Most AI initiatives in Private Equity don’t fail because of the technology.
They fail because of 𝐡𝐨𝐰 𝐰𝐨𝐫𝐤 𝐢𝐬 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝.
After looking at multiple portfolio companies, a pattern emerges: a use case is identified, a tool is implemented, a team is “enabled”… and then nothing really changes.
Why?
𝐀𝐈 𝐢𝐬 𝐚𝐩𝐩𝐥𝐢𝐞𝐝 𝐭𝐨 𝐭𝐚𝐬𝐤𝐬. 𝐁𝐮𝐭 𝐯𝐚𝐥𝐮𝐞 𝐢𝐬 𝐜𝐫𝐞𝐚𝐭𝐞𝐝 𝐢𝐧 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬.
Take a simple example: you automate document extraction. Great.
But approvals are still manual, data isn’t reused downstream, and decisions remain inconsistent.