Receive the intent
Handle WhatsApp, calls, email, or chat without losing identity or history.
SOBERAN turns WhatsApp, voice, email, and chat conversations into outcomes: order changes, confirmations, payment promises, service tasks, and context-rich handoffs.
Short answer
It is a service layer where agents understand intent, consult customer and order context, apply policy, and execute permitted actions. The goal is not to answer more contacts; it is to resolve the work behind the conversation.
A chatbot provides information. An operational Contact Center can update an order, record a promise, open a task, schedule a callback, or escalate the case with complete context.
The difference
From data to action
The agent must understand the case, act safely, and leave operations ready to continue.
Handle WhatsApp, calls, email, or chat without losing identity or history.
Assemble account, order, product, obligation, interactions, and policy.
Validate identity, permissions, and conditions before sensitive action.
Confirm, update, schedule, record, collect, or create the right task.
A call can continue on WhatsApp or enter a human queue.
Store the summary, result, action, evidence, and next step.
Capabilities
SOBERAN joins conversation, operations, and supervision instead of adding another isolated bot.
Support, sales, order questions, and asynchronous follow-up.
Explore →02Inbound calls, callbacks, verification, triage, and resolution.
Explore →03Cases connected to product, order, delivery, and policy.
Explore →04Qualification and follow-up with commercial and operational context.
Explore →05Reminders, payment promises, disputes, hardship, and escalation.
Explore →Transfer with a summary, evidence, history, and next action.
Open architecture
SOBERAN connects channels to the systems that hold customer and operational truth. Actions write back to the right place, and out-of-policy cases move to the team with complete context.
TUL
Before each contact, the agent assembles the account, obligation, history, and policy. Promises, disputes, and exceptions return to a shared queue with the next action.
Read the TUL customer story →One system
FAQ
A chatbot answers. An AI-native Contact Center can also consult operational context, apply policy, execute authorized actions, coordinate channels, and escalate with an audit trail.
Yes. Both channels share customer, history, policy, and queues so an interaction can continue on another channel without starting over.
No. It automates repeatable, well-bounded contacts. Sensitive, ambiguous, complex, or out-of-policy cases move to people.
Yes, inside defined permissions. It can record outcomes, create tasks, update statuses, and trigger workflows without creating a parallel information system.
Start with the channel and workflow carrying the most load: service, sales, confirmations, or collections.
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