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Description

AI and CSR: Identifying Use Cases, Equipping Reporting and Managing Risks

Applying artificial intelligence to sustainability data without losing control of published sources

  • 0.43 days — 3 h
  • In-person or virtual
  • Intermediate
  • Up to 6 participants

Collecting non-financial data involves dozens of contributors and a wide range of inconsistent files. Artificial intelligence is presented as the answer, yet the tools deployed often produce figures whose origin nobody can reconstruct. Data that cannot be traced will not survive verification, and the footprint of the tools themselves is rarely weighed in the balance.

Three hours to identify the use cases that genuinely serve a CSR approach: data collection and structuring, document analysis and reporting preparation. The session also addresses the limits: traceability of sources, bias in outputs, resource consumption and the sharing of responsibilities.

Learning objectives

  • Identify the artificial intelligence use cases applicable to a CSR approach
  • Assess the contribution of a tool to non-financial data collection
  • Organise the traceability of data produced with tool support
  • Detect bias and limitations in the outputs obtained
  • Factor the environmental footprint of the tools into the decision

What makes this programme different

Every use case presented is tested against data traceability requirements
The footprint of the tools is weighed against the expected benefit
Participants leave with an assessment grid for use cases

Programme

1Where AI Genuinely Supports CSR

Separating real use cases from the narrative

  • Map the families of tools and their functions
  • Identify collection and structuring tasks that can be automated
  • Spot document analysis use cases
  • Distinguish real gains from marketing claims

2Data and Traceability

Keeping control of what the tool produces

  • Map the sources of non-financial data
  • Define the controls applied to tool outputs
  • Maintain the audit trail between published data and its source
  • Organise human review before publication

3Limits, Risks and Decision-Making

Deciding with full knowledge of the facts

  • Identify recurring bias and errors
  • Assess the resource consumption of the tools
  • Clarify responsibilities between business teams and providers
  • Build the decision grid for use cases

Who is it for

CSR managers · sustainability officers · and management controllers involved in non-financial reporting.

Prerequisites

A general understanding of how a CSR approach works.

Dates & locations

12 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.