Clear answers, before we begin.

It is broader than a chatbot. OmniSansar connects customer conversations, customer context, and the next operational action in one system. AI assistance sits inside that workflow where it is useful.

WhatsApp, Facebook Messenger, Instagram, TikTok, and an embeddable website widget are shipped today. They feed the same conversation, contact, inbox, and CRM model.

Yes. OmniSansar is structured around industry-specific stages, actions, and boundaries rather than forcing every team into one generic pipeline.

Not by default. Each implementation should define where AI may draft, suggest, classify, or automate—and where a person must review, approve, or take over.

Sensitive workflows should define explicit boundaries, escalation rules, human review points, and the actions the AI must not take. Those rules are part of the workflow design.

Yes. Supported channels feed Omni’s own inbox and CRM. The scheduling engine checks configured availability, creates the booking, and consumes the booked slot.

English and Nepali are verified today, including Devanagari and romanized Nepali. Omni matches the customer’s language automatically, including a change mid-conversation.

Start with one high-value customer journey: the channels it begins on, the context your team needs, the current handoffs, and the next action you want to improve.

Timing depends on channels, integrations, workflow complexity, and review requirements. A focused first journey is scoped before implementation so the team has a clear, realistic plan.