Automate client intake

What manual intake looks like

Here is an example of a common manual process. An email or form arrives. Someone reads it and picks out the relevant details. They copy those details into a spreadsheet or client list, then create a task so someone remembers to follow up. Finding out where an inquiry stands means checking email, the spreadsheet, and the task board.

Each step is simple. Together they take time every week, depend on someone remembering, and are the first thing to slip on a busy week. If the same information is entered into two or three places, intake is usually worth a look.

What an intake automation does

The steps below are an illustrative example. A real version is adapted to your tools and the way your business handles inquiries.

1. Capture. The original message and its details are kept and stay attached to the record.
2. Organize. The submission is checked, details such as the contact, their need, and the tools they mention are pulled out, and a record is created where your team already works. Missing details are flagged.
3. Prepare. If it helps, an AI assistant drafts a reply using your approved service information.
4. Review. You read the draft, edit it, and decide whether to send it.

Depending on what you need, this draws on a few of our services: workflow automation to connect the steps, an AI assistant to classify inquiries and draft replies, and connected tools through APIs or MCP when the system needs to look something up in your documents.

What you get from a build

• A map of the current and proposed intake workflow.
• Connected steps with checks for missing information.
• Error notifications and a simple handoff guide.

We document the system and explain to your team how to use and maintain it.

How human review works

Nothing is sent without your approval. The automation moves and organizes information. A person makes the decisions: whether to take on the client, what to quote, and what the reply says. Errors and missing information go to someone on your team for review.

Access is limited to the agreed task. Permissions and any sensitive sources are agreed before anything is connected, and an NDA is available. Our team's background includes work on a healthcare platform that handled sensitive patient data under strict compliance requirements.

Limits to know about

• Automation works best when inquiries follow a repeatable pattern. Highly varied or sensitive inquiries may be better handled by hand, with only the record-keeping automated.
• It depends on your tools allowing connections. Some make this easier than others, and we check before anything is built.
• AI drafts can be wrong or miss context. That is why every draft goes to you first.
• Someone on your team needs to own the process after handoff. The handoff guide is written for that person.

Where to start

For most businesses, the first step is the AI Leverage Audit. Over two weeks we map how inquiries and other work move through your business, rank three AI opportunities, and write a detailed scope for one of them. Intake may or may not come out on top, and the ranking explains why. Your time commitment is about an hour.

The free AI readiness checklist asks whether a task follows repeatable steps and whether someone can review the output. Both questions matter for intake. Questions about pricing, data, and timing are answered on the FAQ page.