How Sendivo scaled 24/7 customer support across the US without adding a single agent

Sendivo is a high-performance B2B SMS delivery platform purpose-built for local businesses and the agencies that serve them. Designed to handle serious message volume (from small business operators all the way up to enterprise-scale teams sending millions of messages per day), Sendivo differentiates itself through direct-carrier connections, optimized delivery routing, and transparent usage-based pricing at a fraction of the cost of traditional aggregators.

The platform integrates with leading automation and CRM environments including GoHighLevel, enabling local businesses to run sophisticated SMS campaigns without the throttling and delivery unpredictability that plagues most Tier-2 SMS providers. Whether a client is sending appointment reminders, promotional messages, or transactional alerts, Sendivo is engineered for speed, reliability, and cost efficiency.

With a growing customer base across the United States and a product built for operational intensity, Sendivo's support team faced increasing pressure to keep pace with their customers' expectations for fast, knowledgeable assistance, without the luxury of a large headcount to draw from.

As Sendivo's client base grew across the United States, its small but capable support team found themselves increasingly overwhelmed. The core problem was structural: a lean team was being asked to cover more hours, more questions, and more complex use cases, without a clear path to scaling support sustainably. Hiring additional agents to cover new time zones felt like treating a symptom rather than the disease.

1. Small team, expanding coverage demands
As Sendivo expanded into new US time zones, their existing support staff were stretched thin trying to maintain reasonable response times outside of core business hours, leading to gaps in coverage and rising average response times.

2. No structured self-service path
Customers had no easy way to find answers on their own. Without a proper help center or AI-assisted chat, every question (from basic setup to technical troubleshooting) required a live agent response, creating unnecessary ticket volume.

3. Hiring was not a scalable solution
Adding headcount to cover new time zones introduced significant cost and operational complexity. Sendivo needed technology to extend their team's capacity, not more people doing the same repetitive work across more hours.

4. No eCommerce-style portal fit their model
Traditional self-service portals are built around eCommerce order management. As a B2B SMS platform, Sendivo needed an AI-powered support experience embedded directly within live chat, one trained on their own help documentation, not generic retail flows.

Sendivo chose Mech as their comprehensive support platform, deploying both the Help Desk and Live Chat modules to address their coverage and efficiency challenges simultaneously. Rather than relying on a traditional eCommerce self-service portal, Mech's AI agent was trained directly on Sendivo's own help center content, allowing it to handle inbound live chat inquiries with the same depth and accuracy as a knowledgeable human agent.

Critically, Mech's macro system allowed the Sendivo team to build out a library of dedicated, language-based response templates for their most common support scenarios. These saved replies gave agents the ability to respond to high-frequency questions in seconds rather than composing responses from scratch, directly targeting the response time problem that had been building as the team's coverage area expanded.

The impact of switching to Mech was immediate and measurable. The combination of a live-chat-embedded AI agent and a purpose-built macro library fundamentally changed the pace and quality of Sendivo's customer interactions.

Average first response time dropped from 14 minutes to under 2 minutes, a more than 7x improvement driven largely by the macro library. Agents no longer spent time writing individual responses to the same recurring questions. With the right answer one click away, every conversation moved faster from open to resolved.

The AI agent operating inside live chat handled the overnight and weekend coverage that previously fell on the team's shoulders, ensuring that Sendivo's customers across every US time zone received a meaningful first response within seconds, even when no agent was available. Rather than expanding the team to cover expanded hours, Sendivo scaled their support capacity through automation, keeping costs flat while dramatically improving the experience they delivered to their customers.