If your team handles fewer than a few hundred support tickets a month, none of the enterprise agents on this list will pay back. The reason to deploy an AI support agent in 2026 is sustained volume of repetitive work: order lookups, refunds, subscription changes, account questions that a well-configured agent can finish end-to-end. We tested for that.
Who this is for
This guide is for the support lead or COO picking an AI agent for a real support org, not the tinkerer building a personal chatbot. If you run a SaaS product on Zendesk or Intercom and want to test an agent this quarter, Fin is where to start. If you’re a Fortune-scale enterprise with a six-figure budget and complex, action-heavy workflows, Decagon and Sierra are the two names worth an RFP. If you sell on Shopify, Gorgias is the specialist choice. And if you’re a global brand already standardized on Zendesk or Salesforce with omnichannel volume, Ada earns its seat.
Our pick: Fin
The reason Fin wins the default slot in 2026 is that it’s the only serious agent in the category you can evaluate honestly without a sales gate. Pricing is public at
around $0.99 per resolution
, and
Fin runs standalone on Salesforce, HubSpot, Freshdesk, Zoho, Front, Gorgias, and others at 99¢/resolution with no Intercom seats
. You can point it at a real helpdesk and get numbers back before signing anything.
The resolution numbers hold up under third-party scrutiny better than any other tool we evaluated.
Fin measures resolution rate as the percentage of conversations resolved end-to-end without human intervention, counting only genuine positive resolutions. The current average across 12,000 customers is 76%, improving approximately 1% per month. Ecommerce deployments specifically achieve 70-84%, and independent head-to-head testing has shown Fin at 73% versus Decagon at 49% and other competitors at 50%.
That Vanta evaluation is the closest thing this category has to a controlled benchmark, and Fin came out on top of it.
The catches are worth naming. Production data isn’t as clean as the aggregate:
Vendors advertise 67-86% resolution. Production tells another story: Intercom’s own Fin case studies cluster at 42-50%, an independent 500-ticket small-business test landed at 38%, and B2B deployments run 17-25 points below vendor benchmarks because B2B tickets are harder. The honest planning range is 40-70%, driven mostly by your ticket mix and knowledge-base quality, not the vendor’s model.
And Lorikeet’s teardown flags Fin as
higher ceiling for self-service questions, weaker on multi-step actions in backend systems
, which is where the enterprise platforms genuinely earn their premium.
One thing to note:
Fin, the platform formerly called Intercom, is the clearest example. Intercom rebranded to Fin in May 2026 (its model is now Apex), and in June 2026 Salesforce signed to acquire it for around $3.6B, folding it into Agentforce.
The product roadmap is likely to change under Salesforce ownership. We’ll re-run the rubric when it does.
The enterprise picks: Decagon and Sierra
Decagon and Sierra are the two names that show up on every serious enterprise RFP in 2026, and they earn it, but only above a threshold.
Decagon ($4.5B valuation) and Sierra ($15.8B, $100M+ ARR in under two years) are real, and unbuyable below roughly $95K-$150K/yr.
If you’re a small team, don’t spend cycles evaluating them. If you’re past that threshold, they solve genuinely different problems.
Decagon is the configurable option. Its differentiator is
‘Agent Operating Procedures (AOPs)’, a proprietary system where non-technical teams define complex support workflows in plain language rather than coded decision trees. AOPs “combine the flexibility of natural language with the precision of coded logic,” according to Decagon’s product page.
Voice is a real product, not a checkbox:
Voice is a standout feature. Decagon Voice 2.0 supports inbound and outbound calls with sub-second latency, customisable tone and speed, interruption handling, and branded caller IDs. Voice integrations include Amazon Connect, RingCentral, and SIP trunking. The Spring 2026 release added outbound voice, proactive AI-initiated calls, campaigns, callbacks, and voicemail handling.
The customer roster is legitimate too:
Trusted by companies like Eventbrite, Bilt, Webflow, Substack, Vanta, Rippling, and Curology
.
The pricing is where the friction lives.
The $50,000 annual platform fee is the baseline. Multiple third-party sources, including eesel AI, Quiq, and Featurebase, corroborate this figure. It covers access to the platform, all channels, integrations, Agent Operating Procedures (AOPs), Watchtower QA monitoring, testing tools, and analytics.
Layered on top of that is either per-conversation or per-resolution usage. And there’s a real gap in the integration story:
Freshdesk is not listed on Decagon’s integrations page, a significant gap for the thousands of companies running on it. And Decagon has no marketplace listings on the Zendesk Marketplace, Intercom App Store, or Salesforce AppExchange, all integrations are direct API connections.
Sierra is the bespoke, brand-first pick.
Sierra was co-founded in 2023 by Bret Taylor, former Co-CEO of Salesforce and former Chairman of OpenAI’s board, and Clay Bavor, a former senior Google executive. As of mid-2026 Sierra had raised roughly $1.6 billion in total funding, including a $950 million Series E, at a reported valuation of about $15.8 billion, with annual recurring revenue reported at approximately $200 million. The company says it serves around 40% of the Fortune 50.
The customer list is the giveaway on what Sierra is for:
The company targets mid-market to enterprise businesses across retail, consumer electronics, and subscription services, and works with 40% of the Fortune 50. Named clients include WeightWatchers, SiriusXM, Sonos, ADT, Chime, Cigna, Nordstrom, Nubank, Ramp, Rivian, Rocket Mortgage, Singtel, Sutter Health, and Wayfair.
These are not pilot logos.
Sierra’s resolution disclosures are stronger per-customer than they are on aggregate:
Sierra has cited customer-specific resolution rates of 70-90%, including Sonos at 75% and Ramp at 90%. These are drawn from partnership announcements and have not been independently benchmarked.
Voice is now first-class after the Receptive AI acquisition, and
Ghostwriter is Sierra’s agent for building agents: a tool that lets teams describe the customer experience they want in natural language and have Sierra assemble a working agent that can chat, take phone calls, speak dozens of languages, take action on systems of record, and operate inside Sierra’s guardrails. It is designed to compress and de-skill the configuration work that previously required Sierra’s professional-services team, reducing time-to-value for new deployments.
Sierra also earned
FedRAMP® High, the standard for cloud companies working with U.S. federal agencies
in June 2026, which opens up federal deployments.
Between the two: Sierra tends to win on brand-voice consistency, voice AI depth, and outcome-based pricing tied to resolutions rather than conversations. Decagon tends to win on configurability, testing infrastructure, and depth of published performance data. Both are managed-service in practice. Plan for a 30-to-90-day onboarding either way.
The omnichannel enterprise pick: Ada
Ada is the platform to shortlist when you have a genuinely global operation running on Zendesk or Salesforce and you need one AI brain across many channels.
Ada’s Reasoning Engine, launched in February 2026, is the patent-pending AI foundation that powers Ada’s agents across all channels. Rather than using separate logic trees for voice, chat, and email, the engine provides one unified AI brain that applies consistent policies and knowledge everywhere. The engine uses a dual-reasoning architecture: fast responses for simple inquiries handled in real time, and background processing for complex multi-step tasks (like invoice lookups or order edits) that run without interrupting the customer conversation.
Ada’s scale is real:
Ada is the omnichannel AI platform for customer service - built to automate, scale, and elevate the customer experience across support channels with AI agents. Since 2016, Ada has powered more than 5.5 billion interactions for global brands like Cebu Pacific, IPSY, monday.com, Pinterest, Square, and Sky, delivering extraordinary experiences at scale.
And it’s squarely in the enterprise category:
Ada’s own pricing page states the platform is designed for companies with at least 300,000 annual customer service conversations, which puts it firmly in enterprise territory. Typical clients are large SaaS companies, fintech firms, and e-commerce retailers dealing with high volumes of repetitive inquiries.
The honest caveat is Ada’s positioning.
The first thing to understand: Ada is not a helpdesk. A screenshot of the Ada homepage. You don’t replace Zendesk or Salesforce with Ada. You add Ada on top of your existing stack.
That’s fine if you’re already committed to your helpdesk; it’s another line item if you’re not. Pricing anchors publicly at
Ada starting at $30,000 USD/company/year (default plan). It also notes that Ada uses a consumption-based model with economies of scale, which can make cost forecasting harder as volume grows.
The Shopify specialist: Gorgias
Gorgias is the pick if your business runs on Shopify and your ticket mix is dominated by order lookups, returns, and pre-purchase questions. Pricing is in the same per-outcome band as Fin,
Gorgias at $0.60-$1.27
, but its integrations and automation are purpose-built for retail.
Ecommerce-focused platforms (Gorgias, Zowie) optimize for Shopify and online retail workflows. They provide tight ecommerce integrations and retail-specific automation but have narrower capabilities outside the ecommerce vertical.
If you sell direct-to-consumer, that narrowness is a feature. If you don’t, a horizontal agent will serve you better.
How to choose between them
The decision tree is shorter than the comparison table suggests. Start with volume and helpdesk. If you’re running less than a few thousand tickets a month on any helpdesk, start with Fin: the trial is unlimited, the pricing is public, and the deployment path is measured in days rather than months. If you’re on Shopify and your work is retail, start with Gorgias. If you’re a global omnichannel brand already committed to Zendesk or Salesforce, Ada earns the shortlist. And if you’re past $95K/year in support software budget with genuinely action-heavy, multi-step workflows, Decagon and Sierra are the two names to compete against each other. Sierra for brand-voice and voice AI, Decagon for configurability and QA depth.
One final note. The category still oversells itself.
The pattern repeats at the category level: Gartner predicts agentic AI will autonomously resolve 80% of common issues by 2029, common is the load-bearing word. The working architecture in 2026 is hybrid: AI resolves the repetitive 40-70%, humans own escalations, edge cases, and angry customers, and every AI conversation has a clean handoff path. Tools that would rather escalate than guess (Lorikeet’s explicit design stance) age better than tools tuned to maximize their resolution count.
Plan for hybrid. The AI isn’t replacing your support team in 2026, it’s taking the repetitive layer off the top so your team can do the work only humans can.
