Designed for Sales Workflows
Apply AI to prospect research, account preparation, personalized outreach, customer meetings, follow-up communication, and proposal development.
CORPORATE TRAINING SALES WORKFLOW
Help Your Sales Team Work Smarter with AI.
Equip your sales team with practical AI skills to improve prospect research, personalize outreach, prepare for meetings, strengthen follow-ups, and support proposal development while keeping customer relationships and sales judgment in human hands.
Better Preparation. Smarter Workflows. Stronger Customer Relationships.
PROGRAM OVERVIEW
Practical AI for Real Sales Workflows.
This program helps sales professionals apply AI to prospect research, personalized outreach, customer meeting preparation, follow-up communication, and proposal development. Participants learn to structure sales context, verify information, and identify opportunities for controlled workflow automation.
Customer Trust Comes First
Distinguish verified facts from assumptions, check AI-generated claims, protect customer information, and keep sales professionals responsible for customer-facing decisions.
Repeatable Sales Workflows
Build reusable prompt patterns, structured account briefs, follow-up drafts, and practical automation workflows with clear review checkpoints before customer-facing action.
LEARNING OUTCOMES
What Your Sales Team Will Learn to Do.
By the end of the program, participants should be able to use AI to prepare prospect research, support customer conversations, structure follow-up and proposal work, and design low-risk workflows with human review before customer-facing action.
Structure Reliable Sales Context
Identify suitable AI use cases and organize account, contact, customer needs, sales stage, constraints, and next actions before generating sales materials.
Prepare Relevant Prospect Outreach
Turn verified prospect information into concise account briefs, value hypotheses, and personalized outreach drafts with appropriate claim verification.
Support Customer Conversations
Prepare meeting briefs and turn meeting information into structured decisions, customer needs, follow-up actions, and proposal outlines.
Build Controlled Sales Workflows
Design low-risk sales automation that supports preparation work while retaining salesperson review before customer-facing communication or action.
PROGRAM CURRICULUM
Learn AI Through Practical Sales Workflows.
Explore four live workshop sessions, from building reliable sales context and researching prospects to supporting customer opportunities and designing practical workflow automation.
Learning objective
Recognize appropriate AI opportunities in sales and establish reliable customer and prospect context before generating sales output.
Learning Focus: Sales Context & Responsible AI
Main Learning Outcome: Identify appropriate AI opportunities in sales and structure reliable customer/prospect context before generating output.
Delivery Method: Live Workshop — Demo + Sales Workflow Mapping Lab
Duration: 2 Hours
Subtopics:
- AI capabilities and limitations in sales work
- Mapping sales tasks: research, preparation, communication, follow-up, proposal, and reporting
- Building sales context: account, contact, need, objective, stage, constraints, and next action
- Fact vs assumption in prospect and account information
- Confidentiality, accuracy, customer trust, and human review
Learning objective
Use verified prospect information to prepare relevant account briefs, value hypotheses, and personalized outreach.
Learning Focus: Prospect Research & Personalized Outreach
Main Learning Outcome: Use AI to turn verified prospect information into a concise account brief, value hypothesis, and relevant outreach draft.
Delivery Method: Live Workshop — Prospecting Case Lab
Duration: 2 Hours
Subtopics:
- Research objective and source planning before asking AI
- Collecting and structuring company, role, and industry context
- Account brief: facts, signals, assumptions, and missing information
- Value hypothesis and pain-point framing
- Personalized outreach and claim verification
Learning objective
Prepare customer conversations and organize meeting information into clear follow-up actions and proposal structures.
Learning Focus: Meeting, Follow-up & Proposal Support
Main Learning Outcome: Use AI to prepare for customer conversations and convert meeting information into clear follow-up, next actions, and proposal structure.
Delivery Method: Live Workshop — Opportunity Case Lab
Duration: 2 Hours
Subtopics:
- Meeting objective, account context, and question preparation
- Meeting brief: account situation, objective, questions, and risks
- Meeting notes → decisions, needs, objections, actions, owners, and deadlines
- Customer follow-up and next-step communication
- Proposal outline and opportunity summary for internal alignment
Learning objective
Design a low-risk sales workflow that uses no-code automation while retaining salesperson review before customer-facing action.
Learning Focus: No-Code Automation & Human-in-the-Loop
Main Learning Outcome: Design and build a low-risk sales workflow that automates preparation work while retaining salesperson review before customer-facing action.
Delivery Method: Live Workshop — No-Code Automation Lab
Duration: 2 Hours
Subtopics:
- Manual vs AI-assisted vs automated sales work; selecting a low-risk use case
- Trigger → Input → AI → Human Review → Customer-facing Action
- Connecting Google Sheets / Forms, Make, and an AI model
- Prototype: lead/account data → account brief + outreach/follow-up draft → Sheet
- Quality control, missing-data handling, confidentiality, and workflow improvement
LEARNING APPROACH
A Practical Approach to AI-Assisted Sales
Participants progress from understanding how AI fits into sales work to practicing realistic scenarios and reviewing AI-generated outputs before applying them in their workflows.
01
Understand
Understand where AI can support prospect research, customer communication, opportunity management, and sales preparation, while recognizing its limitations and the importance of reliable context.
02
Practice
Work through practical sales scenarios by preparing account briefs, drafting personalized outreach, structuring meeting follow-ups, and designing no-code automation workflows.
03
Verify & Apply
Check factual accuracy, customer context, confidentiality, and relevance before using AI-generated work. Retain salesperson review before customer-facing communication or action.
Every session combines instructor-led guidance, hands-on sales practice, and human review so participants can evaluate where AI fits into their day-to-day work.
PROGRAM INFORMATION
A Practical Program Built Around Your Sales Team.
This corporate training program combines guided instruction, hands-on sales scenarios, and workflow automation practice. Its structure helps participants explore practical AI applications relevant to their sales responsibilities.
Program Structure
- 4 structured learning sessions
- 2 hours per session, 8 hours in total
- Practical sales workflow exercises
Learning Format
- Instructor-led live workshops
- Demonstrations and hands-on sales case labs
- No-code automation practice with Make
Who Should Join
- Sales representatives and account executives
- Business development and prospecting teams
- Account managers and sales operations teams
Practical Project
- Map a practical, low-risk sales workflow
- Prototype account briefs and outreach drafts with Make
- Define quality checks and human-review checkpoints
FREQUENTLY ASKED QUESTIONS
A Few Things Worth Knowing.
Learn how this program helps sales teams apply AI to prospecting, customer communication, and workflow automation while maintaining accuracy, customer trust, and human oversight.
Have Specific Sales Training Needs?
Let's discuss your team's sales process, business priorities, and practical AI opportunities.
Talk to Our TeamDo participants need technical or coding experience?
No coding background is required. The program focuses on practical applications of generative AI in sales activities, including prospect research, personalized outreach, meeting preparation, follow-ups, and proposal support.
Which sales activities can AI help improve?
AI can help organize prospect information, prepare account briefs, develop value hypotheses, draft personalized outreach, prepare meeting questions, summarize notes, structure follow-ups, and create proposal outlines. Sales professionals remain responsible for validating the output and deciding how to use it.
Does the program include hands-on practice?
Yes. Participants work through practical sales scenarios, create structured account briefs and outreach drafts, organize customer meeting outcomes, and explore a no-code automation workflow using Make.
Will AI automatically contact prospects or customers?
The program emphasizes controlled, human-reviewed workflows. AI can assist with preparing messages and organizing sales information, while customer-facing communication should follow the team's approval process, business rules, and quality standards.
How does the training address customer data and confidentiality?
Participants learn to verify AI-generated information, distinguish facts from assumptions, minimize unnecessary exposure of customer data, and follow their organization's approved AI tools and data-handling policies.
Can the program be customized for our sales team?
Yes. Training scenarios and learning priorities can be aligned with your sales process, target customers, recurring activities, and business objectives. The final scope can be discussed before the program is delivered.
How long does the training take?
The current program structure consists of four live workshop sessions, each lasting two hours, for a total of eight learning hours. Delivery arrangements can be discussed based on your team's schedule and training requirements.
AI FOR SALES
Ready to Help Your Sales Team Work Smarter with AI?
Equip your team to research prospects more effectively, prepare for customer conversations, improve follow-ups, and build smarter sales workflows while keeping people in control.