Best AI Customer Support Agents Software - Page 34

HiReceptionist

**HiReceptionist** is an AI phone receptionist built for small businesses and solo professionals — attorneys, healthcare practitioners, contractors, salons, real estate agents, and consultants who can't justify hiring a receptionist but can't afford to miss calls either. It answers every call in a natural voice, handles the conversation, captures caller details and intent, and sends a written summary and full transcript afterward. Setup takes about five minutes through a plain-language onboarding chat — no configuration screens. **Key features:** - 24/7 instant call answering - Appointment booking via Google Calendar or Microsoft Outlook - CRM sync with HubSpot, Zoho, or GoHighLevel - Spam and robocall blocking - Emergency call routing with keyword detection - 6-language support with automatic language detection - Browser-based test calls that don't use plan minutes - Full call transcripts and analytics dashboard **Pricing:** Plans start at $19/month with a 7-day free trial (10 live call minutes, no credit card required).

hireHQ

Hiver Omni

Hiver Omni is the agentic omnichannel customer service platform that helps teams tackle complex support across channels with AI Agents, ticketing, cross-team collaboration, and workflows. Key features of Hiver Omni: - Omnichannel support: Bring every customer conversation across email, chat, Slack, voice, SMS, and social into one platform. Every interaction stays connected to the same customer record, so context carries across channels instead of starting over with every conversation. - Cross-team collaboration: Resolve complex requests without losing context between teams. Hiver keeps conversation history, private notes, handoffs, and Slack discussions connected to the customer thread, so everyone involved works from the same picture. - Ticketing: Give every request clear ownership and structure, with status, priority, custom fields, queues, SLAs, and a complete history of every action. Teams can configure ticket fields and define SLAs in natural language, while built-in audit trails keep work accountable and reporting-ready. -AI Agents: AI Agents take customer requests from intent to resolution. They understand what the customer needs, gather relevant context, follow your team’s procedures, take actions across connected systems, and respond. They resolve requests autonomously and bring in your team when human judgment is needed. - AI Copilot: When a request needs a person, Copilot does the groundwork. It finds similar issues, gathers context, drafts replies in your team’s tone, recommends next steps, and takes directed actions, such as updating Salesforce or retrieving information from Confluence. Your team stays in control, reviewing and approving what goes out. - Self-updating help center: Turn every resolution into knowledge that compounds. Hiver AI turns resolved conversations into help center articles and flags existing content when it becomes outdated or conflicts with how your team actually resolves issues. - Integrations & Workflows: Connect the tools your team already uses and automate the work between them. Workflows route, assign, tag, triage, and escalate requests using conditions and data from your apps. Teams can build workflows, define triage rules, and trigger actions across connected systems using natural language. - Analytics: Reporting covers volume, response and resolution times, SLA attainment, and satisfaction, broken out by channel, team, and individual. It also tracks quality and customer health, and surfaces trends across conversations. Your team can query the data in natural language, inside Hiver or through MCP. - Customer Intelligence: Build a living understanding of every customer account. Hiver brings together conversations, CRM data, product usage, and calls to continuously assess health, sentiment, and churn risk. Ask AI answers deeper questions about each account, while AI Agents and your team use that intelligence to make every interaction more informed, relevant, and personal. - Setup and configuration: Hiver Omni stands out for its intuitive interface and ease of configuration. It is designed to feel remarkably simple from day one. Teams can build AI Agents, create routing and triage workflows, configure ticket fields, and define SLAs using natural language. Support teams at 10,000+ organizations, including the likes of Bynder, Epic Games, and Flexport, trust Hiver to run their support function.

HIverTicket

HolosCX

HolosCX is an AI-driven customer experience platform designed to automate up to 94% of support tickets across more than 140 languages. With a straightforward three-step installation process that takes under five minutes and requires no engineering expertise, HolosCX enables businesses to enhance their customer support efficiency significantly. Key Features and Functionality: - Rapid Onboarding: Users can upload existing knowledge bases, including FAQs, PDFs, Notion pages, or help-center URLs. HolosCX automatically indexes this information in approximately 60 seconds, facilitating quick setup. - Easy Integration: Embedding HolosCX into websites or applications is achieved by adding a single line of code, compatible with platforms like Webflow, Shopify, Next.js, and WordPress. - AI-Powered Support: Leveraging advanced AI models such as ChatGPT-5.1 and Grok-4.1, HolosCX provides 24/7 customer support, handling inquiries, escalating complex cases with full context, and offering real-time analytics. - Multi-Language Support: The platform supports over 140 languages, ensuring a broad reach and accessibility for diverse customer bases. - Compliance and Security: HolosCX is designed with compliance in mind, adhering to standards like SOC-2, GDPR, and HIPAA, and includes features like end-to-end encryption and configurable data retention policies. Primary Value and User Benefits: HolosCX addresses the challenge of managing high volumes of customer support inquiries by automating responses to common questions, thereby reducing the workload on human support teams. This automation leads to significant cost savings, with many teams cutting their workload by 60-80% in the first month. Additionally, the platform's ability to provide consistent, on-brand replies and its smart escalation of complex cases enhance customer satisfaction, as evidenced by improvements in Customer Satisfaction Scores (CSAT) from 82 to 96 within 30 days of installation. By offering a scalable, efficient, and secure solution, HolosCX empowers businesses to deliver superior customer support experiences.

HoomanLabs

HoomanLabs provides AI-powered voice agents that automate customer conversations across support, sales, and onboarding. The platform plugs into your existing CRM and workflows to handle calls, FAQs, and routine requests end-to-end. Teams can design custom voice flows, monitor conversations, and iterate quickly without heavy engineering effort. HoomanLabs helps businesses reduce response times, cut support costs, and offer 24/7, human‑like assistance at scale.

HostAI

Humassistant

Humassistant is a conversational AI platform that helps businesses automate customer communication across multiple channels from a single unified interface. The software connects to a company's existing documents, FAQs, internal procedures, and knowledge bases to generate accurate, context-aware responses that reflect the organization's tone and terminology. Unlike generic chatbot builders that rely on predefined scripts, Humassistant uses large language models to understand user intent, adapt to conversational context, and deliver relevant answers in real time. Key features and capabilities include: - Multichannel deployment across website chat widgets, WhatsApp Business, email, phone (voice AI), social media messaging, and custom API integrations — all managed from one dashboard - Intelligent escalation that transfers conversations to human operators with full context, so customers never have to repeat themselves - Real-time conversation monitoring with live takeover, allowing operators to step in at any point during an AI-handled conversation - 3D avatar interfaces with realistic voice synthesis for more engaging, human-like interactions compared to traditional text-only chatbots - Automated actions including appointment scheduling, lead qualification, contact form collection, and CRM data updates triggered by conversation context Humassistant serves three primary use cases. For customer support, it provides 24/7 automated responses to common inquiries, reducing response times and support workload while maintaining consistent service quality across all channels. For lead generation, it qualifies prospects through conversational data collection and automatically schedules appointments with sales teams. For internal operations, it supports employee onboarding and acts as an internal knowledge assistant trained on company procedures and documentation. The platform includes a correction system that continuously improves AI response accuracy based on operator feedback and customer interactions. Administrators can review conversation analytics, track sentiment data, and monitor resolution rates through a centralized dashboard. Humassistant supports multilingual conversations with automatic language detection and is designed to work for organizations of all sizes. The platform is built with a focus on data privacy and offers configurable privacy consent flows to comply with GDPR and EU AI Act requirements. Target users include customer service managers, operations teams, marketing departments handling inbound leads, and IT teams responsible for deploying communication tools. The platform requires no coding to set up and can be configured and deployed within hours through a visual widget builder with live preview functionality. Humassistant is developed and operated by a team based in Italy, with the platform available in Italian, English, and Spanish.

HyperHelp AI

IAfon

IBM SQL Data Insights Pro

IBM SQL Data Insights Pro is an AI-powered analytics solution that helps organizations uncover patterns, relationships, similarities, and anomalies in mission-critical Db2 for z/OS data. It brings AI directly to enterprise data on IBM Z, allowing teams to analyze both structured data and unstructured text without moving sensitive data off the platform. Using AI-enhanced SQL, IBM SQL Data Insights Pro enables users to search and analyze data based on meaning and patterns rather than exact values alone. This can help organizations accelerate use cases such as fraud detection, risk analysis, customer insights, anomaly detection, and operational investigations while maintaining existing data governance and security controls.

Ijadi

Imaradesk

Implicit

Implicit is an AI-powered support and knowledge management software solution that helps companies automate complex support workflows, scale product expertise, and deliver accurate answers via both agent-assist and self-service experiences. Built for organizations with intricate product ecosystems (such as B2B SaaS, cybersecurity, manufacturing, electronics, product companies, aviation, etc.) Implicit uses advanced AI techniques and domain-specific reasoning to deliver contextually relevant answers to technical questions. It serves technical support, customer success, and knowledge management teams that need to reduce time-to-resolution, increase consistency in responses, and improve customer experience without scaling headcount. Implicit can be deployed in two modes: - Implicit Support (Copilot): Assists human agents with real-time, AI-suggested responses during live support sessions. - Implicit Knowledge (Chatbot): Enables customers to self-serve via a conversational AI interface that understands your product documentation. Key features and value propositions include: - GraphRAG AI Engine: Combines structured and unstructured data to understand relationships across products, issues, and resolutions. - Multi-Source Knowledge Integration: Ingests manuals, support docs, tickets, wikis, and more—without requiring manual tagging or restructuring. - Configurable Copilot and Chatbot Interfaces: Deployable as agent-assist tools in CRMs or as standalone self-service experiences. - Query Analytics and Feedback Loops: Provides insight into what users are asking and where knowledge gaps exist. - Scalable and Secure Infrastructure: Designed for enterprise environments with role-based access controls, data isolation, and robust query limits. The onboarding process is structured for rapid time-to-value, with most customers launching within hours. In just 10 days, teams can: - Upload documentation, benchmark chatbot accuracy, and align on their support use case (Day 0) - Refine product taxonomies and accuracy via feedback and edge case testing (Days 1–5) - Fully launch across teams and channels with >99% accuracy (Day 10) Customers typically experience: - 99%+ product question accuracy - 60% deflection of inbound support calls - 3× improvement in accuracy over generic LLMs - 20%+ increase in CSAT within weeks - Average platform launch time under 2 hours Implicit is suited for mid-sized to enterprise organizations aiming to scale support without scaling headcount.

Inagent

AI Agent Solution Inagent is an all-in-one solution that allows you to quickly implement autonomous AI agents on all text and voice channels with no coding. These agents understand the conversation’s context in >200 languages and dialects, make decisions, and execute actions via connection with business systems to offer responses with natural language. Inagent has a multiagent system designed to create agents specialized in particular processes or business areas. The Agent Quality Management panel facilitates real-time oversight of AI agent performance, allowing you to intervene in the event of negative emotions or complicated cases. Its Signals system detects recurring themes and provides advanced analytics to continuously improve the CX strategy. Capabilities unique to Inagent: Easy activation: Quick, no-code configuration: the only programming language you need to know is your own language. Connected to your business: Easy, secure integration with your business systems thanks to its API Rest design. Native connections with the entire Inconcert ecosystem. Omnichannel: A single configuration for all voice and text channels. Empathetic, multilingual communication: >200 voices available with natural language in any language or dialect. Interprets typos and emojis and adapts to the context. Enhanced control and automation: Guide or correct the virtual agent without interrupting the conversation with the customer via the Whisper function and the comprehensive Agent Quality Management dashboard. Scalable, secure solution: Specializes and adapts to the applications your business needs using a private and confidential knowledge base. Applications: Frequently asked questions Scheduling appointments Order management Collections management Outbound sales Lead pre-qualifier Complaint servicing Technical characteristics: Accuracy: AI agents work autonomously and reproduce human empathy Inconcert AI engine: Solve complex queries thanks to a proprietary AI engine trained on CX operations. They express themselves and sound like humans. A specialized team: multiagent capabilities to build a team of specialized agents for friction-free transfers. Each AI agent focuses on a business area to provide the best response at all times. Combine the best LLMs on the market Security: Data privacy guaranteed by top-tier tech partners Enterprise contracts with our AI suppliers for data privacy: each customer has a private and confidential knowledge base: one virtual agent learns from another. Data encrypted in transit and at rest. All infrastructure is on Amazon Web Services. We have the top security certifications such as CSA Trusted Cloud Provider seal, level 1 CSA certification in Security, Trust, Assurance, and Risk (STAR), PCI v4 Cloud Security Standards, ISO 27001, and CSA Certificate of Cloud Security Knowledge. Agility: trains and is configured 50 times faster Activate Inagent in minutes with no need to program: 1. Define its behavior, script, and personality: Prepare a script with instructions for its functioning, set automated rules, and align the response tone with your brand. 2. Create the knowledge base: Add documents with relevant information such as product spec sheets and terms and conditions of service. Accepts PDFs, images, and websites. 3. Assign the tools it can use: Enable actions that can run the agent autonomously, for instance checking the CRM or scheduling appointments. Maximum quality: supervise the virtual agents’ operations in real time Supervisor agent Whisper function Monitoring sensors Automatism management API-friendly: Easy, secure, and quick integration with any business system such as CRM or ERP Analytics: Optimize virtual agent operations and discover key insights Operation performance KPIs: it registers interactions by channel, TMO, transfers to agents, conversation summar, topics Business insights: provides insights and improves understanding of business and customers. Signals: trending topics and intentions, sentiment análisis, containment rate, agent capacity to resolve queries autonomously, behavior alerts