Solidroad AI Scorecards
Solidroad AI Scorecards: Configurable AI scorecards connect conversation QA with process context and agent practice. Ranked #50 of 60 in Customer Service QA Software by our editors (4.3/10); pricing: Pricing on request; best for teams standardizing AI scorecards against live processes.
At a glance
- Editor score4.3 / 10
- PricingPricing on request
- Best forTeams standardizing AI scorecards against live processes
- Automated scoringYes
- Facts checked4 Oct 2026
Where it wins
- Scores conversations against configurable graded and pass/fail criteria
- Links process documents to evaluations for added context
- Connects QA findings to AI practice simulations for agent training
Where it doesn't
- Pricing is custom and demo-led
- The listed integrations center on knowledge, service, and learning tools
- Support is listed through documentation
Our verdict on Solidroad AI Scorecards
Solidroad AI Scorecards helps customer support teams evaluate conversations using configurable QA rubrics. Teams can set criteria, section weights, score bands, and override rules, or generate criteria with AI and edit them directly. The product is aimed at mid-market and enterprise teams standardizing evaluations against live processes. It supports scoring across phone, live chat, video, and email, including interactions handled by AI agents.
A notable distinction is how process context can shape an evaluation. Teams can link documents and external resources to scorecards, and the system automatically matches live processes to conversations during evaluation. According to the vendor, it evaluates all conversations rather than relying on sampling. That claim concerns evaluation coverage; it does not establish a separate feature for selecting interactions automatically. This approach may suit teams that want QA criteria tied to current operating procedures, while buyers seeking broader customer service QA functionality should compare the workflow with their requirements.
QA findings can feed AI practice simulations for agent training, extending the scorecard workflow beyond evaluation. Listed integrations include Notion, Guru, Confluence, Salesforce Service Cloud, and Docebo. The product is cloud-based, with web access, and its stated security and access credentials include SOC 2, ISO 27001, and SSO/SAML. Support is listed through documentation. Pricing is custom and demo-led, so teams should expect to discuss fit with Solidroad rather than select a published plan. Choose it when configurable, process-aware scoring and linked practice are central; consider alternatives if integration breadth or a wider QA feature set is a priority.
Solidroad AI Scorecards pricing
Solidroad AI Scorecards fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Automated scoring | Yes |
| Automated sampling | Not verified |
| Custom scorecards | Yes |
| Agent coaching | Yes |
| QA analytics | Not verified |
| Interaction channels | Multichannel |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, SSO/SAML |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Notion, Guru, Confluence, Salesforce Service Cloud, Docebo See all → |
| Pricing | Pricing on request |
| Website | solidroad.com |
| Facts checked | 4 Oct 2026 |
Solidroad AI Scorecards integrations
Solidroad AI Scorecards lists 5 integrations on its own site.
- Notion
- Guru
- Confluence
- Salesforce Service Cloud
- Docebo
See all Solidroad AI Scorecards integrations →
Alternatives to Solidroad AI Scorecards
- NiCE Quality ManagementAutomates omnichannel interaction scoring and coaching for enterprise contact centers.9.4
- Verint Quality ManagementOmnichannel QA with automated scoring, screen review and coaching for larger contact centers.9.3
- Zoom Quality ManagementA Zoom-centered QA add-on for automated scoring, interaction analytics, and coaching.9.2
See all Solidroad AI Scorecards alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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