AI Live Chats: Show Me the ROI

In this third LinkedIn Live AI chat, Kelsey and Todd discuss how to define and prove AI ROI, arguing many AI projects fail due to poorly defined returns beyond simple time-savings. They distinguish AI activity from AI value, stressing goal-driven, iterative adoption and measurable milestones executives and CFOs can trust—typically cost savings (growth without headcount) or revenue impact (more leads, faster launches, higher win rates). They walk through ROI approaches for practical scenarios including SOP creation and searchable copilots, marketing email HTML generation, new-hire self-serve process help, AI-assisted RFP drafting, job descriptions and onboarding templates, automated revenue-report narratives, customer success call recaps, contract review prep, and meeting-to-action-item pipelines, emphasizing reduced rework, fewer dropped tasks, better decisions, improved customer satisfaction and retention, and lowered legal and operational costs.00:00 Live Chat Kickoff00:14 Defining AI ROI01:39 Activity Versus Value02:33 Proving ROI to CFOs04:19 Measuring After the Fact06:04 ROI Scenario Challenge06:42 SOPs and Process Consistency09:36 Marketing Email Automation10:49 Onboarding and New Hire Support12:53 Sales RFP Drafting13:58 HR Docs and Consistency15:44 Finance Reporting Summaries18:55 Customer Success Recaps20:27 Legal Contract Review22:06 Meeting Actions and Accountability24:00 Todd’s ROI Tips26:02 Wrap Up and Next Episode