Service · Transform

Transform — Process & Software

The intersection step that turns measured data into work: process digitalisation and automation (BPM/RPA), AI & analytics, CBAM reporting software and CSRD/ESRS ESG data management — on the Qera backbone, a single source of truth.

Updated: 13 June 2026 The figures and legal references on this page are based on official/primary sources.

Transform: the intersection step

Here we turn the data gathered in the Measure step into value. Transform is the intersection step of the slogan: where the green and digital axes meet. The aim fits in one sentence — to rebuild process, decision and operation on the Qera backbone as a single source of truth. That way CBAM and ESG reporting draw from the same database; no table lives in a separate file.

This page groups a technology firm’s share of the work into four streams. Each is framed by “what we do, which standard/regulation it rests on, which problem it solves.” The solutions run on Microsoft Azure infrastructure. We separate our own core from our solution partners’ role in the working model on the Services page.

Process digitalisation & automation (BPM/RPA)

The first layer of transformation moves processes that run on paper and spreadsheets into digital, traceable flows. BPM (business process management) models and digitalises a process end to end: approval flows, forms, rules and role-based permissions. RPA (robotic process automation) automates repetitive, rule-based interim steps — copying data between systems, reconciliation, reporting triggers — with a software robot.

The two work together: BPM aligns the process, RPA closes its manual gaps. The result is fewer manual touches, fewer errors and an operation where every step leaves an auditable trail. That trail later underpins the compliance and reporting work in the Sustain step.

AI & analytics

As data accumulates, you have to make sense of it. AI and advanced analytics find patterns and support decisions in areas such as demand forecasting, predictive maintenance (acting before a failure), production optimisation and energy optimisation. The International Energy Agency’s “Energy and AI” (2025) report notes that widespread AI use in industry carries a savings potential of about 13 EJ by 2035 — roughly 3% of global final energy — with added flexibility through grid management.

Let us state the scale without overclaiming: the benefit does not arrive on its own. As the European Environment Agency (EEA) stresses, digital efficiency alone does not guarantee absolute resource reduction — without clear targets and operational follow-through, analytics stays a report. Our job is to connect the model’s output to a real action — a setpoint, a maintenance order, a procurement decision.

Four work streams

01

Process digitalisation & automation

End-to-end flow with BPM, automation of repetitive steps with RPA — fewer manual touches, an auditable trail.

02

AI & analytics

Demand forecasting, predictive maintenance, production and energy optimisation; the model’s output tied to real action.

03

CBAM reporting software

Calculating embedded emissions and reporting them to the digital CBAM registry; definitive period from 1 January 2026.

04

CSRD/ESRS ESG data management

Automated, auditable carbon-data collection for ESRS E1 Scope 1-2-3 plus intensity, mapped to the framework.

CBAM reporting software

The definitive period of the Carbon Border Adjustment Mechanism (CBAM) began on 1 January 2026. Importers in scope and the producers supplying them must report embedded-emissions data, by product and installation, to the digital CBAM registry. CBAM certificate prices are set as a quarterly average in 2026 and weekly from 2027.

Producing that data accurately, traceably and audit-ready is too intensive to handle by hand. The software layer we build in the Transform step consolidates production, energy and procurement data in one source, calculates embedded emissions and maps reporting to the registry format. We cover the policy side on the Green Transition page, and why to start now on the Why the twin transition? page.

CSRD/ESRS reporting & ESG data management

Companies in scope of the Corporate Sustainability Reporting Directive (CSRD) report under the European Sustainability Reporting Standards (ESRS). The climate standard ESRS E1 requires disclosure of Scope 1-2-3 greenhouse-gas emissions and GHG intensity per revenue. That makes automated, auditable carbon-data collection across the organisation a necessity.

Our ESG data-management layer keeps that data in a single source of truth; it maps emissions, energy and social/governance indicators to the ESRS structure and makes reporting repeatable. The CSRD’s scope thresholds have changed over time; for the current scope, refer to the 2025 Omnibus. The continuous-monitoring side of these frameworks continues in the Sustain service.

Standard / RegulationWhat it requiresTransform answer
CBAM (Reg. 2023/956)Reporting embedded emissions to the digital registryCBAM reporting software
CSRD / ESRS E1Scope 1-2-3 + GHG intensity disclosureESG data-management layer
IEA — Energy and AIOptimising energy and operations with dataAI & analytics

Where are we in the loop?

Transform is the middle of the three-step model: first Measure (data and metering infrastructure), then Transform (this page), then Sustain (compliance and sustainability) — and restart the loop. You can see the full operating model on the Methodology page and all services on the Services page.

Frequently asked questions

When do I need CBAM reporting software?

The CBAM definitive period began on 1 January 2026. Importers in scope and the producers supplying them must report embedded-emissions data to the digital CBAM registry. CBAM certificate prices are set as a quarterly average in 2026 and weekly from 2027. Producing accurate, traceable emissions data by product and installation is too intensive to handle manually; a software layer that consolidates the data in one place is therefore a structural need.

What is the difference between BPM and RPA?

BPM (business process management) models and digitalises how a process runs end to end — approval flows, forms, rules. RPA (robotic process automation) automates repetitive, rule-based interim steps (copying data, moving it between systems) with a software robot. Together: BPM aligns the process, RPA closes its manual gaps.

What does AI concretely deliver for energy and carbon?

AI finds patterns and supports decisions in areas such as demand forecasting, predictive maintenance and energy optimisation. The International Energy Agency (IEA) report “Energy and AI” (2025) notes that widespread AI use in industry carries a savings potential of about 13 EJ by 2035 — roughly 3% of global final energy. The benefit is not automatic: it requires good data, clear targets and operational follow-through.

What data do I need to collect for CSRD/ESRS?

The ESRS E1 (Climate Change) standard requires reporting of Scope 1-2-3 greenhouse-gas emissions and GHG intensity per revenue. This calls for automated, auditable carbon-data collection across the organisation. An ESG data-management layer keeps that data in a single source of truth and maps it to reporting frameworks. For the current scope thresholds of the CSRD, refer to the 2025 Omnibus.

What infrastructure do these tools run on?

The solutions run on the Qera enterprise-software backbone, on Microsoft Azure infrastructure. Process, decision and operational data converge in a single source of truth; CBAM and ESG reporting draw from the same database.

Looking for where to start your digital or green transformation?

Starting with İkiz Eksen is simple: we first measure where you stand and build your roadmap together. You begin with a single step, not a large programme.