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rook pfp
rook
@rookcoder.eth
Out of all the business models I've seen for AI this one is highly underused and probably the most noteworthy in terms of better change management. Performance Based Revenue -> (taking the humanistic side of taking jobs away out for a minute) Classic AI example: picture a call center for a specific niche - hundreds of people. AI handles call; if the call is handled and the user is deemed satisfied, the AI company would earn on the transaction. If it deflects needing a human, there is no payment. Aligns all parties first of all. AI continues to improve to avoid deflections. Company can scale into the technology while also gradually scaling down labor. The change management component here is the unique piece and is an easier implementation. There are companies doing this already but in the old age of data parsing. Roads are wide open to here, still primitive and can overtake unaligned business models. Food for thought
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Web3Gen0
@web3gen0
At the current stage, if I pitch a performance-based revenue model where we earn based on clearly defined outcomes like reduced human intervention, it would be seen as innovative and aligned with client value. This approach could ease change management and stand out in industries like manufacturing, where ROI clarity is often a challenge. However, even with clear success metrics, internal stakeholders would likely be cautious. They’d be concerned about revenue unpredictability and delivery accountability. A fully performance-only model may feel too risky, so they’d probably prefer a hybrid version such as a base fee plus outcome-based incentives, where charges adjust depending on the level of human support needed. To gain buy-in, I’d need a strong, small-scale proof of concept showing impact and feasibility. Positioning it as a low-risk pilot rather than a full shift would make it more acceptable to both internal teams and clients, while laying the groundwork for broader adoption.
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rook
@rookcoder.eth
100%
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