Blog
Insights on AI customer support, product updates, and building smarter support experiences.
8 Proven Support Deflection Strategies to Reduce Ticket Volume Without Sacrificing CX
Support deflection strategies help B2B SaaS companies reduce ticket volume on routine issues without compromising customer experience, freeing agents to focus on complex, high-value problems. This guide covers eight proven approaches—from self-service optimization to AI-powered resolution—that break the costly cycle of linear growth between customers and support headcount.
Grant Cooper
Your Guide to Customer Support Metrics That Matter in 2026
Don't drown in data. This guide covers the essential customer support metrics (CSAT, FRT, AHT) and shows how AI transforms how you measure success.
Matt Pattoli
Support CSAT Improvement Strategies: A Step-by-Step Guide for B2B Teams
This step-by-step guide walks B2B SaaS support leaders and product teams through proven support CSAT improvement strategies that address root causes like ticket handling, resolution speed, and structural inefficiencies. Rather than relying on survey manipulation, it focuses on sustainable operational changes that directly impact customer retention, renewal decisions, and long-term satisfaction scores.
Matt Pattoli
Customer Feedback Analysis: A Guide to Driving Revenue
Learn customer feedback analysis from start to finish. Our guide covers goals, methods, tools, and a 5-step workflow to reduce churn and grow revenue.
Grant Cooper
How to Set Up AI Support Slack Integration: A Step-by-Step Guide
Setting up an AI support Slack integration connects your helpdesk and team communication into a unified workflow, eliminating the tab-switching and missed alerts that slow response times. This step-by-step guide walks through configuring intelligent ticket notifications, escalation handoffs with full context, and automated bug pattern alerts so your AI investment delivers value directly where your team already works.
Grant Cooper
What Is a Ticketing System? B2B SaaS Guide 2026
Understand what is a ticketing system, how it boosts B2B SaaS, its types, benefits, KPIs, and future with AI agents. Essential guide for 2026.
Grant Cooper
8 Proven Strategies to Reduce Support Team Burnout
Reducing support team burnout requires addressing the root causes—repetitive low-complexity tickets, disjointed tools, and emotional exhaustion—not just managing workload volume. This guide outlines eight proven strategies B2B SaaS companies can implement to protect agent wellbeing, retain institutional knowledge, and maintain service quality over the long term.
Grant Cooper
AI Support Security and Compliance: What B2B Teams Need to Know Before Deploying
B2B teams deploying AI support agents must carefully evaluate ai support security and compliance requirements before going live, as these systems continuously process sensitive customer data including PII, billing histories, and account details. This guide helps product leaders, support managers, and operations teams understand the real risk profile of modern AI support agents and what due diligence looks like across regulatory obligations and enterprise security standards.
Matt Pattoli
Top 10 AI Customer Service Companies to Watch in 2026
Explore the top AI customer service companies of 2026. Our guide evaluates 10 platforms on features, pricing, and pros/cons to help you choose the right fit.
Grant Cooper
Multi Language Support: AI Strategies for Global CX 2026
Build production-grade multi language support with AI. Cover language detection, localized knowledge, agent training, and UX for global customer service.
Matt Pattoli
Knowledge Base vs AI Agent: 7 Strategies to Choose and Combine the Right Support Tools
This guide breaks down the knowledge base vs AI agent decision with 7 actionable strategies to help B2B SaaS support teams understand when each tool fits, how they work together, and how to measure their effectiveness—so neither ends up underperforming.
Grant Cooper
How to Set Up Automated Feature Request Tracking: A Step-by-Step Guide
This step-by-step guide shows product teams how to implement automated feature request tracking to capture, categorize, and route customer requests from support tickets, emails, and sales calls without manual effort. By building a structured system, teams can eliminate lost product intelligence, make roadmap decisions based on real demand patterns, and consistently close the loop with customers.
Grant Cooper