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AI chatbots and the hybrid future of customer conversations.

RCS, WhatsApp, SMS — and the AI orchestration layer that decides which channel a customer ends up on. The architecture conversation has moved from 'which channel?' to 'which combination, in what order?'

6 min read
Product · Issue 20
6 min read

ost enterprise messaging architectures still treat SMS, WhatsApp, RCS, and voice as four separate funnels. The customers don't. They expect one conversation — and don't care which channel their device woke up on. The interesting design problem in 2026 isn't 'pick a channel' — it's 'orchestrate a hybrid'.

What 'hybrid' actually means

A hybrid conversation routes the right message through the right channel at the right moment. An OTP goes out over SMS because it's universal and arrives in three seconds. The follow-up onboarding nudge goes out as a WhatsApp template because the recipient is more likely to actually read it. A rich-card upsell sits behind RCS where the device supports it, and silently falls back to a WhatsApp Business message everywhere else.

Where AI lives in the loop

  • Decide channel order per recipient (handset, locale, opt-in scope, last successful channel).
  • Detect intent on inbound replies and route to the right human or autonomous agent.
  • Adjust send-time per recipient based on the historical reply window — without rebuilding the campaign.
  • Classify content category (transactional / service / promotional) so the regulatory + cost basis is correct.

What BroadNet ships today

The same engine that runs fraud scoring on the operator side now powers customer-side orchestration: transcript classification, sentiment, and intent in 16 languages — feeding the cascade logic in real time. Inside the conversation, our AMD model (the same one in DialerBee) decides whether to stay on voice or fall back to SMS-OTP.

Coming to MWC, ITW, or GCCM? Stop by the booth — we demo the hybrid cascade live with your own traffic mix.
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