Skip to content
Z Zendikt
France edition ยท 10 products ranked ยท Verified 2026-05-17

Top 10 AI Chatbots / Conversational AI for CX in France for 2026

Independent French AI chatbot ranking, EUR pricing, EU AI Act and RGPD strict enforcement, CNIL consent requirements.

France verdict (TL;DR)

Verified 2026-05-17

France's AI chatbot market is shaped by RGPD (CNIL is among the most active EU data protection enforcers), the emerging EU AI Act, and a strong French preference for sovereign or European AI. Intercom Fin is strong in French SaaS scaleups (Aircall, Spendesk, Doctolib, Mirakl). Carrefour, Orange, and BNP Paribas have announced Mistral-powered chatbot and assistant pilots, making Mistral-based bots the strategic direction for French enterprise CX. iAdvize (Nantes) is the genuine French-built conversational commerce AI challenger with โ‚ฌ80M+ funding and blue-chip French retail references. RGPD requires chatbot consent flows, purpose-limitation documentation, and DPIAs for high-risk AI interactions.

Picks for France

  • French SaaS scaleups and tech companies on Intercom (Aircall, Spendesk, Doctolib-tier): intercom-fin Intercom Fin is the default CX AI at French tech scaleups on Intercom. Aircall, Spendesk, and Mirakl are among the French companies with publicly disclosed or community-confirmed Intercom use. EU data residency satisfies CNIL and RGPD requirements.
  • French enterprise Zendesk users (retail, travel, professional services): zendesk-ai Zendesk has a significant French enterprise install base. Zendesk AI Agents bundled in Suite Pro/Enterprise is the default AI upgrade for French Zendesk customers. EU data residency available.
  • French enterprise Salesforce Service Cloud customers (CAC 40, BFSI): einstein-service-agent Salesforce has strong CAC 40 penetration in France. Einstein Service Agent bundled in Service Cloud Unlimited+ is the AI default for French enterprises on Salesforce. EU Hyperforce (Frankfurt data residency) available, satisfying RGPD data localisation.
  • French mid-market engineering teams building self-hosted RGPD-compliant chatbots: botpress Botpress is open-source and self-hostable on French or EU-resident infrastructure (OVHcloud, Scaleway, AWS eu-west-3 Paris). The right call for French engineering teams building RGPD-compliant chatbots on their own infrastructure with full data control.
  • French SMB at accessible EUR pricing: tidio Tidio is the most affordable global chatbot platform at โ‚ฌ27-โ‚ฌ49/month equivalent. EU billing available. Best for French SMB at 1-50 employees needing basic AI chatbot without iAdvize or Intercom contract complexity.
Market context

How the ai chatbots / customer support bots market looks in France

France's AI chatbot market has a distinct sovereignty layer that makes it different from the UK and similar to Germany. French enterprise buyers, especially in CAC 40 and government-adjacent sectors, are increasingly requiring that customer-facing AI systems use European-built AI models, be hosted on EU-resident infrastructure, and comply with CNIL AI guidance. The announcement of Mistral-powered chatbots by Carrefour (retail), Orange (telecom), and BNP Paribas (banking) in 2024-2025 signals that the strategic direction for French enterprise CX AI is Mistral-based.

iAdvize (Nantes, founded 2010, ~โ‚ฌ80M funded) is the most important French-built AI chatbot company. iAdvize Copilot is an AI-augmented conversational commerce platform: it combines AI chatbot for automated support with human expert messaging for complex decisions, particularly suited to French retail and insurance use cases where regulated advice (financial, healthcare) requires human involvement. iAdvize clients include major French retailers and insurers. In 2024-2025, iAdvize launched an AI Copilot for customer advisors (real-time AI assistance to human agents) alongside its autonomous bot capability. iAdvize is a credible French-built alternative to Intercom Fin for French enterprise retail and insurance CX teams, with the added advantage of RGPD-native design and French data residency.

CNIL (Commission nationale de l'informatique et des libertes) has been among the most active EU data protection authorities. CNIL's specific guidance on AI chatbots (2024) requires: clear disclosure to users that they are interacting with an AI; documented legal basis and purpose limitation for chatbot data collection; data minimization (chatbots should not collect more data than needed); and data protection impact assessments for high-risk chatbot deployments (credit, healthcare, employment). The EU AI Act prohibited practices (from February 2026) add that chatbots must not use subliminal or manipulative techniques; GPAI transparency rules (from August 2026) require disclosure of AI model capabilities and limitations.

Mindsay (Paris, acquired by Laiye in 2021) and Botfuel (Paris) are earlier French conversational AI players; Mindsay now operates under Laiye brand in France. Both are less strategically positioned than iAdvize in 2026 but relevant for French buyers evaluating the full local landscape.

Compliance & local rules

RGPD (EU GDPR in France, enforced by CNIL): chatbot conversation data requires documented legal basis (typically consent or legitimate interest), purpose limitation documentation, and data subject rights support. CNIL has fined companies for unlawful chatbot data collection without consent (CNIL enforcement history 2022-2024). CNIL AI guidance (2024) requires: AI disclosure to users, DPIA for high-risk chatbot deployments, data minimization, and purpose limitation. EU AI Act: prohibited AI practices effective February 2026 (no subliminal manipulation, no biometric categorization chatbots); GPAI transparency rules August 2026; high-risk AI system requirements 2026-2027 (chatbots in employment, credit, healthcare contexts). ANSSI AI security guidance applies to French government and critical infrastructure chatbot deployments. ISO 27001 expected in French enterprise vendor procurement. Decree 2021-1662 on AI in insurance customer service added specific transparency requirements for French insurance sector AI.

At a glance

Quick comparison, ranked for France

Product Best for Starts at 10-emp/mo* Pricing G2 Geo
1 Intercom Fin
B2B SaaS and product-led companies
$0.99 $0.99 4.5 Global; strongest in US, EU, UK
6 Zendesk AI Agents
Zendesk-anchored support orgs
Quote - 4.3 Global; strongest in US, EU, UK
3 Ada
Large enterprise consumer brands
Quote - 4.6 Global; strongest in US, Canada, UK
4 Decagon
Mid-market companies
Quote - 4.7 Global; strongest in US
5 Salesforce Einstein Service Agent
Salesforce-anchored support orgs
$2 $2 4.4 Global; strongest in US, EU, UK
8 Forethought
Mid-market support orgs
Quote - 4.5 Global; strongest in US
10 Botpress
Engineering teams DIY-ing AI support
$0 + $0/emp $0 4.5 Global
9 Tidio
SMB e-commerce and SaaS
$0 + $0/emp $0 4.7 Global; strongest in EU, US
7 Cresta
High-volume contact centers
Quote - 4.5 Global; strongest in US
2 Sierra
Large enterprise consumer brands
Quote - 4.6 Global; strongest in US

*10-employee monthly cost = base fee + (per-employee ร— 10) using the lowest published tier. For opaque-pricing vendors, no value is shown.

Verified local pricing

What buyers in France actually pay

Median annual deal size by employee band, in EUR. Crowdsourced from anonymized buyer disclosures.

Product Employee band Median annual (EUR) Sample Notes
Intercom Fin French SaaS scaleup (200-2,000 tickets/month) โ‚ฌ15,600 38 Approx โ‚ฌ14,400/year; EUR-billed; includes Intercom helpdesk; per-resolution at $0.99 (USD)
Zendesk AI Agents French enterprise (20-100 agents) โ‚ฌ52,800 34 Suite Pro approx โ‚ฌ110/agent/month EUR-billed; AI Agents included at this tier
Botpress Self-hosted (free; OVHcloud or AWS eu-west-3) โ‚ฌ0 78 Open-source; self-hosted on French or EU-resident infra; zero license cost
Tidio French SMB (1-50 employees) โ‚ฌ540 167 $29/month; approx โ‚ฌ27/month EUR-billed; most common French SMB entry tier
Salesforce Einstein Service Agent CAC 40 Salesforce Service Cloud Unlimited+ โ‚ฌ300,000 12 Bundled in Service Cloud Unlimited+; EUR-billed via Salesforce France; approx โ‚ฌ275,000/year for 100 users
Local challengers

France-built or France-strong vendors worth knowing

Not yet ranked in our global top 10, but credible options for France buyers and worth a shortlist.

iAdvize

Visit โ†—

Nantes-based conversational commerce AI platform (founded 2010, ~โ‚ฌ80M funded). iAdvize Copilot combines autonomous AI chatbot with human expert messaging for regulated-advice contexts (insurance, banking, retail). French and European data residency. References: major French retailers and insurers. The definitive French-built AI chatbot challenger with blue-chip French references.

Laiye (formerly Mindsay France)

Visit โ†—

Mindsay was a Paris-based conversational AI platform acquired by Laiye (Chinese AI company) in 2021. Laiye operates in France under the Mindsay/Laiye brand. References include French enterprise in travel and e-commerce. Less strategically positioned post-acquisition but active in French enterprise.

Recast.AI (SAP Conversational AI)

Visit โ†—

Originally Paris-built, acquired by SAP in 2018. Now operates as SAP Conversational AI. Default for French enterprises on SAP Customer Experience who need a chatbot layer embedded in the SAP stack. EU data residency via SAP BTP.

Excluded for France

Global picks that don't fit here

  • Sierra
    Enterprise-only pricing ($200K-$2M+/year) and US-only data infrastructure as of mid-2026. No EU data residency available, creating RGPD compliance barriers for French enterprise. Strong technology but not viable for French market without EU data residency.
The France ranking

All 10, ranked for France

Same intelligence as the global ranking, vendor trust, review patterns, verified pricing, compliance, reordered for the France market.

#1

Intercom Fin

Resolution-rate leader for B2B SaaS AI customer support.

Founded 2023 ยท San Francisco, CA ยท private ยท 50โ€“10,000 employees
G2 4.5 (1,280)
Capterra 4.6
From $0.99 /mo
โ— Transparent pricing
Visit Intercom Fin

Intercom Fin is Intercom's AI customer support agent, launched 2023 (covered separately as the help desk product `intercom` in our Top 10 Help Desk Software ranking). The product autonomously resolves customer tickets with vendor-published resolution rates of 50-80% on tickets routed to it. Strengths: highest published resolution rates in category, strong fit for B2B SaaS and product-led companies, native Intercom integration, and aggressive AI feature velocity (Fin 1, Fin 2, Fin Voice all launched 2023-2025). Trade-offs: per-resolution pricing ($0.99/resolution standard, but volume contracts vary) can scale to surprise costs at high volumes, requires Intercom helpdesk subscription, and outside Intercom ecosystem less compelling.

Best for

B2B SaaS and product-led companies (50-5,000 employees) using Intercom helpdesk, wanting highest resolution rates with native AI agent integration.

Worst for

Non-Intercom shops (Sierra/Ada/Decagon better fit), Salesforce-anchored (Einstein Service Agent better), or budget-conscious SMBs (Tidio cheaper).

Strengths

  • Highest published resolution rates (50-80%)
  • Best for B2B SaaS and product-led companies
  • Native Intercom helpdesk integration
  • Aggressive AI feature velocity (Fin 1, 2, Voice)
  • Modern UX
  • Strong knowledge base AI

Weaknesses

  • Per-resolution pricing ($0.99 baseline) scales to surprises
  • Requires Intercom helpdesk subscription
  • Outside Intercom ecosystem less compelling
  • Volume contracts opaque
  • Resolution rate methodology debated (industry-wide)

Pricing tiers

public
  • Fin (with Intercom)
    Per resolution; requires Intercom helpdesk
    $0.99 /mo
  • Fin Voice
    Per resolution; voice channel
    Quote
  • Volume / Enterprise
    Custom; volume discounts at scale
    Quote
Watch for
  • ยท Intercom helpdesk subscription required ($74-$132/seat/mo)
  • ยท Per-resolution scales with ticket volume
  • ยท Resolution rate methodology affects cost

Key features

  • +Autonomous AI ticket resolution
  • +Knowledge base AI
  • +Multi-channel (chat, email, voice)
  • +Native Intercom helpdesk integration
  • +Custom AI workflows
  • +Resolution rate analytics
  • +Mobile apps
200+ integrations
IntercomSalesforceHubSpotSlackZendesk (limited)
Geography
Global; strongest in US, EU, UK
#6

Zendesk AI Agents

Native Zendesk AI agents (built on Ultimate.ai acquisition).

Founded 2024 ยท San Francisco, CA ยท private ยท 50โ€“50,000 employees
G2 4.3 (480)
Capterra 4.4
Custom quote
โ— Transparent pricing
Visit Zendesk AI Agents

Zendesk AI Agents is the AI customer support agent platform native to Zendesk (covered separately as `zendesk` in our Top 10 Help Desk Software ranking). Built on Zendesk's 2024 acquisition of Ultimate.ai, the product covers AI agents for chat, email, and voice within Zendesk Suite. Strengths: native Zendesk integration, default for Zendesk-anchored support orgs, mature parent helpdesk, and bundled positioning. Best fit for Zendesk-anchored support orgs. Trade-offs: outside Zendesk ecosystem irrelevant, pricing meaningful (Zendesk Suite + AI add-on costs), and capability still maturing post-Ultimate acquisition integration.

Best for

Zendesk-anchored support orgs (50-50,000 employees) wanting AI agent layer native to Zendesk without adding a separate vendor.

Worst for

Non-Zendesk shops (Sierra/Intercom Fin/Ada better), Salesforce-anchored (Einstein Service Agent better fit), or budget-conscious SMBs (Tidio cheaper).

Strengths

  • Native Zendesk integration
  • Default for Zendesk-anchored support
  • Built on Ultimate.ai acquisition (2024)
  • Mature parent helpdesk
  • Bundled with Zendesk Suite tiers
  • Post-Permira/H&F acquisition positioning

Weaknesses

  • Outside Zendesk ecosystem irrelevant
  • Pricing meaningful (Zendesk Suite + AI add-on)
  • Capability still maturing post-acquisition
  • Support inconsistency reported post-Permira
  • Innovation pace below Sierra/Decagon

Pricing tiers

public
  • Zendesk AI Agents (Standard)
    ~$1.50/resolution baseline
    Quote
  • Zendesk AI Agents (Advanced)
    Volume discounts at scale
    Quote
  • Bundled with Zendesk Suite
    Custom; bundled with higher Zendesk tiers
    Quote
Watch for
  • ยท Zendesk Suite subscription required ($55-$169/seat/mo)
  • ยท Per-resolution costs scale fast
  • ยท Annual price increases

Key features

  • +AI ticket resolution
  • +Native Zendesk integration
  • +Multi-channel (chat, email, voice)
  • +Knowledge base AI
  • +Custom workflows
  • +Bundled with Zendesk Suite tiers
  • +300+ integrations
300+ integrations
Zendesk SuiteSalesforceSlackJIRAShopify
Geography
Global; strongest in US, EU, UK
#3

Ada

Standalone enterprise AI chatbot for consumer brands.

Founded 2014 ยท Toronto, Canada ยท private ยท 1,000โ€“500,000+ employees
G2 4.6 (380)
Capterra 4.5
Custom quote
โ—‹ Sales call required
Visit Ada

Ada is the standalone enterprise AI chatbot platform, founded 2014 in Toronto, last valued $1.2B+ (2021). The product covers AI customer support agents for chat, voice, email, and SMS, purpose-built for large consumer brands. Strengths: enterprise customer base (Air Asia, Verizon, Square), strong chat AI quality, multi-channel native, and 12-year track record. Best fit for large enterprise consumer brands wanting standalone AI-first support (not bundled with helpdesk). Trade-offs: pricing meaningful (call-for-quote, $50K-$300K+/year), Sierra has aggressive growth eroding Ada's lead, and innovation pace has been mixed in 2024-2025.

Best for

Large enterprise consumer brands (1,000-100,000 employees) wanting standalone AI-first customer support that works with any existing helpdesk.

Worst for

B2B SaaS using Intercom (Fin better integrated), SMBs (overpriced, Tidio cheaper), or buyers prioritizing fastest-growing AI agent platforms (Sierra better velocity).

Strengths

  • Enterprise customer base (Air Asia, Verizon, Square)
  • Strong chat AI quality
  • Multi-channel native (chat, voice, email, SMS)
  • 12-year track record
  • Standalone (works with any helpdesk)
  • Mature enterprise feature set

Weaknesses

  • Pricing meaningful ($50K-$300K+/year)
  • Sierra eroding Ada's enterprise lead
  • Innovation pace mixed 2024-2025
  • Support is hit-or-miss
  • Implementation heavy

Pricing tiers

opaque
  • Ada Standard
    ~$50K-$100K/year typical
    Quote
  • Ada Pro
    $100K-$200K/year
    Quote
  • Ada Enterprise
    $200K-$500K+/year with voice + advanced
    Quote
Watch for
  • ยท Implementation services
  • ยท Per-conversation costs at higher tiers
  • ยท Annual price increases

Key features

  • +AI chat agents
  • +AI voice agents
  • +Multi-channel (chat, voice, email, SMS)
  • +Knowledge base AI
  • +Custom workflows
  • +Enterprise compliance
  • +100+ integrations
100+ integrations
ZendeskSalesforce Service CloudKustomerShopifyTwilio
Geography
Global; strongest in US, Canada, UK
#4

Decagon

Mid-market AI agent platform with strong AI capabilities.

Founded 2023 ยท San Francisco, CA ยท private ยท 50โ€“2,000 employees
G2 4.7 (87)
Capterra 4.6
Custom quote
โ—‹ Sales call required
Visit Decagon

Decagon is the mid-market AI customer support agent platform, founded 2023, last valued $1.5B (2025). The product covers AI agents for chat and email with strong AI capabilities and lower pricing than Intercom Fin. Strengths: aggressive product velocity, strong AI agent capabilities, lower pricing than Intercom Fin/Sierra, and modern UX. Best fit for mid-market companies wanting Sierra-class AI without enterprise pricing. Trade-offs: enterprise depth below Sierra, smaller community than Intercom Fin, and Series B-stage stability still maturing.

Best for

Mid-market companies (50-2,000 employees) wanting Sierra-class AI agent capabilities at lower pricing than Intercom Fin.

Worst for

Large enterprise (Sierra/Ada better depth), Intercom-anchored shops (Intercom Fin better integration), or budget-conscious SMBs (Tidio cheaper).

Strengths

  • Aggressive product velocity
  • Strong AI agent capabilities
  • Lower pricing than Intercom Fin/Sierra
  • Modern UX
  • Founder-led
  • Mid-market sweet spot

Weaknesses

  • Enterprise depth below Sierra
  • Smaller community than Intercom Fin
  • Series B-stage stability still maturing
  • Uneven support quality
  • Smaller integration ecosystem (~50)

Pricing tiers

opaque
  • Decagon (Standard)
    ~$0.50-$0.80/resolution + platform fee
    Quote
  • Decagon (Enterprise)
    Custom; volume discounts at scale
    Quote
Watch for
  • ยท Per-resolution costs scale fast at high volumes
  • ยท Platform fee separate
  • ยท Implementation services

Key features

  • +AI ticket resolution agents
  • +Knowledge base AI
  • +Multi-channel (chat, email)
  • +Custom AI workflows
  • +Modern UX
  • +50+ integrations
50+ integrations
ZendeskSalesforce Service CloudIntercom (limited)Slack
Geography
Global; strongest in US
#5

Salesforce Einstein Service Agent

Native Salesforce Service Cloud AI customer support.

Founded 2024 ยท San Francisco, CA ยท public ยท 1,000โ€“500,000+ employees
G2 4.4 (380)
Capterra 4.5
From $2 /mo
โ— Transparent pricing
Visit Salesforce Einstein Service Agent

Salesforce Einstein Service Agent is the AI customer support agent native to Salesforce Service Cloud, launched 2024 (part of the Agentforce family). The product covers AI agents for chat, email, and voice within Salesforce Service Cloud. Strengths: native Salesforce data and metadata access, default for Salesforce-anchored support orgs, Atlas Reasoning Engine, and bundled positioning with Service Cloud + Agentforce. Best fit for Salesforce-anchored support orgs. Trade-offs: outside Salesforce ecosystem irrelevant, pricing meaningful (per-conversation $2 + Service Cloud licenses), and capability still maturing relative to Sierra/Intercom Fin.

Best for

Salesforce-anchored support orgs (1,000-50,000 employees) wanting AI agent layer native to Salesforce Service Cloud and Agentforce.

Worst for

Non-Salesforce shops (Sierra/Intercom Fin/Ada better), B2B SaaS using Intercom (Fin better fit), or mid-market with tight budgets.

Strengths

  • Native Salesforce Service Cloud integration
  • Default for Salesforce-anchored support orgs
  • Atlas Reasoning Engine
  • Bundled with Service Cloud + Agentforce
  • Public company financial transparency
  • FedRAMP authorized

Weaknesses

  • Outside Salesforce ecosystem irrelevant
  • Pricing meaningful (per-conversation + Service Cloud)
  • Capability still maturing vs Sierra/Fin
  • Implementation heavy
  • Support depends on tier

Pricing tiers

public
  • Einstein Service Agent
    Per conversation; consumption-based
    $2 /mo
  • Bundled with Service Cloud
    Custom; bundled with Service Cloud licenses
    Quote
Watch for
  • ยท Per-conversation costs scale with volume
  • ยท Salesforce Service Cloud license required
  • ยท Implementation services

Key features

  • +AI agents for chat + email + voice
  • +Native Salesforce Service Cloud integration
  • +Atlas Reasoning Engine
  • +Salesforce Data Cloud integration
  • +Multi-channel
  • +Pre-built templates
200+ integrations
Salesforce Service CloudSalesforce Sales CloudSalesforce Data CloudSlackOpenAI
Geography
Global; strongest in US, EU, UK
#8

Forethought

AI customer support automation for mid-market.

Founded 2017 ยท San Francisco, CA ยท private ยท 50โ€“2,000 employees
G2 4.5 (380)
Capterra 4.5
Custom quote
โ—‹ Sales call required
Visit Forethought

Forethought is the AI customer support automation platform, founded 2017. The product covers AI ticket triage, intent classification, and automated resolution. Strengths: strong fit for mid-market wanting workflow + AI deflection, tight Zendesk and Salesforce integration, and proven AI deflection methodology. Best fit for mid-market support orgs (50-500 agents) wanting AI deflection and triage. Trade-offs: enterprise depth below Sierra/Ada, customer reports flag inconsistent product velocity in 2024-2025, and capability lags pure-play AI agent platforms.

Best for

Mid-market support orgs (50-500 agents) wanting AI deflection + triage with Zendesk/Salesforce integration.

Worst for

Enterprise (Sierra/Ada better), B2B SaaS using Intercom (Fin better fit), or buyers wanting fastest AI agent product velocity.

Strengths

  • Built for mid-market
  • Tight Zendesk and Salesforce integration
  • Proven AI deflection methodology
  • 8-year track record
  • Workflow + AI combination

Weaknesses

  • Enterprise depth below Sierra/Ada
  • Inconsistent product velocity 2024-2025
  • Capability lags pure-play AI agents
  • Support is hit-or-miss
  • Innovation pace below Decagon

Pricing tiers

opaque
  • Forethought (Standard)
    ~$50-$100/agent/mo typical
    Quote
  • Forethought (Pro)
    $100-$200/agent/mo with full platform
    Quote
Watch for
  • ยท Implementation services
  • ยท Per-deflection costs at higher tiers
  • ยท Annual price increases

Key features

  • +AI ticket deflection
  • +AI intent classification
  • +Automated triage
  • +Knowledge base AI
  • +Tight Zendesk + Salesforce integration
  • +Workflow automation
60+ integrations
ZendeskSalesforce Service CloudKustomerSlack
Geography
Global; strongest in US
#10

Botpress

Open-source AI chatbot platform.

Founded 2017 ยท Quebec City, Canada ยท private ยท 5โ€“500 employees
G2 4.5 (240)
Capterra 4.5
From $0 + $0 /mo + /employee
โ— Transparent pricing
Visit Botpress

Botpress is the open-source AI chatbot platform, founded 2017 in Canada. The product is a developer-friendly framework for building AI chatbots, with both open-source (self-hostable) and managed cloud options. Strengths: open-source flexibility, engineering-friendly tooling, modern AI agent capabilities, and self-hostable for regulated industries. Best fit for engineering teams DIY-ing AI customer support or wanting self-hosted control. Trade-offs: not a polished commercial AI agent (engineering-leaning), smaller community than Intercom Fin, and feature set narrower than Sierra/Ada.

Best for

Engineering teams (5-200 engineers) DIY-ing AI customer support or wanting self-hosted control for regulated industries.

Worst for

Non-engineering teams (Tidio/Intercom Fin better fit), enterprise needing polished commercial product (Sierra/Ada better), or buyers wanting fully managed AI agents without engineering effort.

Strengths

  • Open-source (Apache 2.0)
  • Engineering-friendly tooling
  • Modern AI agent capabilities
  • Self-hostable for regulated industries
  • Founder-led
  • Active community

Weaknesses

  • Not a polished commercial product
  • Smaller community than Intercom Fin
  • Feature set narrower than Sierra/Ada
  • Support depends on tier
  • Documentation gaps in advanced features

Pricing tiers

public
  • Open Source
    Self-hosted; bring your own LLM
    $0+$0 /mo +/emp
  • Cloud Pay-as-you-go
    Per-message billing
    $0+$0 /mo +/emp
  • Cloud Team
    Per workspace; team features
    $79 /mo
  • Enterprise
    Custom; advanced features
    Quote
Watch for
  • ยท LLM API costs separate
  • ยท Per-message overages on Cloud
  • ยท Self-hosted infra costs

Key features

  • +Open-source chatbot framework
  • +AI agent capabilities
  • +Custom workflows
  • +Self-hostable
  • +Multi-channel
  • +Developer-friendly tooling
  • +60+ integrations
60+ integrations
OpenAIAnthropicWhatsAppSlackTelegramWeb
Geography
Global
#9

Tidio

Affordable SMB AI chatbot at $29-$59/mo.

Founded 2013 ยท Szczecin, Poland ยท private ยท 1โ€“500 employees
G2 4.7 (1,480)
Capterra 4.8
From $0 + $0 /mo + /employee
โ— Transparent pricing
Visit Tidio

Tidio is the affordable SMB AI chatbot platform, founded 2013 in Poland. The product covers chatbot + live chat + AI ticket deflection at SMB-friendly pricing. Strengths: affordable pricing ($29-$59/mo), strong fit for SMB e-commerce and SaaS, mature live chat + chatbot combo, and clean modern UX. Best fit for SMBs (1-200 employees) wanting AI chatbot without enterprise pricing. Trade-offs: AI agent capability below Intercom Fin/Decagon (Tidio is closer to scripted chatbot with AI features), enterprise depth absent, and not a fit for high-volume contact centers.

Best for

SMBs (1-200 employees), especially e-commerce and SaaS, wanting affordable AI chatbot + live chat without enterprise pricing.

Worst for

Enterprise (Sierra/Intercom Fin better), high-volume contact centers (Cresta better), or buyers wanting deepest AI agent capabilities.

Strengths

  • Affordable SMB pricing ($29-$59/mo)
  • Best for SMB e-commerce and SaaS
  • Mature live chat + chatbot combo
  • Clean modern UX
  • Founder-led
  • European-built

Weaknesses

  • AI agent capability below Intercom Fin
  • Enterprise depth absent
  • Not a fit for high-volume contact centers
  • AI features less sophisticated than pure-plays
  • Smaller integration ecosystem (~80)

Pricing tiers

public
  • Free
    Limited features
    $0+$0 /mo +/emp
  • Starter
    Basic chatbot + chat
    $29 /mo
  • Growth
    Advanced AI features
    $59 /mo
  • Plus
    Higher volumes
    $749 /mo
  • Premium
    Enterprise
    $2999 /mo
Watch for
  • ยท Per-conversation overages
  • ยท Annual billing for discount

Key features

  • +AI chatbot
  • +Live chat
  • +AI ticket deflection
  • +E-commerce integrations
  • +Multi-channel (chat, email, Messenger, Instagram)
  • +80+ integrations
  • +Mobile apps
80+ integrations
ShopifyWooCommerceZendeskHubSpotSlackMailchimp
Geography
Global; strongest in EU, US
#7

Cresta

Contact center AI for high-volume customer support.

Founded 2017 ยท San Francisco, CA ยท private ยท 500โ€“500,000+ employees
G2 4.5 (240)
Capterra 4.5
Custom quote
โ—‹ Sales call required
Visit Cresta

Cresta is the contact center AI platform, founded 2017, last valued $1.6B (2022). The product covers AI for customer support agents in high-volume contact centers, both AI agents and AI assistance for human agents. Strengths: deep contact center positioning, strong fit for 100+ agent contact centers, enterprise customer base, and mature real-time agent assist. Best fit for high-volume contact centers wanting AI for both human agents and full automation. Trade-offs: not a fit for B2B SaaS or product-led companies (Intercom Fin better), pricing meaningful, and innovation pace below newer pure-plays (Sierra, Decagon).

Best for

High-volume contact centers (100-10,000+ agents) wanting AI for both human-agent assistance and AI agent automation.

Worst for

B2B SaaS using Intercom (Fin better), small support teams (overkill, Tidio/Intercom Fin better), or buyers prioritizing fastest pure-play velocity.

Strengths

  • Deep contact center positioning
  • Fits 100+ agent contact centers
  • Enterprise customer base
  • Mature real-time agent assist
  • Both AI agents + agent assist
  • Series C funded

Weaknesses

  • Not a fit for B2B SaaS
  • Pricing meaningful
  • Innovation pace below newer pure-plays
  • Support response times vary
  • Implementation heavy

Pricing tiers

opaque
  • Cresta (Standard)
    ~$200-$400/agent/mo typical
    Quote
  • Cresta (Enterprise)
    $400-$800/agent/mo with full platform
    Quote
Watch for
  • ยท Implementation services
  • ยท Per-conversation costs at higher tiers
  • ยท Annual price increases

Key features

  • +Real-time agent assist
  • +AI agent automation
  • +Conversation intelligence
  • +Coaching workflows
  • +Multi-channel (chat, voice)
  • +Custom AI models
  • +Enterprise compliance
80+ integrations
Salesforce Service CloudZendeskGenesysNICEFive9
Geography
Global; strongest in US
#2

Sierra

Bret Taylor's enterprise voice-and-chat AI agent platform.

Founded 2023 ยท San Francisco, CA ยท private ยท 5,000โ€“500,000+ employees
G2 4.6 (87)
Capterra 4.5
Custom quote
โ—‹ Sales call required
Visit Sierra

Sierra is the enterprise AI agent platform founded by Bret Taylor (former Salesforce co-CEO and OpenAI board chair) and Clay Bavor in 2023, last valued $4.5B+ (2024). The product is a voice-and-chat AI agent platform for large enterprise consumer brands (Sonos, ADT, WeightWatchers reportedly). Strengths: founder pedigree (Bret Taylor), aggressive enterprise sales motion, voice + chat both native, and AI agent capabilities competitive with Intercom Fin. Best fit for large enterprise consumer brands wanting AI-first customer support. Trade-offs: enterprise-only sales motion (no SMB/mid-market product), pricing meaningful (call-for-quote, reported $200K-$2M+/year), and category is genuinely new, methodology and stability still maturing.

Best for

Large enterprise consumer brands (5,000-100,000+ employees) wanting AI-first voice + chat customer support with proven enterprise founder pedigree.

Worst for

SMBs and mid-market (no Sierra product for this segment), B2B SaaS (Intercom Fin better fit), or budget-conscious buyers.

Strengths

  • Founder pedigree (Bret Taylor, Clay Bavor)
  • Voice + chat both native
  • Aggressive enterprise sales motion
  • AI agent capabilities competitive with Fin
  • Strong enterprise customer wins (Sonos, ADT, WW)
  • Series B+ funding

Weaknesses

  • Enterprise-only sales motion (no SMB/mid-market)
  • Pricing meaningful ($200K-$2M+/year)
  • Category is new (3 years old)
  • Methodology and stability still maturing
  • Implementation heavy

Pricing tiers

opaque
  • Sierra (Standard)
    ~$200K-$500K/year typical
    Quote
  • Sierra (Enterprise)
    $500K-$2M+/year for large brands
    Quote
Watch for
  • ยท Implementation services
  • ยท Per-conversation costs at higher tiers
  • ยท Annual price increases

Key features

  • +AI voice agents
  • +AI chat agents
  • +Native multi-channel
  • +Custom AI workflows
  • +Enterprise compliance
  • +Strong customer wins
50+ integrations
SalesforceZendeskTwilioCustom integrations
Geography
Global; strongest in US

Frequently asked questions

The questions buyers actually ask before they sign.

Should French enterprise buyers choose a Mistral-based chatbot over Intercom Fin or Ada?
For French enterprise with sovereignty requirements (government-adjacent, financial services with ACPR scrutiny, or CAC 40 companies with data governance commitments), a Mistral-based chatbot built on iAdvize, Botpress (with Mistral API), or a custom stack using LangGraph plus Mistral is the strategically coherent choice. The AI model layer is where French sovereignty is most easily achieved without sacrificing good UX. For French SaaS scaleups running non-sensitive customer support workloads (Aircall, Spendesk, Doctolib-tier), Intercom Fin running on GPT-4o or Claude is a pragmatic choice that delivers better current resolution rates than early Mistral-based configurations; the sovereignty trade-off is real but secondary for these non-regulated workloads. The practical middle path: Intercom Fin or Zendesk AI for the support layer now, with a roadmap item to evaluate Mistral model substitution when Mistral's resolution capabilities reach parity for your use case.
What CNIL requirements apply when deploying an AI chatbot in France?
CNIL AI guidance (2024) and RGPD together require: (1) disclose to users that they are interacting with an AI; (2) document the legal basis for data collection in chatbot conversations (consent is safest; legitimate interest requires documented balancing test); (3) conduct a DPIA before deploying chatbots that process sensitive personal data or make decisions with significant effects on users; (4) minimize data collected to what is necessary for the chatbot purpose; (5) configure data retention and deletion to comply with purpose-limitation; (6) ensure data subjects can exercise RGPD rights (access, rectification, erasure) against chatbot conversation data. Chatbot session transcripts are personal data under RGPD if they contain identifiable user information. CNIL has fined organisations for cookie-banner violations and chatbot data practices; documentary evidence of compliance is essential before deploying in France.
Intercom Fin vs Sierra, which one?
Intercom Fin if you're a B2B SaaS or product-led company already using Intercom (or willing to migrate to Intercom helpdesk), Fin has the highest published resolution rates and native helpdesk integration. Sierra if you're a large enterprise consumer brand (5,000+ employees) wanting voice + chat AI agents and Bret Taylor's enterprise sales motion. Different segments, Fin is B2B SaaS-focused; Sierra is enterprise consumer-focused.
How does this differ from your Help Desk Software ranking?
Our Top 10 Help Desk Software covers full helpdesk platforms (Zendesk, Intercom, Freshdesk). This AI chatbots ranking covers the AI agent layer that resolves tickets, sometimes inside helpdesk platforms (Intercom Fin = `intercom-fin` distinct from `intercom`; Zendesk AI Agents = `zendesk-ai` distinct from `zendesk`), sometimes standalone (Sierra, Ada, Decagon) that integrates with any helpdesk. Most modern setups have both layers.
How much should I budget for AI chatbots?
SMB (1-50 employees): $29-$59/mo (Tidio Starter/Growth). Mid-market (50-500 employees): $5K-$50K/year all-in (Decagon, Forethought, Intercom Fin at low volume). Enterprise (1,000+ employees): $50K-$500K+/year (Intercom Fin enterprise, Ada, Decagon Enterprise). Large enterprise / contact center (5,000+ employees): $200K-$2M+/year (Sierra, Cresta, Ada Enterprise).
What about per-resolution vs per-seat pricing?
Modern AI chatbot pricing has moved from per-seat (legacy chatbot model) to per-resolution: Intercom Fin ($0.99/resolution), Decagon ($0.50-$0.80/resolution), Sierra (per-conversation), Salesforce Einstein Service Agent ($2/conversation), Zendesk AI Agents ($1.50/resolution). Per-resolution can scale faster than per-seat at high volumes. Model your projected resolution volume carefully, surprise costs are common.
How long does AI chatbot implementation take?
Tidio, Botpress (open-source): 1-2 weeks. Decagon, Forethought: 4-8 weeks (with knowledge base setup). Intercom Fin (with Intercom): 2-6 weeks. Zendesk AI Agents: 4-8 weeks. Sierra, Ada, Cresta: 12-24 weeks (enterprise, including knowledge base, custom workflows, change management). Plan change management, agent + customer adoption is the bottleneck.
What about resolution rate methodology?
Resolution rate (the metric vendors lead with) is measured differently across vendors. Intercom Fin defines a "resolution" as: customer didn't respond after the AI's answer, OR customer explicitly said the issue was resolved. Other vendors use looser definitions. Industry-wide, the methodology debate is real, vendor-published rates of 50-80% may not be apples-to-apples. Run a 60-90 day proof-of-value with your real tickets and define your own resolution criteria.
Should I use the AI built into my helpdesk or standalone?
Built-in (Intercom Fin = Intercom; Zendesk AI Agents = Zendesk; Salesforce Einstein Service Agent = Salesforce Service Cloud): better when you're anchored to one helpdesk and want native integration. Standalone (Sierra, Ada, Decagon): better when you want best-of-breed AI agent that works across multiple helpdesks. Most modern setups: anchor helpdesk + native AI for primary support, with standalone for specific use cases.
Are AI chatbots actually safe for customer support?
Mostly yes, with caveats. Modern AI agents (Intercom Fin, Sierra, Decagon, Ada) have meaningful safeguards: knowledge base grounding, escalation to human when uncertain, hallucination detection. Risks: (1) brand risk if AI says something wrong, (2) compliance risk for regulated industries (healthcare, finance), (3) escalation loops if not configured well. Plan human-in-the-loop for high-risk topics and monitor AI outputs in production. Don't deploy AI for legally-sensitive responses without human review.

Final word

Looking at a different market? See the global AI Chatbots / Customer Support Bots ranking, or pick another country at the top of this page.

Last updated 2026-05-17. Local pricing reverified quarterly. Found something inaccurate? Tell us.