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FloatbotEnterprise AI-agentplatform voor contactcenters en voice/chat automatisering

4.8 (4)
Daniel NikulshynBeoordeeld door Daniel Nikulshyn·Bijgewerkt juli 2026

Overzicht

Floatbot is een no-code AI-agentplatform gebouwd voor bedrijven die klantinteracties over spraak-, chat- en berichtenkanalen willen automatiseren. Het stelt teams in staat om conversationele workflows te ontwerpen, virtuele agenten in te zetten en live-agents in real-time bij te staan binnen contactcenteroperaties. Het platform combineert generatieve AI, natuurlijke taalbegrip en sprachtechnologieën om taken zoals klantensupport, incasso's, leadkwalificatie en onboarding af te handelen. Het integreert met algemene CRM-, telephonie- en kernbanksystemen, waardoor het geschikt is voor gereguleerde sectoren zoals bankieren, verzekeringen en financiële diensten.

Belangrijkste functies

  • No-code conversatie-AI bouwer
  • Voice bots met spraakherkenning
  • Live agent assist en co-pilot
  • CRM- en telefonie-integraties
  • Meertalige ondersteuning
  • Analytics- en rapportage-dashboard

Prijs

Model
Free
Beoordeling
4.8 / 5 (4)

Toepassingen

Automatiseer FNOL- en ondersteuningsprocessen voor claims

Versnel het claimsverwerkingsproces, automatiseer supportgesprekken, en geef adjustors realtime begeleiding om de efficiëntie en compliance te verbeteren in gereguleerde sectoren zoals verzekeringen en gezondheidszorg.

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Verbeter de klantbeleving in contactcenters

Zorg voor een naadloze overdracht van agents, stimuleer BPO-automatisering en verlaag het compliance-risico via AI-aangedreven automatisering van contactcenters voor voice- en chatinteracties in diverse sectoren, waaronder bankieren, kredietverlening en gezondheidszorg.

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Optimaliseer operationele workflows in de financiële dienstverlening

Automatiseer workflows met hoge volume, activeer self-service AI agents en verlaag de wachttijden voor gesprekken om de klantbetrokkenheid en ervaring in de financiële dienstverlening en BPO-sectoren te verbeteren.

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Pluspunten & minpunten

Pluspunten

  • No-code builder voor het ontwerpen van AI agents
  • Ondersteunt zowel voice- als chatkanalen
  • Bestaande integraties voor enterprise-systemen
  • Realtime agent assist-functies
  • Branch-specifieke oplossingen voor de BFSI-sector

Minpunten

  • Georiënteerd op ondernemingen, minder geschikt voor kleine teams
  • Inrichten kan vendorondersteuning vereisen
  • Prijzen zijn niet openbaar

Strijdrecord

Over 1 strijd in het Pantheon.

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Last battle

Recensies

4.8

Gemiddelde van 4 beoordelingen.

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Leila Hassan

Leila Hassan

Jan 7, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: no-code conversational AI builder and pre-built integrations for enterprise systems. Where it lags: geared toward enterprises, less suited for small teams. On balance the feature set — especially analytics and reporting dashboard — justifies the 5 stars for our use case.

Kwame Mensah

Kwame Mensah

Aug 25, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is multilingual support — handled better than most — and supports both voice and chat channels. Worth the time if this is your use case.

Daniel Schmidt

Daniel Schmidt

Jun 21, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: multilingual support and no-code builder for designing AI agents. On balance the feature set — especially analytics and reporting dashboard — justifies the 5 stars for our use case.

Tomáš Novák

Tomáš Novák

Jun 11, 2025

Use it every day

Honestly didn't expect to like it this much. No-code conversational AI builder is exactly what I needed, and pre-built integrations for enterprise systems. I do wish pricing not publicly transparent, but I reach for it almost every day now and it just clicks.

Vragen

How much does AI reduce the cost to collect?

AI automation has been reported to cut collections operating costs by roughly 30–50%, mainly by automating repetitive tasks — manual processes alone are estimated to consume about 30% of a collections team's time. Savings compound further since AI operates 24/7 across channels without added headcount.

Asked by Constantin Ionescu · Oct 27, 2025

Does AI actually improve recovery rates / is it effective?

Yes, when AI is implemented effectively, it can improve recovery rates by increasing customer engagement, personalized outreach, and providing support across multiple communication channels. AI also reduces response times, automates follow-ups, and ensures consistent communication, helping more customers resolve their accounts. While results vary by organization, many businesses also see improvements in agent productivity, operational efficiency, and customer satisfaction.

Asked by Fatima Zahra · Oct 24, 2025

How does AI debt collection work?

AI debt collection uses conversational AI, machine learning, and workflow automation to engage customers across voice, chat, SMS, email, and other digital channels. AI can answer account questions, send payment reminders, negotiate payment plans within predefined rules, process payments, update customer information, and route complex cases to human agents.

Asked by Robert Ainsworth · Oct 12, 2025

Is AI in debt collection legal?

Yes, AI is legal in debt collection — it must follow the same rules a human collector would under whichever country's law applies. In the U.S. that means the FDCPA, TCPA, and Regulation F; in the EU and UK, it means GDPR-level data protection plus consumer credit and financial conduct rules (e.g., FCA guidance in the UK). What makes AI compliant anywhere: consent tracking, human escalation paths, audit trails, and following local data-protection and disclosure rules.

Asked by Margaret Whitfield · Sep 28, 2025

Can AI Agents handle compliance with FDCPA, CFPB and other debt collection regulations?

Yes, AI Agents like LEXI are designed to be fully compliant with regulations such as Reg F, FDCPA, TCPA, HIPAA, PCI-DSS and more. It includes built-in, real-time regulatory compliance filters and can reduce compliance-related errors by 40%.

Asked by Ines Zeković · Sep 17, 2025

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