Solitwork

Focused use case #3

Agentic ESG Reporting

Make ESG reporting a controlled, AI-enabled process. Workflow coordinates data collection, validation, review and approval, while AI agents perform selected validation and classification tasks.

TYPICAL EXECUTION QUESTION

Who checks all the ESG data before it goes into the report?

Give AI agents a clearly defined assignment:

  • Data validation: Check submitted ESG and survey data using predefined validation logic
  • Completeness: Identify missing information before the reporting process moves on
  • Exception detection: Surface only the observations that require expert review
  • Classification: Support repeatable classification tasks where rules and context are defined

single reporting model

From data collection to approval, in one workflow

ESG reporting depends on data from multiple entities, functions and owners. Coordinating that work, validating the data and collecting evidence is difficult to scale manually.

Workflow manages collection, validation, exception handling, review and approval in one process. Data that passes validation moves straight through. Only failed checks leave that path and go to review.

EXPERTS STAY ACCOUNTABLE

Automate the work - not the accountability

Each AI agent has a defined assignment and works within the rules you set. Subject-matter experts review the exceptions and keep responsibility for assessment and approval, and every decision is documented in the workflow.

Business impact

How you benefit?

  • Scalable validation: Check data from every entity without adding manual work
  • Fewer late surprises: Gaps and errors are found before the process moves on
  • Clear accountability: Experts assess and approve, with every step documented
Explore Agentic Workflow