How GLYNT.AI Reduces Customer Time and Effort in Sustainability Data Migrations
One of the biggest challenges in sustainability reporting is preparing the data. Carbon accounting and ESG solutions simply assume this work gets done by in-house teams. But many in-house teams operate with hand-keyed data and spreadsheets managed by a rather distributed team.
The anxiety levels are high with best-efforts type of sustainability data preparation as the reported data is inconsistent, has visible and hidden/surprising errors, is often late and has no system for revisions. The costs of an audit rise without documentation and internal reporting, as every audit question ripples through from person to person who touched the data, and everyone has to go back and figure out what they did on the fly.
But one more worry prevents sustainability teams from moving quickly to automation: The cost and pain of migration from the current system. GLYNT.AI has built its AI-First Onboarding to solve this challenge. Our data preparation system is optimized for accuracy and automation, and we use those same tools to learn from customer data. The result is friction-free onboarding with GLYNT.AI, via structured, documented path from current methods.
Here’s the simple process that GLYNT.AI uses in each onboarding project:
AI-FIRST ONBOARDING WITH GLYNT.AI
We build a Rulebook – an easy-to-read set of documentation that verifies the automations and customizations for each data source. Share the Rulebook with team members, managers and auditors. Behind the scenes, GLYNT.AI is building a library of tables that mathematically capture the rules, and as the Rulebooks get tweaked and updated, those tables are updated as well. We’re happy to share the tables with your team, we’ve just found it easier to take the more visual Rulebook approach.
And to keep everyone focused, we’ll divide an onboarding project into two-week cycles, which we call Data Waves. Every Data Wave has an explicit process and check off. The onboarding is completed in under 90 days, but there is no end-of-project madness as most of the automation was prepared and confirmed weeks ago. GLYNT.AI can automate more quickly, but customers often want to be “hands on” with their data. Coming from manual systems, they need to build up trust and we’re happy to do that Data Wave after Data Wave.
Onboarding projects end with 60 days of Hypercare. This is when the GLYNT.AI customer success and data operations teams watch the data flows with extra attention and care. This catches the unexpected, and solves it quickly. After Hypercare, the data updates on a weekly, monthly or quarterly basis move into Regular Data Services, including GLYNT.AI’s 99.5% guaranteed accuracy.
What Customers Don’t Do
GLYNT.AI’s streamlined AI-First approach is unfamiliar to most sustainability teams, so to demonstrate how easy the onboarding method is, take a look at what GLYNT.AI is not asking customers to do!
WHAT CUSTOMERS DON’T DO IN ONBOARDING WITH GLYNT.AI
| STANDARD ONBOARDING TASK | REQUIRED IN STANDARD ONBOARDING? | REQUIRED IN GLYNT.AI ONBOARDING? |
|---|---|---|
| List of Sites, Accounts & Meters | Yes. Can’t start the data prep without this “setup file” | No. GLYNT.AI automatically prepares this list for you from your own data |
| Document all rules and configurations | Yes. Can’t start the automation without this reference guide | No. GLYNT.AI learns from your previously processed data and prepares the Rulebook for you |
| Use developers to code from API to customized data | Yes. Customization is not included. | No. Customization is built in. |
| Must plan out all details exactly at the start of the project. | Yes. Change order needed if customizations change. | No. Changes are usually a simple fix during onboarding. Of course there are limits to this rule, but our attitude is “let’s get this done.” |
The Bottom Line
GLYNT.AI leverages our experience, expertise and automation to make onboarding simple, reducing time and effort. And we’re using a disciplined, proven method to reduce project risk as well! Use AI-First Onboarding to streamline your sustainability data preparation and get customized, seamless data flows into the systems of your choice. No developer resources required.
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