Zunni connects agents to the CRM, ERP, telephony, data, and channels the client already runs to execute complete processes, not isolated tasks, with context, supervision, and traceability.
Review queue
Agents execute the flow. Specialists approve exceptions, policies, and sensitive decisions.
Instead of starting by changing tools, Zunni redesigns the workflow so AI executes volume, calls people into exceptions, and records every step.
Agents handle repeatable volume.
People own exceptions, risk, and judgment.
The operation moves faster without losing control.
The best design is human and machine working in the same flow.
We map the work, design the agents, integrate with systems, and measure return.
Zunni chooses models, tools, and integrations based on the result. We use the CRM, ERP, telephony, data, and channels the client already runs.
Anonymized workflows where AI executes and people keep control of exceptions.
Case 1/6
Service Operations
Agents resolve recurring requests and escalate to specialists when risk, exception, or ambiguity requires review.
National B2C services network
71% autonomous resolution
38% lower average time
24/7 with handoff
Humans in the loop
Policies, approvals, and exceptions stay with specialists.
Complete governance: action limits, audit trails, and human handoff.
We start with the operational bottleneck, then design cooperation between people, agents, and systems.
Immersion
We understand volume, pain, systems, and decisions that require supervision.
Identify
We choose the workflow with the highest value and lowest operational risk.
Build
We create agents, integrations, audit trails, and handoffs.
Multiply
The first workflow becomes a blueprint for new areas.
Transform
The operation evolves with metrics, learning, and control.
Diagnosis, engineering, and ongoing operation so AI works inside the company's real flow.
Talk to specialists to find the first workflow where AI can execute with human control and measurable impact.
Choose a critical workflow with visible volume, cost, or revenue leakage.
Bring involved systems, channels in use, and business rules.
Leave with an ROI hypothesis and implementation next steps.
Operational mapping, agent development, infrastructure, AI products, and data intelligence for real processes.
No. By default, Zunni uses the existing stack, connecting channels, data, and systems without changing tools when that is not necessary.
It depends on workflow, integrations, and risk. The diagnosis defines the first case and ROI hypothesis.
With logs, business rules, action limits, human review, handoff, auditability, and metrics.
Service, collections, healthcare, HR, legal, technology, sales, and back office with volume and clear impact.
Choose a critical process and estimate volume, cost, involved systems, and expected impact.