HybridForms Trusted.AI can now pre-fill forms from free-form language as well. Alongside the familiar field-by-field entry, an AI assistant opens right in the form: the user describes the situation in natural language, spoken or typed, and sends that description to the assistant. The assistant then shows which fields it filled automatically and lists the required fields still missing. The user checks every value it entered, corrects it, and fills in what is missing. Only content a person has reviewed is transmitted, and where the procedure calls for a signature, that signature makes it legally binding. The AI behind it runs exclusively on the customer’s own servers, as part of the Trusted.AI edition of the HybridForms Server.<\/span><\/strong><\/p>\n<\/div><\/div><\/div>The technical term for this is Natural Language Mapping<\/strong>. The engine reads the text, spoken or typed live, and identifies which parts are names, times, places, or conditions, then enters them as structured data in the fields intended for them. Catalog values, conditions, and form sections are set at the same time. In testing, capturing data this way ran three to four times faster than field-by-field entry on the keyboard<\/strong>.<\/p>\n<\/div><\/div><\/div><\/div><\/div>What the Feature Offers<\/h2><\/div><\/div><\/div>- <\/i><\/span>
\n
Natural language input as a second route:<\/strong> keyboard entry carries on unchanged, and the two can be mixed within a single form item.<\/p>\n<\/div><\/li>- <\/i><\/span>
\n
Automatic assignment to individual form fields:<\/strong> several related details from one description, together with catalog values, conditions, and form sections.<\/p>\n<\/div><\/li>- <\/i><\/span>
\n
An overview from the AI assistant:<\/strong> which fields were filled, with which values, and which required fields are still open.<\/p>\n<\/div><\/li>- <\/i><\/span>
\n
Review by the user:<\/strong> each entry can be undone individually, or all of them confirmed with a single click.<\/p>\n<\/div><\/li>- <\/i><\/span>
\n
Operation with Trusted.AI:<\/strong> speech and text are processed on the customer’s own servers, with no external AI services.<\/p>\n<\/div><\/li><\/ul><\/div><\/div><\/div><\/div><\/div>How Input Works With Natural Language Mapping<\/h2><\/div><\/div><\/div>The form opens as before, and anyone who prefers to can still fill it in field by field. To use the AI assistant, the user opens it from the \u00bbAI Assistant\u00ab icon in the app’s bottom toolbar<\/strong>. Inside, the user decides whether to tell the story in natural language or type it<\/strong>, and can switch modes at any time. Once the input is finished, the assistant evaluates it right away and fills the fields automatically. Whatever is still missing is added in another round, spoken again, typed in the assistant, or entered straight into the field. This is not a dictation that runs start to finish, but an alternation between describing and answering \u2013 and which route to take is the user’s call every time.<\/p>\n<\/div>A pause function<\/strong> also lets the user narrate an entire inspection from start to finish: observations are recorded one after another, and at the end the fields come back filled and ready for review. That saves noticeable input time, especially on small devices such as a phone or a mini tablet.<\/p>\n<\/div>Four AI engines<\/strong> do the work behind the scenes, all of them integrated into HybridForms for this feature. The AI Streaming Engine<\/strong> turns speech into text, the AI Mapping Engine<\/strong> distributes the details across the fields, the AI Process Engine<\/strong> takes care of conditions, catalog values, and sections, and the AI Completion Engine<\/strong> reconciles, completes, and flags contradictions.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
<\/span><\/div><\/div>
The assistant opens from the \u00bbAI Assistant\u00ab icon in the app’s bottom toolbar. An example shows what a description can sound like, spoken or typed.<\/em><\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div>
After the input, ten fields are filled. Each entry can be undone individually, and the assistant points out the required fields still open.<\/em><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>Where the Feature Can Be Used<\/h2><\/div><\/div><\/div>Natural Language Mapping applies wherever data is typed field by field today, from an inspection record in the field to an e-government application in a citizen portal to nursing documentation at the bedside<\/strong>. The scenarios below are examples, not a complete list.<\/p>\n<\/div>In technical field service<\/strong>, a technician narrates while working: the hours worked, the repairs, and the materials used all come out of what they say, and catalog values such as \u00bbcover glass broken\u00ab are set at the same time. The maintenance report is done by the time they leave the site. At a police online reporting portal<\/strong>, people who have been affected use the ReachOut module to file a report without registering: they tell what happened, name any suspects, describe where it took place, and then submit the form. And in the clinic<\/strong>, what matters most is that no one has to type more than necessary. Pain, impaired vision, or an injured hand can turn an on-screen keyboard into an obstacle. Preexisting conditions and allergies can now be listed in natural language and captured by the AI assistant \u2013 on a tablet in protected kiosk mode for patients.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>