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Launch Plan
Knowledge Base Maintenance
[YourCompany.com] · Customer Support Department · Prepared by FullSpec · [Today's Date]
This Launch Plan gives you a clear picture of what is being built, how the build unfolds, what FullSpec needs from you, and what your role looks like once the automation is live. It is written for the process owner, not a technical audience. FullSpec handles every part of the build, configuration, testing, and deployment. Your involvement is limited to granting tool access, confirming one configuration decision before the build starts, and approving drafts during the ongoing live process.
01What you're launching
Your support team currently spends around five hours every week manually pulling ticket exports, identifying which help articles are out of date, drafting revisions, chasing approvals, and publishing changes to the help centre. Nothing flags a stale article automatically, there is no shared queue for content tasks, and drafts sit in Google Docs with no structured routing. This automation monitors your helpdesk continuously, clusters recurring tickets by topic, scores related knowledge base articles for staleness, generates a revision draft in Google Docs, routes it to the right reviewer via Notion and Slack, and publishes the approved content to Intercom automatically. The only two steps that stay with a person are the draft review and the approval click.
Process
Knowledge Base Maintenance
Trigger
Five or more support tickets share a common topic within a rolling seven-day window, detected by a daily scheduled poll of Zendesk and Intercom
Final output
An updated help centre article published in Intercom, a completed audit row in Notion, and a Slack confirmation sent to the support channel
Agents being built
3 agents: Ticket Trend Analyst, Article Draft Writer, Publish and Audit Agent
Tools involved
Zendesk, Intercom, Google Docs, Notion, Slack
Volume
Approximately 30 to 50 article reviews per month, ongoing
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02How the build works
FullSpec builds and tests the entire automation in four stages: Connect, Build, Test, and Launch. Each stage has a defined set of actions for the FullSpec team and a small number of actions for you. The stages run sequentially and the total delivery window assumes you have granted tool access before or during the Connect stage. You do not need any technical knowledge to participate. Your input at each stage is straightforward and typically takes less than thirty minutes of your time.
Complexity level: Moderate. Estimated delivery window: 15 to 20 business days. The delivery clock starts at the close of Connect, not payment. Delays in granting API credentials or confirming the ticket threshold configuration will extend the timeline by the same number of days lost.
1Connect
Business days 1 to 3
FullSpec
Share the credential request list with you; confirm the ticket volume threshold that triggers a review; map your existing Intercom article structure; open the project workspace and share access.
You
Grant API access for Zendesk, Intercom, Google Docs, Notion, and Slack; confirm the ticket threshold you want to use (default is five tickets on the same topic within seven days); identify the support manager who will approve drafts.
2Build
Business days 4 to 14
FullSpec
Build all three agents in sequence: Ticket Trend Analyst (scheduled polling, topic clustering, article scoring), Article Draft Writer (Google Doc generation, Notion task creation), and Publish and Audit Agent (approval detection, Intercom publish, Notion and Slack update). Test each agent against historical ticket data before moving to the next.
You
Review five sample draft outputs from the Article Draft Writer and give brief feedback on tone and structure. No technical input required, just a quick read and a thumbs up or a note on what to adjust.
3Test
Business days 15 to 18
FullSpec
Run the full end-to-end pipeline in a staging environment with live data; confirm publish permissions are scoped to update-only (no create or delete); test approval detection across multiple reviewer actions; document all results and share the test report with you.
You
Approve one test article through the real Google Docs approval flow so FullSpec can confirm the detection triggers correctly for your account. This takes around five minutes.
4Launch
Business days 19 to 20
FullSpec
Switch the automation to production; confirm the daily poll is running; hand off the process runbook to the support manager; set up monitoring and alerting so FullSpec is notified of any errors before you are.
You
Confirm the first live Slack review alert looks correct; share the runbook with your support manager; mark the process as active in your internal records.
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03What FullSpec needs from you
FullSpec only needs access to your existing tools. No technical knowledge is required on your side. All credentials are handled securely and access is scoped to the minimum permissions needed for each agent. The table below lists exactly what is needed for each tool and when you need to provide it.
Zendesk
An API token scoped to read-only access on tickets and views
Before Connect closes
Intercom
An admin-level API key with permission to read and update existing articles (no create or delete access required beyond what is granted)
Before Connect closes
Google Docs
A service account or OAuth connection with permission to create and edit documents in a designated support review folder
Before Connect closes
Notion
An integration token connected to the knowledge base tracker database with read and write access
Before Connect closes
Slack
A Slack app or bot token with permission to post messages to the support manager channel
Before Connect closes
The one configuration decision you must confirm before Connect closes: the ticket volume threshold that triggers the automation. The default is five tickets on the same topic within a rolling seven-day window. If your team handles lower or higher volumes, this number must be agreed before the build starts, because it is baked into the Ticket Trend Analyst logic and changing it later requires a rebuild of the clustering model.
04Your role once live
Once the automation is live, your team's day-to-day involvement in knowledge base maintenance shrinks dramatically. The table below sets out what you are still responsible for and what you no longer need to touch.
Role
Ongoing responsibilities
What you no longer touch
You (business owner / support manager)
Review AI-generated drafts in Google Docs before they are published. Approve or leave revision comments. Adjust the ticket threshold if your volume changes significantly. Escalate any agent errors flagged by FullSpec monitoring.
Pulling ticket exports manually, cross-referencing articles, updating the Notion tracker, assigning reviewers via Slack, drafting article revisions, notifying anyone that a draft is ready, manually publishing to Intercom, or marking records complete.
FullSpec
Monitor the automation for errors and notify you before issues affect your workflow. Apply updates if any connected tool changes its API or auth requirements. Adjust agent logic if draft quality drops below the agreed standard. Provide support at support@gofullspec.com.
Not applicable. FullSpec is responsible for the full build and ongoing technical operation of the automation.
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05What success looks like
The table below describes what you should expect to see at each stage after go-live, and what signals confirm the automation is working as designed.
Timeframe
What to expect
Sign of success
Week 1
The first real Slack review alerts appear in the support manager channel. One or two Google Doc drafts are generated from live ticket clusters. The Notion tracker begins populating with new rows automatically.
A Slack alert arrives without anyone manually triggering it, a Google Doc draft is waiting for review, and the Notion row is already filled in.
Month 1
Between seven and twelve article reviews are processed through the full pipeline. The support manager's time on KB tasks drops noticeably. Draft quality is consistent enough that most approvals take under ten minutes of review.
Fewer than one hour per week is spent by the team on KB maintenance, compared to the previous five hours. At least one published article can be traced back to a ticket cluster the manager would not have spotted manually.
Month 3
The Notion audit log shows a running record of every article update with ticket count, reviewer, and publish date. Repeated ticket clusters on the same topic are visibly fewer. The knowledge base is materially more accurate than it was before the automation launched.
The team is saving approximately 60 hours per quarter against the pre-automation baseline. The support manager is spending less than one hour per week on KB tasks. The Notion tracker requires no manual updates.
Next step: To get started, reply to your FullSpec onboarding email confirming you are ready to proceed and that you have noted the tool access requirements above. FullSpec will send you a short credential collection form and book the Connect call within one business day. If you have any questions before then, reach out at support@gofullspec.com.
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