Where AI Pays Off
The AI use cases on the table, from pilots to tools your teams already use, weighed against what they will cost and what they are worth to the business.
AI-Ready Cloud Review
Prove the ROI Before AI Spend: An AI-Ready Cloud Review
AI costs grow with usage, and tools already in use rarely have a budget line. Find out where AI spending will pay off, and whether your data, costs and security are ready for it.
ROI Before AI Spend: Signals We Listen For
- "We're evaluating AI tools for the team."
- "Our AI pilot worked. Nobody knows what it will cost at scale."
- "Copilots and agents are on the bill, but not in anyone's budget."
- "Leadership wants an AI plan, and our data lives in five places."
- "We're not sure our cloud environment is ready for what AI will add."
Whether AI sticks is decided underneath it: the infrastructure, the data paths, the access model and who owns the cost. We review those first, so the AI decision is made on evidence instead of a demo.
If you're seeing these, waiting usually means AI spend arrives in the bill before it arrives in a budget, and data access widens before anyone reviews it.
What the Review Covers
Data Paths & Access
Where the data AI needs actually lives, how it moves and who can reach it, so least privilege still holds once AI is in the loop.
AI Cost & Usage
Token, model-call and compute spend mapped to use cases and owners, so AI costs have a budget line and a person who answers for it.
Readiness Roadmap
A ranked plan: what to fix first, what to buy, what not to buy and what to wait on, in language leadership can approve.
How We Work: The Prime Process
- 1
Discover
We start with the AI pressure itself: a pilot, a board ask, tools your teams already use or a bill that keeps growing.
- 2
Diagnose
We review the workloads, data paths and spend under your AI plans and name the real gaps in plain language.
- 3
Design
We build the fix-first and cost plan with the engineers and leaders who will run it.
- 4
Deliver
You get the findings and a ranked roadmap, plus help fixing the high-risk items if you want it.
Practitioners Who Have Held the Seat
75+ Years
Combined Hands-On Experience
250+
Successful Projects Delivered
70%
of clients bring us back for their next project
AWS, Azure and Google Cloud partner
- AWS
- Microsoft Azure
- Google Cloud
Our engineers hold current certifications across AWS, Azure, Google Cloud, Kubernetes and Atlassian.
Frequently Asked Questions
Do you build AI models?
Not in this review. It covers the infrastructure, data paths, access and costs underneath AI.
Is this the same as a cloud cost review?
No. This review is about AI: where AI spending will pay off and whether your data, costs and security are ready for it. Do you know whose budget your copilots and AI tools are billed to today? If your question is who owns today's cloud bill, tell us on the discovery call and we'll point you to the right review.
What does it cost?
It depends on your environment and the questions you need answered. We scope it with you after the discovery call, and you'll know the price before any work starts.
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