Course : Complex Sales and Key Accounts: Driving Your Strategy with AI

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

Complex Sales and Key Accounts: Driving Your Strategy with AI



New course

Complex sales and key accounts require a structured, collaborative, and business-value-oriented sales approach. This training course teaches participants how to use AI as a tool for analysis, preparation, and management to improve opportunity qualification, deepen understanding of decision-makers, prepare for strategic meetings, and develop effective sales action plans. Participants will develop practical methods for analyzing an account, mapping stakeholders, crafting tailored value propositions, and ensuring the responsible use of AI in a sensitive sales context.


INTER
IN-HOUSE
CUSTOM

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

Ref. AIU
  2d - 14h00
1530 CHF E.T.




Complex sales and key accounts require a structured, collaborative, and business-value-oriented sales approach. This training course teaches participants how to use AI as a tool for analysis, preparation, and management to improve opportunity qualification, deepen understanding of decision-makers, prepare for strategic meetings, and develop effective sales action plans. Participants will develop practical methods for analyzing an account, mapping stakeholders, crafting tailored value propositions, and ensuring the responsible use of AI in a sensitive sales context.


Teaching objectives
At the end of the training, the participant will be able to:
Develop a sales strategy tailored to complex sales and key account environments.
Use AI to analyze a strategic account and develop targeted sales initiatives.
Develop a value proposition and an action plan tailored to the various stakeholders within an account.
Ensure the safe use of AI in business processes and opportunity reviews.

Intended audience
Key account sales representatives, key account managers, sales directors, business developers, sales managers, business development consultants, sales enablement teams, sales operations managers, account-based marketing professionals, and professionals involved in complex B2B sales cycles.

Prerequisites
Master the basic functions of a web browser and a digital environment (navigation, searching for information, file management).

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

Course schedule

1
Understanding the Challenges of Complex Sales and the Role of AI

  • Identify the characteristics of long-term, multi-party, high-value sales.
  • Distinguish between transactional, consultative, and strategic sales in a key account context.
  • Analyze the obstacles and common risks associated with complex opportunities.
  • Position AI as a tool for analysis, structuring, and sales preparation.
Hands-on work
Analysis of a complex sales situation and identification of the key issues, risks, and stakeholders.

2
Analyzing a Strategic Account with AI

  • Collect and organize information from the CRM, reports, and public sources.
  • Distinguish between factual data, business assumptions, and points that need to be verified.
  • Identify business priorities, risks, initiatives, and actionable buying signals.
  • Create an enhanced account profile using prompts and AI-powered analytics tools.
Hands-on work
Creating a strategic account profile and formulating questions to prepare before a meeting.

3
Identify decision-makers and assess the opportunity

  • Identify decision-makers, sponsors, influencers, users, and potential opponents.
  • Analyze the power, influence, and level of engagement of stakeholders.
  • Evaluate an opportunity based on need, business impact, budget, and the decision-making process.
  • Use AI to develop hypothetical positions, objections, and relationship scenarios.
Hands-on work
Development of a contact map and an opportunity scoring grid.

4
Building a Differentiating Value Proposition

  • Identify the criteria for success and the specific expectations of the various stakeholders.
  • Turn features into measurable business benefits and impacts.
  • Tailor sales pitches to different roles—whether business, financial, or operational.
  • Anticipate objections and prepare appropriate responses with the help of AI.
Hands-on work
Designing a value proposition and simulating how to handle objections.

5
Preparing for Strategic Meetings with AI

  • Define the objectives and expected outcomes of a high-stakes meeting.
  • Develop a questioning framework focused on discovery and advanced assessment.
  • Adapt your message based on the hierarchical level and role of the people you are speaking with.
  • Use AI to prepare for discussions, summarize the context, and outline the next steps.
Hands-on work
Comprehensive preparation for a strategic meeting based on a key account case study.

6
Develop a chart of accounts and manage sales initiatives

  • Develop a chart of accounts for key accounts focused on growth and security.
  • Define business objectives and prioritize high-value actions.
  • Develop a strategy for engaging decision-makers and a plan for building relationships to influence them.
  • Use AI to challenge business assumptions and improve action plans.
Hands-on work
Development of a chart of accounts and a 90-day action plan.

7
Managing Reviews of Complex Opportunities

  • Identify the data needed for an effective opportunity review.
  • Identify weak signals, business risks, and potential roadblocks.
  • Structuring coaching questions to drive sales growth.
  • Formalize decisions, actions, and responsibilities with the help of AI.
Hands-on work
Creation of an AI-enhanced opportunity review framework.

8
Managing AI Use in Business Operations

  • Identify risks related to the confidentiality of business and customer data.
  • Define best practices for using AI assistants in a key account environment.
  • Establish rules for human validation of generated content and analyses.
  • Build a library of prompts and metrics for tracking AI usage.
Hands-on work
Development of an AI usage policy and a library of business prompts.



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

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 28 to 29 January 2027
FR
Remote class
Registration
From 3 to 4 May 2027
FR
Remote class
Registration
From 17 to 18 June 2027
FR
Remote class
Registration
From 23 to 24 August 2027
FR
Remote class
Registration
From 4 to 5 November 2027
FR
Remote class
Registration
From 2 to 3 December 2027
FR
Remote class
Registration

REMOTE CLASS
2027 : 28 Jan., 3 May, 17 June, 23 Aug., 4 Nov., 2 Dec.



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.