AI infrastructure assessment
AI Infrastructure Assessment & Cloud Security Audit
A fixed-price, 2-week deep dive into how your AI features run in production. You get a clear picture of what's costing too much, what will break, and what to fix first.
What's included
What you get
Architecture review
How your AI stack is built today (models, RAG pipeline, vector database, APIs, networking) and where it will struggle as you grow.
Cost breakdown and savings plan
Where your cloud and LLM spend goes, with specific changes ranked by savings and effort.
Reliability review
Timeouts, throttling, single points of failure, monitoring gaps and on-call readiness for your AI features.
Cloud security audit
IAM, data access, secrets, logging, network controls and Kubernetes security checked against what auditors and enterprise buyers expect, including SOC 2 gaps.
Prioritized roadmap
A written plan your team can follow: quick wins this week, fixes this quarter, and what can wait.
Walkthrough call
A live session with your engineering team to go through findings and answer questions.
How it works
A simple way to work together.
- 1
Assess
Review your current setup, risks, costs and goals.
- 2
Design
Agree the target architecture and a prioritised plan.
- 3
Build
Implement with infrastructure as code, reviewed and tested.
- 4
Run
Monitor, improve and support as you grow.
Compare
Kestron AI vs hiring vs freelancers
| Kestron AI | Full-time hire | Freelancer | |
|---|---|---|---|
| Time to start | Days | 2–4 months to hire | Days |
| Cost | $5,000 fixed (2 weeks) | $150k+ a year plus hiring costs | Hourly, varies widely |
| Seniority | Senior engineers | Depends on who you can hire | Varies |
| Coverage | A team, not one person | One person, vacations and sick days | One person |
| Documentation and handover | Included | Depends on the person | Rarely |
| AI infrastructure expertise | Included | Rare | Rare |
Why Kestron AI
Built for teams without a platform team.
Senior-led
Every engagement is led by a senior engineer, not handed to juniors.
AI infrastructure built in
Bedrock, RAG and LLM cost control are part of our core skills, not an add-on.
AWS-first
Deep AWS expertise, plus Google Cloud, Oracle Cloud and Cloudflare when needed.
Documented
Terraform, runbooks and handover docs. Your team always owns the system.
FAQ
Common questions.
What access do you need?
Read-only access to your cloud account and repositories is usually enough. We never need production write access for the assessment.
How much of our team's time does it take?
About 2–3 hours: a kickoff call, a few short questions during the review, and the final walkthrough.
What if we are not on AWS?
We also assess Google Cloud and Oracle Cloud setups. Book a call and we will confirm fit before you pay.
What happens after the assessment?
You keep the roadmap and can implement it yourself, or we can build and run it with you.
Ready to build?
Your AI in production, done properly.
Get a practical plan for a secure, scalable and cost-efficient AI infrastructure.
Book an Assessment