The Solidroad alternative for Intercom teams.
Solidroad is an AI QA and training platform. It auto-scores conversations across human and AI agents, flags risk, and drives coaching and agent simulations. It is sold through a demo with custom pricing (no public price list or self-serve trial), and it integrates with Intercom.
Supportman overlaps on AI scoring but aims at something narrower: getting Intercom CSAT/DSAT into Slack in real time and an AI score on every closed conversation, at a published per-user price, with nothing to roll out.
Free trial · No credit card · Connects to Intercom & Slack in under 2 minutes · Visit Solidroad ↗
AI scoring, minus the QA-program rollout.
With Solidroad
- No public pricing or self-serve trial; access starts with a booked demo
- A broader QA + training and simulation platform to adopt and roll out
- Focused on structured QA review and coaching, not real-time rating alerts
- Newer company (founded 2023) still expanding its footprint
With Supportman
- Built for Intercom, connect and go
- Published per-user pricing, no sales call
- Real-time CSAT & DSAT alerts in Slack
- AI quality scoring on every closed conversation
- Live in under two minutes
Solidroad vs Supportman pricing, side by side.
Solidroad does not publish pricing and its site offers no self-serve trial; the path in is “Book a Demo”, with a custom quote. Supportman’s rate is published: $5/user/mo for the Slack loop, $15/user with AI evaluations, no sales call.
Solidroad
Custom quote
- Model
- Demo-led; no public pricing
- Getting started
- Book a demo; no public trial
Supportman
$5–$15 / user / mo
- Model
- Per-user tiers, published (min $25/mo)
- Getting started
- Free trial, no credit card
Solidroad vs Supportman, feature by feature.
Every Supportman dashboard and Slack feature, next to what Solidroad 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 | ||
|---|---|---|
| Key differences | ||
| Pricing model | Custom, demo-led | Per-user tiers, published |
| Starting price | Not published | $5 / user / mo (min $25) |
| Built for | CX QA + agent training | Intercom-native |
| Intercom integration | Supported | Native |
| Real-time CSAT / DSAT to Slack | QA review workflows instead | Yes |
| AI quality scoring | Auto-QA across human & AI agents | IQS on every closed conversation |
| Agent training / simulations | Core feature | Not offered |
| Real-time Slack loop | ||
| CSAT ratings posted to Slack in real time | No | YesEvery rating, the moment it lands |
| Dedicated channel for bad ratings | No | YesPro |
| Filter alerts by star rating or remark | No | YesBy star rating, or only when a remark is left |
| Send a conversation to Slack from the inbox | No | YesIntercom inbox app, to a channel or DM |
| Conversation reminders | No | YesSet from the Intercom inbox |
| AI quality scoring | ||
| AI quality score on every closed conversation | YesAuto-QA on human and AI agents | YesIQS, 0–100 |
| Per-criterion rubric breakdown | YesCustom AI scorecards | 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 | YesFlags hallucinations and policy breaks | YesFin and humans, same rubric |
| Manual review scorecards & calibration | PartialCustom scorecards; calibration unclear | NoNot the focus |
| Coaching workflows | YesAI coaching plus training simulations | PartialPer-agent reports & quality ranking |
| Dashboard & insights | ||
| Team quality dashboard | Yes | YesRated, positive, IQS, needs review |
| Bad-rating review queue | Not documented | Yes1★ and 2★ conversations |
| Quality trends & predicted-vs-actual CSAT | PartialQA score trends | YesIQS trend, bad rate, model bias |
| Topic spikes & drift | Not documented | BetaSpiking / drifting / cooling, from Intercom Topics |
| Account health drift | Not documented | Beta28-day drift per account |
| Daily work queue (unanswered, unhappy, handed off) | No | BetaToday view |
| Conversation explorer with rating & score filters | Not documented | YesDate, rating, remark, AI score |
| Per-agent quality ranking | Yes | 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 | PartialSame rubric for Fin and humans | YesBad-rating rate, Fin vs human-only |
| Fin conversation audit | YesScores Fin, flags hallucinations | Beta |
| Independent of the AI agent it measures | Yes | Yes |
| Answers customers (AI agent) | NoScores AI agents, doesn’t sell one | 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 | No | 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 | NoPer-interaction scoring | In buildProblem Episodes |
| Alerts when a promise to a customer is missed | Not documented | In build |
| Platform, pricing & setup | ||
| Intercom integration | YesNative integration | YesNative, connects in 2 minutes |
| Zendesk, Freshdesk & others | YesZendesk, Freshdesk, HubSpot & more | NoIntercom only today |
| Voice / call coverage | YesPhone among supported channels | No |
| Published pricing | No | Yes$5–$15 / user / mo |
| Self-serve free trial | NoBook-a-demo only on site | YesNo credit card |
| Time to first value | PartialDemo-led onboarding | YesUnder 2 minutes |
Solidroad details come from its public website, docs and pricing pages, checked September 2026. Solidroad website ↗
When Solidroad is the better pick.
Solidroad is a strong, fast-growing choice (fittingly, it was founded by ex-Intercom team members) if you want a real QA-and-training platform: auto-scoring across both human and AI agents, hallucination and compliance checks for AI support, personalized coaching, and agent simulations. Teams running mixed human + AI support and investing in formal coaching will get a lot from it. Supportman is narrower by design: it gets Intercom rating signal into Slack and an AI score on every conversation, at a published per-user price, without adopting a full QA program.
Solidroad vs Supportman, answered.
Does Solidroad work with Intercom?
Yes, Solidroad integrates with Intercom and can pull Intercom conversations for auto-scoring. Supportman is also Intercom-native; the difference is scope and pricing. Supportman is a focused CSAT-and-scoring tool at a published $5–$15 per user rather than a full QA-and-training platform.
How is Supportman priced compared to Solidroad?
Solidroad does not publish pricing; you book a demo and get a custom quote. Supportman is per user and published: $5 per user per month for the Slack loop, $15 per user with AI evaluations. You know the cost before you install.
What does Solidroad do that Supportman does not?
Solidroad is a fuller QA and training platform: agent simulations, coaching workflows and AI-agent monitoring. Supportman focuses on real-time CSAT/DSAT alerts in Slack and AI scoring on every closed conversation.
What does Supportman do that is comparable?
Both score conversations with AI. Supportman runs IQS on every closed Intercom conversation and pushes CSAT/DSAT ratings to Slack the moment they land.
Is there a free trial?
Yes. Supportman offers a free trial with no credit card. Connect Intercom and Slack and you are live in under two minutes.
Which should a small Intercom team choose?
If you want formal QA scorecards, coaching, and agent training, look closely at Solidroad. If you mainly want bad ratings surfaced instantly in Slack and an AI score on every conversation, Supportman is the lighter, simply-priced option.
Does Solidroad know if a customer’s problem actually went away?
Solidroad’s Auto-QA scores individual interactions, human or AI, against a rubric. It does not keep a persistent record across a customer’s conversations. Supportman is building that layer, Problem Episodes (in build now): it links every conversation from one customer about the same issue and flags it, quoting the transcript, if the customer comes back, an agent’s promise goes unkept, or a “resolved” conversation was not actually fixed.
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