We deploy AI agents that handle inbound across voice, web chat, SMS, and social DMs. The same agent qualifies the lead, books the appointment, and runs the follow-up sequence.
The phone rings. The web chat opens. The SMS arrives. The social DM lands. A growing operation has volume on every channel and cannot afford to staff each one with a human who never sleeps. So we deploy an agent that does.
Generic chatbots fail at the day-two reality of a real operation. The buyer asks something the FAQ does not cover, the calendar conflict the bot did not check causes a double-booking, the follow-up sequence stops responding when the lead replies. We build past those failure modes. When the use case calls for internal-facing AI instead of buyer-facing automation, the work moves into AI consultancy.
The same agent works across voice, web chat, SMS, and social DMs. It qualifies the lead against the criteria your team actually uses, books the appointment with conflict locks against your calendar, and runs the multi-touch follow-up sequence until the lead either books, declines, or asks to talk to a person.
Your team handles what actually requires a human. Everything else runs on its own, around the clock, with the same conversational quality on every channel. The agent escalates the right calls to a human and never the wrong ones. The pattern is field-proven across plumbing, HVAC, and law firm intake.
One agent across the channels. One set of qualification rules. One source of truth for the conversation. Patterns proven on electrical contractors and roofing operators where the routing rules are non-negotiable.
Qualification questions tuned to your team's criteria. Intent scoring based on the conversation. High-intent leads escalated to a human inside seconds; low-intent leads kept in the follow-up sequence.
The agent books directly into your calendar with hard conflict locks so the same slot is never double-booked. The same booking system runs medical and dental practice intake and restaurant reservation density.
The same agent runs the follow-up cadence after the first contact. SMS, email, voice callback, social DM, depending on what the buyer answered first. Often paired with local SEO on the front end so the volume is there to handle.
A week mapping your inbound flow: channels, qualification criteria, calendar integration, CRM, follow-up cadence, escalation rules. The output is the agent specification.
Agent built against your spec, trained on your business knowledge, integrated with your calendar and CRM. The math behind the buy-versus-build call on inbound automation is laid out in our case study on the cost of voicemail leakage.
Deployed to one channel first, typically web chat. Monitored daily for the first two weeks. Conversation logs reviewed and prompts tuned. Edge cases routed back into training.
Once the pilot channel runs clean, the remaining channels go live in sequence. Ongoing tuning on a monthly retainer. Many clients add an AI-optimized site so the agent has a fast public surface to live on.
Modern voice models are indistinguishable from a human on a routine call. The agent identifies itself as AI when asked. Most callers do not notice.
English and Spanish out of the box. Other major languages available with a short tuning engagement. The agent can switch languages mid-conversation if the caller does.
The agent escalates based on rules you set: high-intent leads, complex requests, or explicit caller request. Handoff happens in the same channel with full conversation context.
A build fee for the initial agent and a monthly retainer for hosting, tuning, and channel operations. Pricing scales with conversation volume, not seat count.
The major CRMs and scheduling tools out of the box. Custom integrations are scoped during the discovery week and handled inside a white-label engineering tier for agency resellers, or directly for retainer clients. No proprietary lock-in.
Tell us where your business is stuck and we'll walk through how Rhetor would run it. The marketing that gets you found across Google and every AI platform, the agents that handle the inbound and follow-up, and the engineering when the work calls for custom AI built around how your business actually runs.
