Solutions · AI for FinOps
From Invoice Archaeology to Unit Economics
Cost per token, model, agent, workflow and finally per business outcome are attributed to an owner, forecast, and enforced with budgets rather than reviewed after the fact.
The problem
What Changes When This Goes Wrong?
AI spend as one undecomposable line
Retry storms discovered at month-end
No unit cost to judge viability
Agents
How They Act and Become Responsible?
AGENT 01
Attribution agent
Tags every unit of spend to team, feature, tenant and owner.
AGENT 02
Anomaly agent
Detects cost excursions in near real time and throttles under policy.
AGENT 03
Optimization agent
Applies routing, caching and capacity changes with verified savings.
Outcomes
What We Measure
Enabling FinOps as a cultural imperative, we help enterprises run it at full scale, complemented by cost savings across cloud and AI, including token economics.
- Cost per outcome
- Spend attributed to an owner
- Forecast accuracy
- Budget adherence
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
FinOps Embedded as Strategic Enabler
Save costs by considering digi edZe’s FinOps enablement, where our platforms and approach define a new era of intelligence through AI prowess.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT