Front

My biggest takeaways from Meredith Finn, CFO and COO at Front: 1. Wearing the CFO and COO hats at once is like being the architect and the general contractor on the same house. The CFO draws the blueprints and estimates cost. The builder buys the materials and frames the walls. Running both means the person writing the headcount plan is the one who has to staff against it, so assumptions get pressure tested at the handoff. 2. The conflict between the two hats does not go away, and it should not. Front's AI spend is still growing about 25% week over week. CFO Meredith asks what the hard ROI is and when the spending stops. COO Meredith needs room to experiment before anything gets cut off. Together, Meredith tolerates more spend than she otherwise would, because she sees the operating results from the other seat. 3. Budget tokens off your frontier users, not off a growth curve. When Front rebudgeted in April, they broke AI usage down by individual and team, and found about ten people making up a third of the spend. Instead of extrapolating week over week growth, they forecast what it costs to get every engineer, designer, and PM up to that frontier level, plus a margin of error. 4. When several people build the same thing with AI, that should influence your company’s AI roadmap (but maybe don’t actually use what they built). Front handed AI tools to the whole company with almost no direction beyond “make your own job easier.” Eight people separately built discount calculators, all slightly different. Meredith treated that as a request: build it once, centrally, out of systems and IT, with the data team as the third leg, since agents cannot use your data without a semantic layer. 5. A new product inside a late-stage company is a seed-stage business, and should be graded like one. Front gets measured as a Series D company, on efficiency, repeatability, and expansion. Its new AI bets get measured on product adoption and customer engagement. Each one gets a fixed amount of capital and time, and gets no more until it hits its milestones, the way a seed company has to earn its Series A. 6. Ability to pay matters as much as willingness to pay. A manufacturing SMB and a venture-funded tech SMB have different margins and working capital needs, which changes what they pay and how they want to be billed. In usage-based AI pricing, your price has to beat what a human ticket costs that customer, which swings by where their support team sits geographically in the world. Full episode with Meredith drops Monday. Listen and subscribe wherever you get your podcasts! Apple: https://lnkd.in/eVspBr_J Spotify: https://lnkd.in/ecSZkRjB Youtube: https://lnkd.in/eaRN-6uU

How do you square the fact that AI is so powerful for the individual with the fact that most organizations don't see significant organizational acceleration? Greg Kihlstrom and I talked about how you actually have to restructure workflows so that AI can eliminate the handoffs and system switching that eats up so much time. Otherwise, just having individuals using AI can feel like stepping on the gas on a crowded street... doesn't help you get to the destination any faster. Watch here! https://lnkd.in/gPdvbriV

Most teams buy AI to move faster. Kevin Yang, Director of AI at Front, sees the opposite happen constantly: the tools land on top of a coordination problem, and the team gets slower. On the new episode sponsored by Front, I talk with Kevin Yang about the operational costs buried inside customer-facing work: the handoffs, the follow-ups, the "who owns this now", none of which appear as a line item anywhere. The reframe worth saving: → Automation applied to an unresolved workflow multiplies the places work can stall. → The cost you can't see is the one you keep paying. → AI inside the core workflow improves efficiency AND experience. AI beside it forces a trade. Front runs this for 9,000+ businesses, so Kevin has seen where it breaks. If you've deployed AI in a customer-facing team: did the coordination overhead actually go down, or did it just move somewhere you stopped measuring? Full conversation in the newsletter 👇 #CustomerOperations #AIWorkflows #CustomerExperience