Solidroad

Solidroad is an AI QA and coaching platform for CX teams that reviews customer interactions, flags issues, and turns findings into targeted training. It supports support teams working across phone, chat, video, and email, with integrations for CRM, support, AI-agent, and knowledge tools.

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Overview

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.

Core capabilities

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.

Common 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.

Pros and Cons

Pros

Covers both QA review and coaching in one workflow.
Supports review of interactions across multiple support channels.
Uses the team’s own conversations, policies, and scorecards to align scoring with internal standards.
Highlights integrations for CRM, support, AI agents, and knowledge-management tools.
Includes customer examples with reported outcomes such as reduced handling time, faster onboarding, and improved CSAT.

Cons

The public site does not show pricing details.
The coverage available here is lighter on exact setup, limits, and administration details.
Some product areas are listed on the site, but not all have dedicated public detail pages in the provided evidence.

FAQ

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.