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Selling no longer depends only on the salesperson’s skill

AI for Sales Advanced

Turn your sales team from traditional selling into a smart system driven by data, automation and AI

8 Accredited Hours 4 Days Advanced
Officially accreditedProfessional attendance certificate accredited by NAHJ
Program overview

About the program

An Advanced workshop — not an introduction to AI, but an operational program covering the entire sales journey: from smart prospecting, to personalized conversations, to handling objections and closing, all the way to automating the department and building a sales agent that works on the team’s behalf. The workshop targets the numbers that matter: conversion rate, speed of contact, lead quality, number of prospects, closing rate, productivity and sales forecast accuracy. It ends with a final project that moves your team from a manual sales process to an AI-driven sales system.

  • 100% hands-on — direct application across the whole sales journey
  • Ready-made tools and templates — an objection library, scripts and an automation map
  • An integrated final project — an AI-powered sales engine for your team
  • 18 practical outcomes covering 8 stages of the sales journey

Core Program Objective

  • 01Define the ideal customer and build a strong pipeline through smart prospecting and lead scoring
  • 02Run personalized sales conversations for every customer across multiple channels
  • 03Handle objections, negotiate and close deals with AI support
Your trainer & trainee stories

Meet your trainer

Learn from real, hands-on experience and hear about the experiences and results of past trainees.

Trainer
Dr. Mohamed Shoura

Dr. Mohamed Shoura

Management Development Expert

A trainer and consultant in AI applications and business development, he has helped many teams and companies use AI tools to raise productivity and make more effective decisions.

  • Hands-on experience and real applications
  • Projects you can apply at work
  • Ongoing support and mentoring
1,250+Trainees
4.9 / 5Average rating
96%Recommend the program
Hands-onBuild your portfolio
Program goals

What will you be able to do after the program?

Build a professional ICP with AI
Generate and qualify higher-quality leads
Use AI in prospecting
Create a lead scoring model
Build personalized sales scripts
Use AI in discovery calls
Handle customer objections
Train the team with AI role-play
Improve negotiation and closing skills
Write personalized sales proposals
Create follow-up sequences
Analyze the sales funnel
Forecast sales
Spot at-risk deals
Automate the team’s daily tasks
Connect AI to the CRM
Build AI sales agents
Create an integrated AI-powered sales system from the first lead to closing
The development journey

Before and after the course

Before the Program

  • A pipeline built on gut feeling
  • Generic messages to every customer
  • An objection means rejection
  • Repetitive manual tasks that waste selling time
  • Manual Sales Process
Learning Journey

After the Program

  • Every lead scored on numeric criteria before the first message
  • A personalized value proposition based on the customer’s company and real pain
  • An objection is information, with a ready response for each one
  • An automated sales department, from lead capture to CRM updates
  • AI-Driven Sales System
Target audience

Who is this program for?

Sales Managers & Sales Directors

Leaders of sales teams.

Why it fits you

Turn your team into a smart sales system and forecast revenue more accurately.

Sales Representatives

Those in daily contact with customers.

Why it fits you

Get personalized scripts and ready objection responses, and save time on repetitive tasks.

Business Development & Account Managers

Those responsible for key accounts.

Why it fits you

Find opportunities, analyze target companies and build tailored proposals.

B2B & Enterprise Sales Teams

Teams selling to companies and institutions.

Why it fits you

Apply account-based prospecting, lead enrichment and executive proposals.

Real Estate Sales Teams

Teams handling a large volume of leads.

Why it fits you

Classify leads as hot, warm or cold and automate follow-up via WhatsApp and email.

Entrepreneurs, Business Owners & CEOs

Decision-makers responsible for revenue growth.

Why it fits you

Build an AI-powered sales engine that works from the first lead to closing.

Learning path

The course journey

01
DAY 1

Session 1: Smart Prospecting

Sales strategy & ICP • Prospecting & enrichment

Details
02
DAY 2

Session 2: Sales Conversations & Personalization

Pre-call research • Discovery & value proposition

Details
03
DAY 3

Session 3: Objections, Negotiation & Closing

Objection analysis & library • The seven classic objections

Details
04
DAY 4

Session 4: Automation, Analytics & Agents

Sales automation • Sales analytics

Details
Details

Training content in detail

01

Sales Strategy & ICP

6 topics

Session 1 — precisely defining the ideal customer and building an AI-supported sales strategy.

Topics covered

  • The role of AI in improving sales operations
  • Building an AI-supported sales strategy
  • Defining the ideal customer profile (ICP)
  • Building a buyer persona
  • Identifying the sectors most likely to buy
  • Using AI in market research

Practical skills

ICP buildingMarket research
Expected deliverable:

Session 1 — finding prospects with AI and analyzing target companies before reaching out.

Topics covered

  • Finding prospects
  • B2B lead generation
  • Account-based targeting
  • Analyzing target companies before outreach
  • Lead enrichment
  • Analyzing prospect data
  • Creating prospecting lists

Practical skills

Lead generationChatGPT · Claude · Apollo.io · Clay · LinkedIn · CRM
Expected deliverable:

Session 1 — scoring every lead on numeric criteria before the first message: a pipeline that starts strong instead of relying on gut feeling.

Topics covered

  • Lead qualification
  • Classifying leads as hot, warm or cold
  • Detecting buying signals
  • Prioritizing
  • Building an outreach strategy per segment

Practical skills

Lead scoringPrioritization
Expected deliverable: Build an AI Lead Generation System: define ICP → find prospects → enrich data → score leads → prioritize → prepare outreach.

Session 2 — quick research on every customer and company before contact, with a tailored opening and script.

Topics covered

  • Using AI before a sales call
  • Analyzing the customer and company before contact
  • Preparing pre-call research
  • Writing a personalized opening
  • Creating sales scripts by customer type
  • Building discovery questions

Practical skills

Pre-call researchDiscovery questions
Expected deliverable:

Session 2 — no generic messages: a value proposition based on the customer’s company and real pain, generated by AI in minutes.

Topics covered

  • Discovering customer needs with AI
  • Pain point analysis
  • Buying motivation analysis
  • Building a value proposition per customer
  • Hyper-personalization

Practical skills

Value propositionsHyper-personalization
Expected deliverable:

Session 2 — personalized messages via email, LinkedIn and WhatsApp, and multi-touch follow-up sequences.

Topics covered

  • Writing personalized sales emails
  • LinkedIn outreach
  • Sales messages on WhatsApp
  • Follow-up messages
  • Creating multi-touch sales sequences

Practical skills

Sales copywritingFollow-up sequences
Expected deliverable:

Session 2 — simulating sales calls with AI and analyzing the rep’s performance.

Topics covered

  • Using AI for sales role-play
  • Simulating sales calls
  • Different customer scenarios
  • Analyzing sales rep performance
  • Developing persuasion skills

Practical skills

Role-playPersuasion
Expected deliverable: Build an AI Sales Conversation Assistant: Research → Opening → Discovery → Pitch → Follow-up, generating a different script automatically for each customer.

Session 3 — an objection isn’t a rejection, it’s information: building a complete objection library for your company.

Topics covered

  • Analyzing why customers say no
  • Classifying customer objections
  • Creating an objection handling library
  • Customer behavior analysis
  • Voice of customer analysis
  • Choosing the best response strategy
  • Competitive positioning
  • Building tailored responses with AI

Practical skills

Objection handlingCompetitive positioning
Expected deliverable:

Session 3 — hands-on practice with the most common objections, with a ready response for each objection and customer type.

Topics covered

  • The price is too high
  • I need time to think
  • I have another supplier
  • I don’t have the authority
  • It’s not the right time
  • Negotiations aren’t my call
  • We need management approval

Practical skills

Responding to objections
Expected deliverable: An objection library for your company, with a ready scenario and response for each objection and customer type — ready to share with the team immediately.

Session 3 — from objection to signature: a clear negotiation strategy.

Topics covered

  • Using AI in negotiation scenarios
  • Negotiation simulation
  • Building a give/get strategy
  • Analyzing a deal’s strengths and weaknesses
  • Choosing the best offer for the customer

Practical skills

NegotiationGive / get
Expected deliverable:

Session 3 — a tailored proposal and an analysis of each deal’s closing probability before you lose it.

Topics covered

  • Proposal personalization
  • Improving closing techniques
  • Creating sales proposals with AI
  • Writing an executive proposal
  • Next best action
  • Deal probability analysis
  • Spotting deals at risk of being lost
  • Creating win-back strategies

Practical skills

Executive proposalsDeal probability
Expected deliverable: Build an AI Deal Coach: it analyzes a deal from five angles (customer, objection, deal, competitor, sales stage) and outputs the best response, negotiation strategy, next action and closing approach.

Session 4 — every task the team repeats daily is lost selling time: an automated sales department from lead capture to CRM updates.

Topics covered

  • Identifying repetitive tasks in the department
  • Designing a sales workflow
  • Automating lead capture
  • Automating enrichment
  • Automating lead scoring
  • Automating lead distribution to the team
  • Automating outreach
  • Automating follow-up
  • Automating CRM updates
  • Automating meeting reminders
  • Automating sales reports
  • Automating lost-deal follow-up
  • Automating reactivation of past customers

Practical skills

Workflow designCRM · Gmail · WhatsApp · Notion · n8n · Make
Expected deliverable: A complete automation map for your sales department: what to automate, with which tool, in what order — ready to implement.

Session 4 — what isn’t measured isn’t managed: breaking down the funnel number by number and finding the leaks.

Topics covered

  • Sales team performance analysis
  • Sales funnel analysis
  • Lead-to-opportunity conversion
  • Opportunity-to-deal conversion
  • Win rate
  • Closing rate
  • Average deal size
  • Sales cycle length
  • Lead response time
  • Pipeline value
  • Target achievement
  • Reasons for lost deals
  • Per-rep performance analysis
  • Finding leaks in the funnel

Practical skills

Funnel analysisSales KPIs
Expected deliverable:

Session 4 — a revenue forecast based on each deal’s closing probability.

Topics covered

  • Sales and revenue forecasting
  • Pipeline analysis
  • Closing probability per deal
  • Identifying at-risk deals
  • Forecasting by rep
  • Forecasting by channel
  • Forecasting by product
  • Forecasting by market

Practical skills

Revenue forecastingAt-risk deals
Expected deliverable:

Session 4 — agents that work on the team’s behalf at every stage of the sales journey.

Topics covered

  • AI assistant vs automation vs AI agent
  • AI prospecting agent
  • AI lead qualification agent
  • AI outreach agent
  • AI follow-up agent
  • AI sales coach
  • AI CRM agent
  • AI deal analysis agent
  • AI sales reporting agent

Practical skills

Agent designMulti-agent workflows
Expected deliverable: A smart sales agent: find the customer → enrich data → score → personalized message → log in CRM → follow-up → analyze reply → next best action.
Tools and technologies

The tools we will use during the program

ChatGPT & Claude

Prospect research and writing scripts, messages and proposals.

Apollo.io

B2B lead generation and contact data.

Clay

Lead enrichment.

LinkedIn

Finding decision-makers and personalized outreach.

CRM

Managing the pipeline and logging every customer interaction.

Gmail & WhatsApp

Multi-channel outreach and follow-up.

Google Sheets & Notion

Prospect lists, scoring models and reports.

n8n & Make

Automating sales operations and building agent workflows.

Hands-on practice

Projects and practical work during the program

01
PROJECT

AI Lead Generation System

Session 1 build: a system for generating and scoring leads.

Work scenario

The team wastes time on unqualified leads and needs a stronger pipeline.

What you will build

Define ICP → find prospects → enrich data → score leads → prioritize → prepare outreach.

Final deliverable

A scored prospecting list and a lead scoring model.

Skills used

ICP buildingLead enrichmentLead scoring

Tools

ChatGPTClaudeApollo.ioClayGoogle Sheets
02
PROJECT

AI Sales Conversation Assistant

Session 2 build: an assistant that prepares a tailored conversation for each customer.

Work scenario

A call with a new customer in an hour, and no time for manual research.

What you will build

Research → Opening → Discovery → Pitch → Follow-up, with a different script automatically for each customer.

Final deliverable

A personalized sales script and follow-up messages.

Skills used

Pre-call researchValue propositionsFollow-up sequences

Tools

ChatGPTClaudeLinkedInGmailWhatsApp
03
PROJECT

AI Deal Coach

Session 3 build: a deal coach that analyzes each deal and suggests how to close it.

Work scenario

A stalled deal where the customer said “the price is too high” and “we need management approval”.

What you will build

Analyzing the deal from five angles: customer, objection, deal, competitor and sales stage.

Final deliverable

Best response + negotiation strategy + next action + closing approach.

Skills used

Objection handlingNegotiationDeal probability

Tools

ChatGPTClaudeCRM
04
PROJECT

AI-Powered Sales Engine

Final project: an integrated sales engine from the first lead to closing.

Work scenario

The company wants to move from a manual sales process to an AI-driven sales system.

What you will build

Lead Gen + ICP + Lead Scoring + Outreach + Conversations + Follow-up + CRM + Analytics + Automation + AI Agents.

Final deliverable

An integrated sales system with a smart sales agent.

Skills used

Sales automationSales analyticsAgent design

Tools

CRMApollo.ioClayn8nMakeChatGPTClaude

Selling is no longer an individual skill… it is a smart system

Four advanced hands-on sessions that move your team from a manual sales process to an AI-driven sales system. Register now — seats are limited.

Enroll in the Program