Convin
Convin is a contact-center automation platform that deploys voice, SMS, and website chat agents to handle inbound inquiries without human intervention. The voicebot answers calls 24/7 using LLM-powered natural language understanding, qualifies service requests on the same call, and books appointments automatically. After each interaction, it extracts structured data from the conversation and updates the connected CRM with a transcript and summary. Supplementary modules cover real-time agent guidance, supervisor monitoring, automated quality scoring across calls and chats, and an agent coaching system with peer-to-peer sessions and readiness assessments. All plans are enterprise-priced and require a custom quote.
Convin is a contact-center automation platform. InnovaAI rates it 3.1 of 10 for agency adoption, best for Operations Coordinator, Account Executive and Project Manager roles.
Agency Audit
Convin is an AI agent platform that automates inbound phone calls, SMS replies, and website chat for service businesses, handling lead qualification and appointment booking without human intervention. For digital agencies serving home service clients (HVAC, plumbing, electrical), adopting Convin internally lets Account Executives and Project Managers offload repetitive lead-intake calls and follow-ups, freeing capacity for strategy work. The platform captures call transcripts, updates CRM records automatically, and provides real-time agent coaching dashboards. Best suited for agencies with 5+ team members handling client intake or managing service-provider clients who need 24/7 responsiveness.
5recommended
90/mo
No paid plan published
High
Illustrative scenario. Not a guarantee. Net capacity needs a verified paid base plan, and none is published for this service, so it is not modeled. Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Operations Coordinator handling inbound lead qualification
- Account Executive handling appointment booking and confirmation
- Project Manager handling crm data entry after calls
- Your agency primarily serves B2B SaaS, creative, or professional services clients. Convin is purpose-built for home service verticals and will not integrate meaningfully into other client workflows.
- Your team operates asynchronously with minimal live phone interaction. Convin's value is tied to real-time call handling; if your intake is email-first or chat-only, the platform's core automation won't apply.
- You cannot commit to custom enterprise pricing negotiations. Convin does not publish per-seat rates, making it difficult to forecast costs or scale incrementally across your team.
Internal Adoption Path
No paid plan published
90 hr/mo
5 seats × 18 hr each
$6,750/mo
modeled at $75/hr labor rate
No paid plan published
Illustrative scenario. Not a guarantee. No verified paid base plan is published for this service, so subscription cost and net capacity are not modeled. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Convin
24/7 Inbound Voicebot
Answers every inbound call with a multilingual, LLM-powered voice agent that qualifies the service request and books the appointment on the same call. Operations teams stop losing after-hours leads to voicemail without adding headcount.
Automated CRM Updates
Extracts caller entities from each conversation and writes structured summaries directly to the CRM after every call. This removes the manual logging step that typically costs an Operations coordinator 30 to 60 minutes per day.
SMS Lead Response
Replies to inbound SMS inquiries within seconds and sends booking confirmations automatically. Account Executives no longer need to monitor a shared inbox for text-based service requests.
AI Website Chat Widget
Engages website visitors in real time, qualifies their service needs, and captures lead data without a human agent present. Useful for agencies managing home service business units where web traffic peaks outside staffed hours.
Real-Time Agent Assist
Provides live call transcripts, script guidance, and contextual help cards to agents during active calls. New hires on an Operations team ramp faster because coaching arrives in the moment rather than in a post-call debrief.
Supervisor Assist Dashboard
Gives Operations leads real-time visibility into active conversations, sentiment shifts, and compliance violations across the team. Supervisors catch problems during a call rather than discovering them in a weekly audit.
What Makes Convin Different
Unique advantages vs similar tools in this niche
Omnichannel response in under 5 seconds across phone, SMS, and web
vs Competitors that only automate one channel (e.g., phone-only IVR)Convin handles calls, texts, and website requests together so no lead falls through the gap.
End-to-end job booking from first contact to confirmed appointment
vs Lead capture tools that only generate leads without schedulingConvin qualifies, schedules, and confirms jobs automatically in under 5 minutes.
Latest Updates
Recent releases and improvements for Convin
From Visitor to Booked Job Automatically
NewConvin AIrespondsauto-schedulesVisitorlands on siteLeadqualifiedJobbooked &confirmed Capture Every Inquiry Instantly
What Makes Convin Different?
NewMost tools automate one channel. Convin handles calls, texts, and website requests together so jobs get booked faster.
All Your Channels in One Place
NewPhone, text, and website, handled together so no lead falls through the gap.
Responds in Seconds
NewCustomers get a reply the moment they reach out, day or night, weekday or weekend.
Booked Jobs, Not Just Leads
NewDoesn't just capture interest, qualifies, schedules, and confirms jobs automatically.
Value Equation
Outcome-likelihood-time-effort assessment for Convin
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. Convin has no published pricing, so we hold this section until real numbers are available.
Contact ConvinPricing
Platform cost for Convin
Custom pricing
Convin uses custom/enterprise pricing: rates aren't published publicly. Contact their team directly for a quote.
Contact ConvinMarket Intelligence
Offer + scale economics for Convin
Offer economics require real pricing
Offer economics, scale projections, and margin potential all depend on Convin's actual platform cost. Once pricing is published or shared with your agency, we'll compute the full breakdown here.
Contact ConvinInvestment Decision Framework
Strategic vetting analysis for Convin
Situational Fit
Fit depends on your client mix
Buy If
5Your Project Managers chase down client callbacks and appointment confirmations via phone and SMS. Convin automates booking confirmations and follow-up reminders, eliminating manual back-and-forth.
You manage HVAC, plumbing, or electrical service clients who operate 24/7 and currently miss after-hours leads. Convin's round-the-clock AI answering ensures no lead goes unanswered, directly improving your clients' revenue capture.
Your Account Executives spend 6+ hours per week fielding inbound client calls and qualifying service requests manually. Convin's AI voicebot handles initial intake, freeing AE time for higher-value client strategy conversations.
Your Operations team spends 4+ hours weekly transcribing calls and updating CRM records from client conversations. Convin auto-extracts entities, summarizes calls, and pushes data to your CRM, compressing that workflow to near-zero manual effort.
You need real-time visibility into client call quality and agent performance. Convin's Supervisor Assist dashboard and sentiment tracking let you monitor live conversations and flag compliance issues instantly.
Skip If
5Your agency primarily serves B2B SaaS, creative, or professional services clients. Convin is purpose-built for home service verticals and will not integrate meaningfully into other client workflows.
Your team operates asynchronously with minimal live phone interaction. Convin's value is tied to real-time call handling; if your intake is email-first or chat-only, the platform's core automation won't apply.
You cannot commit to custom enterprise pricing negotiations. Convin does not publish per-seat rates, making it difficult to forecast costs or scale incrementally across your team.
Your CRM is not among Convin's supported integrations. Without automated data sync, you'll still need manual transcript review and record updates, negating the operational efficiency gain.
Your clients operate in regulated industries requiring call recording consent and HIPAA compliance. Convin does not publish HIPAA certification, and consent workflows for AI-answered calls may conflict with your clients' legal requirements.
Bottom Line
Convin is an AI agent platform that automates inbound phone calls, SMS replies, and website chat for service businesses, handling lead qualification and appointment booking without human intervention. For digital agencies serving home service clients (HVAC, plumbing, electrical), adopting Convin internally lets Account Executives and Project Managers offload repetitive lead-intake calls and follow-ups, freeing capacity for strategy work. The platform captures call transcripts, updates CRM records automatically, and provides real-time agent coaching dashboards. Best suited for agencies with 5+ team members handling client intake or managing service-provider clients who need 24/7 responsiveness.
Reality Check
Convin requires enterprise-tier custom pricing with no published per-seat cost, making budget forecasting difficult for smaller agencies. The platform is purpose-built for home service verticals; agencies in other sectors will find limited relevance unless they're specifically managing HVAC, plumbing, or electrical service clients.
Moderate effort: standard configuration with some customization needed
Academy for Convin
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Residual Labor LedgerConcept
Residual Labor Ledger is a costing discipline: before pricing an AI voice agent retainer, count the human work that survives deployment. Every voice deployment leaves a tail of tasks (transcript review, escalation handling, consent logging, prompt repair after a bad call) and that tail, not the per-minute rate, decides whether the retainer holds margin. The framework asks agencies to log four numbers per client: calls handled without touch, escalations per 100 calls, minutes of human review per call, and cost per resolved call. Trillet's audit-trail design and identity verification reduce the review tail in regulated verticals, while Goodcall-style self-serve builds shift more repair work onto the agency. Forrester's 2027 predictions warn that AI budgets face P&L scrutiny rather than pilot credit, so a retainer priced on usage cost alone will look profitable in month one and thin by month six. Price after the ledger, not before.
- Escalation Fidelity ThresholdConcept
Escalation fidelity is the share of calls an AI voice agent routes to the right human, with the right context, at the right moment. It is the number that decides whether an agency voice retainer survives renewal, because a booking agent that handles 80 percent of calls but dumps the remaining 20 percent into a queue without caller history creates more client complaints than a missed call ever did. Measure it before pricing: pull 50 real call recordings, tag every handoff, and count how often the agent recognized the trigger (billing dispute, clinical question, angry caller) and passed a usable summary. Trillet's identity verification and audit trail exist precisely because regulated clients treat a mis-routed handoff as a compliance event, while Goodcall-style inbound capture leans on CRM sync to make the transfer legible. Agencies that quote a flat monthly fee before running this test are pricing blind.
- Consent Surface MappingConcept
Consent Surface Mapping treats every call recording, transcript, and outbound dial as a regulated artifact before it is a product feature. The framework asks agencies to chart three surfaces per client: what callers are told at the start of a call, what the voice system stores afterward, and which jurisdictions the calls touch. Each surface caps what the agent is allowed to do, so scope decisions follow disclosure rules rather than the reverse. This matters because voice deployments fail audits on recording consent and outbound dialing rules far more often than on latency or voice quality. A concrete case: Trillet verifies caller identity to compliance standards and keeps a full audit trail, which suits healthcare and legal retainers where an unlogged action is itself the liability. Agencies that map consent first can price a retainer against a defined scope; those that skip it discover the ceiling after the client's counsel reads the call flow.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Voice Agent Rule: Price the Retained Labor Before the RetainerEvaluation Rule
Do not quote a retainer until you have scored 50 to 100 real call recordings for escalation accuracy, latency, and post-call human minutes, then priced the labor that remains.
- Voice Agent Rule: Audit Escalation Accuracy on Real Calls Before Any Client RetainerEvaluation Rule
Run at least 50 real client call recordings through the candidate agent and measure escalation accuracy, latency, and consent handling before you quote a retainer.
- AI Voice Agent Decision: Metered Build vs Managed ResaleDecision Framework
IF a client's call volume, after-hours miss rate, and handoff rules can be measured from real recordings, THEN build a metered voice agent on conversational infrastructure and bill per resolved call. IF those inputs are unknown or the client cannot staff escalation review, THEN resell a managed white-label receptionist on a flat retainer and absorb the usage risk.
- Why AI Voice Agents Stall at the Handoff in Agency DeliveryFailure Pattern
- The Demo-Call Trap: Why AI Voice Agent Retainers Break on Real Call VolumeFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Missed-Call Recovery Voice Agent Offer (10-14 days)Implementation Blueprint
A productized engagement that deploys an AI voice agent to recover missed inbound calls, book appointments, and route escalations for service-business clients, priced only after real call samples and handoff rules are measured.
- Voice Agent Pilot Gate (Onboarding)Operating Procedure
- Call Sample Review Board (QA)Operating Procedure
- Missed-Call Recovery Handoff (Handoff)Operating Procedure
13 modules selected for Convin
Frequently Asked Questions
Answers about pricing, setup, implementation, and more
Convin deploys voice, SMS, and website chat agents that answer inbound inquiries around the clock, qualify service requests during the conversation, and book appointments automatically. After each interaction, it updates the CRM with a transcript and structured summary. The platform is built specifically for home service verticals including HVAC, plumbing, and electrical businesses.
All eight plans, including AI Phone Calls, Real-Time Agent Assist, Supervisor Assist, Convin Insights, Automated Quality Assurance, Automated Agent Coaching, AI Learning Management System, and Quality Management Software, are priced at custom enterprise rates. No published per-seat figure is available for any plan. You must contact Convin's sales team for a quote on each module.
Operations Coordinators gain the most immediate lift by eliminating manual CRM logging after every call. Account Executives stop losing after-hours leads because the voicebot qualifies and books callers without AE involvement. Project Managers benefit from auto-generated call summaries that replace manual job-history reviews. Founders or Operations leads overseeing a home service business unit use the Supervisor Assist dashboard to monitor team performance without sitting in on calls.
A conservative estimate for an Operations Coordinator handling 20 or more inbound calls per day is 3 to 5 hours per week recovered from manual CRM entry and follow-up scheduling. An Account Executive who previously monitored after-hours voicemail and returned missed calls could recover 2 to 4 hours per week. These figures assume Convin handles qualification and booking end-to-end without human handoff on routine calls.
Because every plan requires a custom sales engagement, rollout timelines depend on the procurement and configuration process rather than a self-serve setup. Teams should budget for a discovery call, a configuration period to tailor the voicebot scripts to their service lines, and a CRM integration phase before going live. A realistic internal launch window is four to eight weeks from first contact.
Convin writes call transcripts, entity data, and summaries directly to the CRM and supports follow-up campaigns via WhatsApp, SMS, and email. Specific CRM connectors are not listed publicly, so Operations teams should confirm compatibility with their existing system during the sales process. The website chat widget deploys as a standalone embed on any web property.
Convin does not publish a data-portability or retention policy in its public documentation. Before signing a contract, Operations leads should request written terms covering data export formats, retention periods after cancellation, and deletion timelines to avoid being locked out of historical call records.
The platform's positioning, feature language, and stated best-fit verticals all point to home service businesses such as HVAC, plumbing, and electrical providers. Agencies in other verticals would be adopting a tool whose conversation flows and qualification logic are tuned for service-booking scenarios, which may require significant reconfiguration to fit a different business model.