AI receptionist for small business: phone answering guide
Learn how an AI receptionist handles customer calls, filters routine questions, routes complex requests to staff, and connects directly to your existing business phone number.
## What an AI receptionist does on an incoming call An **AI receptionist** answers incoming company calls, identifies caller intent, answers common questions, and routes requests to staff. This AI phone answering service uses conversational voice models to speak directly with callers. It collects caller details, updates calendars, and completes live transfers when staff intervention is needed. On any incoming conversation, the system divides responsibilities: * **Answers and identifies intent:** Greets the caller, says it is an AI assistant, and asks how it can help. * **Resolves simple requests:** Shares business hours, addresses, service guidelines, and basic administrative information. * **Gathers operational data:** Collects names, telephone numbers, quote parameters, and appointment preferences, then pushes them to your CRM via webhooks or API. * **Transfers when appropriate:** Routes the caller to a specific person or desk based on the rules you configure. * **What stays with your staff:** High-stakes negotiations, complex technical support, sensitive disputes, and client relationships. For companies that want to run outbound campaigns alongside inbound reception, read our guide on how AI phone agents work and what they cost. ## What callers actually ask: handling the six core call types In routine business operations, phone traffic falls into predictable categories: general information, appointment bookings, price quotes, callback requests, client support, formal complaints, and wrong numbers. A **virtual receptionist AI** categorizes each conversation quickly, then applies your configured rules: answer directly, record details, or forward the call to an employee. A clear operational example comes from the insurance agency Agenzia Unipol Cerignola. Their phone assistant, Adriana, answers the agency primary inbound line and sorts incoming calls into six distinct categories: 1. **Transfers:** The caller asks for a specific agent or department. The assistant executes a live transfer to the correct colleague. 2. **Quotes:** The caller wants a price estimation. The system collects vehicle, property, or coverage specifications and queues a quote request. 3. **Callbacks:** The caller requests a return phone call. The assistant notes their contact details, notes the topic, and notifies the office. 4. **Information:** The caller asks about office location, opening times, or documentation. The agent answers immediately and closes the call. 5. **Claims:** An insured client reports an accident or property damage. The assistant collects the initial incident details for the claims team. 6. **Appointments:** The caller wants a scheduled meeting. The system takes the required details and places the booking directly into the calendar. During a two-month operational period, Agenzia Unipol Cerignola logged 725 inbound calls. The system completed 47 information requests directly on the line, scheduled 13 appointments in the calendar, recorded 17 quote requests, took 6 claims, and registered 60 callback requests from prospects. Only 200 of the 725 calls needed a live human operator. The rest were managed by collecting data or providing answers on the line. ## How an AI switchboard connects to your current phone line An **AI switchboard** works with your existing phone provider and hardware. You keep your current public phone number across your website, directories, and marketing materials. You connect your line using one of two methods: * **Call forwarding:** Configure rules with your existing telephone carrier. Forward all calls to the virtual assistant number, forward calls when the line is busy, forward after several rings without an answer, or forward calls outside office hours. * **SIP or VoIP trunking:** Connect your virtual PBX or cloud telephony setup to the voice system through standard SIP credentials. Setting up **AI call answering** involves four deployment steps: 1. **Define your operational rules:** Specify your operating schedule, list the questions the assistant should answer directly, and set the parameters for transferring calls to staff. 2. **Connect your knowledge base and tools:** Supply the company details the agent shares, and connect your database, calendar, or CRM (such as HubSpot) via webhooks or API. 3. **Configure call routing:** Activate call forwarding with your telecom provider or point your SIP trunk toward the voice platform. 4. **Review the initial transcripts:** Check the text transcripts of the first incoming calls, review caller questions, and refine answers where needed. ## Transfers to people: handoff rules and context An automated receptionist protects team working hours. You configure the routing logic, determining who receives which call, during which hours, and on which extension or mobile number. When a caller asks for specialist advice, complex pricing, or an urgent escalation, the assistant initiates a live transfer. For transfer protocols and configuration details, read our guide on voice agent call transfers and human handoff. During a transfer, the agent can notify your team member with the caller identity and intent before connecting the audio. If the employee line is busy, or if nobody picks up after several rings, the assistant resumes the conversation with the caller. It explains that the specialist is currently busy, collects contact details and availability, and logs a structured callback task in your CRM. At Agenzia Unipol Cerignola, call transfers were attempted 207 times across two months. Out of those attempts, 200 transfers connected successfully to staff members, reaching a 96.6% transfer completion rate. ## Field results across small and mid-sized businesses The table below details operational data from live deployments across different commercial environments: | Business | Sector | Monitored period | Inbound calls | Main measured outcome | | :--- | :--- | :--- | :--- | :--- | | Agenzia Unipol Cerignola | Insurance | 2 months | 725 calls | 200 of 207 transfers successful (96.6%); 60 callbacks, 17 quotes, 13 appointments booked. Correct handling rose from 63.4% in July to 93.2% in August. | | Cusani 10 Luxury Real Estate | Real estate | Just over 6 months | 843 calls | 843 calls completed (100%); 265 callbacks logged (31.4%); 130 viewing requests (15.4%); almost 23 hours of phone time saved. | | Gruppo Dirigì | Hospitality (2 pizzerias) | 3 April to 17 June 2026 | 1,642 calls | 676 calls reached primary goal (41%: reservations taken or correct transfer); 1,515.6 conversation minutes recorded. | | Italian multi-specialty medical centre | Private healthcare | 3.5 months | 2,935 calls | 73.6% goal achievement rate; failed calls dropped from 18.0% in June to 2.9% in September; average quality score 8.1/10. | | Playa Aruba | Beach hospitality | Late May to mid-September | 7,151 calls | 7,145 calls completed (99.92%); 102 conversation hours; July peak reached 110 calls per day. | For detailed background on each deployment, read the case studies for Cusani 10 Luxury Real Estate, Gruppo Dirigì, the Italian multi-specialty medical centre, and Playa Aruba. ## Industry-specific reception setups Call patterns and customer expectations vary by industry. A bistro takes table bookings during dinner rushes, a garage coordinates repair drop-offs, and an estate agency answers viewing requests while agents are on property visits. You can adjust the voice assistant to match each workflow. Read dedicated setups in our guides for restaurants managing peak phone orders, beach clubs dealing with intense seasonal call volumes, real estate agencies organizing property inquiries, and car dealerships coordinating service desk appointments. See more features on our main DeepAgent overview page. ## Example conversation on a commercial line The following dialogue shows how an **AI receptionist for small business** identifies intent, collects details, and logs a team callback when staff are busy. * **Assistant:** "Good morning, you have reached Apex Consulting. I am an AI assistant. How may I direct your call today?" * **Caller:** "Hello, I need to speak with someone about auditing our commercial premises next month." * **Assistant:** "I can help you arrange an inspection. May I take your full name and the name of your organization?" * **Caller:** "Yes, my name is Taylor Reed from Reed Logistics." * **Assistant:** "Thank you, Taylor. What is the best telephone number to contact you on?" * **Caller:** "You can reach me directly on this line." * **Assistant:** "Understood. Our commercial audit team is currently conducting on-site assessments. I have logged your details and your request for a premises inspection next month. A consultant from the audit team will call you back. Is there anything else I can help with?" * **Caller:** "No, that covers it. Thank you." * **Assistant:** "Thank you for calling Apex Consulting, Taylor. Have a good day." ## Key performance metrics to track in the first weeks Track early deployment results against baseline figures in your dashboard: * **Total calls handled:** The overall call volume answered by the system. * **Calls resolved directly on the line:** Inquiries where callers received an answer regarding hours, directions, or policies without human involvement. * **Transfer volume and success rate:** Callers requesting a person who were successfully connected. * **Logged callbacks and appointments:** Structured contact records generated and sent to your CRM or calendar. * **Failed or unclear calls:** Calls where the caller hung up quickly or the intent remained unresolved. * **Share of requests handled correctly:** Percentage of conversations lasting longer than 30 seconds that reached their operational goal. These numbers moved while the agents were being adjusted. At Agenzia Unipol Cerignola, the share of requests handled correctly on calls over 30 seconds rose from 63.4% in July to 93.2% in August while the agency reviewed outcomes and transcripts. The Italian multi-specialty medical centre saw its failed call rate drop from 18.0% in June to 2.9% in September (partial), a drop of 15.1 percentage points. ## Privacy guidelines and AI transparency regulations Compliance requires transparent technical behavior and clear disclosures. Under EU AI regulations, automated conversational systems must inform people that they are interacting with an AI system, unless this is obvious from the context. Your operational setup should incorporate these standard measures: * **Explicit AI disclosure:** The assistant should state clearly in its introductory sentence that it is an artificial voice assistant. * **Call recording and transcription notice:** If your organization records incoming audio or keeps written transcripts, inform the caller at the beginning of the call in line with local communication regulations. * **Data minimization and retention rules:** Only store customer data required to fulfill the request. Configure retention schedules for audio files and written transcripts after discussing your requirements with your Data Protection Officer (DPO). Read our detailed briefing on GDPR compliance for AI voice systems. If you want to configure your assistant to handle inquiries outside regular hours, read our guide on round-the-clock customer service automation. ## Costs and DeepAgent subscription plans DeepAgent provides structured subscription tiers for different call volumes: * **Starter:** €99 per month * **Pro:** €299 per month * **Growth:** €500 per month * **Scale:** €799 per month * **Enterprise:** Available via custom quote All prices exclude VAT. Annual billing provides a 17% discount compared to monthly invoicing. Compare features on our pricing page. To try it, create an agent from the signup page: 30 minutes free, no card. If your company uses a touch-tone system, read our guide on how to replace an IVR with an AI voice agent to map options to intents while keeping your current phone number. When your team is unavailable to take calls, see how to set up an AI voicemail for business that transcribes caller requests into written notes. ## Frequently asked questions ### What is an AI switchboard or AI receptionist? An AI switchboard or AI receptionist is a software system that answers incoming calls on your regular business phone number using conversational voice AI. It identifies why the caller is reaching out, provides direct answers to repetitive questions, collects caller details for quotes or callbacks, and routes calls to human team members when necessary. ### Can I keep my current phone number? Yes. You keep your existing business phone number. You connect the system by setting up conditional or unconditional call forwarding through your carrier, or by connecting your line directly via a SIP or VoIP trunk. ### Can the AI receptionist transfer calls to my staff? Yes. You can configure routing rules so the assistant transfers specific inquiries directly to individual colleagues, internal extensions, or mobile numbers. If an employee is unavailable or does not answer, the assistant logs the caller details and books a callback. ### What happens outside office hours? You set your opening hours and select the after-hours behavior in your settings. You can instruct the agent to inform callers that the office is closed, share basic business details, record messages, take appointment requests, or schedule callbacks for the next working day. ### How much does an AI receptionist cost? DeepAgent plans start with the Starter tier at €99 per month. The Pro tier is €299 per month, the Growth tier is €500 per month, and the Scale tier is €799 per month. Enterprise options are available via custom quote. All listed prices exclude VAT, and choosing annual billing reduces the cost by 17%. ## Automate your business phone answering with DeepAgent Talk to sales → · Create your agent →