Mirotech Ops Intelligence

Situation

Mid-market companies assemble a sprawling stack — cloud, SaaS, AI gateways, and automations — without shared ownership or a trustworthy savings narrative for the board.

Approach

Ingest billing and usage signals, normalize ownership, detect anomalies, and propose recommendations with evidence, monthly savings, and risk. Leadership sees a forecast; operators act on inventory and workflows; engineers drill into API cost drivers.

Outcomes (sample)

• $15.9k identified monthly savings across four open recommendations
• Faster renewal hygiene with unused seat detection
• Earlier AI spend anomaly detection for support and batch jobs