Answer common questions
Respond to approved questions about services, hours, locations, policies, and other business information.
AI receptionist for small business
Give callers a helpful answer at any hour. LimePhone AI can respond using business information, capture leads, schedule appointments, and transfer the conversation to a person when human judgment matters.
Fully managed AI voice agents, connected to the LimePhone business phone platform.
One front desk, more useful outcomes
The AI receptionist follows the business rules, collects the right information, and moves each call toward a useful next step.
Respond to approved questions about services, hours, locations, policies, and other business information.
Ask the questions the sales team needs, record caller details, and separate strong opportunities from general enquiries.
Connect the call flow to scheduling tools so callers can move from enquiry to a confirmed next step.
Escalate urgent, sensitive, or complex conversations to the appropriate person instead of forcing automation.
Choose from multiple languages and voices to give more callers a consistent, professional welcome.
Send AI texts, update CRM records, and pass captured information into connected workflows.
How it works
LimePhone AI is a fully managed add-on, so the setup starts with the calls, information, and handoff rules that matter to the business.
Plan an AI receptionist demo →Decide which enquiries should be answered, captured, scheduled, or transferred.
Supply the business facts and instructions the AI receptionist should use during calls.
Link calendars, CRM workflows, texts, and the teammates who receive handoffs.
Review realistic call scenarios, adjust responses, and confirm escalation paths.
Built around real call intent
Customer support
Answer routine service questions, collect the issue, and transfer urgent or complex calls to the right team.
Useful for after-hours coverage and call peaksAppointment setting
Collect contact details, understand the request, and connect the caller with available appointment options.
Useful for services, consultations, and demosLead qualification
Ask consistent qualification questions and pass structured details into the follow-up workflow.
Useful for inbound sales and local service teamsAutomation with an exit
Define handoff rules for urgent requests, sensitive topics, high-value leads, or anything outside the approved scope. Callers get a direct path forward, and the team keeps control of the conversations that need judgment.
Explore call routingChoose the right call experience
Both improve call handling, but they solve different customer needs.
Conversational
Understands spoken requests, answers approved questions, captures information, supports workflows, and transfers based on the conversation.
Book an AI demoMenu-based
Plays greetings and lets callers choose a department or destination using keypad menu options.
Explore auto attendantCommon questions
Practical answers for teams evaluating AI call answering.
An AI receptionist is a voice agent that answers business calls, understands spoken requests, responds using approved business information, and moves the caller to a useful next step.
It can answer common questions, capture and qualify leads, support appointment scheduling, send texts, update connected tools, and transfer callers to a human.
Yes. The call flow can include human handoff rules for urgent, complex, sensitive, or high-value conversations.
The setup uses approved business information, instructions, and call-handling rules so responses stay aligned with the intended scope.
Yes. The AI receptionist can provide 24/7 call coverage, including busy periods, evenings, weekends, and other times when the team is unavailable.
A smarter first answer
Bring the key call scenarios. LimePhone will show how answering, qualification, scheduling, and handoff can fit into one managed flow.
LimePhone MCP is a Model Context Protocol connection for compatible AI assistants. It gives authorised workflows access to the LimePhone conversation context you permit—so teams can find answers, spot patterns, and prepare follow-up without replaying hours of calls.
The most common objection was price uncertainty (9 calls), followed by missing integrations (5). Three accounts asked for follow-up this week.
LimePhone MCP turns permitted call context into something compatible AI tools can query—without creating another dashboard people need to learn.
Ask natural-language questions across the call data your workspace makes available.
Identify recurring objections, urgent requests, common issues, and accounts that need attention.
Bring recent history, decisions, and open questions together before a follow-up call.
Create a first draft of an email, task list, or CRM note grounded in cited conversations.
Your assistant sends an approved request to LimePhone. LimePhone returns only the permitted context and links the answer back to relevant calls.
Three open issues: onboarding delay, call routing configuration, and billing clarification. The latest call requested a follow-up before Friday.
Search approved calls by customer, topic, date, person, or intent. Get a useful answer and jump back to the source when the exact wording matters.
Ask for a concise recap, action list, or follow-up draft. Your team reviews the result and stays focused on the customer instead of administrative work.
Thanks for the conversation today. I’ve included the rollout steps and the routing options we discussed…
Send rollout guide · Confirm billing contact · Schedule technical review
3 cited calls · 7 relevant moments
Analyse approved conversations for recurring topics and changes over time. Use the result to improve scripts, documentation, training, and product decisions.
Use the LimePhone MCP connection details in a compatible AI client or workspace.
Decide which workspace and conversation context the connection may request.
Ask a question, inspect the cited sources, and adapt the workflow for your team.
“Which new leads called this week and still need a follow-up?”
“Find every call where a customer asked about number porting.”
“Brief me on the last three conversations with this account.”
“Draft follow-up notes and next steps from today’s sales calls.”
“What objections appeared most often in renewal conversations?”
“Which support calls sounded urgent or need manager review?”
Use scoped access, approved tools, and source citations to keep AI workflows reviewable. The connected assistant receives only the context permitted for the request.
Model Context Protocol is an open standard that lets compatible AI applications request information or actions from connected services through a structured interface.
It can help compatible assistants search permitted conversation context, create summaries, surface patterns, prepare briefs, and draft follow-up grounded in call sources.
No. Access should be scoped to the workspace, tools, and context an authorised administrator permits. Review permissions before connecting an assistant.
The experience is designed to return relevant source calls or moments so users can inspect the context behind an answer.
Support depends on the AI client’s MCP capabilities and LimePhone’s current connection options. Contact LimePhone support for the latest compatibility details.
Connect LimePhone to a compatible AI workflow and start with one useful question.