New·Argos now detects usage deviation across 100+ model endpoints See how →
Home / Use cases / Source first ESG extraction
Use case · ESG data

Every ESG number traceable to the page it came from.

Sustainability reporting is a reading problem at industrial scale — thousands of disclosures in a dozen formats and languages, mapped to frameworks that keep changing, with assurance providers asking where each number came from. Agents are good at exactly this, provided every value keeps its provenance.

The problem

Why this queue costs what it costs.

Coverage was a headcount problem

Analysts read reports, transcribed values and mapped them to taxonomies by hand. Coverage was limited by how many analysts there were.

Provenance was an argument

When a client or assurance provider challenged a value, finding the source page took longer than the original extraction. Limited assurance is the standard under CSRD, and it tests traceability — that gap becomes untenable.

How it works

What the agent does, and where the human stays.

Step 01

Ingest anything

PDFs, spreadsheets, questionnaires and web disclosures, in multiple languages.

Step 02

Map through versioned rules

Each data point mapped to CSRD/ESRS, ISSB, GRI and GHG Protocol through rules that are versioned and auditable, so a regulation change is a rule change rather than a re-read.

Step 03

Attach the evidence

Every value carries the page, table and cell it came from, plus the mapping rule that placed it and the analyst who approved it.

Step 04

Check before accepting

Unit and boundary validation, year on year and peer comparison. Anything unusual routes to an analyst rather than into the dataset.

Guardrails

The constraints that make it deployable.

These are not aspirations. They are enforced in the build, checked by the eval suite and visible in the audit trail.

01Unsourced values cannot be published or actioned — the rule the whole architecture rests on.
02Analyst review required on any year on year movement above threshold.
03Mapping rule library versioned and dated, with change history.
04Restatements flagged and tracked rather than silently overwritten.
05Assurance-ready workpapers generated automatically.
Measurement

What the sponsor sees every month.

The baseline is agreed with Finance before we start. These are the lines on the console — and what our outcome fee is read from.

Data points per analyst-day

Share of published values with provenance

Restatement rate

Coverage by framework

Time to answer an assurance challenge

Agents involved
Disclosure ExtractorScope 3 EstimatorSupplier Engagement AgentGreenwashing Risk CheckerGovernance Reporter
See each agent's inputs and guardrails →
Typical timeline

12 weeks to first production outcome

Blueprint and eval scaffolding by week 2, shadow mode by week 8, approve mode with a measured result by week 12 — then autonomy expands on evidence.

How AIM sequences it →
Let's talk

Tell us the number you need to move.

A 45-minute working session with an operator who has run the kind of work you are describing. You will get an honest read on where your programme stands and what it would take to move it.