AI receptionist for small business: calls, bookings and handoffs
What an AI receptionist does on a real call, the rules that apply, a sample greeting and a pass/fail checklist to launch one safely.
Every completed sales call reviewed and labeled qualified or not, with the reasoning attached.
Marketing pays for every inbound call, but nobody can say which callers were real buyers. AI Call Qualification Agent reviews each finished call and labels the caller qualified or not, using your criteria such as budget, need and timeline. Qualified leads are flagged to sales with the call summary, so reps act fast. You set and adjust the criteria.

AI Call Qualification Agent is an AI agent that reviews calls after they end and decides whether the caller was a qualified lead, using the criteria you set, such as budget, need and timeline. It works on finished calls, not live ones.
When lead quality is judged by whoever took the call, good leads get missed and weak ones clog the pipeline. Sales chases the wrong callers, and marketing cannot tell which phone leads were worth the money. This agent reviews every finished call against the same written criteria and sends qualified leads to sales with the reasons attached. Your reps spend time on callers ready to buy. The Scope Card fixes the criteria, the data sources, the routing and the testing against three months of your calls before you order, so the labels match your own judgment.
After each call ends, the agent reviews it against your criteria, such as budget, need and timeline. It records whether the caller was a qualified lead and why.
Qualification results are reported through one dashboard or recurring report. Linking them to your lead source data shows which channels bring callers worth following up.
The same criteria are applied to every finished call. Results are consistent, so managers can compare reps and periods fairly. It also removes the guesswork from end-of-month lead counts.
Up to five alerts can flag a qualified lead as soon as the call is reviewed. Your team can follow up quickly instead of waiting for a weekly review.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
Before you start: Note how calls are judged as leads today and by whom. Pull three months of call and deal data for comparison.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build price is one-time. Running it costs roughly $20 to $150 a month in your own accounts, covering AI model usage and the hosting or scheduler that reviews the calls.
AI usage during the build and testing is also billed to your accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsIf you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionWe recommend monthly maintenance, which covers monitoring, fixes and a monthly allowance of change hours, for things such as an updated qualification criterion or a new routing rule. It starts after the 30 days of included support and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A lead-scoring tool is priced per seat, on top of your CRM license | A custom build gets quoted after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Scope | A lead-scoring tool ships a generic scoring model | An agency agrees scope during the project | Ours is built on the qualification criteria you already use |
| Coverage | A lead-scoring tool often needs manual review to confirm a score | An agency build depends on what was agreed | Ours reviews every completed call inside the agreed scope |
| Delivery | A lead-scoring tool needs weeks of model tuning | An agency project usually runs several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| What it judges | A lead-scoring tool rarely explains its own score | An agency build depends on what was agreed | Ours writes the reasoning behind every qualified or not-qualified label |
The fixed build price for each delivery speed appears in the price and delivery panel on this page, and it covers everything on the Scope Card. That includes setting up your qualification criteria, testing the labels against three months of your own call history, two rounds of changes and thirty days of support after launch.
No, it reviews calls after they end and applies your qualification criteria to the transcript, rather than asking questions live. If you want qualifying questions asked on the call itself, AI Voice Receptionist or AI Voice Customer Support are the right starting points, since they handle the live conversation.
Running costs sit at roughly $20 to $150 a month in your own accounts, covering AI model usage plus the hosting or scheduler that reviews the calls. You pay those providers directly, in your own name, so you keep full ownership of every account. We charge nothing per call reviewed.
AI Call Qualification Agent judges whether a caller was worth pursuing, based on budget, need and timeline. AI Call QA judges how well your team handled the call, such as the greeting and script adherence. One is about the lead and the other is about the agent, so they answer different questions and can run side by side.
We need read-only access to your call recordings or transcripts, at least three months of history to test against, and your qualification criteria in writing. Tell us where qualified leads should go, such as your CRM or a sales queue, and who should be alerted. Access is shared by adding our team as a user or creating a key you control, never by email.
Yes, every label carries a note that it came from an AI agent reading the call transcript, so your reps know its source before acting on it. You approve the wording during intake, and it can be updated later through monthly maintenance if your internal process requires different disclosure.
Yes, adjusting an existing criterion, such as a different budget threshold, fits inside the monthly change hours that come with maintenance. Adding a whole new qualification path, for example a separate flow for a different product line, comes through the Additional Workflow add-on, quoted before it starts.
Order AI Call Qualification Agent today and it goes live on a fixed delivery date. The scope above is exactly what you get, in writing, before you pay.


Qualifies inbound WhatsApp leads and routes them to sales.
