Ada vs Hiver

Ada

Ada's omnichannel automation capability represents a fundamental shift from traditional multi-channel support approaches. Rather than deploying separate chatbots or automation tools for each communication channel, Ada uses a single, sophisticated AI model that handles customer conversations across web chat, in-app messaging, email, SMS text messaging, and voice interactions. This unified architecture means that when the AI learns to handle a new type of inquiry or improves its response to a common question, that improvement automatically applies across every channel simultaneously. The platform maintains complete conversation context as customers move between channels—a customer who starts a conversation via chat can continue via email without repeating themselves. Ada automatically routes incoming conversations to the appropriate channel based on customer preferences and business rules, and can even proactively reach out to customers on their preferred channel for follow-ups or notifications. Reduce support costs by 30-50% while maintaining consistent service quality across all customer communication channels, eliminating the need for separate AI implementations and training per channel.

✓ Reduce support costs by 30-50% while maintaining consistent service quality across all customer communication channels, eliminating the need for separate AI implementations and training per channel

Hiver

Hiver's shared inbox functionality transforms standard email accounts like support@company.com or help@company.com into collaborative workspaces where entire teams can access, manage, and respond to customer inquiries without forwarding emails or using CC/BCC. Each team member sees the same inbox view with real-time updates, ensuring no customer message falls through the cracks. The system prevents duplicate responses through collision detection, shows who is currently viewing or responding to a conversation, and maintains a complete audit trail of all actions taken on each email thread. Eliminates email chaos and ensures every customer inquiry receives a timely, coordinated response from the most appropriate team member.

✓ Eliminates email chaos and ensures every customer inquiry receives a timely, coordinated response from the most appropriate team member

Ada

Ada's intelligent escalation engine uses sophisticated machine learning algorithms to determine precisely when a conversation requires human intervention, ensuring that complex or sensitive issues reach qualified agents while routine inquiries remain automated. The system analyzes multiple signals in real-time including customer sentiment, conversation complexity, intent classification confidence scores, customer value tier, and specific trigger phrases or topics that warrant human attention. When escalation occurs, Ada transfers the conversation seamlessly to available agents along with the complete conversation history, customer profile information, and AI-generated summary of the issue—eliminating the frustrating experience of customers having to repeat themselves. The escalation engine continuously learns from human agent interactions, identifying patterns in conversations that were escalated and resolved successfully, then using those patterns to improve future autonomous resolution rates. Businesses can customize escalation rules based on their specific needs, creating different pathways for VIP customers, compliance-sensitive topics, or high-value transactions. Ensure complex issues reach the right human agent immediately with full conversation history and context, reducing average handle time by 25-40% and improving first-contact resolution rates.

✓ Ensure complex issues reach the right human agent immediately with full conversation history and context, reducing average handle time by 25-40% and improving first-contact resolution rates

Hiver

Harvey is Hiver's intelligent AI assistant that leverages machine learning to automate repetitive support tasks and enhance agent productivity. Harvey analyzes incoming emails to automatically suggest relevant template responses, detect customer sentiment, identify urgent issues requiring immediate attention, and even draft initial responses based on historical conversation patterns. The AI continuously learns from team interactions, becoming more accurate and helpful over time as it processes more conversations and receives feedback from agents. Reduces average handling time by automating routine tasks and providing intelligent suggestions that help agents respond faster and more accurately.

✓ Reduces average handling time by automating routine tasks and providing intelligent suggestions that help agents respond faster and more accurately

Ada

Ada's natural language understanding capabilities go far beyond simple keyword matching or intent classification. The platform employs state-of-the-art NLP models that comprehend customer messages in their full context, understanding not just what customers are asking but why they're asking and what outcome they're seeking. The system handles the messy reality of human communication—typos, grammatical errors, slang, abbreviations, and colloquialisms—without requiring customers to phrase requests in specific ways. Ada supports over 50 languages natively, with the ability to detect language automatically and respond appropriately, making it suitable for global enterprises serving diverse customer bases. The NLU engine analyzes sentiment in real-time, detecting frustration, confusion, or urgency and adjusting responses accordingly or triggering escalation when negative sentiment reaches concerning levels. Critically, Ada's NLU continuously improves through machine learning, analyzing successful and unsuccessful conversations to refine its understanding and expand its capabilities over time without requiring manual retraining. Accurately resolve customer issues on first contact by understanding nuanced customer requests regardless of how they're phrased, supporting global customers in their native languages.

✓ Accurately resolve customer issues on first contact by understanding nuanced customer requests regardless of how they're phrased, supporting global customers in their native languages

Hiver

Hiver's automated assignment system uses sophisticated rules and AI-powered analysis to route incoming customer inquiries to the right team members instantly. Administrators can configure round-robin distribution for equal workload balancing, skill-based routing that matches ticket topics to agent expertise, or priority-based assignment that ensures VIP customers receive immediate attention from senior team members. The system considers current agent workload, availability status, and historical performance to optimize assignments in real-time. Ensures customers always reach the most qualified agent while maintaining balanced workloads across the support team.

✓ Ensures customers always reach the most qualified agent while maintaining balanced workloads across the support team

Ada

Ada's knowledge integration capabilities transform the platform from a simple conversational interface into a powerful automation engine that can access and act upon real-time business data. The platform connects to existing knowledge bases, CRM systems like Salesforce and HubSpot, e-commerce platforms like Shopify and Magento, order management systems, billing platforms, and custom business applications through pre-built integrations and flexible APIs. This connectivity enables Ada to pull real-time information needed to resolve customer inquiries—checking order status, looking up account details, verifying subscription information, or retrieving product specifications—without requiring manual knowledge base updates or agent intervention. Beyond information retrieval, Ada can perform actual transactions on behalf of customers: processing returns, updating shipping addresses, applying promotional codes, scheduling appointments, or initiating password resets. The platform synthesizes information from multiple sources into coherent, personalized responses, and automatically keeps its knowledge current as connected systems are updated. Provide accurate, up-to-date information and complete transactions for customers automatically, reducing resolution time and eliminating the delays associated with manual lookups or transfers.

✓ Provide accurate, up-to-date information and complete transactions for customers automatically, reducing resolution time and eliminating the delays associated with manual lookups or transfers

Hiver

Hiver enables seamless team collaboration through internal notes, @mentions, and shared drafts that keep all communication about a customer issue in one place. Team members can discuss complex issues, seek guidance from colleagues, or escalate to supervisors without the customer ever seeing these internal conversations. The shared draft feature allows multiple agents to collaborate on crafting the perfect response before sending, while @mentions ensure the right people are notified when their input is needed. Facilitates knowledge sharing and team collaboration while maintaining a professional, unified front to customers.

✓ Facilitates knowledge sharing and team collaboration while maintaining a professional, unified front to customers

Ada

Ada provides enterprise-grade analytics capabilities that transform customer support data into actionable business intelligence. The platform's comprehensive dashboards display real-time and historical metrics including conversation volumes, automation rates, resolution rates, average handle times, customer satisfaction scores, and agent performance indicators. Beyond standard metrics, Ada's analytics engine identifies patterns and trends that would be impossible to detect manually: common customer pain points, emerging issues before they become widespread problems, seasonal variations in inquiry types, and opportunities for additional automation. The platform provides detailed conversation-level analytics, enabling support leaders to drill down into specific interactions to understand what's working and what needs improvement. Ada's insights extend to predictive analytics, forecasting support volumes and identifying potential issues based on historical patterns. Custom reports and scheduled exports enable integration with business intelligence tools and executive reporting workflows, while real-time alerts notify teams immediately when key metrics deviate from expected ranges. Make data-driven decisions to continuously improve support operations, identify high-impact automation opportunities, and demonstrate clear ROI from AI investment to stakeholders.

✓ Make data-driven decisions to continuously improve support operations, identify high-impact automation opportunities, and demonstrate clear ROI from AI investment to stakeholders

Hiver

Hiver provides comprehensive analytics that give support leaders complete visibility into team performance, customer satisfaction trends, and operational efficiency metrics. The dashboard tracks key indicators including first response time, resolution time, customer satisfaction scores (CSAT), agent productivity metrics, and conversation volume trends. Customizable reports can be scheduled for automatic delivery, and real-time dashboards help managers identify bottlenecks, recognize top performers, and make data-driven decisions to improve support operations. Empowers support leaders with actionable insights to continuously optimize team performance and customer experience.

✓ Empowers support leaders with actionable insights to continuously optimize team performance and customer experience

Ada

Approach: Ada automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.

Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.

Hiver

Approach: Hiver automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.

Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.

Ada

Approach: Ada uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.

Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.

Hiver

Approach: Hiver uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.

Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.