How AI assesses and prioritizes your inquiries

AI assesses each inquiry’s quality in the background to automate qualification and, depending on your settings, trigger quote generation.

Not all inquiries are equal. A precise inquiry with a firm date and a budget is more likely to convert than a vague message. Joinways automatically assesses the quality of every inquiry analyzed by AI — not to impose a verdict, but to power automation and help you focus your efforts where it counts.

This page explains in detail what the AI looks at in an inquiry, how that assessment flows in the background across Joinways, and how to use it to work through your Inquiries in the right order, without ever losing control of your priorities.

Prerequisites

Have a connected mailbox that feeds your Inquiries (incoming email analyzed by AI).
Have at least one venue configured with its capacity and type of service, so fit can be assessed.
Have AI inquiry analysis enabled so the fields (date, budget, PAX) get extracted.
For quote triggering, have your automation settings configured.

What you'll learn

Understand what the AI assesses in an inquiry
See how that assessment powers automation
Prioritize your inquiries effectively day to day
Know how to correct extracted fields to keep the assessment reliable

What the AI assesses in an inquiry

The AI reads the inquiry message, extracts its key elements, then weighs their quality. The goal is not to judge the person but to measure how workable the inquiry is: the more complete it is and the better it fits your offering, the more qualified it is considered.

In practice, the assessment relies on three families of signals described below. Here is how it unfolds:

The AI first spots the inquiry's precision: presence of a date, an attendee count and an event type.
It then evaluates intent: a stated budget or a clear willingness to book counts positively.
Finally it matches the inquiry against your venue: do the capacity and type of service fit what is asked.
It aggregates these signals into an internal quality assessment, kept in the background.

The inquiry's precision

A precise inquiry gives the AI something to work with. Three elements matter most: the date, the attendee count and the event type. The more these fields are filled in and clear, the more complete the inquiry is considered.

The AI looks for an event date: a firm date beats a fuzzy time frame.
It identifies the attendee count (Pax), which drives feasibility and sizing.
It detects the event type (wedding, seminar, birthday…), useful to frame the service.

Budget and intent

Beyond facts, the AI looks for intent signals. A mentioned budget, or wording showing the person genuinely wants to book, points to a mature inquiry that is more likely to convert.

An explicit budget (amount, range) is a strong sign of seriousness.
A clear intent ("I'd like to book", "can you send me a quote") strengthens quality.
Conversely, a vague message with no dated project stays workable but lower priority.

Fit with your venue

An inquiry that is perfect on paper but incompatible with your venue is not the most useful. So the AI matches the inquiry against your setup: hosting capacity and the type of service you offer.

Capacity: does the requested attendee count fit your venue.
Type of service: does what is requested match what you offer.
The stronger the fit, the more relevant the inquiry is judged for you.

Reference: the signals and notions assessed

For reference, here is each element the AI takes into account and what it means:

Date: the event date; a firm date is more qualifying than a vague time frame.
Attendees (Pax): the expected size of the event.
Event type: the nature of the event (wedding, seminar, etc.).
Budget: a stated amount or range, a signal of intent.
Intent: a clear willingness to book or to get a quote.
Capacity: compatibility of the attendee count with your venue.
Type of service: compatibility of the inquiry with your offering.
Extracted fields: date, budget and Pax shown on the inquiry, used by AI and automation.

How it works

The assessment happens with no action from you, at the moment the inquiry is analyzed:

An inquiry arrives in your Inquiries.
The AI analyzes it and extracts the fields (date, budget, PAX, type).
It weighs precision, intent and fit to estimate quality.
This assessment stays in the background: it does not appear as a score to sort by in your Inquiries.
Depending on your automation settings, the most qualified inquiries can trigger actions — for example quote generation.

You therefore keep control of your processing order: the assessment helps and automates, but does not decide for you.

Edge cases

A few situations are worth knowing to read the assessment correctly:

An off-topic or very short message may not be analyzed by the AI, and therefore not assessed.
A less complete inquiry is not disqualified: it can still turn into a booking with good follow-up.
If an extracted field is inaccurate, correct it: AI and automation rely on it.
Without an active automation setting, no action (such as a quote) triggers automatically, even for a highly qualified inquiry.

💡 Good to know: the assessment is a decision aid, not a verdict. A less complete inquiry can still turn into a booking.

Prioritize day to day

Since the assessment is not shown as a score, you prioritize from the extracted fields visible on each inquiry. Here is how to proceed:

Rely on the extracted fields (date, budget, PAX) to spot the most complete inquiries.
Reply quickly to high-potential inquiries: speed makes the difference.
Let automations handle the hottest inquiries (automatic quote, reminder task).
Then come back to the less complete inquiries to follow up on them.

Best practices

Correct inaccurate extractions: AI and automation rely on them.
Don't neglect less complete inquiries: good follow-up can make the difference.
Enable automatic quote generation to save time on the best-qualified inquiries.
Reply first thing in the morning to dated and budgeted inquiries to maximize your chances.

Troubleshooting

Problem: a qualified inquiry did not trigger an automatic quote.

Cause: no matching automation setting is enabled, or the required fields are not extracted.

Solution: check your automation settings and complete the missing fields on the inquiry.

Problem: an inquiry seems ignored by the AI.

Cause: the message is off-topic or very short, so it is not analyzed.

Solution: handle it manually; add the date, budget and attendee count if needed.

Problem: the extracted fields are wrong.

Cause: the message was ambiguous or poorly worded.

Solution: correct the fields; the assessment and automations will rely on the right values.

Real-world example

Monday morning, Yanis opens his Inquiries. Inquiries with a firm date and budget are the most complete: he replies before 10am with the AI email assistant. For the best-qualified ones, a quote has already been prepared automatically — he just reviews and sends it.

Within an hour he has handled the hottest inquiries and scheduled a follow-up for the vaguer messages, without letting anything slip.

Another example

Sarah receives an inquiry for 250 people while her venue hosts 120. The AI flags a low capacity fit: Sarah then offers her other space or redirects the client, rather than sending an unsuitable quote.

Conversely, a seminar inquiry for 40 people with a budget fits her offering perfectly: she handles it first.

FAQ

Can I see a numeric score per inquiry? The assessment powers automation behind the scenes; it is not shown as a sortable score in the inbox. You keep full control over your processing order.

Can an inquiry go unassessed? Yes: an off-topic or very short message may not be analyzed by the AI.

What is the assessment based on? On the inquiry's precision (date, guests, type), the presence of a budget or clear intent, and the fit with your venue.

Is a poorly qualified inquiry lost? No. A less complete inquiry can still turn into a booking with good follow-up.

How do I keep the assessment reliable? Correct inaccurate extracted fields: AI and automation rely on them.

Can the assessment generate a quote on its own? Yes, if your automation settings allow it: the best-qualified inquiries can trigger quote generation.

Does the assessment decide for me? No. It is a decision aid: you stay in charge of your processing order and your replies.