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 Customer Support Agent for Intercom
Intercom conversations resolved from your help center while the customer is still in the chat, with tagged handoffs to your team.
Customers who start an Intercom chat expect an answer while they are still on your site. This edition replies inside Intercom conversations from your help center articles and policies, reads the contact's details for context, and tags each conversation by topic and outcome. When a person is needed, it hands over to your team inbox with everything already captured.
- Answers in the chat while the customer is still there
- Every conversation tagged by topic and outcome
- Clean handoffs to your team inbox with full context
$6,900
20–30 working days
Optional maintenance $345/mo
What it is
AI Customer Support Agent for Intercom replies inside Intercom conversations using your help center articles and policies, reads the contact's details for context, tags each conversation with its topic and outcome, and hands over to your team inbox when needed. It acts only within your approval rules. Every reply stays on brand.
Why businesses buy it
Live chat only works if it feels live. When customers wait minutes for a reply, they leave the page, and many do not come back. Staffing chat around the clock is expensive, especially across time zones. This edition answers routine questions instantly from your own help center, tags every conversation so reporting stays clean, and passes real problems to your team without making customers repeat themselves. The scope names the inboxes, tags and handoff rules before you order, and it runs in your own Intercom workspace.
Problems this solves
The Intercom inbox fills with questions your help center already covers
The agent replies inside Intercom conversations using your help center articles and policies. It reads the contact's details for context, then answers or hands over to your team inbox.
Conversations are untagged so trends are hard to see
Each conversation is tagged with its topic and outcome as the agent works. Your Intercom reports can then show which questions arrive most and how they end.
Automated replies sound off-brand and put customers off
Replies follow the policies and tone set in up to 100 approved documents, inside your approval rules. Anything outside those rules goes to a teammate rather than a guessed answer.
A good fit if
Customers open the Intercom Messenger expecting a quick answer, and your team cannot reply in minutes during busy hours.
Your Intercom help center already covers the common questions, but customers ask in chat rather than searching it.
You tag conversations by topic and want that done reliably, so reporting on why customers get in touch is accurate.
An Intercom admin can issue an app access token and spend 30 minutes agreeing the field mapping.
Not the right fit if
You want replies suggested to your agents rather than sent to customers. See AI Support Copilot for Intercom.
You only need conversations assigned to the right teammate or team. See AI Ticket Routing for Intercom.
Your help center needs new articles before an agent can answer from it. See AI Support Knowledge Agent for Intercom.
You run a SaaS product and want Stripe billing questions answered too. See AI Customer Support Agent for SaaS.
How it works
- Your Intercom admin agrees the field mapping on a 30-minute call: which conversation data, contact attributes and tags it may read and update.
- Help center articles and policies become its knowledge, up to 100 documents, approved before anything goes live.
- When a customer writes in on the chosen channel, it replies in the same conversation, using the contact's attributes for context such as plan or company.
- Each conversation is tagged with its topic and outcome, and approved actions in your playbook run within up to six workflows.
- When a question is outside its confidence or your rules, the conversation goes to your team inbox with a note, so nobody asks the customer to repeat it.
- Fifty test scenarios from your real Intercom conversations are run on test records before launch.
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.
- An Intercom app access token.
- An Intercom admin for a 30-minute setup call.
- Your help center articles, FAQs and policies.
- Escalation rules and support hours: which team or teammate takes which topic.
- Ten real Intercom conversations showing how customers ask common questions.
- Your list of conversation tags, the approver for actions needing a person, and access to any second system.
- One decision-maker for approvals; tokens are never sent by email.
- 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, Intercom token tested, tag and attribute mapping agreed.
Weeks 1–2
Help center knowledge loaded; reply and tagging workflows built.
Week 3
Team inbox handoff and approved actions connected.
Weeks 3–4
50 Intercom conversation scenarios run on test records.
Week 4
Your review and two rounds of changes.
Go-live
Replying in Intercom, recorded handoff, 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
- The support agent replying inside your own Intercom workspace on one agreed channel
- Two-way Intercom connection with documented field mapping, plus up to one more system
- Topic and outcome tagging set up within up to six workflows and your approval rules
- Access granted through invites or keys you control, never by email
- Test report from 50 scenarios, plus an admin guide and recorded 60-minute handoff
- 30 days of post-launch support
Expected benefits and how to measure them
- Customers can get on-brand answers in the conversation they already started.
- Makes it easier to see which topics drive the most conversations.
- Your team inbox can carry fewer routine questions.
- Conversations closed by the agent
- Use the agent's outcome tag in Intercom reports to count conversations it closed each week.
- Team inbox volume
- Compare conversations assigned to your team inbox in Intercom for four weeks before launch and four weeks after.
- Conversation rating
- Compare Intercom conversation ratings for the month before launch with the month after, split by agent-closed and team-closed.
Before you start: Note current weekly conversation volume, team inbox load and average rating in Intercom before setup begins.
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 once. Running costs are roughly $50 to $250 a month in your own accounts for AI model usage and hosting, plus your existing Intercom subscription. Intercom seat or plan changes are not part of this build.
AI usage during the build and testing is billed to your accounts as well.
Ask about running costsCustom requirements
Custom Intercom objects, data outside the agreed mapping, a second channel or a third connected system need a written Change Quote. Add a note at checkout and expect the quote. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
After launch, monthly maintenance keeps the agent current as your help content changes. It covers monitoring, fixes, updates, a health report and change hours for things such as new help center articles, new tags or revised handoff rules. It starts after the post-launch support period, bills monthly and can be cancelled any month. Unused hours do not roll over.
$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 built-in chat AI bills per resolved conversation | A chat outsourcing firm bills per agent hour | Ours is one fixed price, shown on this page before you buy |
| Conversation tags | Tagging is often left to agents | Depends on agent discipline | Ours tags topic and outcome on every conversation |
| Handoff | May pass a bare transcript | An agency build depends on what was agreed | Ours hands over to your inbox with a summary note |
| Delivery | On in a day, then weeks of tuning | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Questions about this product
Does it reply inside the Intercom Messenger conversation?
Yes. It answers in the same Intercom conversation the customer opened, on the one channel chosen at intake. The customer sees the reply where they asked, and your team sees the whole exchange in Intercom, including the tags and any note added at handoff.
How does the Intercom agent use contact attributes?
It reads the attributes included in the field mapping, such as plan, company or signup date, to give the right answer for that customer. For example, a question about a feature can be answered differently for a customer on a plan that does not include it.
Which Intercom tags does it apply?
The tags you list at intake, typically one for the topic and one for the outcome, such as resolved, handed over or waiting on customer. Tags outside the mapping are not added. Over time those tags show which questions it resolves and which still need people.
What does AI Customer Support Agent for Intercom cost with faster delivery?
The build price, with the express and rush options, is shown in the price and delivery panels on this page, so the full figure is clear before you buy. Running costs of roughly $50 to $250 a month are billed to your own accounts, separate from your Intercom plan, and nothing runs through us.
What happens outside our support hours on Intercom?
It keeps answering what your approved knowledge covers. When a conversation needs a person outside your support hours, it tells the customer when the team will be back and leaves the conversation in your inbox with a summary note, ready for the first person on shift.
What Intercom access does our admin give?
An Intercom app access token, plus 30 minutes of an admin's time to agree which conversations, contacts, tags and help center articles are read and updated. The token is used only within that mapping and is never sent by email. Your workspace settings stay as they are.
Guides on this topic
All guides Answer in the chat while the customer is still there.
Order the AI Customer Support Agent for Intercom and answer customers while they are still in the chat. Tags and handoff rules are agreed in writing before you pay.
Works well with
Support Operations
AI Support Knowledge Agent
Finds gaps in your help center and drafts new articles from resolved tickets.
Support Operations
AI Support Copilot
Drafts replies and surfaces relevant articles for human agents inside the helpdesk.
Support Operations
AI Support Analytics
Reports on contact drivers, resolution times and deflection trends.