Integrating Conversational Artificial Intelligence into the Sales Cycle

The training prepares for the certification held by ONLINE SALES SUCCESS registered from October 1, 2024, until October 1, 2026, under number RS6792 in the Specific Register of Certifications and Accreditations.

Admission and Enrollment Procedures

For all our training courses, please register by mail, email, or phone. Your registration request will be processed within two business days. All training orders must be confirmed in writing and assume that the client accepts the course content and prerequisites, which they commit to having reviewed.

Training Location

The training will take place in-person at 16 rue du Caire, 75002 Paris.

Accessibility for Persons with Disabilities

This training is accessible to persons with disabilities. Our dedicated contact person is available to assist you in evaluating and clarifying your training project and anticipating any necessary accommodations to welcome you.

Contact: contact@french-techfactory.com
Phone: 07 57 84 44 97

Access Deadline

Registration is possible up to 7 days before the session starts.

Prerequisites

Entry prerequisites, if applicable:
Candidates must possess sales skills
A test and an interview are conducted to verify these skills
Certification validation prerequisites, if applicable:
Must have a sales activity as part of their profession (primary or secondary activity)

Target Audience

The certification is aimed at in-house or freelance sales professionals working independently or within a company, and executives for whom sales is not their primary activity, who wish to leverage artificial intelligence to gain time and efficiency in their advisory approach to prospects within the sales cycle.

Targeted Skills

Identify professional situations or sales activities where AI adds value to achieve time and efficiency gains in the sales process.
Formulate a query for AI software to obtain a relevant and actionable response by adapting to the platform and the objective of the query.
Online Sale Success Competency and Evaluation Framework
Improve the quality of responses by analyzing AI responses and correcting queries to achieve time and efficiency gains in the sales process.
Ensure compliance with data protection and ethical standards by verifying the conformity of proposed measures with European and international regulatory frameworks, thereby ensuring compliant implementation of the transformation project.

Pedagogical Methods Utilized

The training is interactive and based on an active learning approach, drawing on participants' experience and skills. It combines theory, practical simulations, collaborative workshops, and group discussions to facilitate the mastery of tools and methods.

Active and participatory pedagogy: Participants are encouraged to actively participate in the training through practical exercises, case studies, role-playing, and sales simulations.
Simulations: Sales scenarios are provided for participants to experience the role of a sales professional in different situations, using conversational artificial intelligence tools. These simulations will be analyzed in groups with constructive feedback.
Collaborative learning: Exchanges between participants are encouraged to facilitate the sharing of experiences and sales tools.
Practical workshops: Participants design prospecting or sales sequences, lead small sales sessions, and receive constructive feedback from their peers and the trainer.
Diverse materials: Use of digital resources, concrete examples, interactive tools, and conversational artificial intelligence to enhance learning.

Assessment Modalities

Assessment Method 1

Case study and presentation before the jury. The case study is drawn from 10 possibilities renewed monthly: The case study focuses on an innovative company in the retail sector that wishes to optimize its sales processes by integrating artificial intelligence (AI) into its activities.

Elements required from the candidate:

Identify professional situations or sales activities where Artificial Intelligence (AI) adds value.
Formulate a query for AI software to obtain a relevant and actionable response by adapting to the platform and the objective of the query.
Assessment Method 2

Case study and presentation before the jury
The case study is drawn from 10 possibilities renewed monthly:
The case study focuses on imperfect queries to Artificial Intelligence
Weighting: 2

Assessment Method 3: Multiple-choice questionnaire (MCQ)

Minimum correct answer rate (70%)
Weighting: 1

Detailed Program

Day 1: Understanding AI and its Business Implications
Module 1: AI Fundamentals and Regulatory Framework
Duration: 8:00 AM – 12:00 PM (4h)
Objectives:
Understand the basics of AI and its commercial applications.
Identify usage opportunities in different professional contexts.
Understand the legal framework, both European and international, and integrate an ethical approach.
Contents:
Definition and evolution of artificial intelligence.
Role of data and importance of its quality.
Application in customer relations, communication, and meeting management.
French and European regulations (GDPR, AI Act).
International regulations and best compliance practices.
Module 2: Formulating and Optimizing Prompts
Duration: 1:00 PM – 4:00 PM (3h)
Objectives:
Write a clear prompt adapted to the context.
Improve the quality of responses provided by AI.
Create relevant sales arguments using prompts.
Contents:
Definition and role of a prompt.
Correction formulation techniques.
Practical demonstrations of AI tools.
Case study: Analysis and optimization of an imperfect prompt.
Day 2: AI in the Sales Cycle and Business Management
Module 3: The Role of AI in the Sales Cycle
Duration: 9:00 AM – 12:30 PM (3h30)
Objectives:
Identify the stages of the sales cycle where AI adds value.
Automate certain tasks without dehumanizing the relationship.
Measure AI effectiveness using appropriate KPIs.
Contents:
The phases of the sales cycle: prospecting, follow-up, and customer retention.
AI tools to optimize each stage.
Reasoned automation and maintaining human relationships.
Case study: Integrating AI into business performance.
Module 4: Optimizing Business Management Tasks with AI
Duration: 1:30 PM – 5:00 PM (3h30)
Objectives:
Identify and automate repetitive tasks.
Improve daily business organization with AI tools.
Boost productivity and efficiency to better manage commercial actions.
Contents:
Organization with Notion AI, Reclaim.ai, and Motion.
Email management with SaneBox, writing with Jasper AI.
Transcription and summarization with Otter.ai and Fireflies.ai.
Practical workshops on real-world cases.
Day 3: AI-Assisted Sales Prospecting and Presentations
Module 5: AI-Assisted Prospecting and Business Development
Duration: 9:00 AM – 12:00 PM - Lunch break - 1:00 PM – 5:00 PM
Objectives:
Leverage AI to find and qualify prospects.
Create and automate multichannel campaigns.
Generate and test sales call scripts.
Contents:
Automated prospecting and intelligent targeting.
Personalization of sales campaigns.
Script generation and call simulations.
Analysis and adjustments via Cockpit.
Day 4: Content Creation and Impactful Presentations
Module 6: Creating Impactful Sales Presentations with AI
Duration: 9:00 AM – 12:00 PM - Lunch break - 1:00 PM – 5:00 PM
Objectives:
Design professional sales materials with AI.
Structure and enrich presentations with appropriate tools.
Develop public speaking skills with AI support.
Contents:
Presentation creation with Gamma and Decktopus.
Automatic structuring and enrichment of slides.
Multimedia integration: texts, visuals, videos.
Final workshop: delivering an AI presentation to the group.
Day 5: Certification Preparation and Case Study
Module 7: AI Skills Mastery and Validation
Duration: 9:00 AM – 12:00 PM - Lunch break - 1:00 PM – 5:00 PM
Objectives:
Validate skill mastery through complex case studies for certification.
Improve the quality of AI responses through iterative analysis and correction of prompting (prompt).
Ensure regulatory compliance (data protection and ethics) in AI integration projects.
Contents:
AI Value Chain Analysis.
Advanced Prompt Engineering Workshop.
Evaluation Simulation (Jury Components).
Governance and Ethics of Commercial AI.
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In-person training
Duration:35 hours (5 days)
Price:€2,760 inc. VAT
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In-person training
Duration:35 hours (5 days)
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