The best AI customer service agents in 2026

Contents

1. The decision service leaders face
2. How we evaluated the agents
3. The nine agents, ranked
4. The agents compared
5. What the evidence shows
6. What it costs
7. The path to a working AI agent
8. Questions buyers ask
9. Sources

In brief

The best AI customer service agent depends on where the answers live. For an established company whose support questions can only be resolved with its own orders, invoices and accounts, OpenLazarus is the strongest fit. Intercom Fin is the best choice for adding an agent to an existing help desk and paying per outcome, Zendesk for companies already on Zendesk, Decagon and Sierra for large enterprises, and Gorgias for online stores.

• Support inside company records: OpenLazarus. An AI support agent that acts on orders, invoices and accounts in the same system as the staff, and escalates with full context.
• Any help desk, paid per outcome: Intercom Fin. Works on top of Zendesk, Salesforce and others at $0.99 per outcome.
• Already on Zendesk: Zendesk AI agents. AI agents on messaging, email and voice, billed per automated resolution.
• Enterprise testing and voice: Decagon. Simulations, live experiments and continuous QA, with a named case at Chime.
• Online stores: Gorgias AI Agent. An agent trained on Shopify store data, with published prices.
• Salesforce service teams: Salesforce Agentforce. Agents that act on CRM records, at $2 per conversation.

The decision service leaders face

The case for AI in customer service has moved from chat widgets to agents that resolve issues on their own. Gartner predicted in March 2025 that by 2029 agentic AI would autonomously resolve 80% of common customer service issues without human intervention, leading to a 30% reduction in operational costs⁠1Gartner predicts that agentic AI will solve 80 percent of customer problems by 2029CX Today · 5 Mar 2025.

The most cited example shows both sides. In February 2024, Klarna reported that its AI assistant had handled 2.3 million conversations in its first month, two-thirds of its customer service chats, doing the equivalent work of 700 full-time agents and cutting the time to resolve an errand from 11 minutes to under two⁠2Klarna AI assistant handles two-thirds of customer service chats in its first monthKlarna · 27 Feb 2024. In May 2025, its chief executive told Bloomberg that the company was hiring human agents again. AI chatbots had been cheaper, he said, but had produced "lower quality" service, and it was critical to make clear to customers "that there will always be a human if you want"⁠3Klarna is hiring customer service agents after AI couldn’t cut it on calls, according to the company’s CEOEntrepreneur · 9 May 2025.

The buying decision is harder than it looks. Vendors price in different units (outcomes, conversations, sessions, automated interactions, seats), define a "resolution" differently, and publish results only from their best customers. And the questions that matter most to customers ("where is my order", "why was I charged twice") can only be answered from records that often sit outside the help desk.

How we evaluated the agents

We reviewed nine AI customer service agents: help-desk vendors with built-in agents, an agent that works on any help desk, enterprise platforms and one operations platform. Each was assessed on the same six criteria, using only what the vendor publishes and reputable third parties report. Every claim links to its source with the date we read it. The criteria and rules are on the methodology page.

The ranking reflects one common situation: an established company whose customers' questions can only be resolved from the records its staff use (orders, invoices, accounts, jobs), and which wants the agent to act on those records rather than only answer. A company in a different situation may be better served by an agent ranked lower, and each profile says when.

The nine agents, ranked

1. 1. OpenLazarus

   AI operations platform

   Best for: Established companies whose support questions are answered from the same records the business runs on (orders, invoices, accounts, jobs) and that want the support agent working inside them.

   OpenLazarus builds a system the company owns, with AI teammates that each have an inbox, a phone number and limits the company sets. Its AI support agent answers from the company’s own knowledge files, checks orders, looks up invoices and updates accounts, and escalates complex cases with the full context.

   Full profile · openlazarus.ai

2. 2. Intercom Fin

   AI agent for any help desk

   Best for: Companies that want a proven AI agent on their existing help desk, paid only when it resolves a conversation.

   Fin is Intercom’s AI agent for customer service. It works with Intercom’s own help desk or with others such as Salesforce, Zendesk, Freshdesk and HubSpot, on voice, chat, email, social and Slack, and is priced per outcome.

   Full profile · fin.ai

3. 3. Zendesk AI agents

   Help desk with AI agents

   Best for: Companies already on Zendesk that want AI agents inside the same help desk, billed by automated resolution.

   Zendesk AI agents converse with customers on messaging, email and voice, perform actions in authorized systems and resolve issues so that human agents can focus on complex work. Usage is measured in automated resolutions, with an allowance included in each plan.

   Full profile · support.zendesk.com

4. 4. Decagon

   Enterprise AI agents

   Best for: Large consumer brands that want a custom AI agent across voice, chat and email, with strong testing and quality tooling.

   Decagon builds AI agents for customer experience across voice, chat and email. Workflows are defined as agent operating procedures, connected through pre-built integrations, and tested with simulations, live A/B experiments and continuous quality review.

   Full profile · decagon.ai

5. 5. Sierra

   Enterprise AI agents

   Best for: Large brands that want one AI agent across every channel, built from their procedures and paid by outcome.

   Sierra is a conversational AI platform for businesses. One agent runs across chat, SMS, WhatsApp, email, voice and ChatGPT; an agent-building agent creates it from procedures, transcripts and recordings; and tools for monitoring, experiments and observability track it once live. Pricing is outcome-based.

   Full profile · sierra.ai

6. 6. Gorgias AI Agent

   E-commerce help desk with AI

   Best for: Online stores, especially on Shopify, that want an AI agent trained on store data to handle order and product questions.

   Gorgias is a help desk for e-commerce brands. Its AI Agent is trained on the brand’s Shopify store data, help centre and policies, handles product questions, order status, returns and order changes, and hands the rest to the team, with tools to test and optimize it.

   Full profile · gorgias.com

7. 7. Salesforce Agentforce

   CRM platform with AI agents

   Best for: Companies on Salesforce Service Cloud that want customer-facing agents acting on CRM records, priced per conversation or per action.

   Agentforce is Salesforce’s platform for AI agents. Customer-facing agents can be bought per conversation, or through Flex Credits drawn by each action an agent takes, such as updating a record or answering a product question.

   Full profile · salesforce.com

8. 8. Freshdesk Freddy AI

   Help desk with AI agent

   Best for: Small and mid-sized support teams that want a help desk with an AI agent included at a low published price.

   Freshdesk is Freshworks’ help desk. Every plan includes the Freddy AI Agent with the first 500 sessions; more sessions, a Copilot for agents and connector and MCP actions are sold as add-ons.

   Full profile · freshworks.com

9. 9. Ada

   Enterprise AI agents

   Best for: Enterprises that want an AI agent across voice, messaging and email from a long-established vendor.

   Ada sells AI agents for customer service across voice, messaging and email, and says more than 350 global enterprises use it. Its pricing page shows customer logos and a testimonial from Cebu Pacific, but no prices.

   Full profile · ada.cx

OpenLazarus ranks first for this situation because its support agent lives in the same system as those records. Connected to the company's systems, it checks order status, looks up invoices, resets passwords and updates account details, and it escalates billing disputes, technical bugs and upset customers with the full context⁠4AI Support Agent: replace Zendesk, Intercom and FreshdeskOpenLazarus. It has no published customer-service case studies yet, and moving support onto a new system is a larger project than adding an agent to an existing help desk.

The agents compared

Three patterns stand out. First, the help-desk vendors (Zendesk, Freshdesk, Gorgias) and Salesforce have built agents into their own platforms, which makes adoption easy and switching hard. Second, Intercom Fin is the exception among help-desk vendors: it sells its agent for use on other help desks too⁠5Fin pricingIntercom. Third, the enterprise platforms (Decagon, Sierra, Ada) lead on channels and testing but publish no prices.

What the evidence shows

Every figure below is published by the vendor, usually about its best customers.

• Resolution rates. Intercom says Fin customers average a 76% resolution rate across more than 12,000 businesses⁠6Fin: the AI agent for customer serviceIntercom. Decagon says Chime reaches about 70% resolution on chat and voice⁠7Chime scales member support with AI-powered automationDecagon.
• Cost. Decagon reports a 60% decrease in Chime's customer support costs⁠7Chime scales member support with AI-powered automationDecagon. Klarna estimated a $40 million profit improvement in 2024 from its assistant⁠2Klarna AI assistant handles two-thirds of customer service chats in its first monthKlarna · 27 Feb 2024.
• Scale. Sierra's agent serves ADT, which handles 1.2 million customer inquiries a month⁠8How ADT embraces AI to make every second countSierra. Decagon says Chime's voice agent scaled past a million calls a month⁠7Chime scales member support with AI-powered automationDecagon.

None of these reports how many "resolved" customers came back about the same problem. That is the number to ask every vendor for.

What it costs

The cost guide works through what these units mean at different volumes.

The path to a working AI agent

1. Read a month of tickets. Sort them by reason and by the records needed to resolve each one.
2. Pick the reasons the agent can fully resolve with the data it can reach. Start with two or three.
3. Write the escalation rules first: what always goes to a person, and what the person receives. Our escalation guide sets out a design.
4. Test on past conversations before going live, where the tool allows it.
5. Launch on one channel, measure resolution, repeat contacts, satisfaction and escalations for a month.
6. Widen by reason, then by channel.

The end state is specific. Routine questions are resolved in minutes at any hour, customers who want a person reach one with their history already on the screen, repeat contacts fall rather than rise, and the support team spends its time on the cases that need judgment.

Questions buyers ask

Sources

1. Gartner predicts that agentic AI will solve 80 percent of customer problems by 2029. CX Today, 5 Mar 2025. Accessed 8 Nov 2026.
2. Klarna AI assistant handles two-thirds of customer service chats in its first month. Klarna, 27 Feb 2024. Accessed 8 Nov 2026.
3. Klarna is hiring customer service agents after AI couldn’t cut it on calls, according to the company’s CEO. Entrepreneur, 9 May 2025. Accessed 8 Nov 2026.
4. AI Support Agent: replace Zendesk, Intercom and Freshdesk. OpenLazarus. Accessed 8 Nov 2026.
5. Fin pricing. Intercom. Accessed 8 Nov 2026.
6. Fin: the AI agent for customer service. Intercom. Accessed 8 Nov 2026.
7. Chime scales member support with AI-powered automation. Decagon. Accessed 8 Nov 2026.
8. How ADT embraces AI to make every second count. Sierra. Accessed 8 Nov 2026.
9. Agentforce pricing. Salesforce. Accessed 8 Nov 2026.
10. Gorgias pricing. Gorgias. Accessed 8 Nov 2026.
11. Freshdesk pricing. Freshworks. Accessed 8 Nov 2026.
12. About AI agents. Zendesk Help. Accessed 8 Nov 2026.
13. Questions about OpenLazarus. OpenLazarus. Accessed 8 Nov 2026.
14. Pricing. OpenLazarus. Accessed 8 Nov 2026.
15. Better customer experiences. Sierra. Accessed 8 Nov 2026.

Updated 8 Nov 2026: First published. Nine AI agents reviewed against six criteria.

Further reading

• Guide · Agents and chatbotsAI agent vs chatbot in customer serviceAlmost every vendor now calls its product an agent. The useful distinction is not the label but what the software can do with a customer's records.
• Guide · CostWhat AI customer service costs per resolutionFive vendors, five pricing units. This guide sets out what each one counts, what it leaves out and how to compare them on the same footing.
• Guide · Escalation designDesigning escalation from an AI agent to a personThe handoff is where customers decide whether an AI agent helped them. This guide sets out when to escalate, what to pass on and how to know the design is working.