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.
Front Line
AI Technical Support Agent
Product issues get worked through step by step, with diagnostics collected before anything escalates to a person.
Technical tickets often arrive with almost nothing useful: it is broken, please help. Your specialists then spend the first reply asking for the model, the version and the error. This agent works through your own troubleshooting steps with the customer, collects those details as it goes, and fixes what your documentation covers. When it cannot, the case reaches a person with every diagnostic already gathered.
- Customers guided through your own troubleshooting steps
- Device details, versions and error messages collected up front
- Escalations arrive complete, so specialists start on the fix
$5,900
20–30 working days
Optional maintenance $295/mo
What it is
AI Technical Support Agent troubleshoots product and technical issues step by step from your approved documentation, collects diagnostics such as device details and error messages, and hands off unresolved cases with everything already gathered. It answers only from the documentation you approve and tags each conversation with how it was resolved.
Why businesses buy it
Every technical escalation that starts from zero costs you twice: the customer waits through a round of questions, and a skilled person spends time collecting facts instead of solving the problem. Over a month, that back-and-forth becomes the slowest part of your support. After launch, common issues are resolved from your approved documentation, and the rest arrive with diagnostics attached. The Scope Card sets the channel, systems, workflows and handoff thresholds in writing before you order, so you know exactly where its troubleshooting stops and your team takes over.
Problems this solves
Engineers spend hours on fixes already written in your documentation
The agent troubleshoots step by step from the documentation you approve, up to 100 documents. Common technical issues are resolved before they reach your second-line team.
Escalated cases arrive missing device details and error messages
Before handing off, the agent collects diagnostics such as device details and error messages. Unresolved cases reach your team with everything already gathered, so the first reply can be a real answer.
You cannot tell which issues are solved and which keep returning
Each conversation is tagged with how it was resolved. Over a few weeks, that record shows which problems your documentation handles well and which keep needing an engineer.
A good fit if
Your team handles technical or product issues that usually start with the same clarifying questions before a fix is found.
You have documented troubleshooting steps, known-issue notes or past resolved tickets it can learn from.
You're tired of engineers or senior staff starting from zero because diagnostics weren't collected up front.
You use a helpdesk such as Zendesk, Freshdesk or Intercom that it can connect to for handoff.
Not the right fit if
Your questions are simple FAQ topics, not technical troubleshooting. See AI FAQ Agent, which is scoped and priced for that.
Most of your questions are about order status or delivery, not product issues. See AI Order Support Agent, which is built around live order data.
You want one broader agent covering technical issues plus general support topics together. See AI Customer Support Agent, which is built wider.
You need more than two connected systems with write access or more than six workflows. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form.
How it works
- It works from your own troubleshooting knowledge. Up to 100 documents, your help center, known-issue notes and past resolved tickets, approved before it answers a single question.
- A reported issue is worked through step by step. Asking the same clarifying questions a technician would, matched against 10 real sample conversations you provide, rather than jumping straight to an answer.
- Diagnostics are collected before anything escalates. Device details, error messages, steps already tried, gathered in the conversation so a human never starts from zero.
- Fixes inside its confidence threshold are given directly. From your approved documentation only, never an improvised workaround.
- Unresolved or complex issues hand off with full context. To the ticket or engineer queue in your connected system, with the diagnostics attached, not just a transcript.
- Outcomes are tagged and tested before launch. 50 documented scenarios covering common and edge-case issues, so accuracy is proven against your actual product, not a demo script.
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.
- Admin or API access to your helpdesk and any other connected system, sandbox or test records if you have them.
- Your documented troubleshooting steps, known-issue notes and escalation rules.
- Ten real sample conversations or tickets showing the kind of issues it should handle.
- The approver, or the queue, named for issues that need to escalate to a person.
- 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.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the finished playbook.
- A rough count of your current help articles, FAQs and saved replies, so we can check there is enough source content to answer from.
- 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 verified, troubleshooting steps and escalation rules agreed.
Weeks 1–2
Knowledge base and channel connected, workflows built.
Week 3
Helpdesk and escalation queue connected and tested.
Weeks 3–4
50 documented test scenarios run and reviewed with you.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, 30 days of support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,900 |
| Express | 15–25 working days | $6,800 |
| Rush | 10–20 working days | $7,650 |
What you receive at handover
- The technical support agent deployed in your environment on one agreed channel
- Troubleshooting workflow, prompt and guardrail configuration for up to six workflows with your approval rules
- Connection to up to two systems, such as your helpdesk, with read and write access
- Test report covering 50 documented technical scenarios
- Admin guide, recorded 60-minute handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Customers can work through common faults without waiting for an engineer.
- Engineers can start escalated cases with diagnostics already in hand.
- Resolution tags make it easier to see where documentation needs work.
- Cases resolved at first line
- Count conversations tagged as resolved by the agent each week. Compare with tickets reaching second line over the same weeks.
- Diagnostic back-and-forth
- Sample escalated tickets and count messages spent requesting device or error details. Compare a month before launch with a month after.
- Time to resolve escalated cases
- Use your helpdesk to compare average resolution time on escalated tickets for four weeks before and after launch.
Before you start: Record a month of technical ticket volume, escalation counts and resolution times, plus a sample of how often diagnostics were missing.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running it costs roughly $50 to $250 a month in your own accounts for AI model usage and hosting, on top of your existing CRM or helpdesk plan.
AI usage during the build and testing is billed the same way, in your own accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
If you need a third connected system, more than six workflows, or troubleshooting in more than one language, add a note at checkout for a written Change Quote.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and change hours for work such as a new known-issue note or an updated troubleshooting step. It starts after the post-launch support period, bills monthly and can be cancelled any month.
$295/mo (5% of the build price a month, includes 2 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 technical helpdesk bot charges a monthly fee per ticket volume | A support agency quotes a monthly staffing retainer | Ours is one fixed price, shown on this page before you buy |
| Scope | A helpdesk bot answers from whatever you upload, unchecked | An agency agrees scope during the project | Ours is written on the Scope Card, up to 100 documents |
| Delivery | A helpdesk bot can turn on in a day but needs tuning | An agency usually takes weeks to hire and train | Ours has a fixed delivery time shown before you buy, with faster options |
| Escalation | A helpdesk bot often hands off a bare transcript | An agency build depends on what was agreed | Ours hands off with diagnostics already collected |
Questions about this product
Does AI Technical Support Agent fix issues on its own?
It resolves issues that match your approved documentation directly, such as a known fix for a common error. For anything unresolved, it collects diagnostics first, such as device details and error messages, then hands off with that information attached, so a person never starts from zero.
What does AI Technical Support Agent cost to run each month?
Roughly $50 to $250 a month in your own accounts for AI model usage and hosting, on top of your existing helpdesk plan. You pay these directly to each provider. Monthly maintenance is optional. We charge nothing extra per ticket.
How fast can AI Technical Support Agent go live?
The delivery time is fixed and shown on this page before you order, and express or rush delivery can bring the launch forward if you need it sooner. The clock starts once your documentation, helpdesk access and escalation rules are confirmed, so a complete intake keeps the build on schedule.
What diagnostics does it actually collect?
Whatever your troubleshooting process already asks for, such as device or software details, the exact error message, and the steps the customer already tried. It's built from your own documented process and ten real sample conversations, so it asks the same questions your team would ask.
Which helpdesks can it connect to for escalation?
Up to two systems with read and write access, most commonly a helpdesk such as Zendesk, Freshdesk, Intercom or Gorgias, plus your website chat widget. A third connected system is available as an add-on or through a Change Quote if your setup needs it.
Can I add more workflows or known-issue notes later?
Yes. Adding a new known-issue note or adjusting an existing troubleshooting step fits inside the monthly change hours that come with maintenance. A third connected system or more than six workflows is scoped and quoted separately as a Change Quote before that work starts.
What if it misdiagnoses an issue at launch?
You get two rounds of changes built into the build price, using the 10 sample conversations and 50 test scenarios it was checked against. After delivery you have five working days to flag anything that doesn't match the Scope Card, fixed as part of the original price.
Who owns the diagnostic data and conversation logs?
You do. Every transcript, diagnostic detail and resolution outcome belongs to your business, stored in your own connected helpdesk. There is no license fee for keeping that history after launch, only optional monthly maintenance if you want ongoing changes made for you.
Guides on this topic
All guides Stop escalations that start from zero.
Order AI Technical Support Agent and give every technical case a proper start: guided troubleshooting first, then a complete diagnostic handoff when a specialist is needed.
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