A client sends a message on Slack: “Hey, quick one — can you update the headline on the homepage? Nothing major.” You react with 👍. Two weeks later, they email asking why it hasn’t been done.
You didn’t forget. You just had nowhere to put it.
This is the core problem with managing client requests through chat and email: those tools are designed for conversation, not for tracking work. Every request that arrives as a message starts a quiet countdown until it disappears into the scroll.
The fix isn’t a better memory or a stricter process. It’s a lightweight intake system that turns every request into a trackable record the moment it arrives — with a status, an owner, and visibility for everyone on the team.
Here’s how to build one in AITable.ai using Form View, Grid View, and automation.
Why Requests Get Lost
Client requests don’t arrive in one place. They come through email, Slack, voice notes, end-of-call comments, and the occasional text message. Each one lands in a different context, with no shared status, no assigned owner, and no deadline unless someone manually sets one.
The team tracks them mentally — which works until it doesn’t. One busy week, one new project kicking off, and something slips. The client notices before you do.
The root problem isn’t attention. It’s structure. A request that lives inside a chat message is invisible to anyone who wasn’t in that thread. It has no status, no owner, no due date. It’s not a work item — it’s just text.
The fix is simple: every request needs to become a record. A row in a table, with fields that make it trackable.
Step 1: Build the Request Form
The intake point is where the system starts. In AITable.ai, create a new base with the following fields:
- Request Title — short summary of what’s being asked
- Client Name — Single Select or text field
- Description — long text for details, links, context
- Category — Single Select: Design / Copy / Dev / Other
- Priority — Single Select: Low / Normal / High / Urgent
- Source — Single Select: Email / Slack / Meeting / Other
- Date Received — Date field (auto-filled on submission)
- Assigned To — Member field
- Client Email — Email field (used for automated confirmation)
Once the table is set up, create a Form View. This generates a shareable link your team can use to log any incoming request in under a minute — or you can send it directly to clients if you want them to submit requests themselves.
Why Form View beats a shared inbox: every submission creates a structured row with consistent fields. No parsing, no reformatting, no “I’ll add it to the sheet later” that never happens. The request exists as a proper record the moment someone fills out the form.
Step 2: Set Up the Request Backlog
The Grid View is your master backlog. Every request, every client, every status — one table.
Add a Status field (Single Select: New / In Progress / Waiting on Client / Done) if you haven’t already. This is the field that tells you, at a glance, where everything stands.
A few views worth creating on top of the master grid:
- My Requests: filter where Assigned To = current user. Each team member sees only their own work without the noise of the full backlog.
- Active Requests: filter where Status = New or In Progress, sorted by Priority then Date Received. This is the daily working view.
- Waiting on Client: filter where Status = Waiting on Client. Review this weekly — these are requests stalled on the client’s side that need a nudge.
The result: anyone on the team can open AITable.ai and immediately understand what’s happening — what’s new, what’s in progress, what’s stuck, and who owns what.
Step 3: Automate the Hand-off
The manual step that kills most request systems: someone logs the request, and then nothing happens until someone else notices it’s there.
Fix this with two automation rules in AITable.ai — both available natively, no third-party integrations required.
Rule 1 — Notify the assignee: When a new record is created → send an in-app notification to the assigned team member. The moment a request lands, the right person knows.
Rule 2 — Send a confirmation email to the client: When a new record is created → use AITable.ai’s native Send Email action to automatically send a confirmation to the client’s email address. The email can include the request title and a message like “We’ve received your request and will follow up within 24 hours” — all pulled from the record fields using variables.
Setting these up takes about ten minutes in the Automations panel. For the email action, use the / variable syntax to insert field values — Client Name, Request Title — directly into the email body.
What this replaces: the PM manually scanning new submissions, pinging people in Slack, and composing individual confirmation emails. The system handles all of it.

The Full System in Practice
Here’s what the day-to-day workflow looks like once the system is running:
A client emails asking for a change to their onboarding flow. A team member opens the AITable.ai form, logs it in 30 seconds including the client’s email address. Two things happen automatically: the assigned developer gets an in-app notification, and the client receives a confirmation email.
When the client follows up asking for an update, the answer is immediate — open AITable.ai, find the record, check the status.
The weekly review takes ten minutes: scan the Active Requests view for anything stuck, check Waiting on Client for items that need a follow-up, and confirm nothing has been sitting in New status for more than a day or two without being assigned.
One source of truth. Everyone on the team sees the same picture.
Conclusion
Your inbox will always be where client requests arrive first. That’s fine. The problem is letting them stay there.
AITable.ai’s Form View gives you a structured intake point that turns any incoming request into a proper record. The Grid View gives your team full visibility across all requests. The built-in automation handles both the internal hand-off and the client-facing confirmation — no extra tools needed.
Nothing about this system asks clients to change how they communicate. It works on your side, quietly, in the background.
Start with the form. Build it today, share it with your team, and log every new request through that single channel for one week. By the end of the week, you’ll have a backlog you can actually work from.






