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Audit-Ready Sustainability Data

Prepared for ISSA 5000 and other audit standards

Sustainability Data Layer

Works with the software and AI you already use

Approval Workflows for Sustainability Data

Four-Eyes review for audit compliance

Finance-Grade Sustainability Data

The same rigor as financial data

Integrate with Financial Data

Reconcile against your financial ledger

AI-Ready Sustainability Data

See what’s missing or flagged before deadlines

Powered by Green AI

Built for low energy use and emissions

Best Practices for Sustainability Data Management

Manage data instead of wrangling it

Enterprise Security

Privacy, security, and controls

Sustainability Data Accuracy

We test your data so you don’t have to

Comprehensive File Capture

Extract data from scans, portals, and messy formats

Customized Reporting

See what’s missing or flagged before deadlines

Audits & Assurance

Traceable data, approval workflows with SOC compliance

Business Value Add

Customize output files for CSRD, IFSR, CBAM, UKSRS

Energy Data Management

Granular data for transparency and cost reductions

Waste Data Management

Pull files from everywhere, send data to anywhere

Scope 3 & PCFs

Stop chasing suppliers, move to finance-grade quality

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The Five Components of Transformational AI

by | Mar 2, 2018

It’s B.A.S.I.C.
 
During the past year, I led the development of a new product at WattzOn, GLYNT, which uses machine learning (ML) to transform data trapped in documents (PDFs, scans and images) into structured data flowing to customers. During that year, I witnessed a shift in our priorities, problem framing and conversations. WattzOn became “AI-First.” Now, we are always asking
 
• Does this effort, product feature, or project plan leverage the full powers of AI?
• Is this effort set up to successfully serve and support the AI?
 
These questions change how we see what’s important and how we prioritize activities. AI-First became a company-wide change in thinking. We call this shift of an existing business Transformational AI.
 
As many have noted, AI is a stupendously powerful tool that can transform industries, creating both winners and losers. To be a winner, a company must have more than a toe in the AI water. I’ve summarized what we’ve learned about Transformational AI with the acronym BASIC, which stands for
 
• Business impact
• AI expertise is not enough
• Software in service to AI
• Infrastructure to support the AI solution
• Collaboration with the non-AI team
 
Transformational AI and the BASIC framework is not meant for companies that just want to add a small AI project. This is a perspective for companies that have acquired a taste of AI through their first projects, and now want to re-think their business strategy and engineering priorities so they can leverage the power of AI throughout their organization.
 
My white paper details what it takes to be AI-First, to transform a company and gain a powerful competitive advantage. This sounds ambitious, but actually it’s just B.A.S.I.C.