
AI Customer Support Agent
Resolves customer questions across chat and email using your knowledge base and hands off complex cases.
Your user community answers how-to questions from your docs, while bug reports, feature requests and buying signals reach the right team.
Your user community should help customers succeed, not pull engineers into answering questions the docs already cover. This agent runs your community on Slack, Discord or a forum. It answers how-to questions from your documentation, moderates against your guidelines, turns bug reports into helpdesk tickets, tags feature requests for product and tells account owners when someone asks about upgrading.

AI Community Manager for SaaS runs your product's user community on Slack, Discord or a forum. It answers how-to questions from your documentation, moderates against your guidelines, turns bug reports into helpdesk tickets, tags feature requests for product, and tells account owners when a trial user or customer asks about upgrading.
In SaaS, the community is where users decide whether your product is worth the effort. Slow answers frustrate trial users, bug reports vanish in threads, and buying signals posted in public never reach sales. This agent keeps answers fast and consistent, makes sure every bug reaches support, and turns upgrade questions into conversations for your account team. Product gets a cleaner view of what users ask for. The platform, connected systems and rules are written on the Scope Card before you order, so the build matches your stack.
The agent answers how-to questions from your documentation on Slack, Discord or a forum. Users get pointed to the right answer, and your team handles the harder questions.
When a user reports a bug, the agent turns it into a helpdesk ticket through the connected system. Engineers see it in their normal queue, not buried in a thread.
Feature requests are tagged for your product team as they appear. Product gets a clearer view of what users ask for, without reading every channel.
If a trial user or customer asks about upgrading, the agent tells the account owner. The owner picks up the conversation with the context already attached.
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: Note how many community threads go unanswered and how bug reports reach support today. Record any upgrade leads that came from the community recently.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is a one-time cost. Running it costs roughly $50 to $250 a month for AI model usage and hosting in your own accounts, on top of your CRM, helpdesk and community platform plans.
Build and test usage is billed to you as well, so user conversations stay in your own provider accounts.
Ask about running costsConnecting both a CRM and a helpdesk alongside the community, covering a second community platform, or a second language need a Change Quote. Note it at checkout for a written quote.
Request a custom versionMonthly maintenance for this edition covers monitoring, fixes, model and platform updates, a monthly health report and monthly hours for changes, such as loading docs for a new feature or adjusting buying-signal rules. It bills monthly and can be cancelled any month.
$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 | Community platforms bill per member or per month | A community agency bills a monthly retainer | Ours is one fixed price, shown before you buy |
| Bug reports | Stay in the thread | Copied over by hand, if noticed | Ours opens a helpdesk ticket and links the post |
| Buying signals | Invisible to sales | Depends on the brief | Ours passes them to the CRM account owner |
| Delivery | Depends on configuration | Weeks to ramp | Ours has a fixed delivery time shown before you buy, with faster options |
Yes, when Intercom, Zendesk or another helpdesk is one of the two connected systems. A post describing broken behavior is acknowledged in the thread and opened as a ticket with the post linked, so your support team can follow it up. Posts are not copied to the helpdesk unless they match your bug rules.
No. It answers only from your approved documentation, changelog and FAQs, up to 100 documents. If a question is not covered, it says so in the thread and tags your team, so a product expert can reply. Those gaps also show you where the docs need work.
With your CRM connected, it knows whether the poster is on a trial or a paid plan. When a trial user asks about a paid feature, or a customer asks about more seats, the post is passed to the account owner in your CRM. The agent never quotes prices or discounts itself.
It follows the outage rules you approve. Usually it posts or links your official status update, avoids guessing at causes or timelines, and points repeat reports to that update so your team is not flooded. Every post is still logged, and anything beyond the approved update goes to your community lead.
Standard, express and rush delivery times are shown in the delivery panel before you buy. The clock starts once your docs, community access and connected system are verified, due within 72 hours of ordering. Running costs of roughly $50 to $250 a month are paid directly to your AI and hosting providers, never through us.
The standard build allows two connected systems with read and write access, and the community space counts as one. So most teams pick either the CRM, for buying signals, or the helpdesk, for bug tickets. Adding the other needs the Additional CRM Integration or Additional Helpdesk Integration add-on, quoted before any work starts.
Order AI Community Manager for SaaS and how-to questions are answered from your docs, bug reports become helpdesk tickets, feature requests are tagged for product, and buying signals reach account owners.

Resolves customer questions across chat and email using your knowledge base and hands off complex cases.

Groups feedback from surveys, tickets and calls into clear themes.

Tracks feature adoption per account and triggers guidance where usage is low.