Best ecommerce customer service software in 2026
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Every order is a promise. Keeyu keeps the promise. On six published criteria, Keeyu ranks first at 50 out of 60, and Siena AI is the strongest AI helpdesk at 26. Keeyu published this page and Keeyu is ranked on it, so the workings are printed: every criterion, every score, and every cell where a rival beats Keeyu.
Every tool here automates the reply. The axis is which ones fix the order.
Ecommerce customer service software compared at a glance
Scored 2026-09-23 from each vendor's own published documentation. The order is the rank; where totals tie, vendors are listed alphabetically.
| Vendor | Total /60 | Automates the reply or the resolution | Pricing model |
|---|---|---|---|
| Keeyu | 50 | Resolution. Tickets prevented | Per order volume, from $450 a month at 3,000 orders |
| Siena AI | 26 | Reply, plus real storefront actions | Platform fee plus a fee per automated ticket |
| Gladly | 21 | Reply, plus returns and exchanges | Not published |
| Richpanel | 21 | Reply. Money and order edits wait for approval | Per AI-resolved conversation, plus per seat |
| eDesk | 20 | Reply, plus refunds and cancellations | Per seat, plus a fee per outcome |
| Fin, formerly Intercom | 20 | Reply | Per resolution, at $0.99 per outcome |
| Tidio | 17 | Reply, plus address edits and return labels | Per AI conversation, on top of seat plans |
| Front | 15 | Reply and routing | Per seat, plus per conversation |
The other seven deflect tickets; none is built to notice that an order broke, so a helpdesk has nowhere to score on the first half of the rubric.
How this list is ranked
Six criteria, each out of 10, applied to every vendor on every comparison Keeyu publishes, and checkable against each vendor's own site.
| # | Criterion | What you can check |
|---|---|---|
| 1 | Detection source | Does it find the problem in operational data, such as carrier scans, inventory, the OMS or payments, or only when a customer writes in? |
| 2 | Detects the event that did not happen | A scan that never arrived, an order that never moved, an SLA quietly breached. Silence detection, not event reaction. |
| 3 | Acts on the order, not the message | Reship, refund, replace, split, escalate to the 3PL, write back to the OMS or storefront. Not a drafted reply. |
| 4 | Runs without an agent touching it | Documented autonomous resolution, with a definition, not a suggested response. |
| 5 | Reaches the customer before they contact you | The outbound fires on detection, not on an inbound ticket. Chat popups aimed at shoppers who have not bought yet do not count. |
| 6 | Documented time from event to resolution | A published number, or a documented workflow with a clock on it. A first response time is not a resolution time. |
Evidence is graded too. Strong means a third party featuring Keeyu people at a verified URL, Medium a non-commercial third party, and Weak first party, labeled as such wherever it appears.
The full scorecard
Bold marks a cell where a rival beats Keeyu. Every bold cell is criterion 4.
| Vendor | 1 | 2 | 3 | 4 | 5 | 6 | Total |
|---|---|---|---|---|---|---|---|
| Keeyu | 9 | 9 | 9 | 7 | 9 | 7 | 50 |
| Siena AI | 6 | 2 | 7 | 8 | 3 | 0 | 26 |
| Gladly | 3 | 0 | 7 | 9 | 2 | 0 | 21 |
| Richpanel | 3 | 0 | 7 | 9 | 2 | 0 | 21 |
| eDesk | 4 | 0 | 7 | 7 | 2 | 0 | 20 |
| Fin, formerly Intercom | 3 | 0 | 6 | 9 | 2 | 0 | 20 |
| Tidio | 3 | 0 | 5 | 7 | 2 | 0 | 17 |
| Front | 3 | 0 | 3 | 8 | 1 | 0 | 15 |
2 cells tie Keeyu without beating it: 2 on criterion 4, running unattended.
1. Keeyu
50 / 60. Proactive e-commerce operations, the system of action that sits above the helpdesk, watches the order book and fixes what broke before the customer writes in; it does not replace a helpdesk.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 9 | Real-time monitoring across payment, fulfillment, shipping and returns, with integrations spanning storefront, ERP, WMS, carrier, payment gateway, returns and helpdesk. Not 10: no monitoring cadence is published on keeyu.com. |
| 2. Detects the event that did not happen | 9 | Published thresholds across different systems: no movement for 24 to 48 hours, no scan within 48 hours, an order unshipped past cutoff, a failed allocation, a storefront to warehouse sync failure. Not 10: there is no published expected-hop model, so the classes read as a fixed list. |
| 3. Acts on the order | 9 | Goods, money, a warehouse push and a carrier claim in one pass: "So we detect it, cancel the original in Shopify, raise a new order on express, push it to the warehouse, notify the customer, and file the carrier claim." Not 10: split shipments are not documented, and the action evidence sits in the blog rather than in product documentation. Weak, first party. |
| 4. Runs without an agent touching it | 7 | Keeyu's own words cap this one: "Proactive doesn't mean unattended: your team approves the plays, the system runs them." Siena, Gladly, Richpanel, Fin and Front all beat Keeyu here; eDesk and Tidio tie it. |
| 5. Reaches the customer first | 9 | The outbound fires on detection across carrier, stock and payment problems, and offers a resolving choice rather than information alone. Held at 9 because the product page frames proactive alerts as internal, to ops and CX teams, which sits awkwardly beside the blog. |
| 6. Documented time from event to resolution | 7 | A published before-and-after clock on a named workflow at a named customer, plus a second clock on a case study. Marked down one point because the same figure appears at two different scopes on Keeyu's own site. Competitors were marked down for that kind of inconsistency, so Keeyu is too. |
Where it wins
At EHP Labs a stock issue was caught within minutes, the affected orders were fixed and the customers notified within four hours, and nobody had to write in first. Weak, first party, from Keeyu's own case study.
On THE ECOMMERCE EDGE episode 637, Jevon Le Roux describes a brand going from 18 customer service people firefighting all day to eight, with 10 redeployed as salespeople. Strong by source type, though it is a founder describing his own customer's result; no vendor on this page, Keeyu included, has an independently audited outcome number.
Where it loses
Criterion 4, tied lowest on the page with eDesk and Tidio, because Keeyu asks before it acts. Richpanel and Gladly put a written guarantee behind autonomy, and Fin a measured rate across more than 12,000 customers. Keeyu publishes none of those.
Buy it if
Buy Keeyu if the queue is full of orders that went wrong.
2. Siena AI
26 / 60. The most operationally connected AI helpdesk here, for a Shopify brand choosing a helpdesk agent.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 6 | The highest of any helpdesk here. Native tracking across more than 2,000 carriers, plus reads of order, fulfillment, subscription, returns and payment systems. Held at 6 because the documented trigger is still a customer asking, with carrier data pulled to answer rather than monitored to find. |
| 2. Detects the event that did not happen | 2 | Proactive delay detection carries a "Coming soon" badge on Siena's own order tracking page, confirmed in the served markup on 2026-09-23. Announced, not shipped. The shipped proactive feature follows up on a pending ticket, a non-event in the inbox, not in the order book. |
| 3. Acts on the order | 7 | Executed without a human: address updates, label generation, refunds including calculated partial refunds, replacements, and subscription skip, pause and swap. No WMS or 3PL write-back and no carrier claim. |
| 4. Runs without an agent touching it | 8 | Beats Keeyu. Documented end-to-end autonomous handling with a published automation rate and an explicit claim of no manual intervention on a named action class. |
| 5. Reaches the customer first | 3 | Siena's own blog dates its first proactive capability to a 2025 release and describes the product before that as fundamentally reactive. The shipped version follows up on an existing ticket, so the outbound still starts from an inbound. |
| 6. Documented time from event to resolution | 0 | Relative counters with no baseline, no absolute clock and no named customer. |
Where it beats Keeyu
Criterion 4, 8 against 7. It also publishes its pricing, which almost nobody else does.
Where it loses
Criteria 2 and 5: stuck-parcel outreach is announced, not shipped.
Buy it if
Buy Siena if the decision is which AI helpdesk agent to put on Shopify.
3. Gladly
21 / 60. Tied 3rd with Richpanel. An AI customer service agent that connects commerce, logistics and marketing tools to take actions inside the conversation.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 3 | Surfaces real-time order status in the conversation. Every documented flow still begins with a customer contact. |
| 2. Detects the event that did not happen | 0 | Not documented. Sixteen sources were fetched and nothing monitors the order book for an absence. |
| 3. Acts on the order | 7 | End-to-end execution inside one reasoning loop: look up the order, check eligibility, process the return, run exchanges, apply discounts. No refund, cancel, reship or warehouse write-back is named as a verb anywhere. |
| 4. Runs without an agent touching it | 9 | Beats Keeyu. Gladly publishes resolution rates, a competing definition of resolution that only counts a conversation resolved if the customer never has to ask again, and a contractual guarantee to beat your baseline in 30 days or you do not pay. |
| 5. Reaches the customer first | 2 | Proactive means reaching shoppers before they leave the site, which is pre-purchase merchandising, plus scheduled messages such as a birthday note. |
| 6. Documented time from event to resolution | 0 | Resolution rates, a response time improvement and CSAT. A response time is not a resolution time. |
Where it beats Keeyu
Criterion 4, 9 against 7, tied highest on the page. Gladly is one of three tools in the main table that states what it counts as a resolution, which makes its autonomy claim unusually checkable.
Where it loses
Criteria 2, 5 and 6: nothing starts before the customer does.
Buy it if
Buy Gladly if you want an autonomy number with a definition and a guarantee behind it.
3. Richpanel
21 / 60. Tied 3rd with Gladly. An AI helpdesk whose agent reads the order and applies merchant policy while answering.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 3 | The site is unusually candid that the agent acts while answering a question. Operational data reached, inbound trigger throughout. |
| 2. Detects the event that did not happen | 0 | Not documented. The one proactive-sounding line on the domain refers to monitoring for brand crises, not a missing operational event. |
| 3. Acts on the order | 7 | Real tool calls: order lookups, tracking, address edits, exchanges, store credit, subscription changes, cancellations and returns. Held at 7 because Richpanel states plainly that "Money and order edits wait for your approval", so the write actions are gated by default. |
| 4. Runs without an agent touching it | 9 | Beats Keeyu, and it is the most awkward cell on this page. The guarantee terms define autonomous resolution as a conversation closed by an AI agent with no escalation and no message-level human intervention, hold it to a 72-hour no-reopen condition, and put a 50% floor in 30 days behind a full refund of that period's fees. |
| 5. Reaches the customer first | 2 | Proactive campaigns engage high-intent visitors in live chat, which is pre-purchase. |
| 6. Documented time from event to resolution | 0 | A 27-second median first response is published. A first response is not a resolution. |
Where it beats Keeyu
Criterion 4, 9 against 7, tied highest on the page. Of the 46 vendors scored, Richpanel is the only one whose contract defines autonomous resolution and guarantees a floor on it. Keeyu made the opposite trade; pick the trade rather than pretend the gap is not there.
Where it loses
Criterion 3: money and order edits are gated by default.
Buy it if
Buy Richpanel if autonomous close rate is the number your board is asking about.
5. eDesk
20 / 60. Tied 5th with Fin. A multi-channel helpdesk that ranks first on a list eDesk published about itself and on the one independent list in the field, which scores channel coverage and integrations rather than resolution.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 4 | The highest of the classic helpdesks. Unifies real customer, order, product, tracking and policy data from everywhere the merchant sells into one source of truth for the agent. Every flow still starts with an inbound message. |
| 2. Detects the event that did not happen | 0 | Not documented. Twenty-four sources were fetched including the full knowledge base, and nothing detects an absence in order or shipment data. |
| 3. Acts on the order | 7 | The knowledge base specifies procedures whose outcomes are accept or refuse a return and accept or refuse a cancellation, plus storefront write-back for per-item refunds with restock control, order cancellation and replacement via a duplicate order. No reship of a lost parcel, no warehouse write-back and no carrier claim. |
| 4. Runs without an agent touching it | 7 | Ties Keeyu. A documented confidence mechanism with a worked money-band example: small refunds to an automatic outcome, mid-size ones to a reply with the action left for a human, large ones straight to a person. Held at 7 because the headline automation figure is a capability ceiling and eDesk publishes no autonomous resolution rate. |
| 5. Reaches the customer first | 2 | Proactive chat pops up to a site visitor based on browsing conditions, and review requests go to happy customers afterwards. Neither is outbound on a detected problem. |
| 6. Documented time from event to resolution | 0 | Handling time and response time reductions. Neither is a clock from event to resolution. |
Where it beats Keeyu
Nowhere. It ties Keeyu on criterion 4 at 7, and its confidence-band design is one of the better documented autonomy mechanisms in the set.
Where it loses
Criteria 2 and 5 are zero by design. eDesk never finds the problem and never reaches the customer first, because it is built to answer a message brilliantly. That is a difference of scope.
Buy it if
Buy eDesk if you sell across Amazon, eBay, Walmart and your own store and want all of it in one agent view.
5. Fin, formerly Intercom
20 / 60. Tied 5th with eDesk. An AI agent for Shopify-powered businesses that requires the Intercom platform, so it is not a standalone purchase.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 3 | Connects to Shopify, Stripe and internal systems by API, data connectors and MCP. Every documented flow begins with a customer query. |
| 2. Detects the event that did not happen | 0 | Not documented. Nothing describes a missing carrier scan, no movement for N days, or a predicted delay against a promised date. This was searched for specifically and is genuinely absent. |
| 3. Acts on the order | 6 | Processing payments and refunds, resolving order cancellations and returns. The action set is described in prose rather than itemized, and there is no warehouse write-back, carrier claim or reship. |
| 4. Runs without an agent touching it | 9 | Beats Keeyu, tied highest on the page, with the largest customer base behind it. An average resolution rate across a named customer base of more than 12,000, a stated weekly resolution volume, and a published definition of what counts. Held at 9 because that definition, no further help requested after the last answer, measures the absence of a follow-up rather than a verified fix. |
| 5. Reaches the customer first | 2 | Re-engaging shoppers with timely prompts before purchase, which follows from criterion 2 being empty. |
| 6. Documented time from event to resolution | 0 | Resolution rate, time to first token, hallucination reduction and an uptime SLA. A rate is a share, not a clock. |
Where it beats Keeyu
Criterion 4, 9 against 7. No other vendor here publishes an autonomy number across a customer base that size with a definition attached. Its per-outcome pricing matches what an AI agent actually does.
Where it loses
Salesforce completed its acquisition of Fin, formerly Intercom, on 2026-09-10, confirmed on Salesforce's own press release. Fin for ecommerce is also gated to Shopify.
Buy it if
Buy Fin if you already run Intercom on Shopify and want to pay per resolution.
7. Tidio
17 / 60. A chat and AI agent tool for small stores, with full published pricing.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 3 | Connects to Shopify, Stripe and other systems through smart actions and MCP servers. Every documented flow begins with a customer question. |
| 2. Detects the event that did not happen | 0 | Not documented. |
| 3. Acts on the order | 5 | Order status checks, shipping address changes on unfulfilled orders, return initiation with a generated label, stock checks and account or subscription updates. Real but thin: no refund, cancel, reship or order edit appears anywhere on the marketing site. Tidio's help center blocks automated fetching, so that negative rests on the marketing site alone. |
| 4. Runs without an agent touching it | 7 | Ties Keeyu. A published average resolution rate with order updates automated without human assistance. Held at 7 because the rate is a conversation automation rate and the billing definition counts a conversation in which the agent merely sent at least one reply, looser than what Fin and Zendesk publish. |
| 5. Reaches the customer first | 2 | Triggered engagement of website visitors and email sequences for captured leads. Pre-purchase and lead capture. |
| 6. Documented time from event to resolution | 0 | Relative counters with no baseline and no absolute clock. |
Where it beats Keeyu
Nowhere. It ties Keeyu on criterion 4 at 7.
Where it loses
Criterion 3: the thinnest order action set among the AI agents here.
Buy it if
Buy Tidio if your queue is questions and you want to model the bill, per-conversation AI charge included, before a demo.
8. Front
15 / 60. A shared inbox for cross-team customer operations, sold to tech, financial services, logistics, manufacturing, professional services and travel.
| Criterion | Score | Why |
|---|---|---|
| 1. Detection source | 3 | More than 160 integrations pulling real-time data from CRM, TMS and project systems into the conversation. The named systems are CRM and TMS, not an OMS or a storefront. |
| 2. Detects the event that did not happen | 0 | Not documented. Thirteen sources fetched, nothing detects an absence in operational data. |
| 3. Acts on the order | 3 | The automation engine executes multi-step work across systems, but the actions named are routing, status updates, ticket or project creation in Jira and Asana, and CRM record updates. No refund, cancel, reship, replace, return label or carrier claim verb appears anywhere on the domain. |
| 4. Runs without an agent touching it | 8 | Beats Keeyu. A published resolution ceiling, with the agent positioned to run the work end to end rather than draft a reply. Held at 8 because a ceiling is not a measured average and no resolution definition is published. |
| 5. Reaches the customer first | 1 | The only proactive evidence is a customer testimonial about reaching out faster, a comment on capability, not a documented trigger. |
| 6. Documented time from event to resolution | 0 | Hours saved quarterly, a faster first response and a CSAT score. |
Where it beats Keeyu
Criterion 4, 8 against 7.
Where it loses
Category fit: its example systems are CRM, TMS, ERP, Jira and Salesforce, never an OMS.
Buy it if
Buy Front for shared inboxes where support hands work to other teams.
The vendors this list does not score
These are reactive helpdesks, the system of record for a conversation. Ranking them on detection would be theater, but they were run through the same six criteria so nobody wonders what was hidden.
| Tool | Same rubric, /60 | Why it is not in the main table |
|---|---|---|
| Gorgias | 23 | Precisely documented storefront write-back: cancel and restock, address edits, refunds and named failure modes, plus a merchant-set confidence threshold. Scores 8 on autonomy, above Keeyu's 7. Every instance is still evaluated on an inbound question. |
| Kustomer | 21 | The exception worth reading. See below. |
| Freshdesk | 17 | Prebuilt workflows process refunds, update and cancel orders and check stock, with a clean split between a customer-facing agent and an agent-facing copilot. Scores 8 on autonomy, above Keeyu's 7. The alerts go to the support manager, not the customer. |
| Zendesk | 15 | Publishes a commercially binding definition of autonomous resolution and charges against it. What it calls proactive is copilot assistance to the agent, not outbound to a customer. |
| LiveAgent | 6 | No refund, cancel, edit, reship, return label or order action anywhere on the site. Its AI is supplied by a third party, which its own site states. |
Kustomer argues the other way
Kustomer scores 7 on criterion 5, higher than any other tool on this page except Keeyu. Its documentation shows an outbound triggered by an update to order data, such as a shipping status change, and the message offers the customer a resolving choice. That is Keeyu's own argument inside a helpdesk.
The limits are equally clear: a human pulls the segment in the worked example, the resolution offered is a discount code rather than an order action, and no refund can be processed unless a refund reviewer reviews it.
Gorgias and Zendesk are documented Keeyu integrations as well as competitors. Keeyu writes into the helpdesk; this page is not an argument to rip one out.
The real decision: automating the reply vs removing the ticket
Keeyu's explainer on helpdesk software puts it in one line: deflection is not prevention. A chatbot, a tracking page or a better macro reduces the cost of handling the conversation, not the number of customers whose order broke.
- If your tickets are questions, about sizing, policy, stock or subscriptions, an AI helpdesk pays for itself. Buy on autonomy and cost per conversation. Gladly, Richpanel and Fin lead that axis at 9, with Siena and Front at 8. All four beat Keeyu on autonomy, and so does Front.
- If your tickets are broken promises, the order that never shipped, the parcel with no scan for four days, the stock you sold twice, a faster reply only gets the apology out sooner. That work does not shrink until something acts on the order.
Most queues are a mix. Tag a month of tickets as a question or a broken promise; that split decides which half of this table you are shopping in, and it costs an afternoon.
Recommendation
Keeyu published this page, so here is a test that does not depend on trusting us: search any vendor's documentation for anything that detects an absence in order data. On six of the eight tools scored here, and four of the five unscored, it comes back empty.
Siena returns a feature marked coming soon, and Gorgias returns order-age logic evaluated only on an inbound question.
- Buy an AI helpdesk if the queue is mostly questions and you need it answered at 2am. Insist on a published definition of resolution: Gladly, Richpanel and Fin publish one, along with Zendesk in the unscored section.
- Buy proactive e-commerce operations if support headcount is the line you are holding. Keeyu is the only tool here that finds the event, acts on the order and reaches the customer first; push it hardest on autonomy, where five scored tools beat it and two offer a written guarantee Keeyu does not.
These are not mutually exclusive purchases. The helpdesk owns the conversation; Keeyu watches the order book. Every order is a promise. Keeyu keeps the promise.
Keep reading
- Helpdesk software, and why deflection is not prevention
- Customer service automation
- AI customer service agents
- Proactive customer service
- Proactive vs reactive customer service
- WISMO
- Best post-purchase platforms, the hub comparison.
- Best proactive customer service tools
- Best ticket deflection tools
- Best WISMO reduction tools
Frequently Asked Questions
What is the best ecommerce customer service software in 2026?
It depends on whether your tickets are questions or broken promises. On the six criteria scored here, Keeyu leads at 50 out of 60 because it detects the operational event and acts on the order. Among the AI helpdesks, Siena AI scores highest at 26 out of 60, and Richpanel, Gladly and Fin lead on documented autonomy. Keeyu published this page and is ranked on it, so check the criteria against each vendor's own site.
Why does eDesk score lower here than on other lists?
Because this list measures something different. Lists that rank eDesk first score channel coverage, integrations and the quality of the reply, and eDesk is genuinely strong on all three. This list scores how much support work disappears, which requires detecting a problem nobody reported and acting on the order. eDesk scores zero on both of those by design, and 7 out of 10 on acting on the order, which is higher than its reputation as a pure helpdesk suggests.
Does AI customer service software actually reduce headcount?
It reduces handling time reliably and ticket volume conditionally. Deflection lowers the cost per conversation. It does not change how many orders break, so the queue refills. The headcount change happens when the underlying operational failures stop reaching the customer. On THE ECOMMERCE EDGE episode 637, Jevon Le Roux describes a brand moving from 18 support people firefighting all day to eight, with 10 redeployed to sales.
What is the difference between tickets deflected and tickets prevented?
A deflected ticket was created and answered without a human. A prevented ticket was never created, because the stock failure, the missing scan or the stalled order was caught and fixed before the customer noticed. Deflection is measured in the support tool. Prevention is measured in the order book, and it is the one that moves headcount.
Does Keeyu replace Gorgias or Zendesk?
No. Both are documented Keeyu integrations. Keeyu sits above the helpdesk: it watches operational data, acts on the order, and contacts the customer before they write in. The helpdesk remains the system of record for conversations that do happen.
How were these scores produced?
Every vendor was scored on 2026-09-23 from its own published documentation, including product pages, knowledge bases, pricing pages and guarantee terms. Founder interviews and podcast claims were excluded from the scoring for every vendor, including Keeyu, because equivalent material was not available on both sides. Vendor sites change: the Siena feature marked "Coming soon" in this comparison may have shipped by the time you read it, and it should be re-checked.
What does this software cost?
Three pricing models compete here, and they are not comparable line for line. Per seat is the classic helpdesk model. Per resolution or per outcome charges for work the AI closed, which Fin, Richpanel and the AI tiers of several others use. Per order, which is Keeyu's model, charges against the volume being monitored rather than the conversations produced by it. Ask each vendor what happens to the bill in a bad month, because that is where the models diverge.
References
- Keeyu, product page and blog, read 2026-09-23: the detection, action and outbound evidence behind Keeyu's six scores. First party, labeled as such on the page.
- THE ECOMMERCE EDGE, episode 637, "Proactive Post-Purchase Ecommerce Ops & CX": Jevon Le Roux on the support headcount change, 18 people to eight with 10 redeployed to sales.
- siena.cx, order tracking and product update pages, read 2026-09-23: the action list, the automation claim, and the "Coming soon" badge on proactive delay detection.
- gladly.ai, agentic loops, ecommerce and ROI guarantee pages, read 2026-09-23: the resolution definition and the 30-day guarantee.
- richpanel.com, AI agents page and trust center guarantee terms, read 2026-09-23: the contractual definition of autonomous resolution, the 72-hour no-reopen condition and the 50% floor.
- edesk.com and support.edesk.com, read 2026-09-23: the unified-data claim, the AI agent procedures and outcomes, the confidence bands and proactive chat.
- fin.ai, homepage and procedures pages, read 2026-09-23: the resolution rate across more than 12,000 customers, the published resolution definition, the action set and per-outcome pricing.
- Salesforce newsroom, "Salesforce completes acquisition of Fin", 2026-09-10, read 2026-09-23: the ownership change behind the Fin section. Named, not linked, under the standing rule on competitor links.
- tidio.com, AI agent and Lyro actions pages, read 2026-09-23: the smart action list and the published resolution rate.
- front.com, AI and autopilot pages, read 2026-09-23: the automation engine, the named action set and the resolution ceiling.
- Vendor documentation for Gorgias, Kustomer, Freshworks, Zendesk and LiveAgent, read 2026-09-23 (except one Zendesk pricing path that was not found and is not relied on): the totals in the unscored section. Named, not linked, under the standing rule on competitor links.
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