Blog
Insights on AI customer support, product updates, and building smarter support experiences.
How to Build an Automated Product Guidance System: Step-by-Step Guide
This step-by-step guide walks product teams through building an automated product guidance system that delivers contextual, intelligent assistance to users at the exact moment they need help. From mapping friction points to configuring AI agents and measuring impact on retention and support efficiency, the guide covers everything needed to reduce churn and support tickets without scaling headcount.
Matt Pattoli
AI Customer Support Implementation Guide: 7 Steps to Deploy and Scale
This ai customer support implementation guide walks B2B product teams and support leaders through seven structured steps to successfully deploy and scale AI-powered support—from initial audit to a fully operational system that handles tier-1 tickets, manages escalations, and avoids the common pitfalls that cause most AI support initiatives to fail.
Grant Cooper
9 Best Customer Support AI Platforms in 2026
This guide evaluates the best customer support AI platforms available in 2026, comparing top tools on automation depth, integration capabilities, and genuine ticket resolution—not just deflection. Whether you're a lean startup or a scaling mid-market team, it helps you identify which platform best fits your specific support needs and operational goals.
Matt Pattoli
9 Best AI Ticketing Systems for B2B Teams in 2026
Discover the best AI ticketing systems for B2B support teams in 2026, with this comprehensive guide evaluating nine platforms on autonomous resolution capability, integration depth, and scalability. Whether you're managing a small support operation or thousands of monthly tickets, this breakdown helps you choose the right AI-first solution—not just a legacy helpdesk with AI bolted on.
Grant Cooper
7 Key Differences Between AI Support Agents and Chatbots (And Why It Matters)
Understanding the key ai support vs chatbot differences helps B2B teams avoid costly technology missteps—while traditional chatbots rely on rigid rules that often frustrate customers, modern AI support agents use contextual reasoning to resolve complex issues, reduce agent workload, and scale more effectively across platforms like Zendesk, Freshdesk, and Intercom.
Matt Pattoli
8 Proven Strategies to Boost Customer Support Agent Productivity
Discover eight proven strategies to improve customer support agent productivity by reducing friction, automating repetitive tasks, and equipping agents with the context they need to resolve issues faster. This guide offers practical, measurable approaches for B2B support teams looking to scale operations, reduce handle times, and improve both agent satisfaction and customer experience across platforms like Zendesk, Freshdesk, and Intercom.
Grant Cooper
7 Proven Strategies to Get More From an AI Chatbot With Ticket Creation
An AI chatbot with ticket creation does more than deflect support requests—it intelligently captures context, categorizes issues, and creates structured tickets when human intervention is needed. This guide covers seven proven strategies to help B2B support teams maximize this capability, preventing unresolved issues from slipping through the cracks and turning every chatbot conversation into actionable, trackable data.
Matt Pattoli
How to Set Up Automated Linear Integration Support: A Step-by-Step Guide
This step-by-step guide explains how to set up automated Linear integration support to eliminate manual handoffs between customer support and engineering teams. By directly connecting your support system to Linear, you can automatically create issues from bug reports, sync status updates, and notify customers of resolutions — saving time, reducing friction, and improving satisfaction for B2B SaaS teams.
Grant Cooper
9 Best Support Operations Efficiency Tools in 2026
Discover the 9 best support operations efficiency tools in 2026, evaluated across automation depth, integration breadth, analytics quality, and scalability to help B2B SaaS teams reduce ticket volume, meet rising customer expectations, and shift from reactive firefighting to proactive, intelligent service delivery without adding headcount.
Matt Pattoli
7 Key Differences Between AI Customer Support and Traditional Support (And How to Use Them to Your Advantage)
This guide breaks down seven critical dimensions of ai customer support vs traditional approaches, helping B2B teams and product managers identify where AI outperforms human agents, where humans still hold the advantage, and how to build a hybrid support model that delivers both speed and quality at scale.
Grant Cooper
7 Proven Strategies for Using AI with Technical Support Teams
Discover seven proven strategies for deploying AI for technical support teams across the full support lifecycle—from first contact and ticket triage to knowledge management and bug escalation. This guide moves beyond basic chatbot implementation to show how technical teams using platforms like Zendesk or Freshdesk can strategically leverage AI to handle complex, high-volume issues faster while maintaining the diagnostic depth that technical customers demand.
Matt Pattoli
Support Team Capacity Constraints: Why Your Team Is Always Overwhelmed (And What to Do About It)
Support team capacity constraints are a structural challenge that causes B2B SaaS support teams to remain perpetually overwhelmed, even after hiring more agents. This guide examines why ticket queues keep growing despite headcount increases and offers actionable strategies to address the root causes rather than applying temporary fixes.
Grant Cooper