A conversational AI platform is software for building, deploying and managing automated agents that converse with people in text or speech, most often in customer service, sales and internal help desks. Earlier platforms relied on intent classification and scripted dialogue trees; current products combine those deterministic flows with large language models that can answer from knowledge bases and carry out actions in business systems.
This list covers thirteen platforms sold in November 2026, from the cloud providers' developer services to contact-centre suites and newer AI-agent vendors that price by resolved conversation. Pricing models vary more in this category than in most software markets, ranging from fractions of a cent per API request to several thousand dollars a month.
Contents
- Types of conversational AI platform
- Pricing models
- Methodology
- The list
- Comparison table
- Frequently asked questions
- See also
Types of conversational AI platform
Cloud developer services such as Google's Conversational Agents (Dialogflow CX) and Amazon Lex provide building blocks that engineering teams assemble and host within their cloud accounts.
Enterprise application suites from Microsoft, Salesforce and IBM attach agents to their productivity, CRM and automation products, with consumption or credit-based billing.
Specialist platforms such as Kore.ai, NICE Cognigy and Rasa focus on dialogue design, voice and contact-centre integration. AI customer-service agents such as Sierra, Decagon and Intercom Fin are delivered as managed products and frequently priced per resolution or outcome rather than per seat.
Pricing models
Four pricing approaches appear among the platforms listed. Per request: Amazon Lex charges US$0.004 per speech request and US$0.00075 per text request. Credits: Microsoft sells Copilot Studio in packs of 25,000 credits for US$200 a month, and Salesforce sells Flex Credits at US$500 per 100,000. Per outcome: Intercom charges US$0.99 for each conversation Fin resolves, Yellow.ai charges US$0.99 per resolution after its free allowance, and Sierra describes its pricing as outcome-based. Subscription: IBM lists watsonx Orchestrate from US$578 a month.
Methodology
Platforms were included if they were on sale in November 2026, are used to build or run conversational agents for text or voice, and are documented on an official product, pricing or documentation page. Prices are taken from vendor pricing pages in US dollars, exclude tax and are list or starting prices; vendors that publish no price are marked quote-based.
The order is an editorial judgement that weighs breadth of documented capability (channels, voice, generative and deterministic dialogue), the size of the vendor's surrounding ecosystem, deployment options and pricing transparency. Analyst-report placements are mentioned only where the vendor itself states them and were not used as a ranking input. No hands-on test, user rating or market-share estimate was used.
The list
1
Google Cloud's agent builder combining generative playbooks with deterministic flows
Best for: Engineering teams building controllable text and voice agents on Google Cloud
Conversational Agents is Google Cloud's console for building virtual agents on top of Dialogflow CX. Google's documentation says the console merges features of the deprecated Dialogflow CX console and the Vertex AI Agent Builder console, and that agents can combine generative playbooks, generative data stores and deterministic flows. Dialogflow CX models a conversation as a state machine of flows and pages, which gives developers explicit control over regulated or transactional dialogue while generative components answer open questions. Agents handle concurrent conversations and accept both text and speech. Google publishes pricing per text or voice request or session, with generative features priced separately; current rates are on the Google Cloud pricing page.
- Vendor
- Google Cloud
- Pricing model
- Per request or session; generative features billed separately
Strengths
- Combines rule-based flows with generative answering in one agent
- Mature state-machine model for complex dialogue
Limitations
- Console and product naming has changed several times
- Requires engineering effort and a Google Cloud account
2
Low-code agent builder tied to Microsoft 365 and Azure
Best for: Organisations standardised on Microsoft 365 and Azure
Copilot Studio is Microsoft's platform for building, testing and publishing AI agents using natural-language instructions or a graphical designer. Agents can run on their own or be published into Microsoft 365 Copilot. Microsoft sells usage as Copilot Credits: a prepaid pack of 25,000 credits costs US$200 a month, with savings of up to 20% through commit units, or credits can be billed pay-as-you-go at the end of each month. An Azure subscription is required, and use of agents published to Microsoft 365 Copilot is included in that licence.
- Vendor
- Microsoft
- Pricing
- US$200/month per 25,000-credit pack, or pay-as-you-go
Strengths
- Low-code designer accessible to non-developers
- Usage within Microsoft 365 Copilot covered by that licence
Limitations
- Requires an Azure subscription
- Credit consumption per action is not shown on the product page
3
SA
CRM-native AI agents with per-conversation or credit pricing
Best for: Salesforce customers automating service and sales conversations
Agentforce is Salesforce's platform for AI agents that act on CRM data in sales, service and field-service processes. Its pricing page offers several models: Flex Credits at US$500 per 100,000, with a standard action consuming 20 credits and a voice action 30; a per-conversation price of US$2 for customer-facing agents; an Agentforce user licence at US$5 per user a month; and add-ons from US$125 per user a month. Salesforce Foundations, which includes Agentforce Builder, is free for Salesforce customers. Flex Credits and conversation pricing cannot be combined in one org, and unused credits do not roll over.
- Vendor
- Salesforce
- Pricing
- US$2/conversation, or Flex Credits at US$500 per 100,000
Strengths
- Agents act directly on Salesforce records
- Detailed public pricing with worked cost examples
Limitations
- Value depends on existing Salesforce investment
- Unused Flex Credits expire at the end of the term
4
Enterprise agent platform for customer service, employee help and processes
Best for: Large enterprises covering both customer and employee use cases
Kore.ai sells AI agents and workflows in three areas: customer service (voice and digital agents, agent assist and an AI-native contact centre), employee work (enterprise search and HR, IT and recruiting assistants) and long-running business processes. Its platform, called Artemis, includes an optimisation engine, execution tracing and a typed Agent Blueprint Language for defining agent behaviour. The company names Morgan Stanley, Citi, Vanguard, AMD and Lilly among its customers and states that it was named a Leader in Gartner's 2026 Magic Quadrant for Conversational AI Platforms. Pricing is not published.
- Platform
- Artemis (Kore.ai Agent Platform)
- Pricing
- Quote-based
Strengths
- Covers customer service, employee support and process automation
- Explicit tooling for testing and tracing agent behaviour
Limitations
- No public pricing
- Headquarters and company details are not stated on the homepage
5
NC
Voice and chat AI agents for contact centres, branded under NICE
Best for: Contact centres with heavy voice traffic
Cognigy builds AI agents for voice, chat and messaging, together with an agent copilot for human contact-centre staff. Its website now brands the product as NiCE Cognigy and describes it as native inside the NiCE CXone contact-centre platform, while stating that it also works with any CCaaS platform through more than 110 prebuilt integrations. Cognigy says it is trusted by more than 25,000 brands and names Bosch, Toyota, Nestlé, Lufthansa Group, DHL and Mercedes-Benz as customers. NiCE listed a press release on a next-generation NiCE Cognigy release dated 12 November 2026. Pricing is not published.
- Brand owner
- NiCE
- Integrations
- 110+ prebuilt (company figure)
- Pricing
- Quote-based
Strengths
- Strong voice and contact-centre orientation
- Works with third-party CCaaS as well as NiCE CXone
Limitations
- No public pricing
- Product roadmap is now tied to its parent's contact-centre suite
6
AWS service for building text and voice bots, priced per request
Best for: Developers on AWS who want pay-per-request bots
Amazon Lex is the AWS service for building conversational interfaces using speech and text. It has no minimum fee: speech requests cost US$0.004 each and text requests US$0.00075 each, so AWS's own example of 8,000 speech and 2,000 text requests in a month totals US$33.50. New AWS customers from 15 July 2025 receive up to US$200 in free-tier credits usable on eligible services including Lex, rather than a fixed number of free requests.
- Vendor
- Amazon Web Services
- Pricing
- US$0.004 per speech request; US$0.00075 per text request
Strengths
- Very low entry cost with no commitment
- Integrates with other AWS services
Limitations
- Developer-oriented; little no-code tooling compared with suites
- Generative features and orchestration must be assembled from other AWS services
7
IBM's agent and automation platform with published subscription tiers
Best for: Enterprises already using IBM automation and data products
watsonx Orchestrate is IBM's platform for building and coordinating AI agents that carry out tasks across business applications. IBM publishes subscription tiers: a 30-day free trial; Essentials starting at US$578 a month; Standard starting at US$6,360 a month, which raises usage limits, document volumes and concurrency; and a quote-based Premium tier. IBM notes that prices are indicative, may vary by country and exclude taxes.
- Vendor
- IBM
- Pricing
- Essentials from US$578/mo; Standard from US$6,360/mo; Premium quote-based
Strengths
- Published starting prices and a free trial
- Aimed at task execution, not only dialogue
Limitations
- Large price step between Essentials and Standard
- Prices are indicative and vary by country
8
Managed customer-service AI agents with outcome-based pricing
Best for: Consumer brands outsourcing agent design and operation
Sierra builds AI agents for consumer-facing companies and deploys a single agent across chat, SMS, WhatsApp, email, voice and ChatGPT. Its tooling includes Ghostwriter, which drafts agents from standard operating procedures or transcripts, Agent Studio, and an Insights suite for experiments and monitoring. The company describes its pricing as outcome-based, meaning customers pay for results delivered rather than a flat fee. Customers shown on its site include Rocket Mortgage, Gap Inc., Singapore Airlines, Hyatt, Vanguard, Santander, SiriusXM and Wayfair.
- Pricing model
- Outcome-based (rates not published)
- Channels
- Chat, SMS, WhatsApp, email, voice, ChatGPT
Strengths
- Pricing aligned to results rather than usage
- One agent deployed across many channels
Limitations
- Rates are not published
- Less suited to teams that want to build agents entirely in-house
9
AI customer-service agents for voice, chat and email
Best for: Technology and consumer companies with high support volumes
Decagon offers AI agents for customer service across voice, chat and email, together with tools for building workflows (which it calls Agent Operating Procedures), testing and experimentation, and reporting through products named Watchtower and Suggestions. Customers listed on its website include Deutsche Telekom, American Airlines, Square, Delta, Notion, Duolingo, Dropbox and Hertz. Pricing is available only through a sales demo.
- Channels
- Voice, chat, email
- Pricing
- Quote-based
Strengths
- Built-in testing and quality assurance for agent behaviour
- Covers voice as well as text channels
Limitations
- No public pricing
- Narrower scope than general-purpose platforms
10
IF
AI support agent billed at US$0.99 per resolved conversation
Best for: Support teams wanting a per-resolution AI agent on top of an existing help desk
Fin is Intercom's AI customer-service agent. It can be bought on its own for use with an existing help desk or as part of Intercom's seat plans. Intercom charges US$0.99 per outcome, defined as a customer confirming resolution, ending the request after Fin's reply, or Fin completing a workflow, including hand-offs; the charge applies once per conversation. Use with a third-party help desk carries a minimum monthly commitment. Intercom's seat plans are listed at US$19, US$85 and US$132 per seat a month for Essential, Advanced and Expert.
- Vendor
- Intercom
- Pricing
- US$0.99 per outcome; seats US$19–132/mo
Strengths
- Transparent per-outcome price
- Works with other help desks, not only Intercom
Limitations
- Costs scale directly with volume
- Minimum monthly commitment when used with another help desk
11
YA
Multilingual chat and voice agents with a free entry plan
Best for: Multilingual service operations wanting to start on a free tier
Yellow.ai builds AI agents for customer service across chat and voice. Its pricing page lists a Free plan with one AI agent and 500 chat sessions a month, after which resolutions cost US$0.99 each, and a quote-based Enterprise plan supporting more than 35 channels. The company states that its Nexus VOX voice agents can handle calls in more than 500 languages. The site's copyright line names Bitonic Technology Labs Inc. as the operating entity.
- Operating entity
- Bitonic Technology Labs Inc.
- Pricing
- Free (500 sessions/mo), then US$0.99 per resolution; Enterprise quote-based
Strengths
- Free plan with a monthly session allowance
- Large number of supported channels on Enterprise
Limitations
- Free plan limited to one agent
- Language-coverage claim is the vendor's own
12
Developer platform for self-managed or hosted conversational agents
Best for: Regulated organisations that need to host agents themselves
Rasa provides a developer-oriented platform for building conversational assistants that can be run self-managed on-premises or in a private cloud, or as a managed service. A free Developer Edition licence allows one bot per company and up to 1,000 external or 100 internal conversations a month, for local or production use, with community forum support. The Enterprise edition is quote-based and adds full platform access and premium 24/7 support; a voice connector for AudioCodes VoiceAI Connect is sold separately.
- Deployment
- Self-managed or managed service
- Pricing
- Developer Edition free (limits apply); Enterprise quote-based
Strengths
- Can be deployed entirely on the customer's own infrastructure
- Free licence usable in production at small scale
Limitations
- Requires in-house engineering skills
- Free edition capped at one bot and low conversation volumes
13
L
Conversational Cloud for orchestrating AI and human agents
Best for: Large brands running messaging-based customer care with human hand-off
LivePerson's Conversational Cloud is a platform for designing, simulating and improving conversations handled by AI agents and human staff across messaging channels. It supports bringing a customer's own language model and includes a chatbot toolset. The company states that it handles over a billion messages a month. Its homepage also lists outcome percentages, such as a 90% automation rate, without identifying the customers or periods they come from, so they are not relied on here. Pricing is not published.
- Product
- Conversational Cloud
- Pricing
- Quote-based
Strengths
- Designed for blended AI and human agent operations
- Supports bring-your-own LLM
Limitations
- No public pricing
- Published outcome figures lack source or methodology
Frequently asked questions
What is a conversational AI platform?
It is software for creating automated agents that communicate with people through chat, messaging or voice. The platform typically provides language understanding, dialogue management, integrations with business systems and analytics. Current platforms combine scripted flows, which give predictable behaviour, with large language models that answer open questions from company knowledge.
What is the difference between a chatbot and conversational AI?
A traditional chatbot follows fixed rules or decision trees and can only handle the paths it was programmed for. Conversational AI platforms add natural language understanding and, increasingly, generative models, so agents can interpret varied phrasing, answer from documents and complete multi-step tasks. Many platforms still let developers enforce scripted paths where accuracy matters.
How much does a conversational AI platform cost?
Costs vary widely by model. Amazon Lex charges fractions of a cent per request, Intercom charges US$0.99 per resolved conversation, Salesforce charges US$2 per conversation or sells credits, and IBM lists watsonx Orchestrate from US$578 a month. Several vendors, including Kore.ai, Cognigy and Decagon, publish no prices and quote individually.
Which conversational AI platforms can be self-hosted?
Rasa states that its platform can run self-managed on-premises or in a private cloud, as well as a managed service, and offers a free Developer Edition. The cloud providers' services, such as Google's Conversational Agents and Amazon Lex, run within their own clouds, and managed agent vendors such as Sierra and Intercom operate the agents for their customers.
What is outcome-based pricing for AI agents?
Outcome-based pricing charges for results rather than usage or seats. Intercom, for example, bills US$0.99 when Fin resolves a conversation or completes a workflow, and Yellow.ai bills per resolution after its free allowance. Sierra also describes its pricing as outcome-based. Buyers should check exactly how each vendor defines a resolution.
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