OPERATIONS / COST GOVERNANCE / 2024

Cost drivers and budget governance for an AI business

Facing monthly cloud spend above RMB 10m, I turned opaque provider bills into a cost model that finance, engineering, and management could act on.

RMB 10m+Annual overspend avoidedPotential overpayment modelled against 2024–2025 scale.

3 classesCost governanceVariable, fixed, and semi-variable costs managed differently.

From bill to actionAI-enabled controlTechnical spend became an operating decision input.

01 / THE CHALLENGE

What had to be made clear

Build a practical method that explains why cost occurs, separates cost drivers, and shows the annual consequence of each resource decision.

02 / MY ROLE

I led finance, engineering, and management through a three-part cost model, unit-cost anchors, approval rules, and variance review.

03 / THE APPROACH

01 Used AI to explain each bill line in business language.

02 Separated variable, fixed, and semi-variable costs with different control logic.

03 Set unit-cost anchors for usage-driven spend and triggered intervention when rates diverged.

04 Converted resource additions into full-year budget impact for approval decisions.

05 Traced spikes to duplicate system deployment caused by product bugs and coordinated remediation.

04 / DELIVERABLES

↳ AI bill interpretation and cost mapping

↳ Three-part cloud-cost model

↳ Unit-cost anchor and variance monitor

↳ Resource budget approval and annual-impact model

BEYOND THE RESULT

This case is one part of a wider finance-and-AI practice. Explore the prototypes that make the underlying logic tangible.