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October 10, 20242-week sprint

Cloud Reconciliation Agent — Eliminating Hidden Infrastructure Costs

Built an automated reconciliation system using Python and Temporal.io to align client sales references with the actual deployed cloud infrastructure. The agent detected unbilled or orphaned resources in real time, preventing multi-million-euro losses.

PythonTemporal.ioCloud InfrastructureAutomationCost Optimization
Screenshot from Cloud Reconciliation Agent — Eliminating Hidden Infrastructure Costs

Snapshot outcomes

Revenue leakage prevented

€2M+ annually

Detection frequency

Daily sync cycles

Divergence resolution automation

100%

Problem

The reference data for client subscriptions often diverged from the actual state of the deployed cloud infrastructure. Some clients retained access to active compute and storage resources that were no longer listed in the sales system.

This mismatch led to substantial unbilled usage and inefficiencies in cost tracking, resulting in millions of euros in annual losses and heavy manual reconciliation work for the ops and billing teams.

Approach

Designed a Python-based reconciliation agent orchestrated with Temporal.io to automatically cross-check client references against live infrastructure states.

The system ran daily sync workflows that detected and flagged discrepancies, automatically classifying them as “orphaned,” “unbilled,” or “mismatched” resources.

Integrated alerting and reporting to internal dashboards so financial and ops teams could act immediately—or trigger automated cleanup and billing adjustments when safe to do so.

Impact

Eliminated recurring revenue leakage by automatically identifying and resolving infrastructure discrepancies before billing cycles closed.

Reduced manual auditing and data reconciliation to near-zero, freeing engineers to focus on proactive infrastructure optimization.

Recovered millions of euros in previously lost revenue and established a long-term safeguard against untracked cloud resource drift.

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