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Putting AI to work, safely.
How organizations connect Claude, ChatGPT, Copilot Studio, and their own agents to the systems they run on, and what AI does once it gets there.
Agentic AI in practice
AI agents built in Bazinga, at work in customer support.
7 Steps to Extract Insights from Support Cases for Better Customer Success
Seven steps to turn support cases into insights with Bazinga AI: centralize data, define criteria, structure metadata, visualize, act, automate, and refine.
Smarter Support Starts Here: Tips for Seamless Knowledge Access with AI
Tips for giving support teams fast access to knowledge with Bazinga AI: consolidate sources, add customer context, go omnichannel, and keep knowledge current.
How Bazinga Solved Ticket Classification Challenges with AI
How Bazinga AI automates support ticket classification, prioritization, and routing, with results from a SaaS company handling over 8,000 tickets a month.
How to Classify Support Tickets with AI
How to classify support tickets with AI: set the purpose and criteria, then automate classification at each stage of the support process with Bazinga AI.
How AI Can Respond to Support Tickets
Best practices for using AI to respond to support tickets, from drafting replies for agents and building a rich knowledge base to feedback and data labeling.
Augment Customer Support with AI
Five ways AI augments customer support: summarizing tickets, classifying them, responding with or without an agent, detecting anomalies, and updating docs.
Give AI a job, not the keys.
See how Bazinga connects the AI your teams already use to your business systems.