GreenPilot AI is building the tooling layer that lets European SMEs run AWS infrastructure that is financially efficient, environmentally accountable, legally compliant, and under their own control — without an enterprise-scale team to manage it.
“Most cloud tools tell you what is wrong. None of them are built for the regulatory, environmental, and sovereignty constraints that define how European companies must operate their infrastructure.” — The gap GreenPilot AI is built to close.
Each one alone would create demand. Together they define a structural shift in how European companies must think about cloud infrastructure — and who they trust to help them manage it.
EU-wide cybersecurity obligations now apply to a significantly broader set of companies. Cloud configuration, access controls, and incident response are no longer optional governance topics for mid-market firms.
General-purpose AI model providers must document energy consumption. Operational AI governance is becoming a compliance requirement, not a best practice. The tooling to measure and report it does not yet exist at SME scale.
Cloud infrastructure is in scope for Scope 2 and Scope 3 emissions disclosures. Most SMEs have no process for estimating cloud carbon, let alone reporting it. GreenPilot's methodology is already built for this gap.
The European Commission's EUCS scheme, GAIA-X, and the Data Act are converging on a single question: do European companies actually control where their data and workloads live? GreenPilot makes that question answerable from the AWS configuration itself.
Enterprise FinOps platforms require dedicated teams to operate. Native AWS tools surface problems without helping you act on them safely. European SMEs — 99% of all EU businesses — have no purpose-built solution for cost, carbon, and governance in one place.
Flexera's 2024 State of the Cloud report puts average cloud waste at 28% of total spend. For a European SME spending €10,000/month on AWS, that is €33,600 per year in recoverable cost — before any governance or carbon benefit is counted.
These are not five separate features. They are five dimensions of the same problem: European companies need cloud infrastructure they can understand, control, and account for. GreenPilot makes that practical without an enterprise-scale team.
GreenPilot is not a dashboard that surfaces recommendations and leaves execution to you. It is an automated assessment engine with open-source, inspectable logic — rule-based today, ML-scoring on the roadmap. The methodology is public, testable, and verifiable by anyone who checks the repository. In a market full of black-box SaaS tools, that is a structural trust advantage.
Every competitor either gives you a report and leaves you to act manually, or automates changes without asking. GreenPilot sits in the only defensible position: automated detection, human-controlled execution. Every optimization requires explicit sign-off before it runs. This is the right model for SMEs who cannot afford production mistakes and do not have a team to supervise autonomous changes.
GDPR data residency is an active operational concern, not a checkbox. Where is your data stored? Which AWS regions? Which services touch personal data? GreenPilot surfaces this from the AWS configuration itself — not from a questionnaire. It also flags NIS2 security posture gaps and CSRD emissions signals. No generic FinOps tool does this for the EU regulatory context specifically.
EU cloud sovereignty is a real and growing policy priority. The European Commission's EUCS scheme, GAIA-X, the Data Act, and NIS2 all point toward the same question: do European companies actually control where their data and workloads live, and can they prove it? GreenPilot makes sovereignty operational — not as a political statement, but as a practical audit: EU regions, least-privilege access, revocable credentials, no lock-in.
CSRD is narrowing its scope for the smallest SMEs for now, but the direction is clear: cloud emissions reporting is becoming a standard business requirement. GreenPilot's carbon methodology is already more honest than most competitors — every figure is labeled as measured, provider-allocated, or modeled. No overclaiming. The methodology is documented and public. That transparency is the differentiator, not the number itself.
The numbers below are sourced from Flexera, Gartner, IDC, and Eurostat. They are cited, not invented.
CloudHealth, Apptio Cloudability, and Spot.io are built for organisations with dedicated FinOps teams, complex multi-account structures, and enterprise procurement cycles. They are priced and designed accordingly. A European SME spending €5,000–20,000 per month on AWS is not their customer — and those tools have no EU governance layer.
AWS Trusted Advisor and Cost Explorer surface problems. They do not help you act on them safely, they have no approval workflow, they produce no carbon estimate, and they have no awareness of GDPR data residency, NIS2 posture, or CSRD reporting obligations. The gap between “flagged” and “actioned” is exactly where GreenPilot operates.
Every claim on this page is backed by inspectable, running code. This is what separates GreenPilot from a pitch deck with a product screenshot.
The full rule engine — cost waste detection, carbon estimation, EU governance observations — is public, MIT-licensed, and runnable in under two minutes from a fresh clone. No black box.
github.com/flango2023/GreenPilot-AI →Every rule, both engine paths, input validation, output escaping, and the live AWS collector are covered by tests. The collector tests use botocore's own Stubber — no real account needed to run the full suite.
View test suite →The exact IAM policy the live collector needs is committed and tested — including a test that verifies the explicit Deny does not shadow the two Allow-listed IAM reads. Security claims that are verifiable, not asserted.
View IAM policy →The engine connects to a real AWS account read-only — EC2, EBS, RDS, S3, CloudWatch, IAM credential reports — and produces the same report shape as demo mode. One command, real output.
View sample report →The carbon formula, data sources, and known limitations are published. Every output is labeled by evidence quality: measured, provider-allocated, or modeled. No overclaiming.
Read the methodology →Static analysis and dependency scanning run automatically on every commit. The security posture of the codebase is continuously monitored, not manually reviewed once at launch.
Security model →Honest about what is built today. Specific about what comes next. No vaporware.
Richard Schmitz is an AI and cloud engineer with hands-on experience in AWS infrastructure, machine learning, and FinOps practices. He is currently completing a specialisation in AI Automation, GenAI, NLP, and Governance, with a Master's direction in Computer Vision and Edge AI.
GreenPilot AI started from a direct problem: European SMEs running AWS do not have the tooling to manage cloud cost, carbon, and governance without an enterprise-scale team. Every line of the engine, every test, every IAM policy, and every methodology document was built by Richard — with the discipline of making every claim verifiable before publishing it.
GreenPilot AI on LinkedInGreenPilot AI is actively looking for investors, accelerator partners, and strategic collaborators who share the conviction that European companies need purpose-built cloud governance tooling — not a US enterprise tool with a GDPR checkbox bolted on.
EU-based angels, seed funds, and accelerators aligned with cloud sovereignty, responsible automation, and EU regulatory tailwinds.
AWS ISV partners, German Mittelstand tech companies, EU cloud providers, and organisations building in the EUCS / GAIA-X ecosystem.
Unicorn Hub, EIT Digital, Antler, Entrepreneur First, and EU-focused deep-tech programmes with a cloud or sustainability track.