A vertical AI agent that holds a multi-intent insurance journey together end to end, then hands to a human with full context when confidence drops, plus a self-serve kit that takes Hubtype's enterprise engine to the mid-market in 48 hours, not 6-8 weeks.
Reviewers say Hubtype automates simple queries well but complex issues still fall over to humans, that the service can be slow, and that a 6-8 week team-led launch prices out everyone below enterprise.
I founded a cleaning startup and ran its whole customer operation on WhatsApp: quotes, bookings, reschedules, complaints, staff. I know exactly where a conversation thread breaks and what a handoff needs to carry.
Vertical agents built for the journeys that break bots, with confidence-scored handoff that passes a full context card to the agent workspace. Shipped below as a working demo, then packaged for the mid-market.
A customer reports a car accident, adds breakdown cover mid-claim, sends a voice note with the third party's plate, then mentions neck pain. Watch where the agent holds, and where it chooses to hand over. This video is a concept walkthrough made for Aries.
Sofia Leblanc · policy AU-2291
Comprehensive motor, renewal 14 Jan
Customer reported neck pain 40 minutes after the collision. Injury claims route to a licensed handler. Sentiment: shaken, cooperative.
Concept walkthrough with sample data. Auralia Insurance is fictional.
Hubtype's stack is proven at Decathlon, Volkswagen and Allianz scale. The gap is everything below: no published pricing, a 6-8 week team-led launch. Vertical templates with transparent pricing open the segment Aries wants to grow into.
First notice of loss, photo capture, policy changes, injury escalation. The demo above, as a template.
Delay and cancellation flows: rebook, refund or voucher, bag tracing, proactive status pushes.
Personal shopper discovery, size checks, cart recovery, returns and post-sale care in one thread.
Outage reporting with location, meter photos, ETA pushes and vulnerable-customer escalation.
While it excels at automating simple queries, more complex issues might still require human intervention, limiting its full potential.
→ The demo's whole point: a complex, multi-intent journey held together, with handoff as a designed moment, not a failure.
You can launch your conversational strategy in just 6-8 weeks, backed by a highly skilled team.
→ Services-led launch = mid-market locked out. The kit turns the same engine into a 48-hour self-serve product with published pricing.
Vertical-specific solutions, voice and multimodal integrations, expansion across LatAm and North America, and a revamped go-to-market engine.
→ This concept is that roadmap in miniature: one vertical, voice-note input, and a GTM motion aimed at a new segment.
80-85% automated interactions at enterprise clients.
→ The engine works. The product gap is the last 15% (complex journeys) and the distribution gap below enterprise. This kit attacks both.