MAIN CHALLENGES
Operational Challenges in Application & Project Management
Focusing on the technical and organizational gap between corporate ESG goals and IT execution.
The Governance Gap
While corporate ESG targets are defined at the strategic level, execution occurs at the application level. Most IT organisations lack the granularity to correlate specific technical decisions with their environmental outcomes.
Lack of Predictive Analysis (Build)
Architecture choices—AI model selection, cloud region, and data retention policies— or other activities - travels, man.days etc. - are typically made without a quantitative impact assessment, creating embedded carbon debt.
Dependency on Static Ratios (Run)
Annual, top-down calculations prevent operational steering and fail to identify specific inefficiency leaks within the application portfolio.
Fragmented Qualitative Assessment
Accessibility, ethical AI governance, and digital sovereignty are managed in silos, disconnected from the application’s technical performance.
THE OPERATIONAL FRAMEWORK
Tailored Cockpits
Empower Managers
from Build to Run.
A. Assessment & Cockpit Designer
Deploy tailored evaluation journeys; compare models, regions, and providers before deployment; and give project managers autonomy with central oversight.
B. 360° Footprint Measurement of app in near real-time
Allocate AI environmental cost via the CMDB, capture actual provider consumption, and use an expert-curated database for training and inference factors.
C. Smart recommendaitons
Identify reduction levers, assign mitigation tasks with deadlines, and balance business value, RAI risk, and carbon footprint from one dashboard.
360° FOOTPRINT QUANTIFICATION
From Build to Run.
A. Build Phase: Simulation & Scenario Modelling
Before deployment, Aguaro enables evidence-based decision-making: architectural simulation compares technical stacks such as proprietary and open-source LLMs; predictive modelling estimates total footprint from transaction volumes and resource allocation; and impact/cost correlation aligns technical specifications with financial budgets and carbon quotas.
B. Run Phase: Automated 360° Measurement
Continuous monitoring captures CPU, RAM, and energy data across cloud and on-premise environments. Greenspector measurements quantify real client-side energy use, while daily or weekly granularity makes anomalies visible without the volatility of millisecond-level monitoring.
THE SUSTAINABILITY SCORECARD
Multidimensional Assessment of Software Responsibility.
Eco-Design
Evaluation of functional sobriety and resource efficiency.
Digital Accessibility
Tracking and scoring of compliance with accessibility standards.
Responsible AI
Governance audits for data ethics, bias mitigation, and transparency, aligned with RIA31.
Resilience & Sovereignty
Assessment of vendor lock-in and data residency risks.
Capture de l’application
Outcome: Portfolio Managers can benchmark applications internally and prioritise the refactoring roadmap with a combined Risk/Impact matrix.
TECHNICAL CLARIFICATIONS
Frequently Asked Questions
Does integrating sustainability slow down the Sprint/Delivery cycle?
On the contrary, it reduces late-stage risk. Simulating impact during the Build phase helps teams avoid costly architectural pivots during testing or production.
How does this differ from existing Cloud FinOps tools?
FinOps focuses on financial expenditure within the cloud. Aguaro manages complete environmental and qualitative cost across the entire estate—including on-premise systems, user devices, AI ethics, and accessibility risks.