ESG reporting

How can AI help you write well-evidenced ESG reporting?

1960 € per session, excl. VAT

In short

Sustainability, environment, leadership and corporate communication teams learn to write ESG reporting with the chosen AI assistant: define scope, period and units, link each indicator to its documents, separate measured, estimated and missing data, then check every claim. Deliverables: an indicator dictionary, an evidence table and a report section with stated limits.

Why this training?

The problem
Teams struggle to produce ESG reports where each indicator and statement is rigorously supported by evidence.
What it costs today
Reports contain unverified information, unsubstantiated claims, or poorly qualified data, which undermines the credibility of ESG publications.
Why this skill
This skill is necessary for the reliability of non-financial data and the veracity of an organization's ESG declarations.
What you gain
Participants and the company gain more reliable ESG reports, robust verification processes, and greater autonomy in producing credible documents.

Objectives of this training

  • Precisely define the scope, period, and units of ESG reporting using the chosen AI assistant.
  • Link each ESG indicator to its supporting documents and note provenance information.
  • Distinguish the nature of each ESG data point, whether measured, estimated, or missing.
  • Draft an objective and fact-based ESG report commentary with an authorized AI assistant.
  • Verify the consistency between each statement in the report and the available evidence.
  • Identify and formulate the limitations of the data and methods used in the ESG report.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • ESG and Environmental Managers
  • Board Members involved in ESG
  • Corporate Communication Teams

Prior skills

  • AI Fundamentals and AI Prompting completed, or equivalent experience (a learning prerequisite, not a registration condition).
  • Basic practice with a spreadsheet program
  • Understanding of the applicable ESG reporting framework
  • 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

  • Basic practice with an AI assistant offering language processing capabilities.
  • Basic practice with a spreadsheet application.
  • Bring the organization's applicable ESG reporting framework, validated by a responsible party.

What you will work on

  1. Frame scope, period, and units

    The participant is able to draft a clear indicator dictionary defining the framework of ESG reporting.

  2. Connect indicators and evidence

    The participant gains the ability to build an evidence table linking each value to a documented source.

  3. Measurement, estimation, or missing

    The participant can qualify each data point in the report, document assumptions, and highlight missing information.

  4. Draft a sober commentary

    The participant is able to produce an objective report section with the chosen AI assistant, free from promotional language.

  5. Verify statements

    The participant masters the method of verifying report statements by comparing them with evidence to ensure accuracy.

What you take away

  • A personalized ESG indicator dictionary
  • A structured evidence table per indicator
  • A drafted ESG report section with explicit limitations

Method and assessment

  • Work on a fictional file of measurements and documents
  • Calculations checked in the spreadsheet, never in the conversation alone
  • Claim-by-claim review

The section is assessed on consistency of scope and units, the link between each indicator and a document, the measured/estimated/missing distinction, absence of unsupported claims and clarity of the stated limits.

Frequently asked questions

What concrete result does this course deliver?

The team has a method and tools to produce traceable ESG indicators and text that matches the evidence. Deliverables: indicator dictionary, evidence table by indicator, drafted report section with limits.

Who is this course for and what are the prerequisites?

It is designed for: sustainability and environment managers, leadership team members, corporate communication teams. Basic experience with the chosen AI assistant and a spreadsheet. The applicable reporting framework is supplied and validated by a manager in the organisation; the exercise measurement file is fictional.

What data and access need to be arranged?

The exercise file is fictional. Real data is only used if authorised and compatible with internal rules on using an AI assistant. Required tools and licences are checked before the session; no subscription is included in the price.

What practical exercise is completed?

The group works on a fictional measurement file. They define scope, period and units, link indicators to documents, separate measured, estimated and missing data, write a sober commentary and check every environmental claim.

What are the limits and who validates the results?

The workshop provides no certification, no standalone carbon footprint and no guarantee of regulatory compliance. Choosing the framework and final validation remain the responsibility of the organisation and, where relevant, its assurance providers.

Can the course be adapted to our line of work?

During scoping, the indicators in the fictional file are chosen to match the organisation's topics: energy, waste, mobility, purchasing, workforce or governance.

How is the session organised and what does it cost?

Full day, private in-person session for up to 12 participants. The fee is €1,960 excluding VAT per session. Date and location are agreed during scoping; each session runs in a single language: French, Dutch or English.

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