Innovo Automated Carbon data and Accelerated Decarbonisation with KarbonWise
The UAE-based construction firm partnered with KarbonWise to automate carbon data collection, integrate ESG systems, and deploy AI to close data gaps and accelerate decarbonisation across its regional construction footprint.

Carbon Visibility Across Complex Supply Chains.
Innovo is a leading construction and infrastructure firm in the UAE with expanding operations in the UK, known for its early adoption of green building certifications. With fragmented legacy systems and data sparsity across its supply chain, the company needed a smarter way to track and act onits emissions footprint.
Challenge
Turning Fragmented Data into Carbon Intelligence
Innovo is a leading construction and infrastructure firm in the UAE with expanding operations in the UK. As its sustainability ambitions grew, the company needed a clearer view of emissions across suppliers, categories, and project sites.
Data was scattered across Oracle EHS, legacy energy systems, and supplier files, making it difficult to generate complete Scope 3 insights and audit-ready reports. Innovo needed a connected system that could unify data from multiple sources, improve emissions accuracy, and automate audit-ready reporting to support its growing ESG requirements
Solution
Data aggregation, automated
KarbonWise built connectors to integrate Oracle EHS, energy platforms, and legacy systems. A custom file formatter normalised data from different sources, making ingestion seamless. Innovo's sustainability team now generates monthly reports with a fraction of the effort previously required.
Emissions data with depth
The Scope 1, 2, and 3 accounting engine provided granular emissions tracking down to the project site, supplier,and material. These insights helped Innovo identify top-emitting suppliers and categories, leading to a pilot green procurement initiative that measurably reduced embedded emissions.
AI that fills the gaps
KarbonWise deployed a machine learning model trained on construction-specific datasets and regional patterns to estimate missing emission factors. The AI adapted to Innovo's procurement behaviour and local sourcing challenges, improving reliability where data was incomplete.
Visual insight, real action
Dynamic dashboards displayed emissions by project, supplier, and category. This enabled procurement and operations teams to make informed decisions and take ownership of decarbonisation targets.
Ready for what's next
Using the compliance-ready reporting engine, Innovo now generates structured, audit-ready outputs in line with ISO14064 and the GHG Protocol. The new system requires zero manual effort andpositions Innovo to stay ahead as disclosure regulations evolve.
"Both the software and the teamexceeded expectations. Their support, expertise, and proactive approach made implementation seamless."
Result
By onboarding suppliers and automating its emissions engine, Innovo replaced fragmented, manual carbon tracking with a single, audit-ready system.
- Fully automated Scope 1-3 tracking: Significant reduction in manual data collection effort across 120+ suppliers.
- Improved supplier transparency and traceability: Global sourcing data unified into a single, verified system.
- Increased ESG maturity and EcoVadis performance: Structured non-carbondata improved Innovo's disclosure readiness.
- Real-time dashboards and audit-ready reporting: Teams across procurementand operations now access actionable insights instantly.
- Net Zero strategy alignment: Carbon data directly informs long-term planning and procurement decisions.
Summary
By automating data aggregation,enhancing accuracy with AI, and embedding reporting into everyday workflows,Innovo built a reliable carbon intelligence system for its construction footprint. With KarbonWise, the company moved from fragmented systems to unified,audit-ready insights that power its long-term decarbonisation goals.
Carbon Visibility Across Complex Supply Chains.
Innovo is a leading construction and infrastructure firm in the UAE with expanding operations in the UK, known for its early adoption of green building certifications. With fragmented legacy systems and data sparsity across its supply chain, the company needed a smarter way to track and act onits emissions footprint.
Challenge
Fragmented legacy systems and data sparsity across Oracle EHS, energy platforms, and supplier files left Scope 3 insights sparse and audit-ready reporting manual.
Solution
Built automated data connectors, an AI-powered emission-factor model,and real-time dashboards across 120+ suppliers.

Result
- Fully automated Scope 1-3 tracking: Significant reduction in manual data collection effort across 120+ suppliers.
- Improved supplier transparency and traceability: Global sourcing data unified into a single, verified system.
- Increased ESG maturity and EcoVadis performance: Structured non-carbondata improved Innovo's disclosure readiness.
Challenge
Turning Fragmented Data into Carbon Intelligence
Innovo is a leading construction and infrastructure firm in the UAE with expanding operations in the UK. As its sustainability ambitions grew, the company needed a clearer view of emissions across suppliers, categories, and project sites.
Data was scattered across Oracle EHS, legacy energy systems, and supplier files, making it difficult to generate complete Scope 3 insights and audit-ready reports. Innovo needed a connected system that could unify data from multiple sources, improve emissions accuracy, and automate audit-ready reporting to support its growing ESG requirements
Solution
Data aggregation, automated
KarbonWise built connectors to integrate Oracle EHS, energy platforms, and legacy systems. A custom file formatter normalised data from different sources, making ingestion seamless. Innovo's sustainability team now generates monthly reports with a fraction of the effort previously required.
Emissions data with depth
The Scope 1, 2, and 3 accounting engine provided granular emissions tracking down to the project site, supplier,and material. These insights helped Innovo identify top-emitting suppliers and categories, leading to a pilot green procurement initiative that measurably reduced embedded emissions.
AI that fills the gaps
KarbonWise deployed a machine learning model trained on construction-specific datasets and regional patterns to estimate missing emission factors. The AI adapted to Innovo's procurement behaviour and local sourcing challenges, improving reliability where data was incomplete.
Visual insight, real action
Dynamic dashboards displayed emissions by project, supplier, and category. This enabled procurement and operations teams to make informed decisions and take ownership of decarbonisation targets.
Ready for what's next
Using the compliance-ready reporting engine, Innovo now generates structured, audit-ready outputs in line with ISO14064 and the GHG Protocol. The new system requires zero manual effort andpositions Innovo to stay ahead as disclosure regulations evolve.
"Both the software and the teamexceeded expectations. Their support, expertise, and proactive approach made implementation seamless."
Result
By onboarding suppliers and automating its emissions engine, Innovo replaced fragmented, manual carbon tracking with a single, audit-ready system.
- Fully automated Scope 1-3 tracking: Significant reduction in manual data collection effort across 120+ suppliers.
- Improved supplier transparency and traceability: Global sourcing data unified into a single, verified system.
- Increased ESG maturity and EcoVadis performance: Structured non-carbondata improved Innovo's disclosure readiness.
- Real-time dashboards and audit-ready reporting: Teams across procurementand operations now access actionable insights instantly.
- Net Zero strategy alignment: Carbon data directly informs long-term planning and procurement decisions.
Summary
By automating data aggregation,enhancing accuracy with AI, and embedding reporting into everyday workflows,Innovo built a reliable carbon intelligence system for its construction footprint. With KarbonWise, the company moved from fragmented systems to unified,audit-ready insights that power its long-term decarbonisation goals.


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