8 Best Fin AI Alternatives for Customer Support Teams in 2026

Fin is an established AI support agent with outcome-based pricing that ties cost to results, and that is a real strength. But it is not automatically the right fit for every support stack.

Fin started as part of Intercom, but this comparison focuses specifically on Fin AI Agent. Teams comparing the wider helpdesk, messaging, and customer service platform can use our Intercom alternatives comparison instead.

Some teams want a subscription they can forecast instead of a per-outcome fee. Others want to keep their current helpdesk or need a different balance of AI actions, human handoff, and security controls.

We compared the alternatives based on helpdesk compatibility, action depth, handoff quality, pricing, setup effort, and security. Chatbase comes first for reasons explained below, but it is not the best choice for every situation. For a broader category comparison, see the best AI customer service agents.

Best Fin AI alternatives at a glance

• Chatbase: best for helpdesk flexibility and AI agents that can complete support tasks
• Zendesk Native AI Agents: best for teams already committed to Zendesk
• Salesforce Agentforce: best for Salesforce-centered enterprises
• Freshdesk (Freddy AI): best for budget-conscious or Freshworks-ecosystem teams
• Tidio (Lyro): best for small ecommerce and service teams
• Helply: best for B2B SaaS teams that want no seat fees
• Lorikeet: best for regulated, high-stakes support
• My AskAI: best for replacing only the Fin layer, not the helpdesk

Fin AI alternatives comparison

Here is the quick comparison based on published pricing, helpdesk requirements, and the main operational trade-off of each product. Pricing and product details were checked in July 2026.

Why consider an alternative to Fin?

Fin's base plan costs $49 a month and includes 50 outcomes, according to Fin's own pricing documentation. Additional outcomes cost $0.99 each.

An outcome means a resolution or a procedure handoff, and one outcome gets billed per conversation no matter how many messages or actions it took.

Fin also distinguishes two kinds of resolution. A confirmed resolution is one where the customer says it helped.

An assumed resolution is one where the customer just stops replying without asking anything else. Both get billed.

That's worth knowing before you estimate costs at scale, since a monthly bill can include outcomes nobody explicitly confirmed.

This pricing model ties cost to results, and plenty of teams like that. Others want a flat subscription or per-ticket rate they can budget a year out, even if it means paying something on tickets the AI doesn't fully resolve.

Helpdesk fit is the second reason teams look elsewhere. Fin runs standalone on Salesforce, HubSpot, Freshworks, Dixa, Front, Zoho, Sprinklr, and Gorgias, not just Intercom, so it isn't locked to one platform.

But some products below work as an AI layer on top of a helpdesk you already have, while others replace the helpdesk entirely. Our guide to AI tools for customer support covers those broader software types if you want that context.

There's also a timing factor. Salesforce signed a definitive agreement in June 2026 to acquire Fin for approximately $3.6 billion, according to Salesforce's own investor relations announcement.

The transaction is expected to close in the fourth quarter of Salesforce's 2027 fiscal year, subject to regulatory approval and other closing conditions.

The deal hasn't closed. Nothing about Fin's product or pricing has changed because of it, and there's no guaranteed outcome.

It's a fair thing to raise before signing a multi-year contract. It isn't, by itself, a reason to switch.

How we chose these alternatives

We checked each product against the same set of questions. Does it work with an existing helpdesk or need its own?

How far do its AI actions go beyond answering questions? How does human handoff pass context along?

How is pricing structured, and what does setup require? What security controls exist, and at which plan tier?

And could we verify the claim behind each answer against an official source?

We left off a few kinds of products. Some were mainly chat widgets with little support-specific depth.

Some overlapped heavily with something already on this list. And some had pricing or security claims we couldn't verify.

Editorial note: Pricing, product capabilities, integrations, and security information were checked against official vendor materials in July 2026. Features and prices can change, so confirm current terms before purchasing.

1. Chatbase: Best for helpdesk flexibility and action-based support

Best for: Support teams that want to keep their existing helpdesk or manage AI and human support through one platform.

Pros

• Works with an existing helpdesk or provides its own built-in Helpdesk
• Native and custom Actions for retrieving data and completing support tasks
• Procedures for repeatable, multi-step customer support workflows
• Human escalation when an issue needs team involvement
• Deployment across chat, email, voice, WhatsApp, Messenger, and Instagram
• Testing, analytics, and knowledge-gap detection

Cons

• SSO, audit logs, and HIPAA eligibility require the Enterprise plan
• Additional credits, team members, and branding removal are separate add-ons

How Chatbase differs from Fin

Chatbase is an AI customer support platform built for more than answering FAQs. Teams can deploy its AI agents alongside an existing helpdesk or manage AI and human conversations through Chatbase's built-in Helpdesk.

Chatbase fits SaaS support, ecommerce and retail teams, digital services, and enterprise support because the same agent can connect to account systems, handle order and billing workflows, work across channels, and escalate complex cases to a human.

The pricing model is also different. Fin charges according to billable outcomes, while Chatbase charges a monthly subscription with an included pool of message credits. This gives teams a known base subscription and credit allowance, although additional usage can still increase the final cost.

Chatbase can be a stronger fit for teams that want more choice over both their support stack and billing model. Teams already deeply configured around Intercom, comfortable with outcome-based pricing, may not have much reason to move.

Actions, Procedures, and human handoff

Chatbase agents can do more than return information from a knowledge base.

Actions allow an agent to retrieve live information, update records, trigger workflows, schedule meetings, and complete tasks through connected systems such as Stripe, Calendly, Slack, and Shopify.

For a practical example, see how AI agents take action across customer workflows, from retrieving account information to completing subscription changes.

Procedures guide the agent through recurring multi-step situations, such as:

• Processing a return
• Handling a subscription change
• Troubleshooting an account issue
• Collecting required information
• Escalating a request to the right team

When the agent cannot safely complete a request, it can pass the conversation to a human rather than continuing with an uncertain answer. The built-in Helpdesk gives teams a central place to review, assign, and resolve those conversations.

These capabilities reflect the broader ways AI is used in customer service, including accessing live data, completing tasks, following support processes, and escalating requests that require human judgment.

Customer results

Chatbase's published customer story about Jumia's support rollout across eight African markets shows how this model can work at scale.

Jumia reports that:

• 80% of inbound queries are resolved without human intervention
• Chatbase handles 50% of total support volume
• More than 1,500 conversations run through the platform each month
• Customers receive support through WhatsApp

That is one customer's result rather than a guaranteed benchmark. Teams should compare it with broader AI customer service data before setting their own automation or resolution targets.

Chatbase pricing

According to Chatbase pricing:

• Hobby: $32 per month when billed annually, with 500 message credits
• Standard: $120 per month, with 4,000 credits, Helpdesk, Voice, Telephony, and advanced integrations
• Pro: $400 per month, with 15,000 credits and advanced analytics
• Enterprise: Custom pricing with SSO, audit logs, custom roles, and HIPAA eligibility

Voice is available on the Standard plan and above, so the same AI agent, knowledge base, and Actions used for chat can also support customers by phone. For a closer look at how AI voice agents work in customer service, including where they fit best and when to hand off to a human, see our dedicated guide.

Teams with regulated or enterprise requirements should review Chatbase's security and compliance controls before selecting a plan.

A practical next step is to test Chatbase against your own documentation, one real support action, and one conversation that should escalate to a human.

2. Zendesk Native AI Agents: Best for teams moving support into Zendesk

This section covers Zendesk's native AI Agents, built into Zendesk Suite. Zendesk also owns Forethought, a separately branded AI agent.

Zendesk's own product page says it works with Zendesk or another service platform, with no migration needed. If you want Zendesk's AI without adopting Zendesk as your helpdesk, ask about Forethought specifically.

It's a different product from the native Suite AI Agents reviewed here.

Pros

• AI Agents, an AI Knowledge Base, and Action Builder ship from the Suite Team plan
• AI and human agents share one native inbox, so handoff needs no separate integration
• A marketplace of more than 1,800 third-party apps and integrations
• Intelligent Triage and generative voice AI at the Enterprise tier

Cons

• Requires Zendesk as the whole helpdesk, with no standalone mode in this specific product
• The per-resolution AI charge isn't listed on the public pricing page

Choosing native Zendesk AI Agents means choosing Zendesk as your whole support platform, not just an AI vendor. Suite Team runs $55 per agent per month on annual billing.

Suite Professional is $115, and Suite Enterprise is quote-based. Copilot adds $50 per agent on any tier.

For a team already juggling a growing support queue, that native inbox is the real appeal: nobody's stitching together a separate AI tool and hoping the handoff doesn't lose context.

AI usage bills through what Zendesk calls "Automated Resolutions," and you're charged only for requests the AI fully resolves without escalating.

Zendesk doesn't publish the per-resolution rate itself, so confirm that figure with sales before you budget around it.

If you want to keep a different helpdesk and aren't interested in evaluating Zendesk's separately branded Forethought product, Fin is the option that lets you do that.

Pricing

Suite Team $55/agent/month, Suite Professional $115/agent/month, Suite Enterprise custom, plus a $50/agent Copilot add-on and metered Automated Resolution charges above your plan's included allowance.

3. Salesforce Agentforce: Best for Salesforce-native service automation

Pros

• Direct read and write access to Salesforce records, cases, and Flows
• Multiple pricing options, including conversations, Flex Credits, and per-user add-ons
• A free Foundations tier for Enterprise Edition customers to test before committing
• Native voice, chat, and messaging through Salesforce's own channel infrastructure

Cons

• Requires Salesforce Service Cloud underneath it, so it isn't portable to another CRM
• Many deployments also rely on Salesforce Data Cloud, priced separately and not itemized on the Agentforce pricing page

Agentforce acts on live Salesforce data without a separate integration layer. For a team already running Service Cloud, that's a real advantage over bolting on a third-party AI agent.

Per Salesforce's own Agentforce pricing page, three approaches are available: $2 per 24-hour conversation session, Flex Credits at $500 per 100,000, or per-user add-on licensing, which runs $125 a month for Sales and Service add-ons or $150 a month for Industries add-ons.

A standard action costs around 20 credits (about ten cents), and a voice action costs about 30 credits. Salesforce's own FAQ confirms Flex Credits and Conversations can't be used in the same org.

That flexibility comes with a dependency Fin doesn't have. Adopting Agentforce for the AI alone normally means operating within Salesforce's wider CRM platform, and often Data Cloud on top, at a cost that isn't published up front.

Confirm whether your use case needs Data Cloud, and what it costs, directly with Salesforce before you sign anything.

Pricing

$2/conversation, or Flex Credits at $500/100,000, or per-user add-on licensing at $125/month (Sales and Service) or $150/month (Industries), with a free Foundations tier for existing Enterprise Edition customers.

4. Freshdesk Freddy AI: Best lower-cost helpdesk platform

Pros

• One of the lower full-platform starting prices among the helpdesk-native options here
• Freddy AI Agent Studio supports Conversational and Vertical AI Agents plus Agentic Workflows
• Omnichannel support across web, SMS, messaging, and email
• 500 AI Agent sessions included once before metered pricing starts

Cons

• Requires adopting Freshdesk as the whole helpdesk, with no standalone mode
• Freddy AI Agent sessions and Freddy AI Copilot carry additional usage or per-agent charges

Freddy AI's billing unit is a session, not a resolution. That's the main operational difference from Fin.

A session covers a whole 24-hour chat window, or a 72-hour email thread, as a single unit. So a long back-and-forth doesn't rack up cost the way Fin's per-outcome model can.

Growth runs $29 per agent per month, Pro is $79, and Enterprise is $119, all billed annually.

Freddy AI Agent sessions cost $49 per 100 once you're past the included 500, and Freddy AI Copilot, the assistant tool for human agents, costs $29 per agent per month on annual billing, available on Pro and Enterprise plans. For a lean team watching every line item, that session-based unit is easier to plan around than a per-resolution fee that scales with success.

Like Zendesk Native AI Agents, this only works if you're willing to run Freshdesk as the ticketing system underneath the AI.

Pricing

Growth $29/agent/month, Pro $79/agent/month, Enterprise $119/agent/month, Freddy AI Agent sessions at $49 per 100 after the complimentary allowance, and Freddy AI Copilot from $29/agent/month annually.

5. Tidio Lyro: Best lightweight option for small ecommerce teams

Pros

• One of the lowest starting prices in this comparison
• Lyro can run standalone on Zendesk, Salesforce, or another helpdesk, similar in spirit to Fin's standalone mode
• Native Shopify actions from the Growth tier up
• A Premium tier with a guaranteed 50% Lyro resolution rate and pay-per-resolution billing

Cons

• SSO and formal compliance features are gated to the custom-priced Premium tier
• The lower tiers that make Tidio attractive don't include those controls

Lyro, Tidio's AI agent, can be bought as a standalone add-on. It doesn't require Tidio's own platform, which puts it closer to Fin's operating model than most budget-tier tools manage.

A free plan is available. Starter is $24.17 a month for 100 billable conversations.

Growth starts at $49.17, and Plus starts at $300 plus usage. The standalone Lyro add-on starts at $32.50 a month for use with another helpdesk.

For a small ecommerce team watching seasonal spikes closely, that low entry point matters. But the trade-off shows up at the top of the ladder.

Premium, which adds the guaranteed resolution rate along with SSO and compliance, is custom-priced. A team that needs those controls now may find Tidio's advertised low cost isn't what they'll actually pay.

Pricing

Free plan available; Starter $24.17/month; Growth from $49.17/month; Plus from $300/month plus usage; Premium custom-priced with guaranteed resolution rate, SSO, and compliance features.

6. Helply: Best for B2B SaaS teams avoiding seat fees

Pros

• Flat $1 per ticket with unlimited seats and AI usage included in that price
• Churn detection and upsell-opportunity surfacing built into every ticket
• A full helpdesk includes: shared inbox, email/chat/messaging, knowledge base, analytics, and API access

Cons

• Not built for B2C, ecommerce, or self-serve product-led growth companies, by Helply's own positioning
• Carries a 250-ticket monthly minimum and a $3,000 minimum annual contract, so it isn't literally free

Helply takes a pricing stance close to the opposite of Fin's pricing stance. Fin charges per outcome, on top of whatever helpdesk seat cost you already pay.

Helply's flat per-ticket price includes the helpdesk itself, confirmed on its own current pricing page. There's no separate seat-based bill on top, though the per-ticket rate applies to every conversation, no matter how big your team is.

An earlier Helply blog post described a different pricing structure. The flat per-ticket model shown on the live pricing page is the current one.

For a B2B SaaS team that's tired of paying per seat just to add headcount for reviewing conversations, that's a genuine relief. E-commerce, B2C, and product-led growth companies fit poorly here, by Helply's own admission.

Pricing

$1 per ticket, 250-ticket monthly minimum, $3,000 minimum annual contract, no separate seat fees.

7. Lorikeet: Best for regulated and complex support workflows

Pros

• Security certifications (SOC 2, ISO 27001, HIPAA BAA) are tiered directly into published plans rather than reserved for a custom contract
• Connects to Zendesk, Intercom, HubSpot, Front, and Salesforce on the entry plan, and any platform on the next tier
• Unlimited testing, simulations, and evaluations at every published tier
• Custom guardrails and multi-step "concierge actions" built for high-consequence workflows

Cons

• Priced for complexity, so a team with mostly simple tickets pays for capability it won't use

Lorikeet layers onto an existing helpdesk the same way Fin's standalone mode does. But it's pricing bundles security certifications right into specific plans, instead of holding them back for a custom enterprise quote.

Start runs $1,500 a month on annual billing, with 18,000 credits a year. Chat, email, and SMS resolutions cost 0.95 credits each, voice costs 1.5 credits, and there are no seat fees. Scale is $4,000 a month with lower per-resolution rates, and adds a HIPAA Business Associate Agreement, and Enterprise is custom.

For a fintech or healthtech team where a wrong action carries real regulatory weight, that trade-off matters. Having SOC 2 and HIPAA built into the plan tier, not negotiated separately, removes a real point of friction.

This published, tiered pricing is worth noting on its own. It runs against claims some other sources have made that Lorikeet's pricing isn't public.

When support volume is mostly straightforward questions rather than complex, regulated, multi-step cases, Lorikeet's depth and cost stop paying for themselves, and Fin covers that simpler volume just fine.

Pricing

Start $1,500/month (18,000 credits/year); Scale $4,000/month with lower per-resolution rates and a HIPAA BAA; Enterprise custom.

8. My AskAI: Best for replacing only the AI layer

Pros

• Installs inside Intercom, Zendesk, Freshdesk, Gorgias, or HubSpot without requiring a platform change
• Flat per-ticket pricing instead of a fee tied to whether the AI resolved the conversation
• Effective per-ticket cost falls as monthly volume rises on the Scale plan
• SOC 2 Type II certified and GDPR compliant, per My AskAI's own security page

Cons

• It's a layer added to a helpdesk you already pay for, not a combined platform
• Adds its own separate bill on top of your existing helpdesk license

My AskAI solves one specific problem. If your team likes its current helpdesk and doesn't want to touch it, but wants to stop paying an outcome fee that scales with success, this is built for that.

According to My AskAI's own published pricing content, Pro is $199 a month with 1,000 tickets included and $0.12 per extra ticket, up to 5,000.

Scale is $499 with 2,000 credits included and $0.10 per extra credit, and Enterprise is $999 as a base with no included credits, aimed at teams that need extras like dedicated support or invoiced billing rather than the lowest unit cost.

These figures come from the vendor's own blog citing its own pricing page. They weren't independently re-checked against a live pricing page in this research.

Pricing

Pro $199/month; Scale $499/month; Enterprise $999/month as a base, with per-ticket and per-credit overage rates on each plan.

What support teams should not automate

Every product above is built to resolve real conversations, not just deflect them. None of them should be set up to handle everything on their own.

A few categories are worth keeping on a "confirm first" or "never automate" list, regardless of which alternative you pick:

• Account deletion, legal matters, and safety concerns: These need a human decision, not an AI judgment call, no matter how confident the model sounds.
• Anything involving money the customer didn't explicitly request: A refund the customer asked for is a reasonable action for an AI agent to take. A refund the AI decides to issue on its own is a different risk profile.
• A customer who's already escalated once: If someone asked for a human and got looped back to the AI, that's a trust problem, not a routing problem. Set the rule so a repeat request always reaches a person.
• Anything the knowledge base doesn't clearly cover: An AI that answers confidently from thin or conflicting sources is worse than one that says "let me get someone who can help."

Whichever alternative you choose, the practical test is the same: can you clearly describe, in one sentence, what it should never do without asking first? If you can't answer that before launch, the scope isn't set yet, and it's worth fixing before customers find the gap for you.

Which Fin alternative fits your support stack?

How to test a Fin alternative before switching

Test each finalist against the same real customer support workflows, not a feature checklist. Run five scenarios: a plain documentation question, an account-specific billing request, an authenticated action like a refund or subscription change, a multi-step troubleshooting case the AI probably can't finish, and a request that should clearly go to a human.

For each one, compare answer quality, whether the action actually completed, how much context reached the human agent at handoff, and how that interaction would have been billed under the product's own pricing model.

A tool that answers well but charges per attempted resolution regardless of success behaves very differently in your monthly bill than one that only charges for a confirmed one.

Once a finalist passes those tests, plan a phased implementation of AI in customer service instead of moving all your support traffic at once.

When Fin is still the better choice

If your support operation already runs deep inside Intercom, with workflows already tuned and performing, the cost of switching may outweigh whatever an alternative offers.

Fin is an established product with a large customer base, and for some teams, that maturity matters more than a different pricing structure.

If outcome-based pricing genuinely fits how your team thinks about the AI's job, paying for results rather than a flat fee, Fin's model may suit that better than a subscription or per-ticket alternative.

And if you're already hitting your resolution and handoff goals with Fin today, switching mainly over pricing preference or acquisition uncertainty can create migration work without fixing anything that's actually broken.

Final recommendations

For support teams that want flexibility to keep or replace their helpdesk, Chatbase is a strong starting point. For teams already committed to Zendesk or Salesforce, the AI built into that platform is usually more practical than adding a separate vendor.

B2B SaaS teams that want to avoid seat-based costs, with revenue signals bundled into support, should take a close look at Helply. Regulated, high-stakes support operations should start with Lorikeet's tiered security.

And if the only real complaint about Fin is the bill, not the product, My AskAI solves that specific problem without replacing the existing helpdesk.

Whichever two or three you shortlist, test them against the same knowledge question, the same authenticated action, and the same escalation case, using each vendor's actual pricing model instead of a rough estimate. That comparison will tell you more than any list can.

Frequently asked questions

Does Fin only work with Intercom?

No. Fin runs standalone on several other helpdesks, including Salesforce, HubSpot, Freshworks, Dixa, Front, Zoho, Sprinklr, and Gorgias, at the same published per-outcome rate, although minimum commitments may apply.

Is Chatbase cheaper than Fin?

It depends on your resolution volume. Chatbase charges a subscription plus message credits, while Fin charges per outcome, so the two models aren't directly comparable without modeling your own expected conversation and resolution volume.

Can I switch from Fin without losing my current helpdesk?

Yes, with several of these options. Chatbase, Lorikeet, and My AskAI can all run as an AI layer on top of the helpdesk you keep. Zendesk Native AI Agents, Freshdesk, and Salesforce Agentforce require adopting their own platform as the helpdesk underneath.

What happens to my Fin contract if the Salesforce acquisition closes?

Nothing has changed yet. The deal was signed in June 2026 but hasn't closed, and neither company has announced pricing or product changes. It's reasonable to ask Fin directly about contract terms before signing a new multi-year agreement, but there's no confirmed change to plan for right now.