Resolution vs Deflection: What Really Defines Success
Two metrics that sound alike on a dashboard, but tell very different stories about customer experience and cost.
The 6C Framework: Building a Continuous Case Quality Engine
AI has transformed how we evaluate quality. The next challenge is transforming how we improve it.
Beyond Tool Calls: How to Measure Whether MCP Is Actually Improving Customer Support
Why enterprises need to move from monitoring MCP connections to measuring customer outcomes
Planning to Build AI Agents? Here’s How to Get Started
The team, timeline, and budget it actually takes, and the data on where most of these builds quietly stall
How to Automate KCS with AI: A Complete Knowledge Management Guide
Turning KCS into an Autonomous Backend Service Layer with SearchUnify Agentic Platform
5 Signs Your QA Program Is Holding Back Support Quality
Even with AI-powered scoring and greater coverage, many QA programs still fail to improve customer outcomes. Here are fi…
Building an AI-Ready Knowledge Base: Best Practices for 2026
Six steps to structure, govern, and maintain enterprise knowledge that AI agents can actually work with.
AI Agent Development: What Breaks Why It Breaks & How to Fix
What actually breaks in enterprise support, search, and knowledge management deployments, and what the research says fix…
Why AI Agent ROI Is Stalling: The Knowledge Base Problem Most Enterprises Miss
The gap between AI agent potential and performance often starts with the knowledge base, not the model.
Why AI Agents Fail: The Knowledge Base Problem No One Talks About
Organizations are investing heavily in AI agents, but many are overlooking the one factor that determines success: the q…
Salesforce just paid $3.6 billion to buy its own critic
What the Fin acquisition means for its customers, the market, and anyone evaluating AI agents right now
The Real Cost of AI Agents: Maintenance, Model Drift, and Hidden Ownership Costs
Deployment is a milestone. Maintaining AI performance is the real investment.
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