Chanlvs
SupportmanThe Chanl alternative for teams who want proof, not just memory.
Chanl positions itself as one AI across chat, WhatsApp, email and phone: it answers customers, follows up on ones who go quiet, and keeps everything on a single customer record that persists across channels. It also runs scorecards on every conversation and can alert a Slack channel when score or sentiment rules trip. Plans start free, with paid tiers at $29 and $149 per month. Its follow-up and memory features are the closest conceptual match, of anything in a recent competitive scan, to the "promise made and forgotten" problem Supportman is building toward.
The difference is who does the work. Chanl is the AI answering your customers; Supportman measures the conversations your Intercom team (and bots) already have. Its take on promises is evidence-first: Problem Episodes (in build) will detect a promise inside a conversation, its owner, the expected date, and flag it in Slack if the deadline passes with nothing done, backed by a verbatim quote, not just an AI agent remembering it. Live today: real-time CSAT/DSAT in Slack and AI quality scoring on every closed Intercom conversation.
Free trial · No credit card · Connects to Intercom & Slack in under 2 minutes · Visit Chanl ↗
Remembering a promise isn't the same as flagging a broken one.
With Chanl
- An AI agent that answers customers itself, rather than a quality layer over your existing Intercom team
- Paid plans are metered by agents, voice minutes, text conversations and evaluations
- Intercom is one of many integrations (used for human handoff), not the home of the product
- Following up automatically is not the same as flagging a broken human promise, with a quote, to a person
With Supportman
- Built for Intercom, connect and go
- Published per-user pricing from $5/user/mo
- Real-time CSAT & DSAT alerts in Slack
- Problem Episodes (in build): a "promised and forgotten" Slack alert when a commitment's deadline passes with nothing done, backed by a quote
Chanl vs Supportman pricing, side by side.
Chanl publishes its pricing: a Free plan, Lite at $29/mo, Startup at $149/mo and custom Enterprise, each with caps on agents, voice minutes, text conversations and evaluations, plus overage fees. Supportman lists per-user pricing on the site: $5/user/mo for the Slack loop, $15/user/mo with AI evaluations, no sales call.
Chanl
Free; $29–$149 / mo
- Model
- Usage-capped plans + overages; custom Enterprise
- Getting started
- Free plan
Supportman
$5–$15 / user / mo
- Model
- Per-user tiers, published (min $25/mo)
- Getting started
- Free trial, no credit card
Chanl vs Supportman, feature by feature.
Every Supportman dashboard and Slack feature, next to what Chanl documents publicly. Beta and in-build features are labelled as such; where we couldn't find public documentation, we say so rather than guess.
- Yes
- Partial
- Beta
- In build
- Add-on
- No
- Not documented
| Feature | Chanl | Supportman |
|---|---|---|
| Key differences | ||
| Concept | AI answers and follows up, with memory on one customer record | Detects, quotes and expires a specific promise |
| Evidence | Not documented | Verbatim quote required for every claim (in build) |
| Delivery | Slack alerts on score or sentiment rules | Slack alert when a deadline passes |
| Pricing | Free plan; $29–$149 / mo, published | $5 / user / mo, published |
| Built for | AI-run support across chat, WhatsApp, email & phone | Intercom + Slack support teams |
| Real-time Slack loop | ||
| CSAT ratings posted to Slack in real time | PartialSlack alerts on score/sentiment rules | YesEvery rating, the moment it lands |
| Dedicated channel for bad ratings | PartialAlert rules can post to a channel | YesPro |
| Filter alerts by star rating or remark | PartialScore thresholds, not star ratings | YesBy star rating, or only when a remark is left |
| Send a conversation to Slack from the inbox | PartialSlack alert when a person is needed | YesIntercom inbox app, to a channel or DM |
| Conversation reminders | PartialSends follow-ups automatically | YesSet from the Intercom inbox |
| AI quality scoring | ||
| AI quality score on every closed conversation | YesScorecards on every conversation | YesIQS, 0–100 |
| Per-criterion rubric breakdown | YesPer-criterion breakdown | YesRubric chart on every scored conversation |
| Predicted CSAT for unrated conversations | Not documented | YesCovers the ~90% customers never rate |
| Scores AI-agent and human conversations alike | YesBuilt for AI agents; humans too | YesFin and humans, same rubric |
| Manual review scorecards & calibration | Not documented | NoNot the focus |
| Coaching workflows | Not documented | PartialPer-agent reports & quality ranking |
| Dashboard & insights | ||
| Team quality dashboard | YesCSAT, resolution, sentiment | YesRated, positive, IQS, needs review |
| Bad-rating review queue | Not documented | Yes1★ and 2★ conversations |
| Quality trends & predicted-vs-actual CSAT | PartialScore & sentiment trends | YesIQS trend, bad rate, model bias |
| Topic spikes & drift | Not documented | BetaSpiking / drifting / cooling, from Intercom Topics |
| Account health drift | PartialLive intent, risk & frustration signals | Beta28-day drift per account |
| Daily work queue (unanswered, unhappy, handed off) | Not documented | BetaToday view |
| Conversation explorer with rating & score filters | PartialCall logs & transcripts | YesDate, rating, remark, AI score |
| Per-agent quality ranking | YesPer-agent performance scores | YesRates that survive a thin week |
| Cross-customer voice-of-customer analytics | Not documented | PartialTopic trends only |
| Fin & AI agents | ||
| Fin vs human quality comparison | No | YesBad-rating rate, Fin vs human-only |
| Fin conversation audit | No | Beta |
| Independent of the AI agent it measures | PartialAlso runs the AI agent it scores | Yes |
| Answers customers (AI agent) | YesVoice, chat, WhatsApp, SMS, email | NoMeasures, doesn’t answer |
| Reporting & workflow | ||
| Weekly team report in Slack | Not documented | YesFriday, before standup |
| Per-agent weekly reports by DM | Not documented | YesIncludes predicted CSAT & IQS |
| Approvals for refunds & exceptions in Slack | Not documented | BetaRequested in Intercom, decided in Slack |
| Manager notes on conversations | Not documented | Beta |
| Closed doesn’t mean resolved | ||
| Tracks one customer’s problem across conversations | PartialOne customer profile & memory | In buildProblem Episodes |
| Alerts when a promise to a customer is missed | PartialAgent memory + automated follow-ups | In build |
| Platform, pricing & setup | ||
| Intercom integration | PartialHand-off to humans in Intercom | YesNative, connects in 2 minutes |
| Zendesk, Freshdesk & others | Not documented | NoIntercom only today |
| Voice / call coverage | YesOwn number; VAPI, Retell, Bland, Twilio | No |
| Published pricing | YesFree, $29 or $149 / mo | Yes$5–$15 / user / mo |
| Self-serve free trial | YesFree tier, no credit card | YesNo credit card |
| Time to first value | YesDocs: first agent in under 5 minutes | YesUnder 2 minutes |
Chanl details come from its public website, docs and pricing pages, checked September 2026. Chanl website ↗
When Chanl is the better pick.
If you want one AI to answer customers across chat, WhatsApp, email and phone, chase the ones who go quiet, and keep a single customer record, with scorecards and Slack alerts built in, Chanl is a capable, inexpensive way to get there, and it’s worth watching as evidence that "commitment memory" may end up arriving from AI-agent tooling rather than support-analytics vendors. Supportman’s angle is narrower and support-specific: catch the promise, quote it, and tell a human in Slack if it was broken.
Chanl vs Supportman, answered.
Is Chanl a competitor to Supportman?
Partly. Chanl is an AI that answers customers across channels, with its own scorecards and Slack alerts, so it overlaps on quality signal. It is primarily the agent doing the work, though. Supportman is building Problem Episodes specifically for support: detecting a promise inside an Intercom conversation and flagging it in Slack, with a quote, if the deadline passes unmet.
How much does Chanl cost?
Chanl has a Free plan, Lite at $29/mo and Startup at $149/mo, each capped on agents, voice minutes, text conversations and evaluations, plus a custom Enterprise tier. Supportman is priced per user: $5/user/mo for the Slack loop, $15/user/mo with AI evaluations.
Does Supportman track broken promises today?
Not yet live. Promise/commitment tracking is part of Problem Episodes, currently in build. Today, live, Supportman gives you real-time CSAT/DSAT alerts in Slack and AI quality scoring on every closed conversation.
Is Supportman self-serve?
Yes. Connect Intercom and Slack and you are live in under two minutes, no sales call, no credit card.
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