Best AI customer support tools

EditionSeptember 2026

Best AI stack for customer support, ranked by effect on the work, with the risk read beside each one.

Oximy ResearchUpdated 19 September 20263 min read

TL;DR

  1. 01Choose one primary AI agent for routine questions before adding another overlapping agent.
  2. 02Keep ticket routing, escalation and the customer record in a system the support team already owns.
  3. 03Judge the stack on resolution time, first-contact resolution and the quality of handoffs to people.
  4. 04Review knowledge sources, customer-data access and account actions before allowing broader automation.

We picked these tools for customer support leaders to answer customers, complete support actions, and keep service records.

The stack at a glance

Recommended tools with level, Oximy grade, and training
#ToolGrade
1Intercom FinIntercom FinA+
2Zendesk AI agentsZendesk AI agentsA
3SierraSierraA-
4DecagonDecagonA+
5ForethoughtForethoughtB
6Salesforce with AgentforceSalesforce with AgentforceA+
7GainsightGainsightA

Oximy grade and training readings are shown on the assessment date. We do not show prices: vendor pricing is mostly quote-only, and we print a number only with a source and a date.

The recommended tools

In rank order. Named customers come from the vendor's own published stories, which we opened and checked. They show the tool is used for that job, not that it worked.

Intercom Fin

Rank 01

Intercom Fin

Workflow toolsIntercom
A+

Fin answers customer questions and hands unresolved conversations to support staff.

What it should move: fin resolves more questions at first contact and reduces resolution time.

Best fit

  • It fits teams that want an AI agent in their Intercom inbox.
  • Lightspeed Commerce uses Fin to resolve routine support questions before they reach an agent.[1]
  • Hospitable uses Fin to answer inbound questions from its support knowledge base.[2]

The catch

Fin reads help content and customer conversations. Poor source material weakens answers, and the tool depends on Intercom.

Trains on your data: Free: No, Paid: YesIncidents: 1
SOC 2ISO 27001GDPRHIPAACCPAISO 27018ISO 27701ISO 42001

Assessed SEP 21, 2026

Zendesk AI agents

Rank 02

Zendesk AI agents

Systems of recordZendesk
A

Zendesk AI agents resolve common requests and route remaining tickets to staff.

What it should move: they resolve tickets sooner and handle common requests so staff have more capacity.

Best fit

  • They fit teams that want automation connected to Zendesk records and routing rules.
  • BritBox uses Zendesk AI agents to resolve common subscription, billing and playback questions.[3]
  • Best Egg uses Zendesk AI agents to resolve chat and email questions through approved conversation flows.[4]

The catch

The agents act on customer conversations and approved processes. Complex policies need clear escalation paths and regular answer reviews.

Trains on your data: Yes, with opt-outIncidents: 2
SOC 2ISO 27001GDPRHIPAAISO 27018ISO 27701ISO 27017

Assessed SEP 21, 2026

Sierra

Rank 03

Sierra

Workflow tools
A-

Sierra handles customer conversations and completes actions across business systems.

What it should move: it shortens resolution time and completes more requests without a handoff.

Best fit

  • It fits teams ready to connect an agent to billing, account, and fulfilment processes.
  • Rocket Mortgage uses Sierra for customer conversations about loans, rates, application status and payments.[5]
  • Ramp uses Sierra to answer transaction questions and complete card, shipping and address support workflows.[6]

The catch

Sierra can change customer accounts. Teams must own permissions, action limits, and escalation rules.

Trains on your data: No training on user dataIncidents: 0
SOC 2ISO 27001GDPRHIPAACCPAISO 42001PCI DSSCSA STAR

Assessed SEP 21, 2026

Decagon

Rank 04

Decagon

Workflow tools
A+

Decagon handles support conversations and connects them to business workflows.

What it should move: it shortens resolution time and handles more requests without staff intervention.

Best fit

  • It fits teams that need one configurable agent across several support channels.
  • Duolingo uses Decagon to handle customer chat questions for the Duolingo English Test.[7]
  • Substack uses Decagon to automate support workflows for readers and writers.[8]

The catch

Decagon needs support content and system access. Test policy exceptions, handoffs, and actions that affect customer accounts.

Trains on your data: No training on user dataIncidents: 0

Assessed SEP 21, 2026

Forethought

Rank 05

Forethought

Workflow tools
B

Forethought classifies support requests and resolves routine questions across chat and email.

What it should move: it resolves more tickets without staff, routes requests more accurately, and reduces handling time.

Best fit

  • It fits teams that want automation within their existing support desk.
  • Fetch uses Forethought to predict ticket content and resolve routine app and help-centre questions.[9]
  • Cotopaxi uses Forethought to answer repeated questions about promotions, orders and returns.[10]

The catch

Forethought learns from tickets and help content. Find old classification errors and stale answers before rollout.

Trains on your data: YesIncidents: 0

Assessed SEP 21, 2026

Salesforce with Agentforce

Rank 06

Salesforce with Agentforce

Systems of recordSalesforce
A+

Salesforce stores opportunities and runs agents that engage leads and update records.

What it should move: it shortens lead response and records more sales work in the CRM.

Best fit

  • It fits companies whose pipeline already lives in Salesforce.
  • Equinox uses Agentforce Sales to engage digital leads and answer membership enquiries.[11]
  • Uber uses Agentforce to engage business leads with personalised outreach.[12]

The catch

Agent pricing depends on usage and excludes seats. Estimate agent usage before wider use.

Trains on your data: No training on user dataIncidents: 4
SOC 2ISO 27001GDPRHIPAAFedRAMPdisa_impact_levelsPCI DSS

Assessed SEP 21, 2026

Gainsight

Rank 07

Gainsight

Systems of record
A

Gainsight stores customer health, engagement, success plans, and lifecycle actions.

What it should move: teams address account risks sooner, help customers use self-service, and prepare for renewals.

Best fit

  • It fits teams that need customer-success workflows beside the support queue.
  • Oleeo uses Gainsight communities and product experience tools to provide self-service answers.[13]
  • Learnship uses Gainsight automation to scale customer service and region-specific communication.[14]

The catch

Customer health records depend on accurate product, support, and commercial data. Conflicting sources increase setup and maintenance work.

Trains on your data: No training on user dataIncidents: 2

Assessed SEP 21, 2026

Where to start

Customers ask the same questions

Start with one agent using maintained help content, then measure how many questions it resolves without a handoff.

Requests need account actions

Choose an agent that can use the required systems, then restrict its actions and define exceptions before rollout.

Tickets reach the wrong team

Fix categories and ownership in the support record before adding another conversational tool.

Service affects renewals

Keep customer health and success actions beside the support queue, with one owner for each risk.

Questions

References