Resolution Engine for support that needs to finish work.
Zunni orchestrates AI agents for triage, guided resolution, ticket updates, system lookup, and human handoff with complete history.

The layer turns contact into execution: understand, retrieve, decide within rules, act in the stack, and measure quality.
Focus
Resolution, not just response
Channels
Voice, WhatsApp, chat, email
Outcome
Less queue and rework
Support scales volume before it scales resolution.
Customers enter through several channels, repeat context, wait for triage, and often end in a manual ticket.
Queues grow when volume reaches a new level.
Human agents spend time collecting basic data.
Tickets are incomplete or poorly classified.
Churn and complaint risk appear late.
Zunni treats support as an operational layer: each conversation should move the case forward.
An autonomous resolution desk for the first line.
The agent does not only chat. It follows runbooks, checks data, executes allowed actions, and knows when to stop.

From contact to traceable resolution.
The execution layer reduces the distance between incoming message, decision, and operational update.
Understand intent
Classify reason, customer, channel, urgency, risk, and required data.
Retrieve context
Find history, contract, orders, tickets, knowledge-base articles, or logs.
Execute next action
Reply, open or update ticket, record CRM activity, and notify the owner.
Control quality
Measure resolution, satisfaction, escalation, rework, and process adherence.
Action across support channels and systems.
Zunni connects inbound channels, CRM, help desk, knowledge bases, and internal automations.
More autonomy without losing support standards.
Execution needs to preserve tone, policy, refund limits, escalation, and traceability.
Does your support answer or actually resolve?

We map a support workflow with enough volume, rules, and integration to prove operational gain.
Start with one recurring, measurable contact reason.
Connect knowledge base, tickets, and CRM.
Measure resolution, saved time, and quality.