Traceable summary

How to produce a traceable brief from multiple sources?

1250 € per session, excl. VAT

In short

This course is for professionals wishing to practice a precise use of an authorised AI assistant offering the required features for summarizing information. Participants learn to identify, target, and combine relevant elements to produce a traceable and reliable brief from multiple sources, thereby improving the accuracy of their deliverables.

Why this training?

The problem
Teams struggle to extract precise and reliable summaries from various professional sources.
What it costs today
Deliverables contain imprecise or unverifiable information, requiring manual checks and corrections.
Why this skill
This skill is necessary now to quickly produce accurate and referenced summaries, fundamental for informed decisions.
What you gain
The participant and the company gain higher quality summaries, increased information reliability, and greater autonomy in document processing.

Objectives of this training

  • Identify the appropriate business application or connector for a summarization task.
  • Target relevant documents by folder, period, and specific keywords.
  • Correlate various information elements to form a coherent summary.
  • Maintain source traceability and flag missing information.
  • Compare the generated summary with the original document.
  • Define the validation process before any external use.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Project Managers needing progress summaries
  • Data Analysts extracting information from reports
  • Communication Officers producing information briefs
  • Quality Managers summarizing procedures
  • Documentation Specialists compiling sources

Prior skills

  • AI Fundamentals and AI Prompting completed, or equivalent experience (a learning prerequisite, not a registration condition).
  • Knowledge of professional document types to be summarized
  • Familiarity with information traceability objectives
  • Understanding of the need for reliability of processed data
  • Ability to identify relevant information sources
  • A paid subscription to an AI solution offering the features used, the organisation’s authorisation for third-party tools, and the actual accounts and access rights.

To prepare before the session

  • One personal computer per participant.
  • Access to designated tools and required accounts, verified before the session.
  • A specific business case to work on, using fictitious or anonymized data.

What you will work on

  1. Choose the tool

    The participant is able to identify the relevant application or connector for summarization.

  2. Retrieve information

    The participant knows how to target and verify documents consulted for the summary.

  3. Produce the summary

    The participant can correlate elements to create a traceable summary.

  4. Validate the summary

    The participant is capable of checking the summary's conformity with the original source.

What you take away

  • A traceable and reliable summary produced from an authorized professional source.
  • A personalized action plan for applying the learned techniques.

Method and assessment

  • Demonstrations with explanations using a concrete case
  • Guided exercises followed by application to your role
  • Peer review of results and source verification
  • An individual or team action plan

Assessment is formative: participants complete and review a practical case linked to the intended deliverable (A traceable brief built from an authorised business source). Criteria include meeting the brief, accuracy, checks performed and the ability to explain decisions. Each participant identifies an application to test in their own work.

Frequently asked questions

What concrete benefit will the team derive from this approach?

The team will see the quality and reliability of its summaries improve. Participants will gain autonomy in processing complex information, reducing time spent on manual verifications. This allows for better responsiveness and decisions based on more solid data.

Who should participate in this training and what prior knowledge is required?

This training is for professionals who need to synthesize information from professional sources. Participants should already be familiar with the types of documents they need to process and the objectives of information traceability in their business context. A familiarity with data reliability issues is also expected.

What types of data or documents will be used and how is confidentiality ensured?

The training uses fictional data or anonymized documents for exercises. Participants are encouraged to adapt their business case using non-sensitive information or excerpts. Information protection is a priority during all practical activities.

What exercise will be performed on the organization's specific case?

Participants will work on producing a traceable summary using an authorised AI assistant offering the required features on a business case they bring or a provided fictional case. This exercise will include identifying sources, correlating elements, and verifying traceability. The goal is to apply the taught techniques to a concrete situation.

What are the limitations of the application and how can the validity of the result be ensured?

The business application is effective for summarization but requires constant human supervision for verification. The validity of the result is ensured by rigorous comparison with original documents and validation by a competent person in the field. The training emphasizes this control process.

How can the taught approach be adapted to our organization's business and specific cases?

The principles and techniques are universal for producing summaries with an authorised AI assistant offering the required features. Participants are encouraged to use their own non-confidential business cases during the session. The development of a personalized action plan will allow for the concrete integration of the approach into the organization's existing processes.

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