LinkedIn·Thursday, 30 July 2026·27d ago

Malt featured my case study last week. The stat they led with: 𝟵 𝗼𝗳 𝗺𝘆 𝟭𝟮 𝗔𝗜 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗶𝗲𝗱. Over the past 6…

Andrea Balducci

Fractional Revenue Operations & AI Builder @ SiSu | ex. Sortlist (Deloitte Fast 50 winner)

Malt featured my case study last week. The stat they led with: 𝟵 𝗼𝗳 𝗺𝘆 𝟭𝟮 𝗔𝗜 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝘀 𝗱𝗶𝗲𝗱. Over the past 6 months I built 12+ automation projects for revenue teams. Only 3 survived the real-world adoption check. And I mean the check that matters: is anyone still using this 6 weeks later. The ones that died had one thing in common. I built them because I could, not because the team was ready to change how they worked. The one that thrives is a meeting prep agent. It pulls from LinkedIn, the CRM and the web (including scraping career pages to spot active hiring) and drops a brief before every call. 𝟮𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝘀𝗮𝘃𝗲𝗱 𝗽𝗲𝗿 𝗿𝗲𝗽, 𝗽𝗲𝗿 𝗱𝗮𝘆. Zero behavior change required. The value lands inside a workflow that already exists. That is the shift I keep repeating to clients: 𝗖𝗼𝗱𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗮 𝗰𝗼𝗺𝗺𝗼𝗱𝗶𝘁𝘆 𝗻𝗼𝘄. Anyone can ship a working prototype in days (hours?). The scarce skills are business judgment (building the right tool) and change management (making it land in the team's existing routine). And related to that: distribution, stickiness/retention, etc Everyone asks if AI will take their job. Wrong question. Ask which tasks you'd happily never do again, then automate those. 𝗜𝗳 𝘆𝗼𝘂'𝘃𝗲 𝘀𝗵𝗶𝗽𝗽𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀: what killed adoption on your side? #RevOps #AI #GTM #ChangeManagement