Posts in Post
Enterprise AI Needs a World Cup-Level Game Plan
In the World Cup, talent matters. But talent alone does not win. The best teams do not[…]
The AI Materiality Test
The AI Likelihood Test asks whether an AI exposure appears reasonably likely. The next test asks whether[…]
The AI Likelihood Test
Enterprise AI oversight should not stop at whether a system is governed. It should ask whether the[…]
AI ROI Is Incomplete Without Reasonably Likely Exposure
Most AI business cases are 𝐨𝐧𝐥𝐲 built around upside: productivity gains, faster workflows, lower labor costs, better[…]
Reasonably Likely: The Two Words That Should Change AI Oversight
The most important AI risk question may not be technical. It may be accounting: 𝐈𝐬 𝐭𝐡𝐞 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞[…]
AI Changes Ahead: Risk, Contingency, Blind Spot
AI exposure should not be treated as a new category of risk immune from accounting discipline. If[…]
Cart Before The Horse (Post 3/3 – Enterprise AI Action)
The next phase of enterprise AI maturity should be financial. Legal and vendor behavior already points in that[…]
𝐂𝐚𝐫𝐭 𝐁𝐞𝐟𝐨𝐫𝐞 𝐓𝐡𝐞 𝐇𝐨𝐫𝐬𝐞 (𝐏𝐨𝐬𝐭 𝟐/𝟑 – 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐈𝐧𝐬𝐢𝐠𝐡𝐭)
The core issue is not that enterprises lack AI governance. The issue is that governance is not the same as financial[…]
𝐂𝐚𝐫𝐭 𝐁𝐞𝐟𝐨𝐫𝐞 𝐓𝐡𝐞 𝐇𝐨𝐫𝐬𝐞 (𝐏𝐨𝐬𝐭 𝟏/𝟑 – 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐏𝐫𝐨𝐛𝐥𝐞𝐦)
Most major enterprise technologies mature alongside financial methods for pricing, transferring, benchmarking, and accruing/reserving against risk. 𝐀𝐈 𝐢𝐬 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐥𝐲.[…]
New Year = New AI Law, CA SB 53
Happy New Year! New laws are taking effect as of January 1, including California SB 53.https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202520260SB53SB 53 requires frontier[…]
Finance in Enterprise AI: Pay For All
Responsibility without visibility… Has your CIO, CTO, or AI officer assumed your fiduciary responsibility too? Then, why is there no priced risk on any AI[…]
Finance in Enterprise AI: Stay-out or All-in? Neither
CEOs & Boards want the CFOs to get more involved with AI. CIOs & CTOs want more AI budget for their Data Science-packaged AI investments. GCs want their[…]
Finance in Enterprise AI: Regulation Overload
Reality check: ~100 state regs, ~1000 state bills, and Presidential EOs. Focus on finance. CA SB53 brings prices to critical[…]
James Wu Joins Indemnify AI
Indemnify AI, Inc., the vanguard in AI financial risk quantification and benchmarking, is pleased to announce that[…]
Dr. Agus Sudjianto Joins Indemnify AI
Indemnify AI, Inc., the vanguard in AI financial risk quantification and benchmarking, is pleased to announce that[…]
Many executives are getting “86’d” by AI, and not just from automation
From billion-dollar market cap losses to wrongful arrests, #AI failures are triggering real-world consequences. Dozens more cases[…]
Dr. Satyam Priyadarshy Joins Indemnify AI to Enrich AI Risk Financial Quantification
Indemnify AI, Inc., the vanguard in AI financial risk quantification and benchmarking, is pleased to announce Dr.[…]
Introducing The AI Bleederboard™: The definitive source ranking financial cost of AI failures
FOR IMMEDIATE RELEASEJune 27, 2025, 8am PT Indemnify AI, Inc. announces the launch of Bleederboard.AI, the first-of-its-kind[…]
The AI Liability Curve
The AI Liability Curve: The Efficient Framework to Quantify AI Risk As AI advances, so does the[…]
Join: CFO Role in AI – Foundational Framing
Webinar – June 4th, 2025 8:30-9am PT Register at bit.ly/3H4D9S2 #ai #risk #riskmanagement #strategy #CEO #CFO #President[…]
Lo$t in Translation: Is the AI jargon juice worth the squeeze?
Must a CEO stay fluent on each & every #AI component? Know the ins & outs of[…]
Indemnify AI Welcomes Pete Graner!
Indemnify AI welcomes Pete Graner, a powerhouse addition to our Technical Advisory Board! With a distinguished record[…]
𝐀𝐈 𝐑𝐢𝐬𝐤 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠: Quantifying Risk for Profitable LLM Deployment
𝐀𝐈 𝐑𝐢𝐬𝐤 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠: Quantifying Risk for Profitable LLM Deployment 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄Large Language Models (LLMs) are revolutionizing industries—but adoption[…]
𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐀𝐈 𝐑𝐢𝐬𝐤 𝐢𝐬 𝐭𝐡𝐞 #𝟏 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐟𝐚𝐜𝐢𝐧𝐠 𝐜𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨𝐝𝐚𝐲
Enterprises face significant AI profitability challenges, especially in risk quantification and benchmarking. Corporations require a structured process[…]