Skan AI

I'm thrilled to share that I've joined Skan AI as Chief Marketing Officer, on the heels of our Series C. I've always been drawn to shaping what's new. New technologies before they're obvious. New markets before there's a category name. New ways of driving growth before there's a playbook. That purpose is exactly what drew me to Skan AI. In the end, it came down to three things: The people: Every conversation I've had here, with engineers, product, sales, marketers, leaders across the business, has reinforced that this is a team of deep thinkers who are humble, entrepreneurial, and intensely focused on solving real problems for customers.  The customers: Some of the leading, most regulated enterprises in the world trust Skan AI to run agentic AI on their most critical workflows, seven of the ten largest US banks among them. And the market moment: Every company is deploying AI right now, and figuring out how to make it actually work, at the scale a real business runs at. This is one of the most exciting and meaningful challenges to be solving with our customers today. Skan is tackling how teams and agents can work together reliably, and I believe we’re at the beginning of something much bigger.   I'm excited to be working alongside a world-class team to help fuel the company's next chapter of growth, and grateful to Avinash Misra and Manish Garg for the trust to drive the mission forward.   I'm building out the team now across product marketing, customer marketing, partner marketing, communications, and growth. If any of that sounds like you, I'd love to talk.   To my teammates, partners and customers, I look forward to making great things happen together. 👉 Read the announcement: skan.ai/series-c

𝗧𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘄𝗲 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗮𝗻𝘀𝘄𝗲𝗿 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗯𝗮𝗻𝗸𝗶𝗻𝗴 When I was at Bank of America, we struggled with two AI questions:  👉 Who's accountable for what AI does once it's deployed?  👉 How do we know it keeps taking the right actions once we run it at scale? Those same questions sit underneath much of the AI agenda at Sibos in Miami next week. Banks have finally broken through the deployment barrier. But most of the pilots and vendor solutions adopted along the way have yet to deliver something a bank would trust to run a real, regulated workflow. What's missing is operational context. Before you build and deploy agents, you need to see how the work actually gets done, beyond what documentation and SME interviews tell you. If your teams can't see the variants and exceptions in how a payment or a loan gets handled, your agents can't see them either. In my latest article, I look at what that means for operations leaders who need AI to move the P&L, and for anyone who owns risk, controls, or compliance and needs continuous visibility before agents enter regulated workflows. It draws on what we've seen fall short in enterprise banking and what's working at 7 of the 10 largest US banks. These are the conversations I'll be having with delegates at Sibos. If your team is stuck between AI deployment and impact, come and find me at the Skan AI booth (DISM 06). In the meantime, I'd like to hear how these challenges look from where you sit. 

I’ve spoken to dozens of carriers and all are deploying AI. For most, the impacts to date have been localized to specific tasks or decisions. The next wave of agents handle complex workflows like underwriting or claims end to end – these agents drive orders of magnitude impact on cost, TAT and quality. This is not an easy bar to clear, and I'm going to share more about how my team at Skan AI is helping insurers get there at ITC Vegas next week. But the short version is this: your process understanding is the limit to your automation.