🤖 real AI tactics

Improve your sales game with ChatGPT and AI agents

Daily Sales Newsletter

October 02, 2025

 

Welcome - this is your daily dose of sharp, tactical sales advice.

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In today’s issue:

  • Haris Halkic: 6 steps to make AI second nature

  • Connor Murray, Eric Finch: Save 10+ hours using AI workflows

  • Ryan Staley: Unlock GPT-5’s hidden revenue engine

  • Nina Butler: Automate outreach to maximize conversions

⚙️AI Processes

More hours won’t close more deals - better productivity will.

AI helps you minimize busywork, automate prospecting, and personalize outreach so you can focus better on closing deals instead.

AI saves you 5+ hours a week

  • Automate research — No more manual prospecting.

  • Personalize outreach — Better emails in seconds.

  • Effortless follow-ups — Never miss an opportunity.

  • Instant call prep — Walk into every meeting ready.

My AI Sales Mastery Program

Learn how to:

✔ Find & qualify leads in minutes

✔ Write emails that get responses

✔ Book additional meetings, faster

6 steps to make AI second nature

Haris Halkic discusses transforming AI into your advantage using a six-step framework.

Multiply the impact of great selling habits with organized AI workflows:

1. Identify your current state

Look for the biggest drains on your time:

🎤 Rewriting the same intro emails again and again

🎤 Manually entering CRM notes after every call

🎤 Always forgetting to act on small buying signals

Example: If you spend an hour a day copying meeting notes into Salesforce, AI can transform your manual work into 5 minutes using one transcript summary.

2. Define your future vision

Decide what success actually looks like.

🎤 Do you want AI to handle call summaries from start to finish?

🎤 Should it draft a first-pass outreach email you only tweak?

🎤 Using your personal terms, how are you measuring success?

Example: “In 30 days, I want AI to save at least 3 hours weekly by handling call recaps.

3. Select 3 primary use cases

Focus on where AI makes the most difference:

🎤 Drafting cold outreach emails personalized to accounts

🎤 Summarizing discovery calls with clear, direct next steps

🎤 Building account briefs highlighting org charts, tech stack

Example: Instead of writing generic emails to a VP of Finance, have AI examine their LinkedIn profile, recent press, and main challenges to build a relevant opener.

4. Build 30-day action plans

Treat AI like a sales play, not a side experiment.

🎤 Choose one prompt to test in live deals

🎤 Assign a team member to track usage

🎤 Establish review dates on your calendar

Example: SDRs test AI-generated outreach emails for a month, then compare response rates to manual versions of email campaigns.

5. Make a “to-don’t” checklist

AI fails when it’s misused. Avoid obvious traps:

 Blind copy-paste → Prospects are going to notice generic texts

 Context-free prompts → “Write me an email” produces garbage

 Unchecked outputs → Email mistakes kill your sales credibility

Example: If AI suggests “Dear [First Name],” and you don’t proofread customer details, you’ll end up addressing your prospects wrong, burning trust in just seconds.

6. Build your prompt library

Your best prompts should become a consistent system.

🎤 Save the ones getting replies or accurate summaries

🎤 Refine your prompts monthly based on results patterns

🎤 Tag prompts by use case: outreach, research, strategy

Example: Have ChatGPT save your prompts like this:

Summarize this transcript into a 4-bullet follow-up, with 1 action item for me and 1 decision needed from the client.

Save 10+ hours using AI workflows

Connor Murray and Eric Finch reveal AI workflows to save hours and boost productivity.

If you’re not using it, you’re wasting hours on manual tasks that can be automated.

Where AI delivers instant value

✔ Territory map

🔑 Use ChatGPT “projects” to store company 10Ks and record transcripts for accounts.

Example: Upload a Fortune 500 company’s 10K and earnings call transcript, then ask AI to draft an email referencing their 2024 cost-cutting initiative.

The AI keeps context and produces targeted messages, call scripts, and prep docs.

✔ Discovery prep

🔑 Upload transcripts, prompts, or custom templates for potential buyers.

Example: Before meeting a VP of Engineering, ask AI to generate 5 discovery questions about product roadmap challenges based on the company’s recent press release.

AI creates your sales frameworks, value statements, and question funnels.

✔ Post-call work

🔑 Instead of spending hours transcribing notes, upload transcripts instead.

Example: After a discovery call, AI writes a follow-up email highlighting pain points, logs MEDDIC fields into Salesforce, and drafts a Slack summary for the AE.

AI creates notes, calendar invites, handoff emails, and CRM summaries.

✔ Deep research

🔑 Use 25–30% of the prompt output to quickly focus on your top insights.

Example: Ask AI to create a research prompt on “Morgan Stanley’s last 3 years of cloud investments” and feed it into ChatGPT for a detailed trend analysis.

With AI tools, sales reps can generate detailed reports in just a few minutes.

Custom bots to practice you skills

🔑 Cold call bots let you roleplay scenarios without needing anyone.

Example: Simulate a cold call with a “tough CFO persona” who rejects meetings unless ROI is proven in 2 minutes.

🔑 Discovery bots simulate tough conversations and provide feedback.

Example: Practice a discovery call with a “VP of Sales persona” and get debriefed on whether you uncovered budget, authority, and timeline.

Bots improve with more transcripts and context you feed them.

Knowing exactly where to start

  • Begin with low-hanging fruit: follow-up emails, meeting notes, and call summaries.

  • Move into deeper use cases: territory planning, and discovery prep when ready.

  • Always keep control: AI helps you with 90–95%, but the last 5–10% push is yours.

Free resource

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Unlock GPT-5’s hidden revenue engine

Ryan Staley breaks down how executives unlock GPT-5’s potential with three features.

Transform GPT-5 from an upgraded chatbot into your decision-making engine.

Feature #1: Rival intelligence framework

Instead of a single lens, GPT-5 gives you five perspectives in one go:

Customer

Shareholder

Employee

Competitor

Regulator

💬 Example: Feed GPT-5 a leaked strategy memo and receive multiple breakdowns of how each group will react, plus recommendations in under one minute.

Feature #2: Your data as competitive moat

With connectors to Google Drive, GPT-5 mines your documents for insights:

Spot hidden patterns in customer frustrations and uncertainty

Turn 90 days of CRM notes into personalized outreach scripts

Surface objections that keep coming back across your deals

💬 Example: Connect HubSpot and ask:

What themes do CFOs usually mention when they decline demos?

Feature #3: Agentic AI workflow strategies

 Old prompting = back-and-forth Q&A.

👉 GPT-5 introduces “single-pass” prompting where strategy, research, and execution happen within one command:

💬 Example: “Act like a CRO. Audit my revenue funnel end-to-end, find potential gaps, and then recommend 5 strategies with implementation steps.

TO-GO

Nina Butler: Automate outreach to maximize conversions

Phillip Andersen: How AI agents change your sales game

Henry Hayes: AI integration upgrades your selling methods

Eric Finch, Connor Murray: Discover your AI sales process

QUOTE OF THE DAY

"AI-driven insights don’t just save time - AI compounds your selling power."

Paul Caffrey

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