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.
A signed client moves from proposal to kickoff to first review without the account lead chasing every contact.
The contract is signed, everyone is pleased, and then kickoff stalls for weeks while you wait on access, documents and a questionnaire nobody has filled in. This agent picks up every newly won client, books the kickoff and chases the right client contact for each missing input. Your account lead only steps in when a client goes properly quiet, and the relationship starts on time.

AI Customer Onboarding Agent for B2B Services picks up each newly signed client and tracks the steps between proposal and first account review: kickoff booked, questionnaire returned, access and documents shared, stakeholders named. When the client side goes quiet it emails the right contact or alerts your account lead. Every step it tracks is one you approve.
Slow onboarding is expensive for a service firm. Billable work cannot start, the client's enthusiasm cools, and your senior people spend hours chasing logins and paperwork instead of doing the work they were hired for. This agent takes over that chasing and keeps every new client moving from proposal to first review. Because the scope is written down before you order, you know exactly which systems it connects, which steps it tracks and when it hands a client to a person.
Booking the kickoff is the first step the agent tracks for each newly signed client. When nothing happens, it emails the right contact or alerts your account lead.
Returned questionnaires and shared access or documents are tracked milestones in the B2B Services map. Polite chasers follow your playbook, so your team stops writing them by hand.
Each step from proposal to first account review, including naming stakeholders, is tracked and approved by you. Leads can see which clients are stuck and on which step.
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: List your last few new clients with signing, kickoff and first review dates. Note which steps usually stall.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
You pay once for the build. Ongoing AI model usage and hosting cost roughly $50 to $250 a month in your own accounts, in addition to your CRM and calendar subscriptions.
Usage during build and testing is also billed to you, so client correspondence stays inside your own provider accounts.
Ask about running costsIf you need both calendar and document storage connected alongside the CRM, or a separate onboarding route per service line, note it at checkout for a written Change Quote. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionMonthly maintenance covers monitoring, fixes, updates, a health report and change hours, such as a new onboarding step for a new service. The hours scale with your build.
$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 | Client portal tools usually charge per seat | An operations consultant bills by the day | Ours is one fixed price, shown before you buy |
| Trigger | Someone has to start each onboarding by hand | Depends on the brief | Ours starts when the CRM marks a deal won |
| Chasing | A portal waits for the client to log in | Chasing stays with your team | Ours emails the right client contact and escalates silence |
| Delivery | Setup time varies with your configuration | Set per project | Ours has a fixed delivery time shown before you buy, with faster options |
When your CRM marks the deal as won, or at whichever stage you choose during intake. From that moment the client has an onboarding record with your steps, an owner and dates. Nothing depends on someone remembering to start it after the contract is signed.
Yes. Each onboarding step can be tied to the client contact responsible for it, for example finance for the purchase order details and the project lead for the questionnaire. Contacts come from the CRM and the signed proposal, and every message follows your approved wording.
It prompts the client contact to pick a slot and reminds them until a kickoff is booked, when your calendar is one of the two connected systems. If you would rather your account lead books kickoffs personally, that step can become a task for them instead.
It does not answer it. Scope, pricing and contract questions go straight to the account lead as a task, with the email thread attached. The agent only handles onboarding steps and reminders inside your playbook, so commercial conversations stay with the people who own the relationship.
Each delivery speed has one fixed price. The price panel shows standard, express and rush side by side before you pay, and the cart confirms your delivery date. Each option includes fifty documented test scenarios, two rounds of changes and a recorded sixty-minute handoff session. Running costs of roughly $50 to $250 a month are separate and paid to your own providers.
Not always. Shared steps with a few service-specific reminders fit inside the six workflows. If each service has a genuinely different path from signature to first review, that goes beyond the Scope Card, and a written Change Quote prices the extra paths before work starts.
Order AI Customer Onboarding Agent for B2B Services and each won deal starts its own onboarding, with kickoff booked and quiet client contacts chased well before your first account review.

Produces proposals, SOWs and pricing from discovery notes and templates.

Monitors client accounts, prepares check-ins and flags risks and opportunities.

Calculates account health from usage, support, billing and sentiment signals.