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.
Freshdesk tickets answered from your solution articles and canned responses, with ticket properties kept accurate as it works.
Your Freshdesk solution articles and canned responses already hold most of the answers your customers need, but agents still apply them one ticket at a time. This edition answers routine tickets from that content, checks each contact's history and keeps ticket status and properties accurate. Tickets it should not handle go to your team with a private note.

AI Customer Support Agent for Freshdesk connects to Freshdesk with an admin API key, answers routine tickets from your solution articles and canned responses, checks the contact's history, and updates ticket status and properties inside your playbook. Tickets it should not handle go to your team with a private note. You control every rule.
Freshdesk teams often grow headcount just to keep up with tickets that already have a written answer. That is costly, and customers still wait. This edition applies your solution articles and canned responses for you, keeps properties tidy for reporting, and leaves the complex conversations to your agents with notes attached. The scope names the ticket types, properties and escalation rules before you order, so you know exactly what it answers alone, and it runs in your own Freshdesk account through a key you control.
The agent answers routine Freshdesk tickets from your solution articles and canned responses. It checks the contact's history first, so replies fit the customer rather than reading like a template.
Inside your playbook, the agent updates ticket status and agreed properties as it resolves each one. The documented field mapping shows exactly what it is allowed to change.
Tickets the agent should not handle go to your team with a private note explaining what it found. Agents start from the contact history and the question, not from scratch.
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 | $6,900 |
| Express | 15–25 working days | $7,950 |
| Rush | 10–20 working days | $8,950 |
Before you start: Export a month of Freshdesk ticket volume, resolution time and SLA breaches by ticket type before the build begins.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build price is paid once. Afterwards, roughly $50 to $250 a month for AI model usage and hosting is billed in your own accounts, in addition to your Freshdesk subscription. Any extra Freshdesk agent seats or plan changes are outside this build.
Build and testing usage is billed to your accounts the same way.
Ask about running costsCustom ticket fields beyond the agreed mapping, a second channel, a third system or a second Freshdesk portal need a Change Quote. Add a note at checkout to get it in writing. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionAfter 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 solution articles, updated canned responses or revised escalation 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 works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A bot add-on is billed by sessions or resolutions | An outsourced desk bills monthly per agent | Ours is one fixed price, shown on this page before you buy |
| Knowledge used | May pull from anything it can crawl | Depends on how agents were briefed | Ours answers only from approved solution articles |
| Ticket properties | Often left for agents to tidy | An agency build depends on what was agreed | Ours sets status, priority and type as it works |
| Delivery | Quick to switch on, slow to tune | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
Yes. Its knowledge is the solution articles, FAQs and policies you approve, up to 100 documents. If a ticket asks something those do not cover, it does not guess; it passes the ticket to your team with a private note explaining what was asked.
Yes. Canned responses included in the field mapping can be used when a ticket matches, so customers get the wording your team already approved. Canned responses outside the mapping are not used, and you can keep editing them in Freshdesk as usual.
Only those agreed in the mapping, usually status, priority and type, plus a reply and a private note. Custom fields can be included if listed at intake. Every change follows your playbook, and anything outside it is left for an agent.
The build price, with the express and rush options, is shown in the price and delivery panels on this page, so you know the full figure before you buy. Running costs of roughly $50 to $250 a month are paid in your own accounts, on top of your Freshdesk plan, and we charge nothing per ticket.
An API key with the admin role and a Freshdesk admin for a 30-minute setup call. The key is used only for the tickets, contacts, canned responses and solution articles in the agreed mapping, and it is never shared by email.
Yes. Updating or replacing articles within the 100-document limit fits inside the monthly change hours that come with maintenance. Going beyond that limit is handled by the Knowledge Base Expansion add-on, priced before any work starts, either bought with the build or added later through a Change Quote.
Order the AI Customer Support Agent for Freshdesk and turn your solution articles into answered tickets. Ticket types and escalation rules are agreed in writing first.

Finds gaps in your help center and drafts new articles from resolved tickets.

Tags incoming tickets by topic, product, urgency and sentiment.

Scores conversations against your quality rubric and highlights coaching points.