ESG Reporting

Process Goal

The creation of ESG reports is increasingly mandatory for banks, SMEs, and organizations; yet it remains complex, time-consuming, and resource-intensive. Multiple data sources, manual data collection, and a lack of standards make it difficult to generate consistent and transparent reports.

FireStart supports companies in the end-to-end automation of ESG data collection, processing, and documentation to save time, avoid errors, and improve reporting quality.

KPIs:

Reduction of manual tasks: Up to 90% fewer manual entries through automated data collection.
Shorter lead time from kickoff to final report: 50–80% time savings compared to manual reporting.
Improved data quality and completeness: ≥ 98% of data fully complete and validated before report generation.
Compliance with legal deadlines: 100% on-time delivery thanks to automated escalations.
Audit-proof & transparent documentation: Complete digital audit trail for all data and process steps.

Reduction of manual tasks: Up to 90% fewer manual entries through automated data collection.
Shorter lead time from kickoff to final report: 50–80% time savings compared to manual reporting.
Improved data quality and completeness: ≥ 98% of data fully complete and validated before report generation.
Compliance with legal deadlines: 100% on-time delivery thanks to automated escalations.
Audit-proof & transparent documentation: Complete digital audit trail for all data and process steps.

Reduction of manual tasks: Up to 90% fewer manual entries through automated data collection.
Shorter lead time from kickoff to final report: 50–80% time savings compared to manual reporting.
Improved data quality and completeness: ≥ 98% of data fully complete and validated before report generation.
Compliance with legal deadlines: 100% on-time delivery thanks to automated escalations.
Audit-proof & transparent documentation: Complete digital audit trail for all data and process steps.

Improvement with FireStart

Centralized data collection from heterogeneous sources:
ESG-relevant indicators (e.g. energy consumption, mobility data, supplier audits) are automatically retrieved from ERP, HR, and facility systems.
Automated validation & data enrichment:
FireStart checks data for plausibility, fills gaps via workflows (e.g. inquiries to departments), and prepares the information for ESG reporting.
Role-based approval & commenting:
Relevant ESG KPIs pass through a multi-level approval process in accordance with compliance and reporting requirements (e.g. sustainability officers, CFO, external auditors).
Seamless integration with reporting tools:
Consolidated ESG data is transferred to frameworks like GRI, CSRD, DNK, or SFDR via standardized exports (XLSX, JSON, API).
Complete documentation & audit trail:
All data entries, processing steps, and approvals are transparently logged and archived in an audit-proof manner.

Centralized data collection from heterogeneous sources:
ESG-relevant indicators (e.g. energy consumption, mobility data, supplier audits) are automatically retrieved from ERP, HR, and facility systems.
Automated validation & data enrichment:
FireStart checks data for plausibility, fills gaps via workflows (e.g. inquiries to departments), and prepares the information for ESG reporting.
Role-based approval & commenting:
Relevant ESG KPIs pass through a multi-level approval process in accordance with compliance and reporting requirements (e.g. sustainability officers, CFO, external auditors).
Seamless integration with reporting tools:
Consolidated ESG data is transferred to frameworks like GRI, CSRD, DNK, or SFDR via standardized exports (XLSX, JSON, API).
Complete documentation & audit trail:
All data entries, processing steps, and approvals are transparently logged and archived in an audit-proof manner.

Centralized data collection from heterogeneous sources:
ESG-relevant indicators (e.g. energy consumption, mobility data, supplier audits) are automatically retrieved from ERP, HR, and facility systems.
Automated validation & data enrichment:
FireStart checks data for plausibility, fills gaps via workflows (e.g. inquiries to departments), and prepares the information for ESG reporting.
Role-based approval & commenting:
Relevant ESG KPIs pass through a multi-level approval process in accordance with compliance and reporting requirements (e.g. sustainability officers, CFO, external auditors).
Seamless integration with reporting tools:
Consolidated ESG data is transferred to frameworks like GRI, CSRD, DNK, or SFDR via standardized exports (XLSX, JSON, API).
Complete documentation & audit trail:
All data entries, processing steps, and approvals are transparently logged and archived in an audit-proof manner.

Trigger:
ESG process is triggered by legal deadline, internal planning, or a system event.
Automated Data Collection:
Interfaces to energy management, HR, ERP, and supplier systems retrieve relevant KPIs in a structured format.
Data Review & Escalation:
Missing or critical values automatically generate tasks — including reminders, escalations, or substitution.
Approval Process:
Responsible parties approve the validated figures, add context, or flag risks.
Report Export & Archiving:
The final report (e.g. according to GRI, CSRD) is automatically generated, archived, and optionally submitted directly to reporting platforms.

Trigger:
ESG process is triggered by legal deadline, internal planning, or a system event.
Automated Data Collection:
Interfaces to energy management, HR, ERP, and supplier systems retrieve relevant KPIs in a structured format.
Data Review & Escalation:
Missing or critical values automatically generate tasks — including reminders, escalations, or substitution.
Approval Process:
Responsible parties approve the validated figures, add context, or flag risks.
Report Export & Archiving:
The final report (e.g. according to GRI, CSRD) is automatically generated, archived, and optionally submitted directly to reporting platforms.

Trigger:
ESG process is triggered by legal deadline, internal planning, or a system event.
Automated Data Collection:
Interfaces to energy management, HR, ERP, and supplier systems retrieve relevant KPIs in a structured format.
Data Review & Escalation:
Missing or critical values automatically generate tasks — including reminders, escalations, or substitution.
Approval Process:
Responsible parties approve the validated figures, add context, or flag risks.
Report Export & Archiving:
The final report (e.g. according to GRI, CSRD) is automatically generated, archived, and optionally submitted directly to reporting platforms.