Free · 30 minutes · No commitment
Infrastructure audit or AI readiness review — whichever is more useful to you.
Infrastructure audit or AI readiness review — whichever is more useful to you.
Free. 30 minutes. Written summary included.
Whether you need a production infrastructure review, a cloud cost audit, or a practical AI feasibility assessment — I look at your actual setup and give you a specific, honest picture of where things stand.
✓ No sales pitch — honest findings only
✓ Written summary delivered within 24h
✓ Available within 2–3 business days
What I actually look at
Two audit tracks — pick one or both.
TRACK A — INFRASTRUCTURE & CLOUD
AWS cost, security, reliability, deployment pipeline, observability.
TRACK B — AI WORKFLOW READINESS
AI integration feasibility, automation opportunities, LLM stack readiness.
☁️
Compute & Cost Structure
What's running, what it costs, and whether it's right-sized. Idle instances, over-provisioned RDS, dev environments running 24/7, and Reserved Instance coverage gaps.
🗄️
Database Configuration
Backup retention and restore testing. Read replicas, connection pooling, slow query log status. Whether your database is a single point of failure.
🔒
Security & IAM Configuration
Overly permissive security groups. IAM roles with admin access they shouldn't have. Secrets in environment variables instead of Secrets Manager. Public S3 buckets.
🔄
Deployment & Release Process
How code gets to production. Whether there's a staging environment. What a rollback looks like. Whether deployments are automated or require human steps.
📊
Observability & Alerting
What alerts exist and whether they fire on the right things. What you would — and wouldn't — see during a production incident.
🧠
AI Integration FeasibilityAI Track
Whether your current backend and data architecture can support LLM integrations. API structure, data access patterns, latency budget, and whether your stack can absorb AI response times without breaking.
⚙️
Automation Opportunity AssessmentAI Track
Which of your current manual or semi-manual workflows are good candidates for AI automation. I look at volume, repeatability, data structure, and expected error tolerance — not every workflow should be automated.
💰
AI Cost & Feasibility ReviewAI Track
Whether the AI system you're planning will be cost-viable at your expected query volume. Token economics, caching opportunities, model selection, and whether a smaller/cheaper model could handle most of your use cases.
📚
Data & Knowledge ReadinessAI Track
If you're considering a RAG or internal knowledge system: quality and structure of your existing documentation, chunking feasibility, embedding cost estimate, and expected retrieval quality.
📈
Scalability LimitsBoth Tracks
Where the first bottleneck appears when traffic doubles. Whether your architecture handles 5x current load — including AI inference load if applicable.
What you get
Book the Free Audit Call →
A written summary, not just a conversation.
AFTER THE CALL
Written findings summary
A document covering what I reviewed, what I found, and severity ratings: critical / important / nice-to-have.
Prioritised fix list
Not 40 things. The 3–5 things to fix first, ordered by impact vs effort, with rough time and cost estimates.
Cost savings estimate
Where I see recoverable spend, with rough monthly figures so you can decide if it's worth acting on.
2 follow-up questions
Email access to clarify anything in the written summary — no time pressure, no upsell call.
WHAT PAST AUDITS HAVE FOUND
₹1.4L/mo
NAT Gateway running unused since 2021
₹6.2L/mo
Dev RDS cluster running production-sized instances 24/7
₹3.8L/mo
Over-provisioned ECS tasks, never right-sized after launch
Security
Admin IAM key committed to a GitHub repo (6 months)
Reliability
Database backups failing silently for 14 months
Real findings from real audits — sanitised for confidentiality.
Or WhatsApp Ojas if you have a question first.
Who this is for
This is useful if any of these are true.
✓
Your AWS bill is growing faster than your user count and you're not sure why
✓
You've never had a proper infrastructure audit and something feels off
✓
You recently had a production incident and aren't confident you understand why
✓
You're preparing to raise a round and want to know how your infrastructure looks
✓
Your team is growing and you need to know what's documented vs what lives in one person's head
✓
Your deployment process is slower or more fragile than it should be
✓
You're migrating to cloud or between providers and want a second opinion
How to book
Book in 2 minutes.
01
Pick a time
Use the Calendly link below to pick a 30-minute slot. Pick any time that works — I'll confirm immediately.
02
Share access before the call
Before the call I'll ask for read-only access to CloudWatch, Cost Explorer, and a brief overview of your architecture. This lets me spend the call time on findings, not setup.
03
30-minute call
We review your infrastructure together. I tell you what I see — specific findings, not general advice.
04
Written summary within 24 hours
You receive a written document covering findings, severity ratings, prioritised fix list, and cost savings estimate.
The call is free. The findings are yours to keep.
Even if we don't work together after the audit, you'll leave with a clearer picture of your infrastructure than you had before. That's the point.
30 minutes · Video call · Available within 2–3 business days