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On June 15, 2026, Salesforce signed a definitive agreement to acquire Fin, the company formerly known as Intercom, for roughly $3.6 billion. Fin will fold into Salesforce's Agentforce platform, with the deal expected to close in the fourth quarter of Salesforce's fiscal 2027.
If you run support on Intercom or Fin, that changes your planning. A product you bought from an independent vendor is about to sit inside the largest CRM suite on the market, which raises fair questions about roadmap, pricing, and how tightly your support stack gets tied to Salesforce. This guide compares the best Fin and Intercom alternatives for customer support in 2026: who each one is for, how they price, and how to choose. Voiceflow is first on the list, and we will be honest about where the others win.
The rebrand from Intercom to Fin already signaled that the company was betting everything on its AI agent. The Salesforce acquisition is the second, bigger signal. Here is what support leaders are weighing right now:
None of this makes Fin a bad product. It means the math changed, and a clear-eyed look at the alternatives is the responsible move.
| Tool | Best For | AI Agent Capability | Pricing Model | Enterprise + Security | Starting Point |
|---|---|---|---|---|---|
| VoiceflowOur pick | Teams building a custom AI support agent | Full control over agent logic, model-agnostic | Platform subscription | SOC 2 Type 2, PII masking | Free tier, paid plans scale up |
| Sierra | Large enterprises wanting a managed agent | Autonomous voice and chat resolution | Custom enterprise | Enterprise | Custom |
| Decagon | High-volume support automation | AI concierge for support | Custom enterprise | Enterprise | Custom |
| Ada | Automation-first CX teams | Resolution-focused automation | Custom or usage-based | Enterprise | Custom |
| Zendesk | A complete ticketing suite | AI agents as an add-on | Per agent, per month | Mature, enterprise | Per-agent tiers |
| Help Scout | Small teams wanting simplicity | AI assist on a shared inbox | Per seat or contact | Mid-market | Lower-cost tiers |
| Gorgias | Ecommerce and DTC support | AI for ecommerce tickets | Tiered plus usage | Mid-market | Tiered |
| Front | Collaborative, inbox-style support | AI assist in a shared inbox | Per seat | Mid-market | Per-seat tiers |
| Crisp | SMBs on a budget | Chatbot and live chat | Low flat tiers | SMB | Budget tiers |
Confirm current pricing with each vendor, since these models change often.
The shortlist leads with AI-agent-native platforms, because that is the category Fin competes in, then covers the established helpdesks you already know. For each one you get a clear best-for, the real strengths, the pricing model, and one honest limitation.
Best for: teams that want to build and own a custom AI support agent instead of configuring someone else's.
Where Fin is a packaged agent you turn on and tune, Voiceflow is a platform for building, launching, and scaling your own AI agents for support. Your team controls the agent's logic directly: how it reasons, when it hands off to a person, and how it pulls from your knowledge. The Knowledge Base grounds answers in your own docs and URLs, so the agent responds from your content instead of guessing. It is model-agnostic. You run on leading models from OpenAI, Anthropic, and Google, and switch when cost, quality, or compliance changes. Separate development, staging, and production environments let you ship changes the way an engineering team expects. Built-in observability and evaluations let you measure quality before and after you push. It carries SOC 2 Type 2 and PII masking for enterprise requirements. It deploys across web chat, voice, and API, and integrates with Salesforce, Zendesk, and more than 100 other apps. That means it sits on top of the stack you already run instead of absorbing you into one suite. Teams like Turo, StubHub, and Sanlam build on it.
Honest limitation: Voiceflow is a build platform, not a full ticketing helpdesk. Teams that want tickets, SLAs, and agent seats out of the box usually pair Voiceflow with their existing helpdesk rather than replacing it outright.
“We no longer worry about prompts when extracting information. We improve our knowledge base — it’s doing the heavy lifting.”— Colin Guilfoyle, Trilogy
“Integrating with platforms such as Twilio, Zendesk, Snowflake, Salesforce, and HubSpot is seamlessly executed and works exceptionally well.”— Verified G2 review (enterprise data stack)
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Best for: large enterprises that want a managed, autonomous agent and have the budget for a hands-on partner.
Sierra, co-founded by former Salesforce co-CEO Bret Taylor, builds conversational AI agents for customer experience across voice and chat. It targets the high end of the market and is known for polished autonomous resolution and a white-glove rollout.
Pricing model: custom enterprise, usually tied to outcomes.
Honest limitation: it is built for large enterprises, so it is a weaker fit for teams that want self-serve onboarding or a smaller budget, and pricing is not public.
Best for: high-volume support teams that want strong automation while keeping their brand voice.
Decagon builds AI support agents for enterprises and has a reputation for handling large ticket volumes with quality and brand control. It is a credible head-to-head option against Fin for companies whose main goal is automated resolution at scale.
Pricing model: custom enterprise.
Honest limitation: an enterprise sales motion and custom pricing make it less accessible for smaller teams that want to start quickly.
Best for: automation-first CX teams focused on maximizing automated resolution.
Ada is an automation-first customer service platform built around resolving as many conversations as possible without a human. It is mature, has strong enterprise adoption, and keeps a clear focus on resolution rate.
Pricing model: custom or usage-based.
Honest limitation: you get the most value at higher volumes, and reaching high automation rates takes real setup investment.
Best for: teams that want a complete, mature omnichannel ticketing suite.
Zendesk is still the default full helpdesk for many support orgs, with deep ticketing, omnichannel routing, reporting, and a large app ecosystem. Its AI agents layer on top as an add-on.
Pricing model: per agent, per month, with AI priced separately.
Honest limitation: the AI agent is an added cost, and a full Zendesk deployment gets expensive and heavy once you add the pieces you actually need.
Best for: small and mid-sized teams that want a simple, human shared inbox with AI assist.
Help Scout is a clean, easy shared inbox with a knowledge base and helpful AI features. Teams that value simplicity and a personal touch tend to love it.
Pricing model: per seat or contact-based tiers.
Honest limitation: it is not designed for complex enterprise routing or fully autonomous resolution at large scale.
Best for: ecommerce and DTC brands, especially on Shopify.
Gorgias is purpose-built for ecommerce support, with tight Shopify integration and AI tuned to order and product questions.
Pricing model: tiered plans with usage-based elements.
Honest limitation: it is ecommerce-centric, so it is a weaker fit for general B2B or software support.
Best for: teams that want to handle support collaboratively in an email-style inbox.
Front blends a shared inbox with collaboration features and AI assist, which suits teams that work through conversations together rather than a traditional ticket queue.
Pricing model: per seat.
Honest limitation: it is inbox-centric, with lighter autonomous agent capability than the AI-native platforms above.
Best for: SMBs and startups that want live chat and a chatbot on a budget.
Crisp bundles live chat, a chatbot, and a shared inbox at a low price point, which makes it approachable for small teams.
Pricing model: low flat tiers.
Honest limitation: it is built for smaller teams, so it lacks the scale, depth, and enterprise security posture larger organizations need.
Fin charges $0.99 per outcome, where an outcome covers a resolution, a procedure handoff, or a disqualification, with qualifications priced at $9.99. There is a 50-outcome monthly minimum when Fin runs on a non-Intercom helpdesk, and a $29 per seat per month charge when it runs on Intercom.
The model is easy to understand, but it ties your bill to volume. Take a team handling 10,000 resolutions a month. At $0.99 per outcome, that is $9,900 a month in outcome fees alone, before any seat costs. Double the volume during a launch or an outage and the bill doubles with it. For finance teams that need predictable costs, usage-based pricing is hard to plan around.
The model matters as much as the number. Seat-based tools like Zendesk and Front cost more as your team grows, not as your ticket volume spikes. Platform tools like Voiceflow let you build automation once and run it without paying per successful resolution, which changes the unit economics as you scale. For the full picture, see our breakdown of Intercom and Fin pricing.
Run any shortlist through five questions:
The acquisition is good news for Salesforce customers and worth a second look for everyone else. Fin's agent and team will strengthen Agentforce, and if you are already standardized on Salesforce, a tighter integration helps you.
If you are not a Salesforce shop, weigh three things. First, roadmap: product priorities tend to shift toward the acquirer's strategy after a deal closes. Second, integration gravity: the more your support AI lives inside one suite, the harder and costlier it is to move later. Third, timing: the deal is expected to close in the fourth quarter of Salesforce's fiscal 2027, so you have a window to evaluate options on your own terms instead of reacting after changes land.
A practical takeaway: if independence and control matter to you, this is a good moment to pilot a platform you own, even while you keep Fin running in parallel to compare.
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Yes. The company formerly known as Intercom rebranded to Fin and now operates at fin.ai, built around its AI customer service agent.
Yes. On June 15, 2026, Salesforce announced a definitive agreement to acquire Fin (formerly Intercom) for about $3.6 billion, folding the product into Agentforce. The deal is expected to close in the fourth quarter of Salesforce's fiscal 2027.
It depends on your goal. For teams that want to build and control their own AI support agent independently, Voiceflow is the strongest fit. For a managed enterprise agent, look at Sierra and Decagon. For a full traditional helpdesk, Zendesk is still the default.
Fin uses outcome-based pricing at $0.99 per outcome, with a 50-outcome monthly minimum on non-Intercom helpdesks and a $29 per seat per month charge on Intercom. Costs scale with your resolution volume.
Voiceflow, for teams that want control, model flexibility, and independence from a single suite. Sierra, Decagon, and Ada are strong AI-native options, and Zendesk is the choice for a complete ticketing suite.
Yes, especially for enterprise teams. Voiceflow lets you build a custom AI support agent, run it on the models you choose, and deploy across channels without locking your support stack into one vendor's suite.
The Salesforce acquisition is a good reason to ask a simple question: do you want to rent a packaged agent inside someone else's suite, or own one you can shape, move, and scale on your terms? Voiceflow gives enterprise teams that control, with the model flexibility and integrations to fit the stack you already run. Book a demo to see how teams like Turo and StubHub build support agents on Voiceflow.