Frequently asked questions

Do I need an integration to start?

No. You can add reviews from the panel and validate the full response workflow with your own examples.

What should I configure first?

Start with business name, business type, tone and language. Then add guidelines and things the AI should avoid.

What is the minimum I need to test resenIA?

A basic response profile and a few real reviews are enough to validate whether the generated drafts fit your business.

Can I use resenIA with old reviews?

Yes. Historical reviews are useful for testing tone, building analysis context and identifying recurring customer themes.

What happens after I add a review manually?

The review appears in the inbox. From there you can generate a draft, edit it, approve it, mark it as published or ignore it.

Can I review everything before publishing?

Yes. AI replies are drafts. A person can edit, approve, ignore or mark them as published manually.

Does resenIA publish responses automatically?

No. The product is designed around human review. Generated replies should be checked before they are used publicly.

Why is a generated reply too generic?

Usually the AI lacks specific business context. Add concrete guidelines, examples, common situations and things to avoid.

What should I do with angry or risky reviews?

Review them manually, verify facts, avoid defensive claims and move sensitive resolution details to a private channel.

Can I force a shorter or more empathetic answer?

Yes. Use response style options for individual drafts and update the response profile if the same preference should apply every time.

When does AI analysis become useful?

Analysis needs enough reviews to detect patterns. Until then, resenIA shows the progress needed to unlock stronger insights.

How does adaptive learning work?

The system observes edits, approvals and feedback. Those signals become internal rules that shape future AI drafts.

What is the difference between settings and learning?

Settings are explicit rules you write. Learning is inferred from how users edit, approve and rate generated replies.

Can learning make mistakes?

It can infer weak patterns if the activity is inconsistent. Keep the profile updated and use feedback to correct bad tendencies.

How often should I review the analysis?

For active businesses, a weekly review is a good rhythm. Look for repeated topics, new risk signals and whether prior fixes are working.

Why can I not see a specific option?

The header only shows the flows active for your account. Reviews, assisted replies, analysis and learning appear when there is enough signal to use them.

What happens if I reach my monthly limit?

Generation actions can be blocked until the monthly limit resets. Existing reviews and drafts remain available.

Can public visitors read the help pages?

Yes. The knowledge base and FAQs are public so prospects and new users can understand the product before signing in.

Is resenIA a replacement for customer support?

No. It helps draft and analyze responses, but operational decisions, sensitive cases and final publishing remain human responsibilities.