first email to [name], [role] at [company]. Open with this detail: [detail]. Tie it to [problem]. Close with a simple question. No hype and no flattery.

• A one-page brief on the company and its people
• Their likely goals, pains, and objections
• Five discovery questions to ask
• Customer stories that match their situation

• Record and transcribe calls only with the buyer’s consent
• Have AI produce a summary, next steps, and open questions
• Send the follow-up email the same day
• Update the CRM from the call summary

From these call notes, list the ten most common objections to [product], and draft a short, honest response to each that ends with a question to keep the conversation going.

• Build proposals from your template and call notes
• Shape the business case around the buyer’s goals
• Check every number, price, and commitment

• Auto-summarize emails and calls into CRM records
• Flag stalled deals and missing next steps
• Use AI to find patterns in won and lost deals

• Review call recordings for talk time and the questions asked
• Practice objection handling in AI role-plays
• Share the messages that win with your team

• Obey anti-spam laws and platform rules
• Respect data protection laws such as GDPR
• Never mass-send AI messages without a review
• Never use tools that collect data in breach of site terms

Monday

Prioritize accounts and plan your outreach

Daily

Research, personal messages, and follow-ups

Before each call

A one-page brief

Friday

Pipeline review and lessons learned that week