See exactly how an
AI receptionist
handles your callers

The AI Receptionist Demo is a live, interactive web experience where you play the role of a customer calling a local business, and an AI responds in real time as that business's receptionist. You can ask questions, request bookings, mention emergencies, or call outside business hours — and the AI handles each scenario exactly as a trained receptionist would. It is designed to give local business owners a concrete, hands-on feel for what an AI receptionist does before committing to implementation.

It is real AI — specifically Claude by Anthropic, running a custom receptionist persona configured for each demo business. The AI generates each response dynamically based on what you say; it is not playing back pre-recorded scripts or following a decision tree. This means the demo accurately reflects how an AI receptionist would handle the unpredictable, varied nature of actual incoming calls.

A traditional phone tree (IVR) presents callers with numbered menus and branches based on their key presses — it cannot understand natural language or handle unexpected inputs. An AI receptionist conducts a genuine two-way conversation: the caller can say anything, ask follow-up questions, change their mind mid-call, or use natural phrasing like "I need someone to look at my AC, it's making a weird noise" — and the AI responds contextually. The experience for the caller is indistinguishable from talking to a knowledgeable human assistant.

The demo is powered by Claude by Anthropic — specifically a fast model variant optimized for conversational response times. Claude was chosen for this application because of its ability to maintain a consistent persona, handle nuanced conversational flow, and produce natural, appropriately brief responses that match the cadence of a real phone conversation rather than generating essay-length replies.

In the demo, the AI can answer specific questions about the business (services offered, pricing, hours, location), capture caller information (name, phone number, best time to reach), handle appointment booking requests by collecting preferred dates and times, take messages for staff, and manage after-hours scenarios with appropriate empathy and urgency. It maintains the persona of the specific business throughout the conversation, not a generic assistant persona.

When a caller expresses intent to book an appointment, the AI follows the same information-gathering flow a human receptionist would use: it asks for the caller's name, best callback number, the service they need, and their preferred date and time. It confirms the details back to the caller and explains what happens next (e.g., "Someone from our team will confirm your appointment within an hour"). This mirrors how a trained front-desk employee would handle the call, not an impersonal booking widget.

When the AI encounters a question outside its configured knowledge — a very specific technical question, a pricing edge case, or something requiring human judgment — it acknowledges the limitation naturally, offers to take a message, and explains that the right person will call back. This graceful escalation behavior is intentional: a well-configured AI receptionist knows when to hand off rather than guessing, which maintains caller trust.

Yes, and after-hours coverage is one of the primary reasons businesses implement AI receptionists. The demo demonstrates 24/7 availability: if you ask the AI about after-hours emergencies, it responds with appropriate urgency and captures your contact information for rapid callback. Research suggests that 40% or more of missed call revenue comes from after-hours calls, making this coverage particularly high-value for trades businesses that currently rely on voicemail overnight.

The demo supports three business scenarios: Maple Street Plumbing & HVAC (a trades company handling service calls and emergency dispatch), Glow Salon & Spa (handling appointment booking, service inquiries, and pricing questions), and Peak Auto Service (handling appointment scheduling, service estimates, and vehicle status inquiries). These three categories cover the most common AI receptionist use cases and show how the AI adapts its tone and knowledge base to entirely different industries.

Trades (plumbing/HVAC), beauty services (salon/spa), and auto service represent three distinct call handling patterns: emergency and urgency-driven calls, appointment-centric calls with high personalization, and service-status and estimate calls. Together they cover the vast majority of scenarios a local service AI receptionist encounters, so the demo is instructive regardless of which industry the visitor comes from.

After the demo detects a booking intent keyword or after approximately 5 user exchanges, a contextual call-to-action appears prompting the visitor to learn about implementing an AI receptionist for their own business. This mirrors the natural flow of a real receptionist call — by the time you have had a full conversation, you have experienced the value firsthand and are ready to consider it for your own operation.

The exact figure depends on call volume and average job value, but for a typical local service business missing 5 calls per week at a 35% booking rate and $200 average job value, that is roughly $18,000 in annual lost revenue. An AI receptionist that answers all of those calls and converts even half of them at the same rate recovers $9,000 per year — easily justifying the $100–$300 per month implementation cost. Use Forgely's Missed Call Calculator to run the numbers for your specific business.

Best practice — and increasingly common regulation — requires disclosure that the caller is speaking with an AI. The most common framing is "Hi, you've reached [Business Name] — I'm an AI assistant and I'm here to help." Many callers accept this readily, especially for routine tasks like appointment booking. Full disclosure builds trust and avoids the backlash that can come from callers who feel deceived when they realize mid-call they have been talking to an AI.

Yes. Biz Profit Marketing sets up AI receptionists for local service businesses, configured with your specific business name, services, hours, pricing, and escalation procedures. The demo CTA links to a contact form where you can discuss your business's needs and get a custom quote. Each implementation is tailored to the business, not a generic template dropped in place.

Pricing varies by provider and the complexity of the implementation. For a fully configured AI answering and booking service from a specialist provider like Biz Profit Marketing, expect $100–$300 per month depending on call volume and customization level. This is typically a fraction of the cost of a part-time human receptionist, and it covers 24/7 availability without overtime, sick days, or turnover.

The demo on Forgely is for exploration and is not a white-label embed product. However, when you implement an actual AI receptionist through Biz Profit Marketing, a version can be configured for your own site as a chat widget — giving website visitors the same interactive experience while capturing leads directly from your homepage. Reach out via the demo CTA to discuss this option.

Yes, completely free and interactive with no signup required. You can have a full multi-turn conversation with the AI receptionist across any of the three demo businesses without creating an account or entering your email. The demo is there for you to experience firsthand before deciding whether to explore implementation for your own business.

Demo conversations are not stored or retained by Forgely after the session ends. The conversation exists only in your browser session. No personally identifiable information from demo conversations is saved, and nothing you say in the demo is used for training or profiling purposes.