AI Agent Governance Layer for Complex CX
Safely harness AI across consumer-facing, agent-facing, and back office operation team workflows.
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Proven results that speak volumes
The first agentic-deterministic hybrid engine
Only Zingtree’s engine harnesses both deterministic guardrails and agentic reasoning. It shifts autonomy mid-conversation: reads your rules, brings in the AI for the language and the judgment, checks every step, acts in your systems, and records the outcome.
One hybrid engine that guides
AI Agents serving customers
Resolve complex customer issues autonomously while the Engine controls what the AI can decide and do. When your rules call for a human rep, they join the same conversation and carry on from there without transfers and missed context.
Explore self-serviceHuman agents engaging customers
Guide agents inside Salesforce or Zendesk, drafting replies and checking policy while they talk. Your team stays the one talking. Turn up how much it handles on its own whenever you’re ready.
Explore agent assistSystems and external AI agents working behind the scenes
Run customer operations without a customer-facing conversation. Coordinate systems, continue workflows across teams, and give other AI agents a governed way to call Zingtree for decisions and actions.
Explore headlessZingtree performs the best because it runs on our proprietary engine
Built for teams where accuracy is the job
Explore all industriesWorks with the tools you already use
Your CRM, helpdesk, knowledge, and own internal services connected over MCP and API. Zingtree acts in them, and other AI agents can call Zingtree back the same way.
Bring us your hardest support issue
Start with the journey with the most exceptions, systems, and ways to go wrong. We’ll show you how it runs on Zingtree.