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FloatbotEnterprise AI-agentplattform for kontaktcenter og stemme-/chat-automatisering

4.8 (4)
Daniel NikulshynAnmeldt av Daniel Nikulshyn·Oppdatert juli 2026

Oversikt

Floatbot er en no‑code AI‑agentplattform bygget for virksomheter som ønsker å automatisere kundeinteraksjoner på tvers av stemme‑, chat‑ og meldingskanaler. Den gjør det mulig for team å designe samtaleflyt, distribuere virtuelle agenter og assistere live‑agenter i sanntid i driften av kontaktsenteret. Plattformen kombinerer generativ AI, naturlig språkforståelse og taleteknologi for å håndtere oppgaver som kundeservice, inkasso, kvalifisering av leads og onboarding. Den integreres med vanlige CRM‑, telefonisystemer og kjernebankssystemer, noe som gjør den egnet for regulerte bransjer som bank, forsikring og finansielle tjenester.

Nøkkelfunksjoner

  • Ingen-kode samtale‑AI‑bygger
  • Taleboter med taleregistrering
  • Sanntidsassistanse for agenter og co‑pilot
  • CRM‑ og telefonintegrasjoner
  • Flerspråklig støtte
  • Analyser og rapporteringsdashbord

Priser

Modell
Free
Vurdering
4.8 / 5 (4)

Brukstilfeller

Automatiser krav FNOL og støtteprosesser

Strømlin kravbehandling, automatiser støttesamtaler, og gi justeringsansvarlige sanntidsveiledning for å forbedre effektivitet og etterlevelse i regulerte bransjer som forsikring og helsevesen.

Forbedre kundeopplevelsen i kontaktcenter

Muliggjør sømløs agentoverlevering, driv BPO‑automatisering, og reduser etterlevelsesrisiko gjennom AI-drevet kontaktcenter‑automatisering for tale‑ og chatinteraksjoner på tvers av ulike bransjer, inkludert bank, utlån og helsevesen.

Optimaliser driftsarbeidsflyter i finansielle tjenester

Automatiser høyvolum arbeidsflyter, muliggjør selvbetjente AI‑agenter, og reduser samtaletid for å forbedre kundengasjement og opplevelse i finansielle tjenester og BPO‑sektoren.

Fordeler og ulemper

Fordeler

  • Ingen-kode bygger for å designe AI‑agenter
  • Støtter både stemme‑ og chatkanaler
  • Ferdigbygde integrasjoner for bedriftsystemer
  • Sanntidsassistentfunksjoner for agenter
  • Bransjespesifikke løsninger for BFSI

Ulemper

  • Rettet mot store virksomheter, mindre egnet for små team
  • Oppsett kan kreve leverandørstøtte
  • Prising er ikke offentlig gjennomsiktig

Anmeldelser

4.8

Gjennomsnitt fra 4 vurderinger.

5
3
4
1
3
0
2
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1
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Logg inn for å legge igjen en anmeldelse.

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.

Spørsmål

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

Still et spørsmål

Alternativer til Stemme AI-agenter