We put six of the leading AI support platforms through the same tickets, measured what actually got resolved, and added up the real monthly bill. Here is the one we'd hand a real support queue to.
By Priya Raman, Lead Reviewer · Updated June 12, 2026 · 6 tools tested
The Verdict
For most teams already on a modern helpdesk, Intercom's Fin is the easy pick. It plugs into Zendesk, Salesforce, HubSpot, or Intercom itself, charges $0.99 only when it actually resolves a ticket, and published case-study resolution rates sit in a believable 42-67% band. If you're an enterprise replacing a contact center end-to-end, Sierra and Decagon are the two we'd shortlist, with Sierra a touch ahead on credibility and reach. If you're a small or mid-size team with a tighter budget, Tidio's Lyro is the most honest entry point we tested.
Every head of support has the same sticky note this quarter: which AI agent should actually answer your customers? The category has split in two over the last year. On one side, "chatbots" that deflect FAQs. On the other, real AI agents that take action, issue a refund, update a subscription, look up an order, and only count a win when the customer's problem is solved.
We tested six of the most-deployed platforms against the same tickets, on the same channels, with the same knowledge base. We measured resolution (not deflection), tracked what each one actually costs at three volume tiers, and read every pricing page and SOC 2 disclosure carefully. Here's exactly how we tested, and how each tool held up.
How We Tested
We seeded each platform with the same 80-article knowledge base and a 5,000-ticket history from a mid-size SaaS support queue, then ran the same 200 net-new tickets through every tool over four weeks. Resolution and action execution counted most, followed by setup time, omnichannel reach, pricing transparency, and enterprise-readiness. Scores are stored 0-100 internally and shown as /10.
Resolution Rate
We routed the same 200 net-new customer tickets through every platform, split evenly across order status, refund, account, and how-to questions, and counted a ticket resolved only if the customer confirmed the fix or didn't reply again within 72 hours. We didn't count deflections where the customer immediately re-asked the question or escalated.
Action Execution
We wired each platform into a sandboxed Shopify store, a Stripe test account, and a mock CRM, then issued 60 tickets that required a real action (process a $12 refund, update a shipping address, cancel a subscription, swap a SKU). We scored the share each tool completed end-to-end without a human touch.
Setup Time
We timed the wall-clock from sign-up to a working agent answering a real ticket on a live channel, using only product docs and the in-app onboarding (no vendor calls, no professional services). The clock stopped when the first customer message received an on-brand, accurate response.
Omnichannel Reach
We deployed each agent to web chat, email, WhatsApp, and voice where supported, then sent the same five-step conversation across two channels mid-thread to check whether context carried over. We scored the count of channels supported natively plus a context-handoff bonus.
Cost per Resolved Ticket
We modeled real monthly bills at 500, 5,000, and 50,000 conversations per month using each vendor's published 2026 pricing (or, where opaque, the lowest publicly reported figure), then divided by the resolution rate we measured to get a true cost per solved ticket rather than a sticker price.
Enterprise Readiness
We checked SOC 2 Type II, GDPR and HIPAA posture, role-based access, audit logs, citation-backed answers, and the depth of guardrails on sensitive actions like refunds and account changes, and we read each platform's published security and compliance documentation.
1
Fin
by Intercom
Editor's Choice
9.2/10★★★★⯪
The default pick for most support teams in 2026. Outcome-based pricing, works on top of your existing helpdesk, and the resolution rates hold up under real workloads.
Best for: Most support teams
Why We Like It
Pay only when Fin actually resolves a ticket, at $0.99 per outcome
Runs on Intercom, Zendesk, Salesforce, HubSpot, Freshworks, Zoho, and others without a forced migration
Genuinely fast setup, under an hour to a working agent on the channels you already use
Watch Out For
Per-outcome costs compound at high volume; budget forecasting gets harder once Fin is doing real work
Add-ons (Copilot, Proactive Support Plus) stack on top of seat and outcome fees
How It Scored
Resolution Rate9.0
Action Execution8.8
Setup Time9.4
Omnichannel Reach9.2
Cost per Resolved Ticket8.8
Enterprise Readiness9.2
2
Sierra
by Sierra
Best Value
9.0/10★★★★⯪
The enterprise pick. If you're replacing a contact center end-to-end across chat, voice, and email, Sierra has the deepest reference customer list and the most polished agent platform.
Best for: Enterprise replacing a contact center
Why We Like It
Outcome-based pricing tied to completed work, not flat subscriptions
Strong voice agent, plus chat and email from a single agent definition
Customer list (SoFi, Ramp, Brex, Cigna, ADT, SiriusXM, Rocket Mortgage) reads like a Fortune 100 directory
Watch Out For
No public pricing; enterprise contract and a deployment timeline measured in weeks
Heavier lift than Fin or Tidio if you're a smaller team
How It Scored
Resolution Rate9.2
Action Execution9.4
Setup Time7.0
Omnichannel Reach9.6
Cost per Resolved Ticket7.8
Enterprise Readiness9.8
3
Decagon
by Decagon
Best for Beginners
8.7/10★★★★☆
The other enterprise heavyweight. Strong omnichannel agent platform with Agent Operating Procedures that let CX teams build agent logic without burning engineering cycles.
Best for: Enterprises wanting CX-team-driven agent building
Why We Like It
Agent Operating Procedures (AOPs) let non-engineers define multi-step workflows in natural language
Documented deflection results above 70% on customers like Duolingo and ClassPass
Strong voice product (partnership with ElevenLabs) plus chat and email
Watch Out For
Enterprise-only pricing, reported around $95K/year minimum with multi-week deployment
Watchtower analytics only cover the AI layer, not your blended AI + human team
How It Scored
Resolution Rate9.0
Action Execution9.2
Setup Time6.8
Omnichannel Reach9.2
Cost per Resolved Ticket7.6
Enterprise Readiness9.6
4
Zendesk AI Agents
by Zendesk
Teams already standardized on Zendesk
8.2/10★★★★☆
The default if you're already on Zendesk. The AI layer is solid, the marketplace is unmatched, and you don't have to learn a new helpdesk to turn it on.
Best for: Teams already standardized on Zendesk
Why We Like It
Native to one of the most widely deployed helpdesks in the world
Mature ecosystem of marketplace apps, integrations, and intent detection
Bundled AI features in higher-tier plans reduce the need for a second vendor
Watch Out For
Reported per-resolution cost runs around $1.50 versus Fin's $0.99
The best AI features are gated behind higher Suite tiers and Advanced AI add-ons
How It Scored
Resolution Rate8.4
Action Execution8.0
Setup Time8.4
Omnichannel Reach9.0
Cost per Resolved Ticket7.8
Enterprise Readiness9.2
5
Salesforce Agentforce
by Salesforce
Salesforce Service Cloud customers
8.0/10★★★★☆
The pick for Service Cloud shops. Tight CRM integration and real autonomous resolution, but the per-conversation pricing model gets expensive fast.
Best for: Salesforce Service Cloud customers
Why We Like It
Native to Service Cloud with deep CRM and data context
Real autonomous-agent capabilities, not just FAQ deflection
Strong enterprise security and compliance posture
Watch Out For
Per-conversation pricing (around $2.00) charges for unresolved conversations too
Realizing the value requires Service Cloud licensing on top
How It Scored
Resolution Rate8.2
Action Execution8.6
Setup Time7.2
Omnichannel Reach8.6
Cost per Resolved Ticket7.0
Enterprise Readiness9.4
6
Lyro (Tidio)
by Tidio
Small businesses and e-commerce SMBs
7.8/10★★★⯪☆
The best small-team starting point. Cheapest credible AI agent in the category, fast to set up, and honest about what it can and can't do.
Best for: Small businesses and e-commerce SMBs
Why We Like It
Lyro AI Agent plan starts at $32.50/month for 50 AI conversations
Genuine free plan for very small teams to test
Strong fit for Shopify and small ecommerce support
Watch Out For
AI is more basic than Fin, Sierra, or Decagon on complex multi-step actions
Lacks a deep simulation mode or historical-ticket analysis tooling
How It Scored
Resolution Rate7.6
Action Execution7.0
Setup Time9.2
Omnichannel Reach8.0
Cost per Resolved Ticket9.0
Enterprise Readiness7.4
What changed this year
Two things. First, outcome-based pricing went from a Sierra and Intercom novelty to the model serious buyers expect.
The startup employs an outcomes-based pricing model, charging customers for completed work rather than charging flat subscription fees
. That’s now table stakes for the top of the market, and the per-conversation and per-seat models look more expensive every quarter.
Second, the gap between “chatbot” and “AI agent” finally became real.
A chatbot follows scripted rules or retrieval. An AI agent autonomously plans, acts, and handles multi-step tasks - look up order, check policy, issue refund, update record. Most tools marketed as AI agents today are still chatbots.
Fin, Sierra, Decagon, and Agentforce are the four on this list we’d call genuine agents. The rest are good at deflection but lighter on action.
Who each one is for
If you run a modern support team on any major helpdesk and want a sensible default, Fin is the pick. The pricing aligns with what you actually get, setup is fast, and you don’t have to change helpdesks to try it. If you’re a Fortune 500 brand replacing a contact center, look at Sierra and Decagon side by side. The work to choose between them is real, and worth doing properly. If you’re a Service Cloud shop, Agentforce is the path of least resistance. And if you’re a small store or early-stage SaaS, Tidio’s Lyro lets you start for $32.50 a month and grow from there.
A note on the spreadsheet you should build: model your bill against your real resolution rate, not the vendor’s.
Identical sticker prices can produce wildly different bills. A “$1 per interaction” fee on a per-conversation model will cost more than “$1 per resolution” when your AI agent resolves 60% of conversations, because you are paying for the 40% that fail, too.
That single distinction is the difference between a good and a bad procurement decision this year.
Frequently Asked Questions
What is the best AI customer support agent in 2026?
Intercom's Fin took our top spot with a 9.2 out of 10. It charges $0.99 only when it actually resolves a ticket, runs on top of Zendesk, Salesforce, HubSpot, Freshworks, and Intercom's own helpdesk without forcing a migration, and resolution rates in real customer case studies sit in a believable 42-67% range. Sierra and Decagon are the picks if you're an enterprise replacing a contact center end-to-end. Tidio's Lyro is the most honest starting point for small teams.
How is AI agent pricing actually structured in 2026?
It depends on the vendor. Intercom's Fin charges $0.99 per outcome (a resolution or a configured Procedure handoff). Zendesk AI reportedly lands around $1.50 per resolution. Salesforce Agentforce charges around $2.00 per conversation, including conversations the AI didn't resolve. Sierra and Decagon use enterprise contracts with outcome-based pricing and no published rate; Decagon's published-floor figure runs about $95K/year. Tidio's Lyro starts at $32.50/month for 50 Lyro conversations.
What's the difference between an AI chatbot and an AI agent?
A chatbot retrieves text and answers questions. An AI agent reasons over your knowledge, understands context, and takes actions in your systems: issue a refund, update an account, cancel a subscription, look up an order. In 2026 most platforms still marketed as 'AI agents' are really chatbots. Fin, Sierra, Decagon, and Agentforce are the four on this list with genuine end-to-end resolution and action execution.
Do I need to switch helpdesks to deploy Fin?
No. Fin runs as a standalone agent on Zendesk, Salesforce, HubSpot, Freshworks, Dixa, Front, Zoho, Sprinklr, and Gorgias, or bundled with Intercom's own helpdesk for the deepest integration. That portability is the single biggest reason it took our top spot. You don't pay a forced migration cost on top of the AI.
What resolution rate is realistic to expect?
Intercom claims a 76% average across 8,000+ customers, but published Intercom case studies put real Fin resolution rates between 42% and 50%. Plan your budget at the lower end. Sierra and Decagon both cite enterprise customers above 70% (and Duolingo above 80% on Decagon), but those are best-case numbers on tightly scoped workflows. A realistic blended expectation for a new deployment in 2026 is 40-60% in month one, climbing as you train the agent on your own tickets.
