Governed Agentic AI for Product Support & Troubleshooting

Zingtree understands what went wrong, applies your engineering and warranty logic, and takes the next allowed action from another troubleshooting step to a return, replacement or engineer handoff.

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Customer on the phone while trying to open his smart lock
Owner · Incoming call
00:02

My smart lock won't open. The light keeps flashing red.

Owner
AI Agent

Let's get you back in. I'll check your lock's model and find the right fix.

Your logic
Diagnostics
Warranty
Entitlement
Remote reset sent
Case resolved
No steps skipped

Put Zingtree to work across product support

01
Troubleshooting
Chat
02
Warranty & repairs
Voice, integrated with your CCaaS
03
Returns & exchanges
Email
Website chat where the AI agent troubleshoots a robot vacuum fault and closes the case
Voice AI agent confirming dishwasher warranty and booking an engineer with a live transcriptAI agent replying by email to exchange a wrong-size air fryer order
Other AI agents teams build
Case creation
Recall handling
Order status & delivery
Spare parts & accessories
Safety reports
Faster returns
Reduction in handle time
Reduction in transfer rate

AI understands the fault. Your business rules control the resolution.

Zingtree keeps AI separate from the decision logic. AI can understand how the customer describes the problem and work with unstructured product knowledge. The Engine determines which diagnostic step is valid, whether warranty applies, and when approval is required.

01 - Understand02 - Check and hand off03 - Act and record

Understand the problem, however the customer explains it

  • Understand symptoms expressed in the customer's own words, even when details arrive out of order.
  • Bring together model and serial data, product history, manuals and prior support context.
  • Use AI where interpretation helps, without asking the model to control the resolution itself.
Explore self-service
Chat where the AI agent understands a blender fault while the Engine checks model, serial and symptoms
01 - Understand02 - Check and hand off03 - Act and record

Apply your engineering and policy logic before deciding

  • Follow the diagnostic sequence defined by your engineering and support teams.
  • Check warranty, region, model, and entitlement before offering a resolution.
  • Enforce required steps, thresholds, and approvals outside the language model so they can't simply be skipped.
Explore agent assist
Warranty has expired, so the Engine escalates to a support specialist with the full handoff
01 - Understand02 - Check and hand off03 - Act and record

Take the allowed action across your systems

  • Create the case, issue the replacement, start the return or book the engineer.
  • Pull live product and customer data from the systems your team already uses.
  • Pass the complete diagnosis and troubleshooting path downstream when a person needs to take over.
Explore the engine
Support specialist ships a replacement through a connector after the exception is approved

See how Turo makes roadside support faster and more consistent

Read the case study

Built for support that carries safety and warranty obligations

SOC 2 Type II
GDPR
CCPA
WCAG 2.1 AA
Security & compliance

Start with the fault your team escalates most

Bring us the product line with the messiest troubleshooting history. We’ll show you how Zingtree can turn it into a governed resolution workflow.

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