Jobber
Field-service management platform with Jobber AI Receptionist, online booking, client management, scheduling, quoting, invoicing, and marketing tools.
Smith.ai is a 24/7 AI phone agent and receptionist service that answers every call for law firms and other small businesses, runs end to end intake, and turns callers into booked clients. Its homepage frames the job plainly: answer every call, book the consult, and sign more clients, with AI and live agents trained on the firm working as one system. The agent answers first, identifies the caller type, and qualifies the caller against the specifications the firm sets, so unqualified leads and matters outside the practice do not take calendar slots. Intake is specific to the firm and the practice area, capturing the right details for the matter at hand, and consults are booked live on the call, not on a callback. Complex or urgent matters are routed or transferred to the team or to a live agent with full context. After the call, the transcript, summary, and intake data sync into the CRM or practice management system, with action items, booking confirmations, or a retainer sent as the next step. Intake flows are tailored per practice area, not run from a generic script, with different questions and fields for personal injury, family law, criminal defense, estate planning, immigration, and employment law. Firms can also collect consultation fees, send retainers for e-signature, run conflict checks, reschedule appointments, and have intake forms completed into their own system. Three staffing models are offered: AI first for routine intake, a hybrid mix where AI handles routine calls and live agents handle complex ones, and human first virtual receptionists. Included features span bilingual English and Spanish, call recording and transcription with instant summaries, spam screening that blocks known robocalls, and a dashboard covering call volume, appointments, and call quality. Smith.ai states it integrates with more than 7,000 systems, naming Clio, Filevine, Lawmatics, MyCase, PracticePanther, Smokeball, Litify, Rocket Matter, HubSpot, Salesforce, and ServiceTitan. Its quality process trains on firm procedures, tests with simulations and human review, deploys with real time monitoring, and feeds call signals back into training. Buyers should confirm which work the AI handles alone, when live agents step in, and how caller disclosure is configured.
Field-service management platform with Jobber AI Receptionist, online booking, client management, scheduling, quoting, invoicing, and marketing tools.
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.
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.