
AI+ for ESG & Sustainability Reporting
Collect, Verify and Disclose ESG Data with Confidence
Credible ESG disclosures. Defensible data. Confident reporting.
ESG reporting has become one of the most consequential professional obligations of the decade — ISSB, CSRD, GRI, and TCFD are no longer optional for organisations that access capital markets, operate in the EU, or face investor scrutiny. This book gives sustainability managers, accountants, and compliance professionals the SIGNAL Framework — a six-stage AI-assisted workflow covering scope, data collection, quality verification, narrative drafting, multi-framework alignment, and stakeholder engagement. Every stage includes ready-to-use AI prompts, worked examples, and the practical tools to turn a manual, uncertain process into a systematic, defensible one. Built by an AI engineering firm for ESG professionals who need disclosures that hold up under investor, regulatory, and assurance scrutiny — not just ones that ship on time.
- 32 ready-made, market-tested prompts: framework mapping, materiality surveys, data gap analysis, disclosure drafting, greenwashing review
- The SIGNAL Framework — Scope, Inventory, Gate, Narrative, Align, Launch: the complete ESG reporting cycle in six stages
- The ESG Data Trust Protocol — 5-criteria verification checklist that tells you whether your data is assurance-ready before the auditors ask
- The Framework Applicability Matrix — ISSB, GRI, CSRD, and TCFD mapped against who must report and what they must produce
- A 30-day ESG AI Starter Plan to build your systematic reporting programme before the next reporting cycle begins
Sustainability managers, CSR leads, and ESG reporting officers who own the annual sustainability report and are being asked to navigate an increasingly complex mandatory disclosure landscape. Also serves accountants, auditors, and compliance officers absorbing ESG responsibilities alongside their existing function.
- Select and apply the appropriate ESG reporting framework(s) for your organisation — ISSB/IFRS S1&S2, GRI Standards, CSRD/ESRS, or TCFD — using AI to navigate applicability and overlap
- Design and execute an AI-assisted ESG data collection and verification process that produces auditable, regulation-ready disclosures
- Use the SIGNAL Framework to manage a full ESG reporting cycle — from scope and materiality through to publication and stakeholder engagement
- Draft credible, framework-compliant ESG narratives and disclosure language using AI as a thought partner — while applying human judgement on materiality, tone, and accuracy
- Build an ESG reporting system that reduces manual effort, flags data quality issues, and positions your organisation for third-party assurance
- Chapter 1
- The ESG Reporting Revolution
- Chapter 2
- Frameworks, Requirements, and What You Actually Need to Produce
- Chapter 3
- The SIGNAL Framework
- Chapter 4
- Scope
- Chapter 5
- Inventory
- Chapter 6
- Gate
- Chapter 7
- Narrative
- Chapter 8
- Align
- Chapter 9
- Launch
- Chapter 10
- Your 30-Day ESG Reporting Starter Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for ESG professionals who need disclosures that hold up under investor, regulatory, and assurance scrutiny — not just ones that ship on time.
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