Enterprise GenAI Business Case, Cloud Economics

Enables organizations considering a GenAI POC or AWS workload to generate a neutral, 3rd party business case that would sufficiently resonate with their financial leadership.

Customer and AWS generate the GenAI use case and objectives, FinOptik builds a CFO-grade advanced financial component to help the project cross the goal line with finance.

Outputs:

• Forecasting the cost of a net new genAI project, grounded in projected usage (ex; tokens, compute, etc) based on customer use case, pilot vs rollout,
• Comparative cost analysis of different services (Bedrock, Sagemaker, other AI services) that would meet the business objectives,
• Projections of potential evolutionary phases of model fine tuning, Retrieval-Augmented Generation (RAG), Inference or full custom training,
• Qualitative risk considerations, such as cost of measures employed to ensure data security, governance, IP, 3rd party licenses, regulatory regimes (GDPR, HIPPA), information security risk given hosting / LLM options.
• A cash-flow / cash outlay model,
• Net expense reduction estimate and projected P&L impact,
• Impact on accrual earnings, EBITDA
• A qualitative and quantitative analysis of the business outcomes

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Special emphasis is placed on the project's effect on

1. the transformation of the customer's internal business operations,
2. potential new product offerings,

as a result of the project's acceleration of company objectives.

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Ideal Customer / Project Profile:

1. Large Enterprise, current AWS customer, taking on a large GenAI project.
2. There is a blocker to production within the financial office, who needs more rigour in analysis / risk.
3. Technical solution is validated, internal customer leadership is satisfied.
4. Technical integration to ROI is not an issue.

The output is co-built with customer Finance Office leadership, VP Architecture / VP Tech and Finance, Director of Cloud, and AWS account leadership.

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Approx 4-7 weeks to complete.