What Formisse is for

Some forms are surveys you report on. Others are queues someone has to work through. Formisse is built for the second kind, and here is what that looks like in practice.

Urgent first

Support and enquiries

The problem

Forty submissions arrive overnight. Three of them are urgent. You find out which three by opening all forty. By the time you reach the one about a failed payment, it has been sitting there since 9pm.

With Formisse

Every submission is read as it arrives and given a one-line summary, a category and an urgency score. The list tells you what is in it before you open anything. The failed payment is at the top, and it got there without anyone sorting.

The Formisse submission list, showing a one-line AI summary, a category and an urgency score on every row.
The submission list, with the AI summary and urgency score on each row.
Signal, not noise

Contact forms and feedback

The problem

A public contact form collects bots, blank submissions, SEO pitches and, somewhere in there, real customers. Finding the real ones means reading the fake ones.

With Formisse

Spam and bot submissions are scored and separated into their own tab: visible if you want to check, out of the way if you do not. Nothing is deleted, because a wrong spam decision hides a real customer and you never find out. What is left in your inbox is the mail that was actually written by a person.

A single submission in Formisse with its AI verdict, spam score, urgency score, one-paragraph summary and suggested next step.
What Formisse works out about a single submission before you open it.
Summary ready

Applications and intake

The problem

Job applications, enrolment forms, quote requests. Every one is long, every one looks the same in the list, and half of them are missing something you need.

With Formisse

Each submission arrives with a short summary of what the person is asking for and what the form did not tell you. You decide which to review first without opening any of them, and you find out about the missing phone number now rather than three days later.

Form analysis in Formisse, breaking a single form down field by field with observations and recommendations.
Analysis across a single form's responses, field by field.
Automations

And when you want it to act

Analysis on its own just tells you things. Automations let you do something with it: send the urgent ones to a Slack channel, route requests by category to the right person, trigger a notification only when something crosses a threshold you set.

Formisse never sends replies to your respondents on your behalf. Sorting your attention is a job an AI can be trusted with. Answering your customers is not.

An automation in Formisse: conditions on AI spam score and sentiment on the left, actions such as assign, label, Slack and ClickUp on the right.
Rules that fire on what the analysis found.

It also works for

  • Sales enquiries

    Buying intent read on arrival, so the real opportunities do not queue behind the rest.

  • Bug reports

    The same issue reported five different ways, categorised and scored.

  • Event registrations

    Routine sign-ups collected quietly, special requests surfaced.

  • Orders and returns

    Separated by type so time-sensitive ones do not sit behind the rest.

  • Waitlists

    Bots filtered out, so the number means something.

  • Education and enrolment

    Incomplete forms flagged before they become chasing work.

  • Agencies

    Every client's forms in one panel instead of five different logins.

If your form is really a queue

Free plan, no credit card. Point one form at Formisse and see what the next submission looks like when it arrives already read.

Start for Free