Stuut

Have your ‘Days Sales Outstanding” (DSO) increased in this high interest rate economy, negatively impacting your working capital? AI agents are redefining the debt collection industry by automating routine tasks, improving customer engagement, ensuring compliance, and empowering customers with self-service options. As AI technology continues to evolve, its role in debt collection will only grow, offering more opportunities for efficiency, cost savings, and improved customer experiences. I just had an incredible demo with Ben Winter COO and Co-Founder of Stuut, one of our key business partners, highlighting how one company deployed AI agents in their debt collections process, reducing the number of days to get paid from 41 days to 14 days - that’s a 151% improvement. Stuut's onboarding time is 4 days with all major systems as 1-click integration. Using an AI agent to map fields across different systems (CRM, ERP, Invoicing, Bank, etc.), and they are SOC 2 Type II certified. Are you ready to unleash the power of AI agents to transform your debt collection, streamlining operations, improving customer engagement, and ensuring compliance with regulatory standards. Let's talk michele@cardiffmartech.com and finish Q4 2024 with an improved speed to close and lower DSO!

Over the last year, we've seen AI deliver some clever "slingshots" or wedges into vertical SaaS - the key thing to becoming David with his magical slingshot and effectively taking down the existing Goliaths, will be building a system of record and the workflows around it. The "slingshots" we're typically seeing look like: 1) Voice - e.g. assisting in screening inbound and generating outbound calling 2) Transcription - e.g. helping record notes 3) Workflow automation - e.g. filling out forms and reports, document processing 4) Lead generation - e.g. creating emails and other messages, marketing campaign content All of these are simple, add- on tools - easy to adopt by a business, familiar work with minimal onboarding/training needed. And often 100% accuracy isn't always required (or can be checked). They are magical to their customers as they assist or even replace human labor. We're seeing these AI companies grow quickly - it's like magic to their customers and everyone wants to try AI! These slingshots are vertical-specific - trained on vertical data (e.g. legal precedent, accounting rules) and/or customized workflows and integrations (e.g. into the TMS or EHR ecosystem). Their customers don't have the resources to take horizontal AI tools to build and maintain custom software. We've seen a number of startups begin with a horizontal approach across industries, end up verticalizing here. But they can have a big, positive impact on their customers' P&L especially for: 1) an SMB where the labor cost would have been and felt directly by the owner (e.g. a doctor's office) 2) industries where there are lots of people employed or BPOs used (e.g. freight brokerage, insurance claims processing). So what does it take for these slingshots to be well-aimed and turn into defensible "operating systems"? They are coming up against ingrained Goliath systems with broad feature sets. That said, they are collecting *ground truth data* on the business. This is the underlying data on customers, their interactions and preferences, performance of the business - the data that employees often used to manually key into an ERP or CRM, then extract to understand the business. It’s all automatically available, in real-time ideally! With the right workflows from there, the AI wedge + the data enable these new companies to compete.

"What I’m looking for in a founder, above all, is someone flexible in their tactics but obstinate in their vision." Vinod Khosla Read his advice for young entrepreneurs in "Letters to a Young Founder" by The Generalist https://lnkd.in/gHV6Eec2