ESG AI
AI for ESG strategy, evidence and reporting
ESG AI helps organisations and consultants organise sustainability evidence, assess gaps, develop strategies and policies, and produce structured reporting and action plans.
Who it’s for
Built for ESG, governance and reporting teams
- ESG directors
- Sustainability managers
- Governance teams
- Funds and investment teams
- Large and multi-site businesses
- ESG consultants
- Corporate advisers
Capability
What ESG AI does
Organise ESG evidence
Bring policies, data and supporting documents into one structured working set per organisation.
Assess gaps
Compare current position against reporting requirements and identify what is missing.
Develop policies
Draft and refine environmental, social and governance policies in consistent formats.
Analyse materiality and risk
Work through material topics, risks and priorities with the supporting rationale retained.
Support carbon reporting
Prepare emissions and energy reporting narrative alongside the underlying evidence.
Create reporting material
Produce strategies, action plans and board or stakeholder reporting content.
Ingest documents and spreadsheets
Read uploaded documents and PDFs and extract the data into the correct request-for-information fields, with smart CSV upload for the organisation's own energy and transport formats.
Hold evidence against each data point
Keep an evidence record and audit trail against every individual data point, so any disclosed figure can be traced to its source.
Workflows, inputs and outputs
How ESG teams use it
ESG strategy workflows
- ESG gap assessment
- Evidence collection and structuring
- Materiality and risk review
- Policy development
- Strategy and action planning
- Carbon and energy reporting support
- Annual reporting preparation
- Board and stakeholder reporting
Typical inputs
- Existing policies
- ESG evidence and documents
- Organisational and site information
- Energy and carbon data
- Reporting requirements and frameworks in use
Typical outputs
- Gap analysis
- ESG strategy
- Policies
- Action plans
- Reporting content
- Board and stakeholder summaries
Use cases
Corporate and fund applications
Corporate ESG programmes
Move a multi-site organisation from scattered evidence to a structured, repeatable reporting position.
Fund and investor reporting
Prepare consistent ESG narrative and supporting analysis for investors and stakeholders.
Annual cycles
Reuse the previous cycle's structure and evidence instead of restarting each year.
Assurance
How the output is produced and signed off
Numbers come from calculation engines
All numerical output is produced by deterministic calculation engines. Figures are never generated by a language model.
Continuous regulatory watch
Compliance guidance is maintained continuously against UK and EU regulatory change, so the methodology behind an output stays current.
Qualified sign-off before issue
Every issued report is reviewed and signed off by a qualified person — an accredited energy assessor for EPCs, an ESOS Lead Assessor for ESOS. The platform speeds report production; it does not replace the professional.
Coverage
Compliance and framework coverage
The skill library behind ESG AI covers the following, maintained continuously against UK and EU regulatory change.
Buildings and energy
- EPC
- MEES
- TM44
- UK NZCBS v1
- Embodied carbon (RICS WLCA)
- BREEAM
- ISO 50001
- Building and transport energy audits
Carbon and compliance reporting
- GHG Protocol Scope 1, 2 and 3
- SECR
- ESOS Phase 4
- CRREM
Corporate ESG and disclosure
- TCFD
- GRESB
- CSRD / ESRS
- SBTi
- Double materiality
- ESG acquisition assessment
Wider sustainability
- Water efficiency
- Biodiversity
- Circular economy
- Green leases
- Healthy buildings
- B Corp
The skill library is maintained continuously against UK and EU regulatory change.
Interface
The product in use
ESG AI interface
Live interface screenshot reserved for this space. We show the working product only, so this frame stays empty until a genuine capture is published.
Consultants
Consultant licensing
ESG consultants and corporate advisers can license ESG AI individually or for a team, with reusable workflows and separation between client engagements.