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Use case · AI Call Center

An entire call center, run by AI.

Inbound, outbound, support, sales — Floo is a complete call-center operation. Skills-based routing, live transfers, full QA, every language.

Inbound + Outbound

Both directions, one platform

100%

Calls QA-scored (no sampling)

20+

Languages, all in one console

How a call center runs on Floo

Inbound + outbound + QA on every call. One platform.

Inbound

Customer calls

1

Outbound

Campaigns + SLAs

2

Skills routing

AI + human

3

100% QA scoring

Every call audited

4

What it does

Built for the call, not the demo.

01Step 01

Skills-based routing

Match every call to the right agent — AI or human — based on intent, language, account value, and live availability.

  • Multi-skill queues
  • Priority for high-value accounts
  • Live agent + AI hybrid teams
02Step 02

Quality at 100%

Every call scored automatically against your QA rubric. No more sampling 5% — coach on facts, not anecdote.

  • Custom QA rubric scoring
  • Compliance flag detection
  • Coaching insights and trends
03Step 03

Inbound + outbound, unified

Run support and sales operations on one platform with one set of analytics and one team console.

  • Unified inbound + outbound queues
  • Single dashboard for ops
  • Cross-team handoff with context

Use cases

Where teams put this to work.

BPO / outsourced contact center

Service multiple clients across industries with one Floo tenant per client.

Outcome

Agent count cut while volume grew. Margin transformation.

Mid-market in-house operation

30-seat support team turning to AI for tier-1 + after-hours.

Outcome

Tier-1 fully automated. Remaining team upskilled to advisory roles.

Enterprise omni-channel

Voice, email, chat — all routed through Floo with consistent intent + tone.

Outcome

Customer experience consistent across every channel.

Run a call center, not a hiring spree.

Replace seats with software. Keep the calls — drop the cost.

Build Your First AI Voice Agent

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