Genesys

Genesys Cloud is an enterprise customer experience platform from Genesys that runs a contact center, digital channels, workforce management, and analytics in one place, with AI agents and human teams working from the same system. The vendor describes the platform as agentic experience orchestration: on every interaction it perceives signals and context from the wider technology ecosystem, reasons through intent and goals, acts across the right people and systems through resolution, learns from the outcome, and governs the agents and guardrails behind it all, instead of pushing every customer through one fixed workflow. Teams build, test, and govern AI agents in one workbench, grounding actions in approved knowledge, connecting other systems and AI agents, and validating before publishing. Always on virtual agents deliver service at any hour in any language, and agents can be deployed across voice, text, web, social, and messaging channels, both inbound and outbound. Journey orchestration unifies data, memory, and real time context, understands intent, and routes a customer to the right person, AI agent, or flow with context intact, while connected front and back office teams automate the work behind an experience until it is fully resolved, even when a conversation moves from chat to a live agent to a phone call without the customer repeating themselves. For employees, the platform brings copilots, context, and knowledge together in one AI powered workspace, uses real time performance insights for coaching and development, and embeds its agent tools, routing, workforce engagement, and channels inside CRM workflows. The vendor says it connects to CRM platforms such as Salesforce and ServiceNow and to hundreds of other business systems through its AppFoundry marketplace and open APIs. Leaders can observe human and AI led conversations, forecast volume and plan capacity across human and AI agents, and drill into custom dashboards to find the cause behind a trend. The vendor reports, as of its fiscal 2026 figures published on its own product page, tens of billions of real time conversations a year with large voice transcription and API totals. Pricing is qualitative in structure: four per user tiers are billed on an annual commitment, moving from a voice focused contact center edition through omnichannel editions with quality assurance and compliance, then full workforce engagement, to a top edition with more included AI experience capacity. Named, concurrent, and hourly interacting licence models are offered, every package includes an allocation of AI experience units with usage based pricing applying to certain advanced AI features, and add ons extend areas such as workforce engagement, digital channels, customized analytics, and telephony, where customers can bring their own carrier or use the vendor cloud voice service.

AI Phone Agents

Automation Customer Support Speech

Visit Website

Similar listings in category

Jobber

Field-service management platform with Jobber AI Receptionist, online booking, client management, scheduling, quoting, invoicing, and marketing tools.

Business Tools Service Business AI AI CRM & Lead Management AI Chatbots & Website Receptionists Local-Service AI Tools Missed-Call Text-Back & Follow-Up Appointment Booking & Scheduling AI Phone Agents AI Tools for Contractors and Home Services Service Business

Retell AI

Retell AI is an AI voice agent platform for contact centers, in production at more than 4,000 businesses according to its homepage. Its agents answer inbound calls and place outbound calls, qualify leads, book appointments, check order status, and route or transfer callers to a live agent when needed. Retell is built for real contact center demands such as transfers, phone trees, outbound volume, and back end systems that have to work on every call. Features include agentic warm transfers, where the agent briefs the receiving person before connecting the customer, IVR navigation through complex phone trees and extensions, and a mix of deterministic and generative responses so critical steps such as disclosures and verification follow exact requirements while the rest of the conversation stays natural. During a live call, Retell agents can execute custom logic, access real time data, and complete tasks across business systems, from booking appointments to updating records. Persistent memory keeps a running brief on every contact across calls and texts, so returning callers can pick up where they left off. The platform also offers burst concurrency, sentiment analysis, AI quality assurance, live monitoring, and a shared caller history that can sync with an existing CRM or run in Retell CRM. CX teams build agents in a no code studio while developers extend them with APIs and SDKs, and every call is transcribed for review. Retell cites response times around 600 milliseconds and compliance with HIPAA, SOC 2 Type II, GDPR, and ISO 27001, with SSO, personal information redaction, and role based access control. On its pricing page, Retell describes true pay as you go pricing for voice agents at $0.07 to $0.31 per minute depending on the models, voice, and add ons chosen, with enterprise pricing custom, no platform fee, and 20 concurrent calls included. New accounts receive $10 in free credits on signup according to the homepage.

AI Phone Agents Automation Customer Support Speech

Vapi

Vapi is a platform for building advanced voice AI agents, aimed at builders who want to configure agents on their own terms. Its homepage tagline is voice agents for builders, with the promise that teams can build, deploy, and improve voice agents as fast as they ship. Vapi presents itself as one unified platform for all of a team's voice agents, combining orchestration, real time monitoring, and enterprise grade configurability built for scale. Builders configure everything from voice and conversation flow to telephony and integrations, while Vapi handles the infrastructure so a team can move from prompt to production fast, with build, test, and deploy described as taking minutes. Once agents are live, Vapi is built around continuous improvement. Teams can track what is working across every call, surface what is not, and keep improving the experiences that drive their business forward. The homepage reports scale figures of 1 billion calls supported, 2.5 million or more agents launched, and 1 million or more developers, with average latency under 500 milliseconds. A customer quote from Ring on the homepage says that customer went from zero to production in two weeks, that 100 percent of its inbound volume now runs through Vapi, and that customer satisfaction scores have improved while its high bar for support was maintained. For enterprises, Vapi lists a support SLA with contractual uptime and performance guarantees and reserved capacity sized to volume, dedicated deployment support with a dedicated engineer embedded in the team to get live in a week, and scalable infrastructure that can scale to millions of calls. Security and control features listed include SSO, OAuth, and role based access control, AI guardrails built in to prevent model hallucinations and ensure data integrity, and compliance described as SOC 2, HIPAA, and PCI compliant, with 99.9 percent uptime stated for enterprise clients.