AI cost architecture review

Your AI feature shipped. Your cloud bill moved. Your margin model did not.

Olive-One traces cloud, LLM, API, vector, observability, SaaS, and automation spend back to the workflows causing margin leakage, then turns it into a CTO/CFO decision memo.

Built using the FinOps Foundation methodology for cloud cost management, with hands-on AWS, AI workflow, and margin diagnosis experience.

Cost surfaces reviewed

Olive-One can trace spend across the providers your app already uses.

Before you accept delivery, scale usage, change pricing, or rebuild, review the cost, ownership, and operating assumptions behind the app. Olive-One reviews cloud, LLM/API, database, vector, automation, observability, and workflow ownership risk so the economics are easier to explain and operate.

AWSAWS
Microsoft AzureAzure
Google CloudGoogle Cloud
OracleOracle
CloudflareCloudflare
OpenAIOpenAI
AnthropicAnthropic
SupabaseSupabase
FirebaseFirebase
VercelVercel
DatadogDatadog

Entry offer

Start with a focused review, not a long transformation project.

Before you accept delivery, scale usage, reprice, or rebuild, check the cost, ownership, and operating assumptions behind the app. Olive-One reviews cloud, LLM/API, database, vector, automation, observability, and workflow ownership risk so the economics are easier to explain and operate.

This is for you if

Tu app ya funciona. Tu margen no.

Olive-One is for operators who need a practical answer before the next cloud bill becomes a strategy meeting.

Your AI/cloud bill jumped after launch.

You need to know which workflow, model, service, or automation path moved.

Finance is asking what changed.

The answer needs to connect spend movement to product and customer activity.

Engineering sees spend, not business impact.

Teams need a shared language for cost, owner, margin, and action.

Cost per workflow is unknown.

You cannot yet calculate cost per customer, ticket, outcome, or AI action.

You need a decision.

Optimize, reprice, cap, rebuild, or shut down the risky workflow.

What Olive-One gives you

A short path from messy spend to an executive decision.

The output is not another metrics screen. It is a focused report that lets engineering and finance decide what to do next.

01

Workflow cost map

Spend traced to features, services, workflows, owners, and usage windows.

02

Cost leak findings

Specific risks such as retry storms, context growth, logging spikes, or uncapped jobs.

03

Owner matrix

Who owns the workflow, budget, alert, decision, and remediation path.

04

CTO/CFO memo

A clear decision note for engineering, finance, founders, and technical operators.

05

30-day action plan

Ranked fixes by risk, effort, expected impact, and confidence level.

How data access works

No production write access required.

Olive-One can work from exports, scoped read-only access, or incomplete data with confidence levels clearly marked.

Option 01

No access

Work from billing exports, LLM usage exports, screenshots, service lists, and workflow notes.

Option 02

Read-only

Use scoped read-only access when the team wants stronger attribution and faster validation.

Option 03

Messy data

Gaps are documented directly in the report with confidence ratings and next evidence needed.

Pricing and scope

Choose the depth your workflow needs.

Diagnose one specific AI app cost emergency or review your production cost surface.

First step

AI App Cost Emergency Review

Starting at $1,500

Best for founders and technical operators who need a quick diagnosis for one app, MVP, automation, or feature with a real bill or margin question.

Larger scope

AI Spend-to-Margin Audit

10 business days

For teams with multiple workflows, cloud and AI tools, stakeholder reporting needs, and a real margin question.

Find the workflows quietly destroying margin before your next cloud bill becomes the strategy meeting.

Send the rough stack, recent spend movement, workflow description, and what decision you need to make. No credentials or secrets are needed for the first call.