AI receptionists for Lehigh Valley businesses
Design a useful first call flow, test it with your team, and agree on the handoff before customer calls begin.
Om Concepts is preparing a GPT-Live-1 receptionist pilot for Lehigh Valley businesses. The first scope focuses on incoming inquiries, approved service answers, caller details, and a clear handoff to your team. Phone connections, calendar access, usage costs, and fallback behavior must be tested before a pilot handles customer calls.
Your front-desk core
Your front-desk core
2 options
Packages
Pick one to start. We can resize or combine later if the work calls for it.
GPT-Live-1 Pilot
Quoted after scoping
InquireOne business line with defined intake and human fallback
Agreed after integration checks
- Approved answers, intake fields, and handoff rules
- Isolated number and verified phone connection
- Test calls using synthetic contact details
- Failure, correction, and duplicate-action checks
- Acceptance report before customer-call routing
Operation and Support
Quoted after pilot testing
InquireA pilot that has passed its agreed acceptance tests
Recurring scope agreed before live trial
- Coverage hours and connected-minute allowance agreed in scope
- Phone, model, and integration costs stated separately
- Disclosed overage rate and spending limit
- Human fallback and an owner for failed calls
- Reviewed intake records and usage reporting
GPT-Live-1 pilot pricing is quoted after scoping. The proposal separates design and setup, connected phone service, model usage, integrations, and ongoing support. We measure connected minutes and test costs before agreeing on a monthly allowance or overage rate.
Scope and fit
Plan the first useful step
Begin with overflow and after-hours intake
Choose one business, one phone line, and a small set of common inquiries. The proposed flow identifies itself as an AI assistant, answers from approved information, confirms the caller's details, and creates a callback request. Your team handles quotes, complaints, and requests outside the agreed scope.
Add booking after it passes
A booking flow needs verified calendar permissions, availability rules, caller confirmation, and protection against duplicate appointments. Until those checks pass, the assistant collects a scheduling request for a person to confirm. A human-transfer path also needs an agreed destination and a fallback when nobody answers.
Hear the tests before launch
The pilot should demonstrate an ordinary inquiry, a caller correcting a phone number, interruption and background noise, an unknown answer, a request for a person, an unavailable calendar, and an unavailable transfer destination. Review the recording or transcript alongside the resulting callback record and any failed action.
Set clear operating boundaries
Agree on languages, service hours, recording and retention choices, escalation contacts, and the information the assistant can use. The initial pilot does not cover emergency dispatch, payments, or promises of an approved price. A text-chat demonstration on this site does not validate a phone receptionist.
Explore the work and options
- Plan your lead follow-up
Map the person and process responsible after a caller leaves a request.
- Test an AI receptionist
Twelve call scenarios with expected outcomes and failure criteria.
- Compare other AI services
Start with the workflow and choose the appropriate implementation.
- OpenAI's GPT-Live-1 documentation
The intended voice model. Provider capability is separate from a tested Om deployment.
Working across the Lehigh Valley
Serving businesses across the Lehigh Valley, including Allentown, Bethlehem, Easton, and Whitehall. In-person work is arranged during scoping; remote delivery is available. Each engagement defines access, responsibilities, and the evidence used to review the result.
Explore our service areaWhat this solves
- 01Calls going to voicemail while you are on a job
- 02After-hours callers booking the next company instead
- 03No record of who called and what they needed
Three layers, one front desk.
Anatomy
Three layers, one front desk.
A receptionist that answers is only useful when the conversation, the judgment, and your calendar work as one system.
- Call
- A clear greeting, caller intent, interruptions, and corrections. The voice layer is tested with representative phone audio before launch.
- Judgment
- Triage rules, qualification questions, the answers it may give, and escalation paths. What the desk decides on its own and what it hands to a human.
- Handoff
- Confirmed intake, tested handoffs, and records of completed actions. Calendar booking joins the scope only after permissions, availability, and duplicate protection are verified.
What you get
How the engagement runs
Click any phase to see what ships
Evidence and review
- GPT-Live-1 is the intended voice model; the Om phone pilot is being prepared
- Acceptance evidence will pair a test call with its actual intake record and handoff result
What the work looks like
3 artifacts
Common questions
What does it sound like?
The planned GPT-Live-1 pilot identifies itself as an AI assistant and uses your approved business information. You review test calls for clarity, interruptions, corrections, and fallback behavior before deciding whether it is ready for a limited customer trial.
Can it actually book appointments?
Booking is a later pilot capability, subject to your calendar's supported access, availability rules, confirmation flow, and duplicate checks. The first scope collects a scheduling request for your team to confirm. It does not promise a booked appointment before the integration succeeds.
What happens on a call it cannot handle?
The call design names a human destination and a callback fallback for busy, unanswered, or failed transfers. Complex quotes, complaints, and questions outside the approved information stay with your team. Each path is part of acceptance testing.
Will we lose the personal touch?
Start with overflow or after-hours intake and keep your team's preferred human contact path. Review caller experience during a limited trial before widening coverage.
How do we know what it said?
The pilot design includes a call record, the confirmed intake details, and evidence of completed or failed actions. Recording, transcript retention, access, and disclosure choices are agreed before testing with customer information.
Ready to scope AI Receptionist?
Thirty-minute working call. You leave with a direction, fit or not.