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Day 14 of 20 Β· AI for Sales

Your Closing Machine

You've just completed the most important week of this course. Week 1 gave you the foundation β€” AI basics, prospecting, cold outreach, LinkedIn selling, email personalisation. But Week 2 is where the real selling happens. This is where deals are won.

Over the last seven days, you've built an AI-powered system that covers every stage of the engagement and closing process. Let's lock it in by connecting the pieces and seeing the full machine.

The engagement system β€” end to end

Here's what you built this week, step by step:

Day 8 β€” Discovery Call Mastery: AI-generated discovery questions tailored to the prospect's industry, company, and role. Pre-call briefs in 60 seconds. Post-call summaries that capture every detail.

Day 9 β€” Objection Handling Role Play: AI as your practice partner β€” a tough, skeptical buyer who pushes back and gives you real-time feedback. Weekly practice that builds the confidence to handle any objection live.

Day 10 β€” Proposals That Close: Discovery notes turned into polished, personalised proposals in 15 minutes instead of 3 hours. Tailored versions for different stakeholders β€” the ops buyer, the finance buyer, the technical buyer.

Day 11 β€” Follow-Up Sequences: Multi-touch sequences across email, phone, LinkedIn, and value-add content. Persistent without being pushy. Six touchpoints over 14 days that keep deals moving.

Day 12 β€” Competitive Battlecards: One-page tactical playbooks for every competitor. Strengths, weaknesses, positioning statements, trap-setting questions, and win/loss themes β€” built in minutes, updated monthly.

Day 13 β€” CRM Notes in 30 Seconds: Rough notes transformed into structured CRM entries with stakeholder maps, next steps, risk flags, and competitive intelligence. No more staring at blank CRM fields.

Each piece is powerful on its own. Together, they're a machine.

Knowledge Check
What's the key insight about how the six components of the engagement system work together?
A
Each component works independently and can be used in any order
B
The most important component is the proposal β€” everything else is optional
C
The system only works if you use all six components on every deal
D
Each component feeds the next β€” discovery notes power proposals, proposals drive follow-ups, competitive intel sharpens positioning, and CRM entries keep everything moving
The system is a pipeline, not a checklist. Your discovery notes become the foundation for your proposal. The objections you practiced handling show up in your follow-up sequences. Your competitive battlecard informs your positioning in the proposal. And your CRM entry captures all of it so nothing gets lost. One stage feeds the next.

A deal through the machine

Let's trace a real deal through the entire system to see how the pieces connect:

Monday morning: You have a discovery call with Lisa Park, VP of Operations at a logistics company. Before the call, you spend 3 minutes generating a pre-call brief and tailored discovery questions with AI.

Monday afternoon: After the call, you spend 2 minutes turning your rough notes into a structured CRM entry. The AI captures her pain points, the stakeholders involved, and the next steps.

Tuesday: Lisa mentioned they're also evaluating a competitor. You pull up your battlecard (built last week) and refresh it with a quick 2-minute AI check for recent updates.

Wednesday: You feed your discovery notes into AI and generate a personalised proposal in 15 minutes. You create a CFO-focused version for Lisa's boss who controls the budget.

Thursday: Lisa hasn't responded to the proposal. No panic β€” your AI-generated follow-up sequence kicks in. Touchpoint 2 goes out with a relevant industry report.

The following week: Touchpoints 3 through 5 keep the conversation alive across email and LinkedIn. Lisa finally replies and schedules a follow-up meeting.

Total AI time invested: About 30 minutes across 10 days. Total impact: a deal that stays alive, moves forward, and has the personalisation that makes Lisa feel like she's your only prospect.

Flow diagram showing the complete engagement system β€” from discovery through objection handling, proposals, follow-ups, battlecards, and CRM updates
Your AI-powered engagement system β€” six components working together to move deals from first conversation to closed-won.
Knowledge Check
In the deal example above, how much total AI time was invested across the 10-day engagement?
A
About 5 minutes β€” AI does everything automatically
B
About 3 hours β€” one hour for the proposal alone
C
About 30 minutes total β€” spread across pre-call prep, CRM updates, battlecard refresh, proposal generation, and follow-up sequences
D
About 2 hours β€” the discovery prep takes the longest
Thirty minutes of AI-assisted work across 10 days replaces what would have been 5-6 hours of manual effort β€” research, proposal writing, follow-up drafting, CRM updating, competitive research. That's a 10x efficiency gain, and the quality of every output is higher because AI brings structure and personalisation that rushed manual work can't match.

The numbers that matter

Let's quantify the impact of running your deals through this system:

Time saved per deal: 4-6 hours of manual work replaced by 30-45 minutes of AI-assisted work.

Proposal quality: Personalised proposals that reference specific discovery findings close at higher rates than generic templates.

Follow-up consistency: Going from 2 touchpoints to 6 means you're in the 15% of reps who actually persist long enough to win.

CRM accuracy: Structured entries mean better forecasting, smoother handoffs, and more effective coaching.

Competitive readiness: When a competitor comes up, you respond with confidence instead of scrambling.

If you manage 15 active deals per month and save 5 hours per deal, that's 75 hours per month freed up for more selling. That's almost two extra weeks of selling time every month. Let that sink in.

Your Week 2 challenge

Before you move to Week 3, run your next real deal through the full system. Not a practice exercise β€” a real prospect, a real call, a real proposal.

Here's your checklist:

Before the call: Generate a pre-call brief and tailored discovery questions. Review them before you dial in.

During the call: Use your questions as a guide. Take rough notes. Listen for pain points, decision process, timeline, and competitive mentions.

After the call: Turn your notes into a CRM entry in 30 seconds. Build or refresh the competitive battlecard if a competitor was mentioned.

Within 48 hours: Generate a personalised proposal from your discovery notes. Review it, verify the numbers, and send it.

Over the next 14 days: Let your AI-generated follow-up sequence do the work. Track responses and adjust.

One deal. Full system. You'll feel the difference immediately β€” and you'll never go back to the old way.

Knowledge Check
What's the most important thing to do with the engagement system this week?
A
Run a real deal through the full system β€” not a practice exercise, but an actual prospect with real stakes β€” to experience the difference firsthand
B
Build battlecards for every competitor before taking any calls
C
Memorise all six components and their order
D
Perfect each component individually before combining them
Systems only become habits when you use them on real work. Running one deal through the full pipeline β€” from AI-generated discovery questions through the proposal and follow-up sequence β€” shows you exactly how the pieces connect and where you'll make adjustments for your style. Theory becomes practice, and practice becomes habit.

What's coming in Week 3

Next week shifts from individual deal execution to scaling your entire operation. You'll learn:

Pipeline reviews and forecasting β€” Use AI to analyse your pipeline, identify at-risk deals, and forecast with confidence.

Account strategy and expansion β€” Turn one deal into a long-term account relationship with AI-driven account plans.

ROI calculators and business cases β€” Build interactive ROI models that help prospects justify the investment internally.

Territory planning β€” Use AI to prioritise accounts, allocate time, and maximise coverage.

Sales career development β€” Leverage AI to build your personal brand, prepare for interviews, and accelerate your career.

Week 1 was about getting started. Week 2 was about closing deals. Week 3 is about building a career. Let's go.

Knowledge Check
How does Week 3's focus on scaling differ from Week 2's focus on deal execution?
A
Week 3 is only relevant for sales managers, not individual reps
B
Week 3 focuses on learning new AI tools rather than sales skills
C
Week 2 focused on winning individual deals β€” Week 3 focuses on managing your entire pipeline, territory, and career at scale
D
Week 3 covers the same topics as Week 2 but in more depth
Week 2 gave you a system for moving a single deal from discovery to close. Week 3 zooms out β€” how do you manage 30 deals at once? How do you prioritise accounts across a territory? How do you use AI to build your career, not just hit this quarter's number? It's the difference between being good at selling and being great at sales.
πŸ’°
Day 14 Complete
"You didn't just learn seven techniques this week. You built a machine β€” and the reps who build machines outperform the reps who rely on talent alone."
Tomorrow β€” Day 15
Pipeline Reviews & Forecasting
Next week is about scaling β€” pipeline management, account strategy, ROI calculators, and building your career in sales.
πŸ”₯1
1 day streak!