Course : Driving Sales Performance with AI and Microsoft Copilot

Practical course - 2d - 14h00 - Ref. IIB
Price : 1530 CHF E.T.

Driving Sales Performance with AI and Microsoft Copilot



New course

This training enables sales teams and managers to leverage AI and Microsoft Copilot to improve pipeline management, analyze sales data, and increase conversion rates. Participants learn how to structure operational, secure, and performance-driven AI use cases within a Microsoft 365 and CRM environment.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. IIB
  2d - 14h00
1530 CHF E.T.




This training enables sales teams and managers to leverage AI and Microsoft Copilot to improve pipeline management, analyze sales data, and increase conversion rates. Participants learn how to structure operational, secure, and performance-driven AI use cases within a Microsoft 365 and CRM environment.


Teaching objectives
At the end of the training, the participant will be able to:
Identify the key indicators and data needed to effectively manage the sales conversion rate.
Use Microsoft Copilot and AI to analyze, summarize, and prioritize business activities.
Design prompts tailored to pipeline management, opportunity qualification, and sales reviews.
Develop an AI-enhanced sales action plan within a secure and responsible framework.

Intended audience
Sales executives, sales managers, sales operations (RevOps) managers, CRM managers, marketing managers, business developers, account managers, customer success managers, sales performance consultants, and digital transformation or AI project managers.

Prerequisites
Be proficient in the common features of office and collaboration tools (email, word processing, document sharing).

Practical details
Teaching methods
A combination of lectures and hands-on exercises.

Course schedule

1
Understanding the Drivers of AI-Enhanced Sales Performance

  • Definition of sales performance metrics and the conversion rate.
  • Analysis of the stages of the sales cycle: qualification, opportunity, negotiation, and closing.
  • Identifying pain points and factors that influence conversion.
  • Difference between activity, quality, and sales performance metrics.
  • The Role of AI in Analyzing and Improving Business Processes.
Hands-on work
Mapping the commercial funnel and identifying the main barriers to transformation.

2
Leveraging Business Data to Improve Decision-Making

  • Identification of data from the CRM, meetings, sales interactions, and marketing.
  • Data quality analysis: completeness, consistency, timeliness, and reliability.
  • Utilizing structured and unstructured data in a business context.
  • Methods for preparing and analyzing data before using it with AI.
  • Analysis of conversion metrics, reasons for loss, and priority opportunities.
Hands-on work
Evaluation of a business dataset and creation of a data diagnostic checklist.

3
Use Microsoft Copilot to prepare for and analyze business activities

  • An overview of how to use Copilot in Teams, Outlook, Word, Excel, and PowerPoint.
  • Summary of sales meetings and identification of next steps.
  • Preparing for meetings and organizing chart of accounts.
  • Analysis of business documents and tracking spreadsheets in a Microsoft 365 environment.
  • Key considerations related to access rights, confidentiality, and human validation.
Hands-on work
Designing a use case for Copilot to prepare for an opportunity review.

4
Creating prompts focused on sales guidance and conversion

  • Structure of an Effective Prompt: Role, Context, Objective, Constraints, and Expected Format.
  • Creating prompts to analyze an opportunity and identify risks of loss.
  • Designing sales follow-up prompts and personalized proposals.
  • Using prompts to prepare for a pipeline review and sales coaching session.
  • Method for testing, comparing, and continuously improving prompts.
Hands-on work
Creation of a library of prompts designed to improve the conversion rate.

5
Analyzing the Sales Pipeline with AI

  • Review of the pipeline based on stages, amounts, probabilities, and closing dates.
  • Identifying high-risk opportunities and accounts with no recent activity.
  • Analysis of discrepancies between sales forecasts and actual results.
  • Development of an AI-powered sales scoring model.
  • Prioritizing sales activities based on the value and maturity of opportunities.
Hands-on work
Analysis of a simulated pipeline and development of a list of priority actions.

6
Facilitate a sales review enhanced by Copilot

  • Preparing data and summaries prior to a sales review.
  • Identification of strategic opportunities and obstacles.
  • Documentation of decisions and action plans resulting from business reviews.
  • Using AI for sales coaching and commitment tracking.
  • Designing a journal format focused on transformation and decision-making.
Hands-on work
Design of an AI-enhanced sales magazine layout and preparation of related materials.

7
Implement an action plan to improve the conversion rate

  • Identifying opportunities to improve sales performance.
  • Optimizing lead qualification, follow-ups, and appointment scheduling.
  • Tailoring sales proposals and handling objections.
  • Implementation of follow-up actions at 30, 60, and 90 days.
  • Using AI to prepare for the next business steps and negotiation scenarios.
Hands-on work
Development of a 90-day operational action plan to improve sales conversion.

8
Govern and Secure AI Applications in Business Management

  • Best Practices for Using Business Data with AI.
  • Management of sensitive data, access rights, and confidential information.
  • Managing the risks of bias, errors, and over-automation.
  • Human validation of the analyses and recommendations generated by AI.
  • Defining metrics for the adoption and continuous improvement of AI usage.
Hands-on work
Development of a code of best practices for the responsible use of AI and Copilot in business operations.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2027 : 25 Jan., 8 Apr., 3 June, 15 July, 15 Nov., 16 Dec.

GENÈVE
2027 : 25 Jan., 8 Apr., 15 July, 15 Nov.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.