Blog
Insights on AI customer support, product updates, and building smarter support experiences.
Customer Health Signals in Support Data: What They Are and Why They Matter
Customer health signals in support data are behavioral indicators — embedded in ticket frequency, tone, and patterns — that reveal whether a customer is trending toward renewal or churn. This article explains what these signals are, why most B2B support teams overlook them, and how surfacing them can transform reactive support into a proactive retention and growth strategy.
Matt Pattoli
Business Intelligence from Support Tickets: The Hidden Data Layer Your Team Is Ignoring
Most B2B teams treat support tickets as noise to be cleared quickly, but every ticket is high-signal customer data revealing product friction, revenue opportunities, and engineering priorities. This article shows how to extract Business Intelligence From Support Tickets and turn your support queue from a cost center into a strategic data layer.
Matt Pattoli
Conversational AI Customer Service Pricing: What You're Actually Paying For
Conversational AI customer service pricing is notoriously opaque, with vendors using wildly different billing models — per seat, per conversation, or per resolved ticket — and burying integration and overage costs in the fine print. This guide breaks down every major pricing structure, exposes the hidden fees that inflate real-world costs, and gives you a practical framework for evaluating proposals with confidence.
Grant Cooper
Why Support Agents Spending Time on Simple Tickets Is Costing You More Than You Think
Support agents spending time on simple tickets — password resets, invoice lookups, repeat account issues — is one of the most overlooked cost drivers in SaaS and B2B support operations. This article breaks down the true financial and human cost of routing predictable, low-complexity tickets to skilled agents, and outlines how modern support teams are escaping the cycle.
Grant Cooper
Customer Support AI Security Concerns: What Every B2B Team Needs to Know
Customer support AI security concerns are a legitimate part of due diligence for any B2B team considering AI-powered support tools — not a reason to avoid them entirely. This guide breaks down the real risks, clears up common misconceptions, and provides a practical framework for evaluating vendors and deploying AI support with proper governance in place.
Matt Pattoli
Customer Support Night Shift Coverage: How Modern B2B Teams Stay Available 24/7
Customer support night shift coverage has become a critical operational challenge for B2B SaaS teams serving global customers across time zones. This article breaks down the real staffing models, workflows, and strategies support leaders can use to stay available 24/7 and prevent costly overnight ticket gaps from damaging customer relationships.
Grant Cooper
9 Best Support Automation Software Trials Worth Your Time in 2026
Choosing a support automation software trial is hard when feature sets vary and trial windows are short — this guide evaluates nine leading platforms on setup ease, AI depth, integration flexibility, and speed to results, so you can confidently pick the right tool for your team in 2026.
Matt Pattoli
How to Scale Customer Service Without Scaling Your Headcount
Growing support volume doesn't have to mean growing your headcount. This guide walks B2B SaaS teams through a practical seven-step framework for scaling customer service using AI-powered infrastructure — so you can handle more tickets, reduce response times, and improve customer satisfaction without burning out your team.
Grant Cooper
How to Build AI Customer Service: A Step-by-Step Guide for B2B Teams
This guide walks B2B support teams through how to build AI customer service using large language model-powered agents — covering setup, escalation logic, and iteration — so they can handle routine tickets autonomously and scale support without growing headcount.
Matt Pattoli
Customer Support Best Practices for Automation: A Step-by-Step Implementation Guide
This guide delivers a repeatable, step-by-step framework for customer support best practices automation — helping support teams identify what to automate, build the right workflows, and measure results that scale without degrading the customer experience. Whether you use Zendesk, Freshdesk, Intercom, or a purpose-built AI platform, you'll leave with a strategy your team can implement and continuously improve.
Grant Cooper
9 Best AI Customer Support Tools for Mobile Apps in 2026
This guide evaluates nine AI customer support for mobile apps platforms on the criteria that matter most to mobile-first product teams — in-app chat, SDK availability, automation depth, and integration ecosystems. Whether you run a lean startup or a scaling B2B SaaS product, it pinpoints the right tool to deliver instant, intelligent support and protect your ratings and renewals.
Matt Pattoli
Proactive Support: Boost B2B SaaS ROI in 2026
Implement proactive support for B2B SaaS in 2026. Discover AI workflows, ROI, key metrics & Halo AI to reduce churn effectively.
Grant Cooper