Blog
Insights on AI customer support, product updates, and building smarter support experiences.
How to Track Customer Health From Support Data: A Step-by-Step Guide
Tracking customer health from support data transforms your help desk from a reactive problem queue into a proactive early-warning system for churn and growth opportunities. This step-by-step guide shows B2B teams how to analyze ticket volume trends, sentiment shifts, and topic clusters across accounts to build living health scores that surface at-risk customers before problems escalate.
7 Proven Strategies to Slash Support Team Hiring Costs Without Sacrificing Quality
When support team hiring costs are too high, the real culprit is often a cycle of high turnover, hidden onboarding expenses, and reactive headcount decisions that compound over time. This guide outlines seven proven strategies to break that cycle and reduce per-hire costs without compromising the quality of customer support your team delivers.
How to Identify Product Bugs From Support Tickets: A Step-by-Step Guide
Identifying product bugs from support tickets requires a systematic framework to separate real defects from user errors and feature requests buried within high-volume support queues. This step-by-step guide gives B2B product and support teams a repeatable process for transforming noisy ticket data from tools like Zendesk and Intercom into reliable bug intelligence before critical issues slip through the cracks.
9 Best Support AI Tools for B2B Companies in 2026
Discover the 9 best support AI for B2B companies in 2026, covering platforms built to handle complex technical tickets, deep integrations, and autonomous resolution—helping teams scale efficiently without sacrificing the high-stakes service quality B2B customers demand.
9 Best AI Support Software to Purchase in 2026
This guide evaluates nine leading ai support software purchase options for 2026, scoring each platform across AI resolution capabilities, integration depth, analytics, pricing transparency, and deployment ease. Whether you're replacing a legacy helpdesk or building an AI-first support stack, this breakdown helps B2B teams identify the right solution for their specific use case and budget.
9 Best Customer Service AI Tools With Free Trials in 2026
Explore the 9 best customer service AI tools offering meaningful free trials in 2026, so teams can evaluate resolution quality, integrations, and ROI before committing. This guide covers top platforms with trial periods ranging from 7 to 30 days, helping businesses find the right customer service AI trial that fits their workflow and scales with growth.
How to Get Started with AI Customer Support: A Practical 6-Step Guide for B2B Teams
B2B support teams ready to get started with AI customer support can follow this practical 6-step framework — from auditing current operations to launching and measuring an AI agent — without disrupting existing customer experiences. The guide covers everything teams need to deploy AI effectively, whether managing a lean setup or an established support org on platforms like Zendesk or Intercom.
8 AI Customer Support Best Practices That Actually Move the Needle
Implementing AI customer support best practices effectively separates companies that see real ROI from those that struggle with poor adoption and customer frustration. This guide covers eight actionable strategies for deploying and optimizing AI support agents that resolve complex tickets, improve customer experiences, and free human teams to focus on higher-value work.
How to Build a Support Ticket Automation Workflow From Scratch
Building a support ticket automation workflow helps growing B2B companies reduce manual triage, accelerate response times, and free support teams to focus on complex customer issues. This guide covers how to move beyond basic rule-based systems toward AI-powered workflows that understand natural language and adapt to context, giving you a practical blueprint for implementation from scratch.
Measuring Customer Support Efficiency: The Metrics, Methods, and Mindset That Actually Matter
Measuring customer support efficiency goes beyond tracking ticket volume and handle times — true efficiency means evaluating the ratio of resources invested to meaningful outcomes like resolution quality, customer retention, and team sustainability. This guide helps B2B support leaders identify the right metrics and mindset to avoid optimizing for activity over impact, so faster numbers on a dashboard don't mask growing churn and disengaged customers.
Benefits of AI in Customer Service: How Intelligent Automation Transforms Support Teams
The benefits of AI in customer service go far beyond basic chatbots—modern AI agents help B2B support teams handle rising ticket volumes, deliver faster resolutions, and maintain consistent quality without expanding headcount. This guide explores how intelligent automation augments human agents across speed, scalability, and business intelligence to transform support operations.
Customer Support Knowledge Gaps: How to Find, Fix, and Prevent Them
Customer support knowledge gaps — missing, outdated, or inaccessible information that prevents agents from resolving tickets efficiently — are a leading but often overlooked cause of slow resolution times and declining CSAT scores in B2B SaaS companies. This guide explains how to identify where knowledge gaps exist in your support system, fix them systematically, and build processes that prevent them from recurring.