AI-native forms
Forms, reinvented
for the AI era
Share a conversational form link for a guided experience. Or collect answers invisibly from Slack threads. NativeForm turns conversations into clean structured responses.
What makes a form
“AI-native”?
Forms are a primitive of the web. But we still use them like it's 2015: links, boxes, rigid formats, and messy answers to clean up later.
AI changes that. It can extract structured data from natural conversations, whether through a guided chat link or directly in tools people already use, like Slack. No more forcing anyone to fill boxes perfectly.
Open a link, fill boxes
Reply in Slack or just chat within NativeForm
Design fields upfront
Describe what you need, AI builds it
Messy values to clean later
Clean, typed values by default
More fields = more drop-off
Follow-ups feel like conversation
Raw answers only
Structured data + raw context
Requests are clearer because the assistant asks the right questions.
Rémi
CEO of QR Code Facile & blogger
Already replacing
traditional forms.
Rémi replaced a classic website contact form with NativeForm for urgent "my site is down" requests. The assistant adapts to the user's technical level, asks the right follow-ups, and produces clearer, more actionable responses.
Describe the form you want.
NativeForm builds it.
"I need a support form for website outage reports."
What is the website URL?
Is it down for everyone, or just you?
What did you try to fix it?
Can you share any screenshots?
No drag & drop. No field hunting. Start with a sentence. You get a real form with sections, fields, options, and validations. You don't need to overthink which fields to ask for: NativeForm proposes them based on the goal.
Send a link.
They have a chat.
No more staring at empty fields. When someone opens your form, they're greeted by a friendly assistant who asks questions one at a time, like a real conversation. They just talk, the form fills itself.
- —No intimidating forms. Just one question at a time.
- —Natural language. They answer however they want.
Hi! What's your name?
Sarah Chen
Thanks, Sarah. What's the website URL that's experiencing the issue?
checkout.example.com
Is the site down for everyone, or just you?
Collect structured data
where people already talk.
AI makes it possible to turn almost any kind of input into structured data. NativeForm starts with Slack, but the direction is bigger: gather responses from the tools your team already uses, and get clean data back.
Web link
Conversational form on NativeForm
Embed
Drop it into your site with iframe
Slack
AvailableThreads → structured responses
More integrations
RequestRequest yours
Mention @NativeForm
Describe what you want to collect
It starts listening
👀 means it's watching the thread
People reply
No link, no friction
Structured
✓ confirms extraction
Dashboard
Filter, export, automate
Stop cleaning answers.
Start using them.
Having an AI layer between users and your system allows for better data. NativeForm normalizes every value for analytics and automation, extracting structured data from natural language while preserving the original text for full transparency.
Raw text preserved for context and audits.
Get signals,
not just answers.
Smart Fields are computed by AI after each response is submitted. Tell AI to add a lead score, detect urgency, or categorize requests. It figures out the rest.
Prompt: Is this a professional/work email? Output: yes or no
"john@acme-corp.com"
Prompt: Based on company size and budget, score this lead 1-100
"We're a 200-person company looking for an enterprise plan"
Prompt: Based on the issue and company context, is this urgent? Output: low, medium, high, critical
"Our checkout page is down. We're losing sales every minute."
Prompt: Categorize this request. Output exactly one of: bug, billing, feature, onboarding, other
"I can't figure out how to connect my Slack workspace"
Ask questions.
Get answers you can act on.
"What are the top 3 reasons people say the site is down?"
"Show me responses where urgency is high."
"What did people try before contacting us?"
"Group responses by category and show counts."
"Summarize this week's feedback in 5 bullets."
NativeForm or inSlack
Trigger workflows
in tools you already use.
Every form submission can trigger automations in Make, n8n, or Zapier. Never used these tools? No problem. Just describe what you want in plain English, and NativeForm builds the workflow for you. No technical knowledge required.
Just tell us what you need
“Send to Slack, then save to Google Sheets”
NativeForm response submitted+ 1000s more apps
Example automations
If you have a form,
you have a use case.
Website + customer-facing
Early access / waitlist
Auto-score leads by buying intent. If Lead score ≥ 80, add to HubSpot as priority. Route enterprise companies directly to sales.
↳ Lead score ≥ 80 → Add to CRM as hot lead
Contact / inbound
AI detects department and routes automatically. Sales inquiries go to #sales-leads, support to #support-queue, partnerships to the BD team.
↳ Department = Sales → Route to #sales-leads
Support / outage
Urgency is detected from context. Critical issues page on-call instantly. Low priority goes to the backlog for next sprint.
↳ Urgency = critical → Page on-call in Slack
Sales qualification
Extract budget, timeline, and company size. High-value prospects (budget > $10k) trigger immediate notification to VP of Sales.
↳ Budget > $10k → Notify VP of Sales
Booking request
Parse availability and preferences. VIP customers (lifetime value > $5k) get priority scheduling and personal follow-up.
↳ Customer tier = VIP → Priority queue + email
Refund request
Detect sentiment and refund reason. Negative sentiment triggers customer success outreach. Shipping issues auto-route to logistics.
↳ Reason = shipping → Route to logistics team
Product + growth
Feedback
Sentiment analysis runs on every response. Negative feedback alerts customer success. Positive feedback gets added to testimonials pipeline.
↳ Sentiment = negative → Alert CS team
Bug report
Auto-categorize by severity and area. Critical bugs create Linear issues immediately. Include reproduction steps extracted from conversation.
↳ Severity = critical → Create Linear issue
Feature request
Cluster by theme and detect demand. Requests from enterprise customers (ARR > $50k) get flagged for product review.
↳ Customer ARR > $50k → Flag for PM review
Research intake
Screen participants by fit score. High-fit candidates auto-schedule via Calendly. Low-fit get a polite decline email.
↳ Fit score ≥ 70 → Send Calendly invite
Churn / cancellation
Detect churn reason and sentiment. Price-sensitive churns trigger discount offer. Product issues go to PM for review.
↳ Reason = price → Send retention offer
NPS follow-up
Promoters (9-10) get referral program invite. Detractors (0-6) trigger immediate outreach from customer success.
↳ NPS ≤ 6 → Alert CS + schedule call
Ops + internal teams
IT access request
Auto-detect access level needed. Standard requests auto-approve. Admin access requires manager notification and approval flow.
↳ Access level = admin → Require manager approval
Procurement request
Extract vendor and budget. Requests over $5k route to finance for approval. Under $5k auto-approve with budget tracking.
↳ Amount > $5k → Route to finance approval
Incident report
Severity auto-detected from impact description. P1 incidents page on-call and create war room. P3+ logged for weekly review.
↳ Severity = P1 → Page on-call + create war room
PTO request
Parse dates and check team calendar. Requests during blackout periods flag for manager review. Otherwise auto-approve and update calendar.
↳ Blackout period = yes → Flag for review
Events + communities
RSVP
Track capacity and dietary needs. When capacity hits 90%, enable waitlist. Special dietary requests notify catering team.
↳ Has dietary restriction → Notify catering
Speaker submission
Score by topic relevance and speaker experience. Top 20% get fast-track review. Include auto-generated talk summary.
↳ Relevance score ≥ 85 → Fast-track review
Post-event feedback
Categorize by session and sentiment. Negative session feedback alerts speaker. Positive quotes added to marketing pipeline.
↳ Sentiment = negative → Alert session owner
Dietary constraints
Extract allergies with severity. Severe allergies (anaphylaxis risk) trigger special meal coordination and staff alert.
↳ Allergy severity = severe → Alert event staff
Your data, your way.
You collected the responses. Now what? Export to spreadsheets for your weekly report, integrate via API for real-time dashboards, or automate with webhooks when someone submits. Your data, your tools, your workflow.
Exports
CSV/Excel from the dashboard
API
Read responses with an API key
Webhooks
Get notified when responses come in
Connect via API
Your interface.
Our intelligence.
Connect any of your applications easily via API: a feedback widget, an internal tool, a mobile app, anything. Users see your interface, you send us the data, and our intelligence handles the rest. You can also fetch responses back to build dashboards or lists directly in your product.
Name and email come from your authentication. Users just type their message.
john.doe@example.com
John Doe
Please add an export feature on this view
Smart fields — computed by AI
Then trigger automations based on those fields
Your daily assistants,
now with form superpowers.
ChatGPT and Claude become full NativeForm clients. Build forms, update them, query your data.
"I need a form for customer refund requests. Ask for order number, reason, and whether they want store credit or a refund."
Creates the form with validation, smart fields for urgency detection, and a webhook to your support system.
"Add a field to capture receipt photos."
Adds file upload with image-only restriction.
"Compare refund reasons this month vs last month. Are we seeing more complaints about shipping?"
Shipping complaints up 34%. Most mention delayed delivery (12 responses) and damaged packaging (8 responses). Started after you switched carriers on March 3rd.
"Show me the 5 most frustrated customers this week."
Returns the responses with highest urgency scores, including contact info and full context.
Frequently asked questions
Is this a form builder or a chatbot?
Can I use it without Slack?
Do I lose the original answers?
Can I export or integrate with my stack?
Can I embed it on my site?
What happens when the assistant is unsure?
Can I control tone and behavior?
Does this replace Typeform/Google Forms?
Pricing?
Ready to try AI-native forms?
Request early access and tell us what you're building. If it's a fit, you'll get access fast.
Request early accessThis is also the demo. The early access form is built with NativeForm.