Hand off to humans, the moment it matters.
Floo decides on every call when AI is enough, and when a human needs to take over. Warm transfers, conditional rules, and full context handoff in under a second.
Transferring with full context
Sending conversation context
Sentiment · Intent · Account · History
<800ms
Handoff latency
100%
Context passed to human
20+
Languages supported
AI agent → human
Watch a transfer happen, in milliseconds.
Sentiment, intent, account, history, decision. Every signal Floo detects flows to the human before they say hello.
<800ms
Average handoff latency
Caller never repeats herself.
When AI escalates, every byte of context lands on the human's screen before they say hello.
100% transcript pinned
Full conversation, scrollable on the agent's screen
Detected signals delivered
Sentiment · Intent · Account · History
5-second whisper brief
Agent hears the summary before connect
Auto CRM update
HubSpot · Salesforce · custom API
What it does
Built for the call, not the demo.
Intent-based routing
Configure rules in plain English. Floo decides who picks up (sales, billing, escalation, or a specialist) based on what the caller actually wants.
- Plain-language routing rules
- Conditional logic (caller value, intent, sentiment)
- Round-robin, skills-based, or priority queues
Warm or cold transfers
Warm transfers brief the human in real time. They hear a 5-second summary before the caller is connected. Cold transfers route silently for high-volume teams.
- Whisper handoff to agent before connect
- Full transcript pinned to the agent's screen
- Caller never repeats themselves
Full context handoff
When a human takes over, they don't start from zero. The conversation transcript, intent, sentiment trend, and detected entities (name, account, order) land in their CRM the moment the call connects.
- Live transcript streaming
- Sentiment + intent flags
- CRM auto-update (HubSpot, Salesforce, native API)
Why teams are switching
Floo vs traditional call transfer.
Same call. Two completely different outcomes. Here's what changes when AI hands off with full context.
Setup time
2-4 weeks
30 seconds
Context loss on handoff
~70% (caller repeats)
0% (full transcript pinned)
Handoff latency
45-90 seconds
<800 ms
Languages supported
1 (usually English)
20+ (auto-detect, mid-call switch)
After-hours coverage
None or voicemail
24/7, AI answers, escalates if needed
Per-call cost
$0.45, $0.80 / call
From $0.09 / min
CRM context sync
Manual data entry
Auto-sync to HubSpot, Salesforce, etc.
Routing built on 500K monthly real-world calls.
Floo's transfer rules aren't generic templates. They're trained on the call patterns VLMS Global's lead-gen team has handled across VMR, MRI, and Valiant LifeCare for years. We know which calls a human must pick up. And which ones AI handles better.
Pattern library from 5 active B2B brands
Industry-specific escalation playbooks for healthcare, market research, finance
Continuous learning from your real call data, never aggregated with other tenants
Use cases
Where teams put this to work.
Healthcare (Valiant LifeCare pattern)
Patient calls about a medication dose. Floo handles refills and FAQs, transfers to a nurse only when symptoms suggest urgency.
Outcome
82% of calls fully handled by AI. The remaining 18% reach a clinician with full symptom history.
B2B Sales (VLMS Global pattern)
Inbound demo request. Floo qualifies BANT, answers product questions, transfers only enterprise-fit leads to a senior AE.
Outcome
AE calendars freed of unqualified meetings. Win rate up because every transferred call is sales-ready.
Market Research (VMR pattern)
Analyst inquiry on a published report. Floo answers from the report, escalates to a research analyst for custom data requests.
Outcome
Analysts spend time on premium custom work, not repeating published findings.
Hand off your first call in 5 minutes.
Spin up a voice agent, set one transfer rule, and watch the warm hand-off in your console. No engineering required, no contract to sign first.
No card. No setup call. First 100 minutes free.