Customer Support and Voice AI
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.
Inbound
AI Voice Customer Support
Support calls get troubleshot against your knowledge base and resolved on the spot, or escalated with full context.
Support calls are rarely quick questions. Someone's order failed, a feature broke or their account is stuck, and they want it fixed now. This agent answers your support line, asks the right diagnostic questions and walks callers through the fixes in your own documentation. When a fix does not work, it hands the call to a person with a summary, so nobody repeats themselves.
- Resolves common problems on the call using your own fixes
- Escalates unresolved calls with a written summary, not a raw transcript
- Logs every resolution in your CRM or helpdesk
$6,900
20–30 working days
Optional maintenance $345/mo
What it is
AI Voice Customer Support answers support calls and works through troubleshooting steps from your knowledge base, resolving what it can and escalating what it cannot. It asks diagnostic questions, checks account details in your systems, and hands off with a summary when a call needs a person.
Why businesses buy it
Every support call your team takes for a problem already documented is time not spent on the hard cases. Queues grow, callers wait, and frustration turns into refunds or bad reviews. This agent takes the known problems off the queue and fixes them using the steps you wrote, at any hour. The calls it cannot solve reach your team with the diagnosis already done. The Scope Card sets the flows, systems and test calls in writing, so you know exactly which support work it takes on before you commit.
Problems this solves
Support lines queue up with problems the knowledge base already solves
The agent answers support calls and works through troubleshooting steps from your knowledge base. Common problems can be resolved on the call, without waiting for a member of the support team.
Escalated callers have to explain the whole problem again
When a call needs a person, the agent hands off with a summary of what was asked and tried. Your support team can pick up where the call left off.
First-line staff spend half of each call looking up account details
The agent asks diagnostic questions and checks account details in your connected systems. By the time a person is needed, the basics have already been gathered.
Callers with a problem after hours have nowhere to turn
Support calls are answered on your number, including after hours. Callers can work through fixes from your knowledge base, and anything unresolved is handed on with a summary.
A good fit if
Callers usually have a specific problem to solve, not just a question to have answered, such as a broken feature, a failed order or an account issue.
You already have troubleshooting steps, a help center or documented fixes that a script could follow.
You want calls that cannot be resolved handed to a person with a summary, not just a raw transcript.
You track support outcomes in a CRM or helpdesk and want call resolutions logged there automatically.
Not the right fit if
Most calls are simple front-desk tasks: hours, bookings, directions. See AI Voice Receptionist, which is built and priced for that job.
You mainly need calls answered and routed, not diagnosed. See AI Inbound Call Agent, the flexible base for general inbound work.
Support calls need more than one language. This build ships in one language; talk to us about a multilingual build before ordering.
You are calling customers rather than receiving their calls. See AI Outbound Calling Agent.
How it works
- The call is answered on your support line, with the caller identified against your account or order records where you have connected them.
- It asks the diagnostic questions a support agent would ask, narrowing down the issue before offering a fix.
- It works the caller through the matching troubleshooting steps from your knowledge base, checking whether each step resolves the problem.
- If the issue resolves, it confirms the outcome with the caller and closes the call. If it does not, it escalates to the person or queue you set, with a written summary of what was tried.
- Every call is logged with a transcript, a summary and a resolution status, written into your CRM or helpdesk.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- A telephony account in your name, such as Twilio, Vonage or Exotel, with the support number to use or forward.
- Your troubleshooting steps, known fixes and help center content, so answers stay accurate.
- The escalation numbers or queues that unresolved calls should reach, and who owns each one.
- Access to the CRM or helpdesk that should record call outcomes.
- Your preferred voice, and the wording callers should hear about being recorded.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- One person who can approve the troubleshooting scripts and sign off the test calls.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake confirmed and troubleshooting flows agreed.
Weeks 1–2
Diagnostic flows and knowledge base built from your documentation.
Week 3
CRM or helpdesk connected and escalation paths tested.
Weeks 3–4
Fifty test calls run against real support scenarios, transcripts sent to you.
Week 4
Your review, with two rounds of changes to the flows.
Go-live
Live on your support line, recorded handoff session held, support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $6,900 |
| Express | 15–25 working days | $7,950 |
| Rush | 10–20 working days | $8,950 |
What you receive at handover
- AI Voice Customer Support live on your support number
- Workflow, prompt and guardrail configuration for up to five support call flows plus live transfer
- Connections to up to two agreed systems, such as your CRM and helpdesk
- A test report from test calls, with transcripts
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can help resolve routine support calls without a wait for an agent.
- Helps escalations reach your team with the context already gathered.
- Makes support answers more consistent across shifts.
- Calls resolved without escalation
- Count them in the call log each month. Compare call reasons to see which fixes work best on the phone.
- Handling time on escalated calls
- Use your phone or helpdesk report. Compare the four weeks before launch with the four weeks after.
- Repeat calls about the same issue
- Count customers who call again about one problem within a week, using CRM or helpdesk records. Compare before and after.
Before you start: Export four weeks of support call data, including handling times and escalations. List your most common call reasons.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is paid one time. Running the line is billed directly in your own accounts, typically $0.13 to $0.31 per call minute all in, covering the voice platform, the AI model and telephony, plus your number rental. Support calls tend to run longer than a simple booking call, since troubleshooting takes a few extra questions, so plan around your average call length rather than call count alone.
AI usage during build and testing is also billed to your own accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
Have troubleshooting needs beyond the Scope Card, such as a sixth flow or a second knowledge base? Add a note at checkout and you get a written Change Quote, with work starting only once you accept it. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a monthly health report and change hours to add new troubleshooting steps as your product changes. It starts once the thirty days of included support end and can be cancelled any month.
$345/mo (5% of the build price a month, includes 3 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A helpdesk voice add-on charges per agent seat or per resolution | A custom build gets quoted after discovery calls | Ours is one fixed price, shown on this page before you buy |
| Resolution logic | A generic bot reads a script without real troubleshooting depth | Depends entirely on what the agency scopes | Ours works your documented troubleshooting steps until it resolves or escalates |
| Delivery | A self-serve platform still needs your team to build the flows | An agency build usually runs several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
| Escalation | Often a plain transfer with no context passed along | Depends on what was agreed with the agency | Ours hands off with a summary of what was already tried |
Questions about this product
Can AI Voice Customer Support actually fix a caller's problem, not just log it?
Yes, within the troubleshooting steps you provide. It asks diagnostic questions, works through the matching fix, and confirms whether the issue is resolved before closing the call. If none of the steps work, it escalates with a summary rather than leaving the caller stuck or repeating themselves to a person.
How is this different from the AI Voice Receptionist?
The Receptionist answers routine questions and books appointments; it is not built to diagnose a problem. This build is scoped specifically for troubleshooting support calls against your documentation, with escalation when a fix does not work. If most of your calls are about hours, bookings or directions, the Receptionist fits better and is the simpler line to run.
What are the monthly running costs for AI Voice Customer Support?
Call minutes run roughly $0.13 to $0.31 all in, covering the voice platform, the AI model and telephony, plus number rental, billed in your own accounts. Support calls often run a little longer than a booking call because of the diagnostic questions, so your monthly total tracks average call length as well as volume.
How long until it is answering our support line?
The delivery panel on this page shows the fixed timeline for each speed. The clock starts once intake is complete: your troubleshooting documents, the support number and access to your CRM or helpdesk. Fifty test calls come before launch, so you hear how it handles real problems and can adjust the steps in two change rounds.
Do callers know they are talking to an AI agent?
Yes. The greeting carries a short disclosure in wording you approve, delivered before the call proceeds, which several US states and countries require for automated calls. You set the exact phrasing during intake, and it can be changed later through monthly maintenance.
Can we update the troubleshooting steps after launch?
Yes. Small updates, such as a new known issue or a revised fix, fit inside the monthly change hours in maintenance. A larger addition, like a whole new product line's troubleshooting content, is scoped and quoted as an Additional Workflow before the work begins.
What access does your team need to get this live?
Your troubleshooting documentation, the telephony number for the support line, and access to the CRM or helpdesk that should record outcomes, shared by adding our team as a user or creating a key you control rather than emailed. Expect to spend one to two hours pulling this together during the 72-hour intake window.
Guides on this topic
All guides Let support calls get resolved before they reach a person.
Order AI Voice Customer Support and it is troubleshooting real calls against your knowledge base on a fixed delivery date.
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