DAGL

Build a check once and deliver it to every client.

Copy a tested check into a separate workspace for each client. Show each client how it performs on their own cases. Then sell the monthly review that keeps it right.

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supplier_check · version 5 · copied to 4 clients
Client workspaceTheir casesMatch their answerRunsThis month
Client A5048 of 50Weekly$3.40
Client B3232 of 32Monthly$0.90
Client C7571 of 75Daily$12.10
Client D2020 of 20Weekly$1.20
example data

Turn one project into monthly work.

Copy a finished check to the next client.

Turn a tested check into a template. The next client starts from version 5.

Give each client its own data, budget and reviewers.

Each client has a separate workspace. Nothing crosses from one client to another.

Show each client it works on their own cases.

Each case shows whether it matches the answer the client expects.

Hand over without the support calls.

Client staff review answers in rows and columns, without code.

Charge every month for scheduled runs and a review.

Runs happen on a schedule. You sell the monthly review that keeps the check right.

Run on the client’s own servers when they need it.

Use the client’s own AI account as well, so nothing runs through yours.

Keep your automation tools.

Zapier, Make and n8n move the data. DAGL holds the judgement step, and they call it through the API.

New supplier form
DAGL check
Client's supplier list

The consultancy playbook.

Playbook How to turn one-off AI projects into monthly client work Read more → Guide How to reuse one AI check across ten clients Read more → Guide How to show a client that the AI does the job Read more → Guide How to keep each client’s data separate, and prove it Read more → Guide How to price AI work for small-business clients Read more → Guide How to hand over an AI check so the client’s team can run it Read more →

A platform fee, plus a fee for each active client.

See partner pricing →