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Sales in the AI Era — A Playbook

Pipeline, prospecting, and closing when AI does the legwork

Sales used to be calls per day. Now it's the quality of the system that runs your reps and their agents. 27 modules on prospecting frameworks, objection-handling scripts, pipeline truth, and forecasting when AI drafts the first email, the first proposal, and the first follow-up — and you're the editor, not the writer.

27 interactive modules87-page PDF7 PDF chaptersInstant PDF + PortalFree strategy call included$27
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How to read this playbook · The AI-Era Lens

Sales when AI does the prospecting

The foundation in this playbook (discovery, pipeline math, qualification frameworks, deal mechanics) is timeless. The AI era flipped what 'activity' means and which inputs predict outcomes. Hold these six shifts in your head as you work through every module — the funnel still has the same stages, but the work at each one looks different.

Shift 1

Activity stopped being a useful proxy

Calls per day, emails sent, demos booked — these used to predict pipeline. They no longer do. An agent can run more activity than any human, badly, all day. Read every metric module asking 'what signal is the agent failing to filter out?' rather than 'how do I do more.'

Shift 2

Discovery became hypothesis-testing

Reps used to discover by asking. Now agents pre-research and present a tentative shape; the rep validates or rejects. Read the discovery modules as 'how to design the hypothesis space the agent explores,' not 'what questions to ask cold.'

Shift 3

Prospecting moved from list-building to filtering

Lists are infinite now. The skill is choosing the 50 accounts out of 50,000 that are actually worth touching this week. Read the targeting and account-selection modules as scoring-and-filtering exercises, not list-building exercises.

Shift 4

Reps manage agents, not just deals

A senior rep in 2026 has 3–8 agents handling specific slices (research, follow-up, scheduling, multi-thread reminders, deal-room updates). Read the rep enablement and process modules as 'how to design the agent layer under the rep,' not 'how to train the rep to do all of it.'

Shift 5

Pipeline forecasting needs different math

Win-rate × deal-size × velocity is still right. What changed is that agent-led activity inflates top-of-funnel numbers without inflating quality. Read the pipeline and forecasting modules with a 'discount the agent activity by 50% until validated' filter on the inputs.

Shift 6

Quota design has to adapt

If a rep can carry 3x more deals because agents handle the manual work, quota and comp have to recalibrate. Read the comp and quota modules as forward-looking — the 2019 quota will under-target or over-target the new operator role.

How to read the foundation modules

Read every framework in this playbook through these six shifts. The funnel stages are the same. Qualification still matters. Pipeline math still works. What changed is that the human's hands aren't doing most of the activity anymore — they're designing what the agents do, judging exceptions, and showing up in the moments that need a person. When you do an exercise, fill it in assuming you're directing an agent layer, not executing solo.

What's Inside

27 interactive modules — first 3 are free to preview.

1Tailor a Sales Process to Your Targets
2Prospect & Lead Identification
3Objection Handling & Negotiation
4Customer Relationship Building
5Pipeline & Deal Management
6Forecasting & Reporting
7Ideal Customer Profile & Target Account Lists
8Multi-Channel Outreach Sequences
9Social Selling & LinkedIn Strategy
10Inbound Lead Response & Speed-to-Lead
11Referral & Partner Selling Programs
12Discovery Call Framework & Question Library
13Needs Analysis & Solution Mapping
14Competitive Positioning & Battlecards
15Proposal & Presentation Design
16ROI & Business Case Building
17Closing Techniques & Decision Acceleration
18Negotiation Strategy & Pricing Frameworks
19Contract & Legal Review Process
20Multi-Stakeholder & Committee Selling
21Handoff to Customer Success (Onboarding)
22Upsell, Cross-Sell & Expansion Revenue
23Account Management & QBR Framework
24Sales Enablement Content & Playbooks
25CRM Optimization & Sales Tech Stack
26Sales Hiring, Coaching & Ramp Plans
27Annual Sales Plan & Territory Strategy

Why this workbook?

01

Actionable exercises

Not theory — hands-on activities you complete for your business.

02

Scoring frameworks

Rate where you stand today and track improvement over time.

03

Battle-tested templates

Proven by hundreds of businesses across industries.

04

Walk away with a plan

By the last page, you have a concrete action plan ready to execute.

Who is this for?

Sales leaders who want a proven system, not guesswork
Founders and CEOs building their first growth engine
Teams that need a shared framework to align and execute
Consultants who need ready-to-use client deliverables
TS

Written by Tiago Santana

Growth operator. $100M+ in revenue generated across companies. Founder of Gardenpatch and The Cooling Co.

I've spent the last decade running salesfor companies at $1M–$100M ARR. When AI agents joined the team, almost everything I knew got rewritten. This playbook is what I'd hand a new salesleader on day one in the AI era — not what worked in 2019. Every module is something I'd actually use, today, in my own companies. Money-back if it doesn't help.

More about Tiago →

Founding members get a free copy

The honest version: these playbooks launched in May 2026. No reviews here yet — because the first ten people are still reading them.

First 10 reviewers · honest feedback wanted

Free copy of any playbook in exchange for an honest review.

Read it. Use it on a real problem you're working through. Tell us what landed, what didn't, and whether it was worth $27. Your review goes on this page (with your name + role, or anonymous — your call). You also get a free 30-minute strategy call with Tiago to apply it to your specific situation.

Who this is for: operators running a real team (any size, any industry) who would actually use a framework like this and tell the truth about it. Not for resellers, not for AI-generated reviews, not for five-star-as-default. Critical reviews are more useful than glowing ones.

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