Solidroad

Freemium

AI QA and coaching for CX teams across every channel

What is Solidroad?

Solidroad is a QA and coaching platform for customer experience teams. It is built around a team’s own definition of quality and is positioned to review interactions, score them automatically, and turn the findings into training and improvement workflows.

The site emphasizes two connected jobs: understanding what happened across customer conversations and using that insight to improve agent performance. Solidroad says it can review interactions across phone, live chat, video, and email, generate custom trainings, and support both human-agent and AI-agent workflows through integrations.

What can Solidroad do?

Automated QA for 100% of interactions

Score every interaction automatically so QA teams can move beyond small samples and review the full set of conversations.

Risk-based review prioritization

Flag high-risk issues and errors for immediate human review, helping teams focus attention where it matters most.

Custom coaching and feedback

Generate targeted agent training from QA findings, with coaching designed to address the issues that appear in real conversations.

Training simulations for agents

Use AI simulations that look, act, and sound like real customers to practice readiness before agents go live.

Knowledge-driven setup

Import policies, macros, and documentation from tools like Guru and Notion to shape simulations, scorecards, and guidance around existing support content.

Stack integrations

Connect CRM, support, and AI-agent tools so quality and training data stay linked to the channels and systems your team already uses.

Use Cases

“Automated quality assurance”

Use Solidroad to score the full interaction set instead of relying on a sample, then send higher-risk conversations to QA for review.

“Agent coaching and enablement”

Use QA findings to generate targeted feedback and training so agents can improve the behaviors that show up in real customer conversations.

“Onboarding and readiness checks”

Use simulations built from real policies and documentation to validate readiness before new agents go live.

“AI agent benchmarking and QA”

Use the platform to evaluate AI support agents and surface where they need improvement based on actual customer interactions.

“Connected support operations”

Use customer-support, CRM, and knowledge tools together so quality data, training content, and workflows stay connected.

Frequently Asked Questions

What does Solidroad do?

Solidroad is presented as a QA and coaching system for CX teams. It reviews interactions, surfaces issues, and can route targeted training based on what it finds.

What channels or workflows does it cover?

The source describes support across phone, live chat, video, and email, and also mentions AI agents as a supported workflow through dedicated integrations.

How is QA tailored to a team’s standards?

Solidroad says its AI model is trained on a team’s real conversations, policies, and scorecards so evaluations reflect the organization’s own standards.

Is pricing listed publicly?

The site does not show pricing on the pricing page; instead, it routes visitors to a demo-oriented flow.

What product areas are highlighted on the site?

Solidroad’s public site highlights QA automation, AI coaching and feedback, training simulations, QA and benchmarking, process improvements, and AI scorecards as product areas.