An AI agent for media and publishers
that handles subscriptions, not editorial decisions
A publisher's support inbox fills with the same subscriber questions. Why was I charged, why can't I access this article, how do I change my plan. We build an agent that answers from your actual billing and access rules, and resolves common access issues on its own. Anything that needs a real account or editorial decision goes to staff.
The same questions, over and over
A publisher’s support inbox fills with a narrow set of questions, asked by different subscribers every day. Why was I charged this amount. Why can’t I open this article. How do I switch from monthly to annual. None of these need an editor’s judgment. Each one still takes a support team’s time away from the account and access issues that actually need a person.
Timing makes it worse. Subscribers run into access issues at all hours, often right when they click through from a shared link or a search result. A support team working standard hours means a frustrated reader waits until the next business day for something that often has a simple, immediate fix.
Consistency suffers too. A subscriber asking about a refund or a plan change gets a different answer depending on which support agent responds. That is especially true where policy is not written down anywhere a new team member can check quickly. That creates a worse experience than the policy itself might actually justify.
There is also a seasonal spike tied to a paywall change, a pricing update, or a major story driving unusual traffic. Access and billing questions then arrive in a short window, far above the team’s normal capacity.
The agent we build for media and publishers
The agent answers subscription, billing and access questions from your actual plans and policies. It walks a subscriber through common access fixes: device limits, cache issues, expired sessions. It handles plan changes or cancellations according to your policy, and routes anything outside that policy to staff. New subscribers get an onboarding flow explaining their plan and benefits, so the first week of a subscription does not generate an avoidable ticket.
The agent has one hard rule in its playbook: it never makes an editorial judgment, and it never treats a complaint about coverage as something it can resolve. The moment a question moves from “why can’t I access this” to “this story was unfair” or “I want a correction,” it says so. It hands off to staff with the conversation attached, so nothing needs repeating.
Typical integrations: your site chat and email for subscriber support, and your subscription and billing platform’s API for account lookups. WhatsApp or Telegram work too, for publishers with an engaged, messaging-based readership.
Three to five weeks, step by step
- Audit of current support tickets. We read a sample of real subscriber questions and map which ones repeat.
- Playbook. FAQ content from your actual plans and policies, the access-fix flows, and the exact line the agent will not cross, reviewed with your team.
- Build and test. The agent is built against your real billing platform, tested on a sample of real tickets first.
- Launch with guards. A clear escalation rule for anything beyond account and access support, full logging of every handoff.
- Tuning. Two weeks of reviewing real conversations and adjusting the knowledge base.
What it costs
| Package | Price | What it covers | Timeline |
|---|---|---|---|
| Assistant | from $2,000 | One to two channels, billing and access FAQ, plan changes, hand-off | 3 to 5 weeks |
| Sales agent | from $4,000 | Multi-channel support plus win-back outreach for cancelling subscribers | 4 to 6 weeks |
| Agent team | from $10,000 | Support agent plus a monitor across several publications or brands | 6 to 10 weeks |
Running cost is separate and usually $20 to $200 a month in model usage depending on ticket volume, with a hard budget cap set before launch.
What usually moves after launch
Publishers that automate repeat billing and access support typically see support-inbox volume on these tickets fall by a meaningful share. Comparable media operations often report 30 to 50 percent. The agent answers from a fixed, accurate knowledge base, not from whoever happens to be on shift.
These are typical ranges reported across the vertical, not a promise for every publisher. Subscriber volume and plan complexity both move the number. Our own numbers sit in the case studies below. Our AI persona product serving a subscriber base in chat, with a 973-page SEO site behind it, is detailed in the AI persona SEO site case study. A visa consulting centre’s client-facing AI consultant is in the visa centre AI support case study. It uses a strict hand-off rule and an admin-editable knowledge base.
Why work with us
We build these agents the way we build them for ourselves. A closed set of tools. A hard rule the agent cannot cross, here, no editorial judgment, enforced in the playbook rather than hoped for. The price is fixed once we agree the plan. You get a working demo every week during the build, and the conversation logs and source code stay in your organization’s name.
If your real bottleneck is billing policies that exist only informally, we will say so. An agent answering from an inconsistent policy just automates the inconsistency faster. Writing that policy down clearly is usually worth doing before any agent goes live on top of it.
Pair this agent with analytics for media and publishers, so subscriber support data feeds the same picture your retention numbers come from. See the full package breakdown on the AI agents service page, or get a written plan with a fixed price for your organization.
FAQ
How much does an AI agent for a publisher cost?
Our Assistant package starts at $2,000. That covers one or two channels, billing and access FAQ, plan changes and hand-off to staff, live in 3 to 5 weeks. A lighter FAQ-only bot starts at $900.
Does the agent make editorial decisions or judge content?
No, and that boundary is written into the playbook before launch. It handles subscription, billing and access questions. Anything touching editorial judgment, a correction request, a complaint about coverage, is routed to staff, never answered by the agent.
How does it know our plans and access policies?
From your actual subscription plans, billing policies and access rules, which we build into the knowledge base. Your team can update it as plans change, without touching code.
Can it actually fix a paywall or login issue, not just explain it?
For common, well-defined issues, yes, with a guided fix flow. Device limits, cache problems, expired sessions. Anything that needs an account-level change on your backend is routed to staff with the issue already diagnosed.
Which channels does it run on?
Your site chat and email are the most common for subscriber support, with WhatsApp or Telegram as an option for publishers with an engaged messaging audience.
Can it support readers in more than one language?
Yes. Publishers with an international readership typically run the agent in two or three languages, answering in whichever language the subscriber uses.