Workshop

AI Cost and ROI: Cut the Waste and Prove the Value in One Day

Saurav Sharma

AI cost consultant, 6 years at Amazon

Know where your AI money goes, and what it returns

One live weekday, 6 hours. You bring your own AI bill: API usage, Bedrock, Azure OpenAI, or seat plans like ChatGPT, Claude, and Copilot. We work on it together, one cost lever per hour.

At 4:45 pm ET you have one ledger of your AI spend, your top 3 savings in dollars, and a one-page ROI memo you can send to your boss.

A one-workload AI Cost Audit from me starts at $2,500. This day teaches you the same method on your own bill.

I spent 6 years at Amazon, first with enterprise customers on cloud architecture and cost, then as an engineer on LLM and GenAI platforms. AI cost feels like cloud cost, just faster. I also paid for my own mistakes: $47.53 of Bedrock calls and $8.92 in one OpenRouter run, before I added gates. Hour 5 gives you those gates.

You get the recording and the templates. Each class has a limit of 20 seats.

Founding cohort rate: $499 instead of $649. These are the first dates, so the price is lower. In return, I ask for your honest feedback after the day.

Join once, come back free: you can join any later date at no cost, when a seat is open. Email me and I add you.

What you’ll learn

At 4:45 pm ET you have a cost ledger, your top 3 savings in dollars, and a one-page ROI memo.

  • Pull usage from each provider into one table: workload, model, tokens in and out, cached tokens, and dollars.

  • See which workloads carry most of the bill, and which ones nobody owns.

  • Find the calls that pay frontier-model prices for simple work.

  • Run a small eval, so you can move those calls to a cheaper model and prove the quality holds.

  • Estimate in dollars what prompt caching and batch APIs save on your workload. Batch is 50% off at Anthropic, OpenAI, and Gemini.

  • Decide on seat plans and provisioned-throughput deals: sign, do not sign, or renegotiate.

  • Set one hard spend stop the same day, and name an owner for each workload.

  • Write a one-page tokens-to-revenue memo: spend, output, outcome, and your top 3 savings.

Workshop agenda

  • 10:00 am ET: Where the money goes

    Pull your usage into one ledger: workload, model, tokens in and out, cached tokens, and dollars. You leave with your AI spend in one table.

  • 11:00 am: The right model for each job

    Find the calls that pay frontier-model prices for simple work, and test a cheaper model with a small eval. You leave with a list of calls to move.

  • 12:00 pm: Lunch

    A 45-minute break.

  • 12:45 pm: Caching, batching, and context size

    Prompt cache math, batch discounts, and context that grows with no limit. You leave with a dollar estimate for your own workload.

  • 1:45 pm: Plans and commitments

    The $20, $100, and $200 seat plan math, and provisioned throughput. You leave with a clear answer: sign, do not sign, or renegotiate.

  • 2:45 pm: Stop the surprise bill

    Hard spend limits, gates before paid calls, and a named owner per workload. I show the $47.53 Bedrock bill that made me add 4 gates.

  • 3:45 pm: Capstone: your tokens-to-revenue memo

    Spend, output, outcome, and your top 3 savings on one page. I review memos live. We end at 4:45 pm.

Learn directly from Saurav

Saurav Sharma

Saurav Sharma

Contact

I teach from my own code, bills, and mistakes. 6 years at Amazon.

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Who this workshop is for

  • Engineering managers and platform leads whose team pays an AI bill and must explain it to finance.

  • FinOps and finance people who now own AI spend next to the cloud bill.

  • Founders who spend $1,000 or more a month on AI and cannot yet say what it returns.

What's included

Saurav Sharma

Live sessions

Learn directly from Saurav Sharma in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

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Frequently asked questions

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Everything L&D needs: email template, receipts, and certificate of completion.

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Team discount

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Private cohort

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$499

USD

Dec 2
·

10am–5pm EST

·

6 cohorts