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DMNexa

Understand missing fields, defaults, and AI warnings

Learn why DMNexa shows missing information, what a default value means, and how AI Brain rules create business-specific review warnings.

Short answer

Missing fields mean DMNexa did not find reliable required information. Defaults keep a draft editable but are not customer intent. Warnings point to a rule or possible conflict that the seller must evaluate.

DMNexa separates three kinds of review information.

Missing fields

A missing field means no reliable value was found for something the workflow checks. Common examples are customer name, due date, pickup or delivery, address, and price.

Resolve it by checking the conversation, asking the customer, or entering information you can verify. Do not fill it with a guess just to remove the warning.

Defaults

A default is a temporary value used so the order record remains usable. For example, a date may default to today when the source contains no usable date. DMNexa should label this condition visibly.

Treat a default as needs verification. It is not evidence that the customer chose that value.

AI Brain warnings

Your AI Brain contains seller-visible rules generated from onboarding and edited by you. A rule can ask the review to flag information important to your business, such as guest count, lead time, personalization, or an address for delivery.

A warning means “check this before you proceed,” not necessarily “the order is impossible.” You decide whether the issue is resolved, irrelevant, or requires a customer question.

If a warning is not useful

Open Settings → AI Brain and review the rule. Update or remove rules that do not reflect your real workflow. Then use the test area to see how the current setup evaluates a sample request.

Frequently asked questions

Why is Customer Name missing when Instagram shows a username?

A social username or profile label may not be a verified order name. DMNexa can leave the order name unset when it cannot map it reliably.

Does a warning block approval?

Warnings are review signals. Whether a field must be resolved depends on the order and your business requirements, but important gaps should not be ignored.

About this guide

This page is maintained from the current DMNexa product behavior. If your screen looks different, check for an app update or contact support.

AI & order drafts Review and edit an AI-created draft order

Check each review card, correct AI interpretations, resolve missing information, and decide whether to approve, re-analyze, or discard the draft.

AI Brain What is AI Brain in DMNexa?

Understand the business context, onboarding answers, review rules, custom instructions, strictness, and test area that guide AI order review.

AI & order drafts Improve AI draft order results

Give DMNexa clearer source text, maintain useful AI Brain rules, and review the details that language models most often misunderstand.

Still need help?

Talk to the DMNexa team.

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