Indemnify AI provides a platform that converts technical and ethical AI risks into monetary values, allowing CFOs and risk officers to price, benchmark, and manage AI deployments as internal insurance policies. The solution combines a ten‑week consulting engagement to define risk‑approval workflows with a risk‑pricing engine that generates standardized financial risk reports and policy guidelines for enterprise AI projects.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI lack a quantitative method to assess the financial exposure of model failures, leading to inconsistent risk oversight and difficulty justifying AI projects to finance leaders.
Solution
Indemnify AI offers a platform that translates technical and ethical AI risks into monetary values, enabling CFOs to price, benchmark, and compare AI initiatives as internal insurance policies. The service combines consulting engagements to define risk‑approval workflows with software tools that calculate risk premiums and generate standardized risk reports. By providing clear financial metrics, the solution aligns innovation teams with corporate risk management, supports cross‑departmental decision‑making, and equips executives to disclose AI‑related financial impacts in earnings statements.
Target Audience
Primary customers are enterprise finance leaders (CFOs) and risk officers, as well as technology and data teams responsible for AI deployments within large organizations.
Features
- Structured ten‑week consulting engagements to capture stakeholder requirements and produce a detailed Product Requirements Document for AI risk management
- Codified AI risk approval workflows that automate policy enforcement and reduce bottlenecks across CIO, CTO, and data science teams
- AI risk pricing engine that quantifies potential harm and produces benchmarkable monetary estimates for each AI deployment
- Comparative benchmarking library allowing CFOs to evaluate new projects against internal “insurance‑style” risk baselines
- Policy generation tools that translate risk pricing outcomes into actionable deployment guidelines and governance documents