Product Overview

A quick look at the GLYNT.AI solution

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

Blog

What’s new with GLYNT

Customer Stories

Industry applications for GLYNT solutions

Guides

GLYNT’s expertise and thought leadership

How an Oil and Gas Company Unlocked $1B in Bond Financing

GLYNT.AI delivered audit-ready sustainability data across 4,800 utility accounts and 450 locations in just 7 weeks — clearing the path for a $1B bond issuance and a 5x return through back-office efficiency.

Oil and gas / energy production
$1B Bond financing unlocked
100% Audit pass, no exceptions
Customer An NYSE-listed oil and gas company operating 450+ site locations
Turnaround time 7 weeks to a full year of audit-ready emissions data
Service GLYNT.AI automated, audit-grade emissions data system

“We needed accurate, audit-ready sustainability data. GLYNT.AI delivered. And helped us gain a 5X return through improved back office efficiency.”
Operations Specialist, SAP, Oil and Gas Company

What data challenges did this customer face?

This oil and gas company required audited sustainability data to raise financing for key infrastructure projects, and potential investors required audited sustainability data.

Specifically, it needed to:

  • Move beyond contractors and spreadsheets to data with higher accuracy, granularity, and auditability
  • Process more than 4,800 utility accounts across 450 locations
  • Handle complex industrial accounts, many with dozens of meters and intricate invoicing
  • Turn the data around fast — the financing project was on hold until the data was prepared and audited
  • Meet audit-ready quality standards throughout

 

How were these sustainability data challenges solved?

GLYNT.AI built a customized, fully audit-ready data system and delivered the complete dataset in 7 weeks.

  • Fast, customized kickoff. GLYNT.AI processed data from 20 sites first to build a custom field list, then scaled across hundreds of sites while meeting exact reporting requirements.
  • Mapped emissions to physical locations. GLYNT.AI built a data model linking every record to a specific site through unique identifiers, ensuring audit readiness.
  • Eliminated duplicate records. The same files existed across multiple ERP systems; GLYNT.AI removed nearly 30% duplicates, eliminating the risk of overstated emissions.
  • One year of data in seven weeks, 100% audit-ready. GLYNT.AI delivered accurate Scope 1 and 2 data within a tight deadline, and the customer passed both internal and external audits.
SUMMARY

Oil & gas business impact at a glance

7 Weeks
Time to a Full Year of Emissions Data
5X
ROI on Back-Office Efficiency
100%
Audit Pass, No Exceptions
450+
Site Locations
4,800+
Data Sources Automated

What were the results?

GLYNT.AI transformed sustainability reporting for the oil & gas company, which went from hand-keyed data, contractors and spreadsheets to an automated system.

MetricBefore GLYNT.AIAfter GLYNT.AI
Data EntryHand-keyed, taking monthsAutomated data, completed in weeks
Site MappingDifficult to do, so not doneSustainability data mapped to physical locations
Data Preparation Hours3 FTEs plus contractors1 FTE for data reviews
Financial ImpactBlocked financingFinancing obtained
Operational ImpactLost data, inaccurate SAP codesAll data found, SAP accuracy improved

Frequently asked questions

Why do oil & gas companies need audited sustainability data?

Investors, lenders, and rating agencies increasingly require audited sustainability data before extending financing or favorable terms. One oil & gas company used audit-ready data prepared by GLYNT.AI to unlock $1B in bond financing.

What sustainability data challenges are common in oil & gas?

Oil and gas companies run complex production and distribution systems, so their sustainability data comes from many raw sources: IoT sensors, equipment, utility accounts and fuel purchases. GLYNT.AI works with all of these file types, building one unified, harmonized data system for each customer.

What makes oil & gas emissions data audit-ready?

Audit-ready emissions data links every record to a specific site through unique identifiers, removes duplicate records across ERP systems, and is verified at the data and system levels, with every data point traceable to its source file.

Why do duplicate emissions records happen?

Oil & gas companies often operate multiple ERP or accounting systems across sites and contractors, so the same invoice can get recorded more than once — inflating reported emissions if it isn’t caught and removed.

What emissions scopes should oil & gas companies prioritize first?

Scope 1 (direct emissions) and Scope 2 (purchased energy) are the typical starting point for audit-ready reporting, since investors and regulators most often require them.

What business benefits come from audit-ready sustainability data, beyond compliance?

Audit-ready sustainability data can unlock financing, improve back-office efficiency, and lay the foundation for data and AI initiatives that depend on clean, trusted data. One oil and gas company used it to unlock $1B in bond financing.

What happens to our sustainability team's role after implementation?

Their role shifts from manually gathering and correcting data to working directly with a complete, ready-to-use dataset, freeing up time for analysis and decision-making instead of data chasing.

Have a complex global footprint?
Move to audit-ready sustainability data