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Apply Artificial Intelligence to Your Business

Motivation

Concepts like digitalisation, cloud, and artificial intelligence (AI) can mean a lot or nothing at all unless they are contextualised within your industry and company. This workshop aims to clarify how modern technologies, with AI playing a central role due to its wide range of potential applications, can be applied to your processes and value chains to enhance success and align outcomes with your strategy.

Through a concrete and contextualised approach, the workshop will guide you in understanding how technological solutions can generate real value for your business.

Did you know that ...

Artificial intelligence is seamlessly integrated into many everyday tools, including LinkedIn Sales Navigator, where it enhances efficiency and precision in lead generation and outreach.

  • AI analyzes your saved leads, searches, and connections to recommend new prospects or accounts that match your target audience.
  • AI-powered tools like Relationship Explorer uncover connections between you and potential prospects, such as mutual contacts, to facilitate introductions and build rapport.
  • AI provides real-time updates on account activity, such as changes in roles, hiring trends, or company priorities, enabling more effective and timely outreach.
  • AI optimizes the use of search filters to help identify the most relevant prospects by learning from past interactions and preferences.

Process

Defining the Need

The process may begin by identifying a company’s need, such as the potential to increase margins, volumes, or revenues due to a competitive advantage, juxtaposed with concerns about outdated management platforms. Alternatively, it could start with the recognition that AI is advancing rapidly and may offer a tailored solution ready to be integrated into the client’s business model, transforming it into a competitive edge.

In line with most consultancy practices, the initial meetings involve working closely with the client to translate their need into a foundation for collaboration. For instance, this could involve defining a question to address, such as: "What can AI do for my business to increase margins while maintaining other strategic metrics, like employee and customer satisfaction, unchanged?"

Aligning on Objectives

The consultant, in collaboration with the client, clarifies the workshop’s objectives and examines the company’s maturity level concerning the topic at hand. This personalised process may include:

  • Interviews with technical and operational managers.
  • Internal questionnaires to assess familiarity with AI.
  • On-site analysis of operational, administrative, and specific activities.

During this phase, we evaluate whether the collaboration is viable and outline the terms of an agreement.

Example: Initial approach, exploratory discussion, and needs identification

Preparing the Topic List

Based on the identified needs, the consultant develops a list of topics to discuss during the workshop to ensure the most important and promising points are addressed.

The consultant and the coordinator jointly decide which topics will be covered during the workshop and which will be handled asynchronously (questionnaires, online discussions) to optimise workshop time.

Example: Exploratory analysis

Enriching the Topic List

Once the list is defined, the consultant searches for case studies, industry literature, and technological solutions to enrich the workshop with practical examples.

Example: Analysis of processes or AI solutions available on the market

Defining the Workshop Agenda

The consultant proposes an agenda to the coordinator, who reviews it based on timing and internal needs. The consultant ensures that all agreed topics are covered adequately.

For each topic, the consultant typically:

  • Initiates a discussion on the current state, highlighting strengths and weaknesses.
  • Presents research findings and related case studies.
  • Leads a brainstorming session on how to apply the discussed concepts to the company, gathering an initial ranking of the options based on participants’ immediate perceptions.

Participants best suited for the workshop (e.g., technicians, warehouse managers, IT, customer management) are selected, and preliminary information may be requested via questionnaires to optimise the session. The focus is on maximising the value of participants' time during the workshop while handling asynchronous activities separately.

The consultant will share reference materials (slides, articles, case studies) in advance.

Example: Results analysis and workshop agenda preparation

During the Workshop

Tools such as whiteboards and post-its are used, and sessions are recorded to avoid allocating resources to note-taking in real-time.

The consultant ensures that the workshop addresses the initial request, moderating less relevant parts of the discussion and fostering those with the most value.

Post-Workshop: Prioritisation

After the discussion, the consultant analyses and aggregates raw results into a preliminary report, which includes an estimate of the effort required for each solution's implementation and the expected return on investment.

Questionnaire

The consultant then prepares a questionnaire, presenting the identified proposals along with details of the required effort and expected value, leaving space for comments and opinions. Participants are given a few days to complete the questionnaire, providing valuable feedback to prioritise the identified solutions.

Finally, the consultant integrates questionnaire results with preliminary analyses to prepare a final report. This report offers a comprehensive overview of priority solutions and their implications, including guidance on costs, benefits, and implementation strategies.

Example: Results

Closing the Collaboration

A satisfaction questionnaire will be provided to evaluate the workshop's effectiveness and improve future editions.