AI Platform Selection Case Study

How a major insurance company benchmarked AI platform pricing across OpenAI, Anthropic, Google, and AWS and signed 31% below the proposals.

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  1. Key points
  2. More Enterprise Benchmark Results
  3. Related reading

Key points#

  • All four had submitted enterprise proposals in response to the carrier's RFP. The proposals ranged from $7.8M to $11.4M over three years, and none were structured identically, making direct price comparison nearly impossible without independent benchmark data.
  • OpenAI moved from $9.2M to $7.1M but declined to include fine-tuning within the commitment structure.
  • Anthropic moved from $7.8M to $6.3M. Google moved from $8.4M to $5.8M and agreed to include fine-tuning credits as part of the enterprise commitment, a structural concession that changed the total cost calculation significantly.
  • The carrier selected Google Vertex AI at $5.8M over three years, 31% below their initial proposal and within the lower quartile of comparable financial services AI commitments in ISVCOSELL's database.
  • Oracle · Retail Fortune 500 Retailer: $12M Saved on Oracle Renewal Read case study →SAP · Manufacturing Manufacturing Group: $9.4M Saved on SAP S/4HANA Migration Read case study →PE Fund · Portfolio Due Diligence PE Fund: Due Diligence on 12-Company Portfolio Software Spend Read case study →.

More Enterprise Benchmark Results#

Oracle · Retail Fortune 500 Retailer: $12M Saved on Oracle Renewal Read case study →SAP · Manufacturing Manufacturing Group: $9.4M Saved on SAP S/4HANA Migration Read case study →PE Fund · Portfolio Due Diligence PE Fund: Due Diligence on 12-Company Portfolio Software Spend Read case study →

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