Original Summary

Hey everyone, I am doing some market research into B2B workflows and API inefficiencies to understand where modern software is still falling short. Based on some initial developer and agency interviews, I’ve mapped out 8 specific operational bottlenecks. If you operate in the AI, local agency, or traditional service sectors, I would love to get your unvarnished feedback on which of these areas actually causes the most friction for your team: 1. AI & LLM Infrastructure Inefficiencies Monitoring and optimizing unpredictable API spend/costs across multiple models. Handling data governance, security compliance, and user prompts at an enterprise level. Structuring adaptive, personalized learning paths in ed-tech applications. 2. Service & Local SMB Operations Managing reconciliation and multi-channel payment tracking for Indian service providers. Operating end-to-end field workflows entirely through WhatsApp interfaces. Managing the end-to-end quote, dispatch, and final invoicing loop for home service technicians. 3. Professional Services & Agency Overhead Chasing clients for documents and outstanding fees in accounting/CA firms. Managing and scaling Google Business Profile reviews across dozens of local client accounts. For the founders and operators here: Do any of these match a genuine bottleneck you deal with weekly, or are these problems already solved by existing tools in your stack? If you’ve built custom internal fixes for any of these, I’d love to hear how you approached it.   submitted by   /u/Equivalent_Citron884 [link]   [comments]

  • 情报分类：工作与职业机会
  • 分类依据：内容涉及招聘、求职或职业发展
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/27 03:06:17