Stuut

Voice can feel like an old medium in B2B software. Why bother with calls when you can message? Why bother with call centers when you can have structured data input into forms? Well, we see voice as a powerful application of AI, a means to reduce friction for the customer, expand the surface area of opportunities for a business, and ultimately play an important role in establishing the new guard systems of record. A few examples we're seeing in the real world today: Stuut (accounts receivable automation.) Tarek and the team have launched AI calling functionality where Stuut's agent payers, is able to securely pull all relevant information from disparate systems, and can execute on bill payments. Stuut is already seeing strong outcomes and major lifts in NPS for their customers (after all, it can be a little awkward speaking to another human about a bill). Avoca AI (vertical AI for HVAC, electrical, & plumbing). Apurva and Tyson are rapidly scaling AI agents to drive new revenue for their customers. One job for an HVAC business can be $30k+ in value and job schedules can be tight - every missed opportunity is very costly. Avoca's platform is closes leads across all channels, connects systems across the value chain, but also coaches reps (think vertical Gong) to train existing sales personnel. Sana - enterprise knowledge management. Joel and the Sana team are using call and meeting recordings to supplement data in an enterprise's knowledge base. By taking note of all the unstructured information shared in internal meetings, rich data can be automatically added. We see some common themes in the best AI platforms: 🔹They're not just customer support / call centers, they're drivers of net new revenue or value (in addition to customer support). 🔹 They don't just offer voice, but offer context. They connecting disparate systems and data on the backend and add previously unstructured data from calls. 🔹 They earn trust either by announcing to the customer that they are an AI agent, or by elegantly announcing they're in the meeting. No customer wants to be babied on AI, and trust is everything in external and internal relationships. 🔹 They elevate humans to provide the elite customer experience by focusing them on the highest value areas, providing context, and training reps. Humans are great at establishing relationships with other humans, and if we play this out the baseline will rise to feel everyone has high status. 🔹 They earn (or are in the process of earning) not just read but write access to existing systems (e.g. pre-filling the CRM), and more importantly create net new data to earn the right to be a new system of record. We're spending a lot time on the emergence of new systems of record and as a follow up to our initial research piece on conversational AI: https://lnkd.in/ePQHJ-8t If you're applying voice AI to your platform or have seen cool examples, please reach out, we'd love to chat