𝗧𝗛𝗘 𝗔𝗜 𝗔𝗗𝗢𝗣𝗧𝗜𝗢𝗡 𝗖𝗨𝗥𝗩𝗘: 𝗪𝗛𝗬 𝗠𝗢𝗡𝗧𝗛 𝟯 𝗦𝗧𝗔𝗟𝗟𝗦

𝗧𝗛𝗘 𝗔𝗜 𝗔𝗗𝗢𝗣𝗧𝗜𝗢𝗡 𝗖𝗨𝗥𝗩𝗘: 𝗪𝗛𝗬 𝗠𝗢𝗡𝗧𝗛 𝟯 𝗦𝗧𝗔𝗟𝗟𝗦

AI pilots work. AI rollouts stall. The gap is a management problem. Not a tech problem.

The pattern repeats:

• Month 1: High energy. Results look good.
• Month 3: Growth stops. People go back to old ways.
• Month 6: The project is a ghost.

Pilots succeed for reasons not found at scale. Pilot users are excited. They love new tools. Pilot users get the most help. Pilot users work in perfect conditions.

Mainstream users are different. They did not ask for the tool. Their old workflows work well enough. They have low patience for friction.

The biggest killer is neutral middle management. If managers do not lead, teams do not follow. Managers need a reason to care.

Fix your strategy with these steps:

• Set use cases for each team before launch.
• Track manager use separately from staff use.
• Create a fast loop for user feedback.
• Set checkpoints at 30, 60, and 90 days.

Stop focusing only on the model or the prompt. Focus on the people. Plan for resistance in month two. No plan for managers means a stalled rollout.

Source: https://dev.to/sumaskeller/the-ai-adoption-curve-nobody-talks-about-why-month-3-is-when-most-rollouts-stall-3g02 Optional learning community: https://t.me/GyaanSetuAi