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Head-to-head · Conversational AI Platforms

Amazon Lex vs Salesforce Agentforce

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Amazon Lex #1 in Conversational AI Platforms 9.2/10 Paid ✓ 0 of 3 features Visit Amazon Lex
Salesforce Agentforce #5 in Conversational AI Platforms 8.4/10 Free plan Free plan✓ 0 of 3 features Visit Salesforce

Amazon Lex leads on 0 checks, Salesforce Agentforce on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Lex · 9.2/10
  • Free planonly Salesforce Agentforce

Amazon Lex scores higher on our rubric for conversational ai platforms: 9.2 against 8.4 out of 10; our editors rank them #1 and #5.

Salesforce Agentforce offers free plan; Amazon Lex doesn't.

Amazon Lex is the better fit for AWS teams building multichannel conversational bots. Salesforce Agentforce is the better fit for salesforce customers building governed AI agents.

  • Amazon Lex fits best

    AWS teams building multichannel conversational bots

  • Salesforce Agentforce fits best

    Salesforce customers building governed AI agents

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Side by side

Feature Amazon Lex 9.2/10 Visit ↗ Salesforce Agentforce 8.4/10 Visit ↗
At a glance
Editor score 9.2 8.4
Ranking #1 in Conversational AI Platforms #5 in Conversational AI Platforms
Best for AWS teams building multichannel conversational bots Salesforce customers building governed AI agents
Pricing model Paid Free plan + paid
Starting price $0.00075/unit usage-based $5/user/mo
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Cloud, Mobile
Platforms Web Web, iOS, Android
Integrations 12 integrations 8 integrations
Features Amazon Lex 0/3 · Salesforce Agentforce 0/3
Voice channel Not checked yet Not checked yet
Generative AI Not checked yet Not checked yet
Human handoff Not checked yet Not checked yet
Specs
Chat channels Not checked yet Not checked yet
Languages Not checked yet Not checked yet
Deployment options Not checked yet Not checked yet
Our review
Pros
  • Combines speech recognition, language understanding, and multi-turn dialogue.
  • Offers visual and generative-AI-assisted bot creation options.
  • Deploys across messaging, web, mobile, and contact-center environments.
  • Build agents with low-code or pro-code tools, instructions, actions, and guardrails.
  • Connect agents to Flows, Apex, CRM data, knowledge, and MuleSoft APIs.
  • Test and trace agents, with simulation, batch testing, and human review.
Cons
  • Usage-based charges span separate text, speech, and design rates.
  • Business logic and knowledge answers rely on AWS integrations.
  • The published support channel is documentation.
  • The $2 starting price is per conversation, not a monthly subscription.
  • Pricing spans credits, conversations, per-user licenses, add-ons, and editions.
  • Its focus is agents and workflows, not conversation-platform-specific tooling.
Our verdict

Amazon Lex helps teams build, test, publish, and monitor conversational interfaces using voice and text. It is aimed at mid-market and enterprise teams, particularly AWS-centered groups that need bots across web, mobile, messaging, or…

Read the review →

Salesforce Agentforce is a platform for creating and deploying AI agents for customer-facing and employee-facing work. It is aimed at organizations that want agents to operate with Salesforce data and business processes, with both low-code…

Read the review →
  1. Amazon LexConversational AI Platforms 9.2Paid
  2. Salesforce AgentforceConversational AI Platforms 8.4Free plan

Strengths and trade-offs

  • Amazon Lex — where it wins

    • Combines speech recognition, language understanding, and multi-turn dialogue.
    • Offers visual and generative-AI-assisted bot creation options.
    • Deploys across messaging, web, mobile, and contact-center environments.

    Where it doesn't

    • Usage-based charges span separate text, speech, and design rates.
    • Business logic and knowledge answers rely on AWS integrations.
    • The published support channel is documentation.

  • Salesforce Agentforce — where it wins

    • Build agents with low-code or pro-code tools, instructions, actions, and guardrails.
    • Connect agents to Flows, Apex, CRM data, knowledge, and MuleSoft APIs.
    • Test and trace agents, with simulation, batch testing, and human review.

    Where it doesn't

    • The $2 starting price is per conversation, not a monthly subscription.
    • Pricing spans credits, conversations, per-user licenses, add-ons, and editions.
    • Its focus is agents and workflows, not conversation-platform-specific tooling.

More comparisons

All conversational AI platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update