AI Implementation Strategies: Finding the Biggest Business Wins

When businesses ask where to implement AI first, we evaluate workflows through three distinct approaches.

𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵

This targets pain points where multiple stakeholders feel the impact daily. We applied this with Gain, developing an SOP agent that eliminated more than 80 hours per week previously spent on non-routine queries.

𝗧𝗵𝗲 𝗘𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗥𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗪𝗼𝗿𝗸 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵

This targets manual, rote tasks performed repeatedly. If humans currently handle these processes, there's already acceptance of imperfect outcomes - meaning AI's occasional imperfections won't necessarily introduce new risk.

𝗧𝗵𝗲 "𝗪𝗵𝗮𝘁'𝘀 𝗡𝗼𝘁 𝗕𝗲𝗶𝗻𝗴 𝗗𝗼𝗻𝗲" 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵

This identifies required tasks that get deprioritized due to competing demands. Sales CRM updates exemplify this perfectly - sales reps understand the importance of updating contact information but often deprioritize it because it doesn't directly generate revenue. AI can extract information from emails, calls, documents, and other sources and maintain CRM accuracy automatically.

Most organizations will find examples across all three categories, but one pattern typically dominates their operational challenges. 

Identifying which pattern represents your biggest pain point will show you where AI implementation could deliver the most immediate impact.

The companies succeeding with AI aren't those with the most sophisticated technology - they're the ones who identified the right problem to solve first.