DAGL

Check every supplier the same way, and see the working behind each answer.

How can a procurement team use AI to check every supplier?

Put one supplier on each row and write the check once, in plain words. DAGL asks the same question of every supplier, shows what each answer read, and counts where it agrees with your expert. On 412 suppliers the run cost about $0.84, and the cost showed before it started.

Try it on your dataSee the check →

“We check 400 supplier certificates by hand every quarter. Two of us lose a week, and we still miss the ones that lapse in between.”

Procurement lead, food manufacturer · [interview quote to come]

One supplier, from the first step to a checked answer.

Build the check on Northwind Foods, a case your team already knows. Then run the same steps on every supplier on your list.

  1. 1 · StartNorthwind Foods · one row from your supplier list
  2. 2 · FetchThe certificate PDF from the supplier folder
  3. 3 · ReadStandard: BRCGS food safety · Expires 31 March 2027
  4. 4 · Ask AIDoes it cover every site in our supplier policy?
  5. 5 · SendApproved suppliers go to the supplier list; the rest go to review
  6. ✦ AnswerApprove · valid, all sites covered
How your expert checks it46 of 50cases agree with your expert. Open the 4 that differ and fix the instructions.
What a run costs$0.84to run on 412 suppliers, shown before anything is sent.
Where the answers goYour listResults go back to the supplier system your team uses today.
example data

Before you try it.

We already use a procurement platform. Why add DAGL?

Keep it. Platforms such as Omnea or Coupa run requests, approvals and orders. DAGL runs the checks your own policy needs, such as which sites a certificate must cover, and sends the answers back to that platform.

How do we know the answers are right?

Run the check on 50 suppliers your team has already checked. DAGL counts where the two agree and shows the step that went wrong where they differ.

How the expert check works →

What about scanned certificates, or ones in another language?

Add a few of them to the cases you test on. Where the AI cannot read a certificate, the answer says so and the supplier goes to review.

What does a run cost?

In the example, 412 suppliers cost about $0.84. DAGL shows the cost of each run before anything is sent.

See the price table →

Questions procurement teams ask.

Worked example

How to check supplier certificates for expiry with AI, step by step

Put one supplier on each row, read each certificate the same way, and compare the answers with ten your team has already checked.

Read the worked example →
Guide

How to screen new suppliers against your onboarding criteria

Write each criterion as one question in plain words. DAGL answers each question for every applicant and keeps the evidence beside the answer.

Read the guide →
Worked example

How to rank 300 suppliers on criteria that are hard to score

Score each supplier on the same criteria, then sort by the score. Every score keeps the passages it was based on, so you can defend the order.

Read the worked example →
Guide

How to pull payment terms and renewal dates out of supplier contracts

Ask for each term as its own column. Dates and notice periods come back as values you can sort and filter.

Read the guide →
Guide

How to sort spend lines into categories with AI, and check the result

Give the AI your category list and a few examples. Then compare its categories with your analyst’s on a sample before you run every line.

Read the guide →
Template

Supplier certificate check

A ready check to copy into DAGL. Point it at your supplier list and your certificate folder.

Copy the template →

Questions every team asks before it relies on AI.

How do you know the answers are right?What does it cost to run AI on every row?Which tool should a team use to run AI on many records?

Bring your supplier check.

Start from the supplier certificate template, or bring the check your team does by hand today.

Copy the template →Try it on your data

Written by [Founder name], [role] · Updated 14 November 2026: added questions teams ask before they try it.