The Secret to Scaling Enterprise AI Support Beyond Your Team's Reach

You've got a vision for customer success, but your internal developers are building internal tools that are hard to use and constantly break. I've seen this scenario too many times. You're trying to keep up with modern customer expectations, yet your support tech feels archaic. That's a huge problem. This disconnect means your customers aren't getting the fast, personal help they expect, and it's directly impacting your retention numbers. We can fix that.

Building a custom AI voice or video assistant like Voxaro isn't just about throwing an LLM into an app. It involves complex real-time audio and video streaming, deep LLM workflows, and a backend that can handle millions of interactions without breaking. Most internal teams simply don't have this specialized senior-level engineering skill set. I’ve built audio streaming pipelines and integrated advanced AI models. It’s a different kind of challenge, one that requires unique experience.

Support tech that feels '1990s' drives 8 to 12% annual churn in enterprise telecom. On a $25M ARR book, that's $2M to $3M in preventable revenue loss each year. Every quarter you don't solve this, your department burns $500k in avoidable churn and erodes your standing with the executive team. A $150k AI support upgrade pays for itself in under three months. The cost of doing nothing is simply too high.

Many leaders focus only on the AI model and forget the infrastructure. They underestimate the need for solid backend systems, real-time performance optimization, and truly empathetic AI design. I've seen projects fail because they didn't account for things like Core Web Vitals or how to make an AI assistant sound genuinely human. It's about engineering the whole experience, not just the chatbot script. That's what makes the difference.

Bringing in a senior, product-focused engineering partner means you get someone who can architect and build end-to-end AI solutions. I've handled complex database designs and modernizing legacy platforms. This ensures your AI isn't just a gimmick. It's a reliable, human-like voice for your customers. For example, my work on the Voxaro-App involved a complete calling solution for real estate. This level of experience means your AI support will actually sound human and empathetic.

You don't have to settle for '1990s' support tech or internal teams that can't deliver. The path to a world-class AI customer success platform starts with identifying a partner who understands both product and deep engineering. I help founders scope MVPs pragmatically and avoid over-engineering. It's about shipping complex products without excuses. You need a partner who can get it done right, the first time.