Bring AI and technology spend under control
For banking leaders managing growing AI, SaaS and cloud investment, this ebook shows how to build a Cloud+ FinOps operating model that connects technology spend with business value, resilience and regulatory control.
Why traditional banking cost models are falling behind
Banking technology spend is becoming harder to forecast and govern. AI introduces usage-based pricing, per-token costs and agentic workflows, while services increasingly span public cloud, SaaS, private infrastructure, data centers and legacy systems.
Common challenges include:
- Limited visibility across AI, cloud, SaaS and infrastructure spend.
- AI costs scaling faster than budgets and forecasts.
- Fragmented ownership across technology, finance and control functions.
- Difficulty connecting spend with measurable business outcomes.
What’s inside the ebook
The ebook explains how banks can extend FinOps beyond public cloud and create a shared view of cost, usage, ownership, risk and value.
It also introduces:
- A cross-functional FinOps operating model for banking.
- Practical approaches to FinOps as Code and agentic FinOps.
- A framework for measuring cost per transaction, inference and business outcome.
What this helps you do
- Improve visibility across AI and technology spend.
- Build stronger forecasting and financial accountability.
- Connect investment with productivity, resilience and customer value.
- Introduce automated controls within clear governance guardrails.