STERA

ESG- DATA INTO ORDER

NAICC carried out a three-day Solution Sprint for Stera with the goal of modernizing the data processing related to sustainability reporting and building the first version of an AI-based, centralized information management solution.

During the sprint, the focus was on concrete use cases through which the company’s heavy and Excel-dependent reporting process could be automated and scaled.

In just a few days, Stera received an MVP-level service and a clear roadmap for how the solution can be taken into production and expanded in the future for both internal and external use.

Efficiency
0 X
from idea to MVP
90 days
Saved
0 €

Challenge

Stera faced the rapidly growing challenge of sustainability reporting:

manual data collection, a large number of certificates and documents, and data compiled from multiple systems created significant workload and quality risks.

The company needed to develop a concrete, AI-based solution that would not be just a reporting tool — but the starting point for a modern, centralized, and automated sustainability management system.

They needed the ability to identify the best use cases, build the first technical version, and create the foundation for a long-term development path without months of preliminary studies.

Team

For the sprint, NAICC assembled an expert team perfectly tailored to Stera’s needs:

  • CTO & Full-stack engineer with domain experience from a sustainability SaaS company

  • AI/Data Senior Architect with experience in large industrial environments

  • Senior service designer & full-stack developer

This exceptionally strong combination of technical architecture, AI expertise, data structure understanding, and usability design made it possible to design the solution as production-ready from the very beginning.

Result

During the sprint, we exceeded Stera’s expectations by delivering a concrete MVP version of a centralized sustainability management system. This included a centralized data warehouse as well as an ERP integration.

In addition, we designed a model for scaling the system for use by partner companies. The sprint also produced an AI-based document information recognition concept that extracts data directly from product specifications. The outcome was a clear roadmap for further development and production deployment, along with a testable solution instead of just an analysis.

"At first, we weren’t quite sure what to expect — would we get something concrete, something entirely new, or something in between? In the end, we received all of this and more. The sprint was a very positive experience for us: working with the expert team was smooth and inspiring, and the outcome exceeded our expectations."
Jussi Ohlsson
CEO, Stera Technologies

Contact us to know more

Mikko Kivistö

Co-Founder

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