Emily | ESG Data Collection Agent

AI agent that automates ESG and carbon data collection, validation, and reporting.

4.3 (4)

Overview

Emily is an AI agent designed to streamline the labor-intensive process of gathering ESG and carbon accounting data across an organization. It reaches out to internal stakeholders and suppliers, requests the right documents and metrics, and consolidates responses into a structured dataset ready for analysis. Beyond collection, Emily validates incoming data for completeness and consistency, flags anomalies, and helps prepare reports aligned with common sustainability frameworks. This reduces the manual workload typically handled by sustainability teams and shortens reporting cycles. The tool is aimed at companies managing complex emissions footprints, supplier networks, or regulatory disclosures who need a scalable way to keep ESG data accurate and audit-ready.

Key features

  • Automated stakeholder and supplier outreach
  • Data validation and anomaly detection
  • Carbon accounting calculations
  • ESG reporting framework support
  • Centralized data consolidation
  • Audit-ready documentation

Use cases

Automate supplier emissions data collection

Emily reaches out to suppliers, requests required carbon and ESG metrics, and consolidates responses into a structured dataset, eliminating manual follow-ups for sustainability teams.

Validate ESG data before reporting

Automatically checks incoming data for completeness and consistency, flagging anomalies so teams can correct issues before they reach disclosures or audits.

Accelerate regulatory ESG disclosures

Prepares audit-ready documentation aligned with common sustainability frameworks, helping companies shorten reporting cycles for required regulatory disclosures.

Centralize carbon accounting across business units

Coordinates data requests across internal stakeholders and consolidates emissions inputs in one place, supporting carbon accounting calculations at enterprise scale.

Pros & Cons

Pros

  • Automates repetitive data collection tasks
  • Validates inputs to reduce errors
  • Speeds up ESG and carbon reporting cycles
  • Scales across suppliers and business units

Cons

  • Requires supplier cooperation for full coverage
  • Output quality depends on source data accuracy
  • May need configuration for niche frameworks

Reviews

4.3

Average from 4 ratings.

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A

Ahmed Saleh

Use it every day

Honestly didn't expect to like it this much. Audit-ready documentation is exactly what I needed, and scales across suppliers and business units. I do wish may need configuration for niche frameworks, but I reach for it almost every day now and it just clicks.

N

Naomi Suzuki

Compared a few options

Evaluated this against two competitors. Where it wins: carbon accounting calculations and speeds up ESG and carbon reporting cycles. Where it lags: output quality depends on source data accuracy. On balance the feature set — especially automated stakeholder and supplier outreach — justifies the 4 stars for our use case.

W

Wei Chen

Years in this space

I've evaluated a lot of these over the years. What stands out here is carbon accounting calculations — handled better than most — and validates inputs to reduce errors. Output quality depends on source data accuracy is my one real gripe. Worth the time if this is your use case.

Y

Yuki Mori

Compared a few options

Evaluated this against two competitors. Where it wins: eSG reporting framework support and scales across suppliers and business units. Where it lags: requires supplier cooperation for full coverage. On balance the feature set — especially data validation and anomaly detection — justifies the 4 stars for our use case.

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