ESG Playbook Launches New Sustainability Reporting Solutions for Small, Mid-Sized Businesses – ESG Today

Sustainability and enterprise danger software program firm ESG Playbook introduced the launch of Important Worksheets and Premium Modules, two new sustainability reporting product tiers focused at small and mid-sized companies.

In response to ESG Playbook, the brand new options come as smaller companies are in search of sensible methods to start reporting, with stakeholders starting from traders and lenders to insurers, and prospects more and more request sustainability knowledge. The corporate mentioned that the brand new options, share the identical underlying knowledge structure as ESG Playbook’s Enterprise Platform, permitting organizations to begin with particular person reporting instruments and develop their capabilities as reporting necessities evolve.

Designed for organizations starting their sustainability journey, ESG Playbook’s new Important Worksheets tier contains seven Excel-based reporting instruments aligned with sustainability frameworks, with preliminary choices overlaying carbon accounting, local weather state of affairs evaluation, transition planning, double materiality, TCFD reporting, VSME reporting, sustainability objectives and hole assessments, and extra GRI and IFRS/ISSB worksheets deliberate for launch.

The brand new Premium Modules tier affords cloud-based functions that includes AI-assisted steerage, consistency checking, mission administration performance. The options correspond to their worksheet equivalents, permitting organizations to transition to the tier with out re-entering knowledge, ESG Playbook added.

Sonia Zugel, Founder and CEO of ESG Playbook, mentioned:

“Rules could have began the dialog, however they’re not the first cause organizations accumulate sustainability knowledge. ESG Playbook’s mission is to handle not solely danger, influence, and alternatives which might be business particular but additionally mitigation and adaptation methods leading to actual business-driven selections.”