CRM
Kliv is an AI app builder. Describe your incident management and reporting system: phone reports, photos, severity rules, witness privacy, corrective actions with owners and due dates, reminders, and site dashboards.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t an EHS suite you have to adapt to. It’s an AI app builder that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the forms, records, routing rules, screens, permissions, reminders, and dashboards. What you get is a real application that’s yours. You can run it on your own accounts and change it later by asking. It isn’t a template.
On this page, that app is an incident system for reports, severity routing, corrective actions, and trend review. Kliv builds all kinds of web apps; this is one operations and safety example.
Incident reporting has to fit the operation. A grain-handling company with two elevators, a feed mill, and seasonal workers has local rules: what counts as reportable around grain dust, who reviews bin-entry events, and when a manager gets called at night.
Kliv builds the system from those rules. Reports can be filed from phones, photos attach to the record, severity routes the case, and corrective actions keep moving until verified.
Each record carries the rule that keeps it useful.
Who, where, what, and when can be filed from a phone with photos attached to the record instead of left in a camera roll.
Your categories and routing rules are encoded. A housekeeping issue can go to the site lead; bin entry or lockout can alert the safety manager and mill manager.
Each action has an owner, due date, and verification step. An unverified fix can keep the incident open.
Statements attach to the incident but can open only for the safety team or other roles you name.
Every incident becomes queryable history: counts by site, type, shift, and status for quarterly review.
Here’s how one safety team might use an incident system built with Kliv. It’s only an example — you would describe your own sites, severity ladder, routing, and corrective-action rules.
At 06:12, a loader clips a rack in the dim end of bay two. The operator files two photos and a short description from a phone before coffee.
The system classifies it as a property-only near-miss. Ruth and the site lead see it at shift start instead of waiting for the weekly meeting.
Lighting in bay two becomes a corrective action assigned to the maintenance chief, due Friday, and visible in his queue.
Friday arrives and the work is not done. The reminder sends itself, and the action stays red on the register.
After new fixtures go in, Ruth signs the verification step. Only then does the incident close as fixed and checked.
The dashboard shows near-miss reports up and injuries down. The review uses the register instead of rebuilding a spreadsheet.
Kliv builds from your description, so include who reports, what severity means, who sees what, and how actions close. Here are three examples:
Two elevators, a feed mill, and harvest surges.
“Build an incident reporting system for our two grain elevators and feed mill. Staff should file reports from phones with photos, severity should route by our grain-dust, bin-entry, lockout, injury, and property-damage rules, and corrective actions should track owner, due date, reminders, and verification.”
Drivers reporting from the road.
“Build an incident system for our 45-vehicle delivery fleet. Drivers should file vehicle, cargo, and delivery-site incidents from the road with photos, repeat locations should surface on a monthly report, and managers should verify corrective actions before closure.”
Anonymous option and committee review.
“Build an event-reporting tool for our manufacturing facility. Staff can file safety events anonymously or named, the review committee works a shared queue, witness statements are safety-team-only, and monthly summaries email automatically.”
Routing is code you described. Severity rules run on the server: classify, notify, assign. A bin-entry incident at night can email the mill manager because you said it should.
Reminders run on a schedule. A daily job can sweep open actions, nudge owners near due dates, and make overdue actions louder in the Friday summary.
Privacy rules can be tested. A scenario test can sign in as a line operator and try to read a witness statement, then produce a receipt showing the read was refused.
The same app can also hold inspection checklists, toolbox-talk sign-offs, and contractor induction records. Safety tools often arrive in clusters, and internal tools shows the wider pattern.
Kliv is an AI app builder. You describe the incident system you need, and it builds the forms, records, routing, reminders, permissions, and dashboards.
A real app. Your severity ladder, sites, roles, action rules, and reports are built around your operation.
Yes. You can change classifications, add a site, adjust routing, or add new corrective-action steps by asking.
Optionally, yes. The record can omit the reporter while still counting in the register and routing by severity.
Roles and sites can decide it. Site leads can see their site, safety can see everything, and witness statements can open only to the roles you name.
Actions are records with owners, due dates, reminders, and verification steps. An unverified action can keep the incident open.
Yes. You describe your severity levels, categories, and routing rules, and Kliv builds them into the app.
Yes. The reporting form can work in a phone browser, including photo attachments.
Yes. Because reports and actions are structured records, the dashboard can show trends by site, shift, type, severity, and status.
Yes. You can describe who should be notified and when, using your templates and integrations.
Yes. The code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
No. The app is its own admin for forms, severity rules, categories, roles, and dashboards.
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Describe your sites, severity ladder, privacy rules, routing, reminders, and verification steps in detail. Kliv builds the incident system around them.