How secure is Clarity?

Security is built into everything Clarity does. The platform employs enterprise-grade encryption for data in transit and at rest, along with role-based access controls and comprehensive audit logs. Clarity maintains SOC 2 Type II compliance and adheres to GDPR, HIPAA, and regional standards like PDPL. These measures ensure that customer data remains protected and that all operations are fully reviewable for security audits.

How do you stop hallucinations or off-brand replies?

Clarity uses a multi-layered approach to prevent inaccurate or off-brand responses. This includes predefined guardrails with strict response limits and approval workflows, continuous human oversight where agents review and guide AI outputs, and detailed audit logs for full transparency. The system is designed to stay within the boundaries of the company's knowledge base and brand guidelines.

What does Clarity’s customer service look like?

Clarity's customer service blends AI automation with human expertise. AI agents automatically resolve most routine tickets by suggesting answers from the knowledge base and routing conversations to specialized teams, such as refunds to payments. Human agents provide oversight, handle complex issues, and give continuous feedback to improve AI accuracy, creating a seamless and efficient support experience.

Can humans stay in control?

Yes, humans remain firmly in control throughout the process. Clarity incorporates a "human in the loop" system where agents continuously provide feedback to train and correct AI responses. This ensures that automation never operates without supervision, allowing for intervention when needed and maintaining human authority over customer interactions and decision-making.

How do agents work across languages and channels?

Clarity agents are designed to function across various customer interaction channels, including chat, email, and social media, by unifying these inputs within the platform. Multilingual capabilities are supported through the AI's natural language processing, though the effectiveness depends on the configuration and content of the company's knowledge base for each language.

How does Clarity unify voice of customer data?

Clarity aggregates customer feedback from diverse sources such as chat transcripts, online reviews, and social media into a single, centralized platform. This unification eliminates the need for manual data sorting and tagging, allowing businesses to identify emerging themes, track sentiment trends, and derive comprehensive insights from all customer interactions in one place.

What is the process for "closing the loop" with customer feedback?

Closing the loop refers to Clarity's ability to transform customer conversations into concrete actions, such as product updates or service improvements. The platform tracks these actions and facilitates communicating back to customers that their feedback resulted in tangible changes. This process demonstrates responsiveness, builds customer trust, and ensures feedback leads to measurable outcomes.

How do Clarity's AI agents handle routine customer inquiries?

Clarity's AI agents automatically address most repetitive inquiries by generating accurate, context-aware responses drawn from the company's knowledge base. They can resolve tickets without human intervention for common issues, and they intelligently route more complex conversations to the appropriate specialized teams. This automation reduces agent workload, speeds up response times, and maintains consistency in support.

What compliance certifications does Clarity maintain?

Clarity holds several key compliance certifications, including SOC 2 Type II, which validates its security controls. The platform also complies with GDPR for data privacy in the EU, HIPAA for healthcare information in the US, and regional standards such as Saudi Arabia's PDPL. These certifications confirm that Clarity meets rigorous, internationally recognized requirements for data security and privacy.

How can businesses measure the impact of using Clarity?

Businesses can quantify Clarity's impact through customizable dashboards that track metrics like resolution rates, customer sentiment trends, and operational efficiency. Case studies indicate outcomes such as a 55% reduction in voice of customer analysis time. These measurable insights help demonstrate return on investment by showing time savings, improved customer satisfaction, and data-driven decision-making.

Clarity Core Features

Core Features of Clarity

Voice of Customer Analytics

Unifies feedback from chats, reviews, and social media into a single platform for theme analysis, sentiment tracking, and actionable insights, enabling data-driven product and service improvements.

Agentic Customer Service

Automates customer support with AI that adheres to guardrails, auto-resolves tickets, routes conversations to appropriate teams, and incorporates human oversight for complex issues.

AI Agents

Provides AI-suggested responses from the knowledge base to assist human agents, improving reply accuracy, agent training, and maintaining brand consistency across customer interactions.

Enterprise Security and Compliance

Implements encryption, GDPR/SOC 2/HIPAA compliance, and SASM guardrails to secure data, ensure regulatory adherence, and maintain full auditability of AI activities.

Use Cases of Clarity

Customer support teams: Auto-resolve routine tickets with AI guardrails to maintain compliance and accuracy.
Product managers: Unify feedback channels to identify high-impact features using NLP sentiment analysis.
Compliance officers: Implement SASM guardrails and audit logs for secure, reviewable AI interactions.
CX leaders: Transform customer conversations into actionable insights with automated theme detection.
Multinational companies: Deploy multilingual AI agents that adhere to brand guidelines across regions.

Clarity Core Features

Core Features of Clarity

Voice of Customer Analytics

Agentic Customer Service

AI Agents

Enterprise Security and Compliance

Use Cases of Clarity

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