The time between “I need help” and “I got help” should be measured in hours, not weeks.
AI agents, built into your workflows, run the operational work behind every regulated decision. People get helped faster. Your team handles the decisions.
People need help.
A claim paid so they can fix the car. A loan approved so they can buy a home. A permit issued so they can open the shop. The big moments of a life sit behind a regulated decision.
Every one of those decisions is gated by intake: a form, a pile of documents, a queue, a review. And intake punishes the person submitting it. Requirements change after submission. Errors stay silent for weeks. A hundred days pass before “I need help” turns into “I got help.” Every day in that gap is paid in real cost: care delayed, savings drained, a file sitting in a queue.
The institution pays for the same gap. Rooms of skilled people retype fields, chase attachments, and cross-check systems by hand. Redundant, error-prone work that burns money, slows every case, and drives good people out of the job.
The form has not changed in 30 years. We are rebuilding it.
It is still a static page of fields, submitted blind and judged silently. The applicant guesses what the institution needs. The institution rejects, asks again, waits. Every problem in regulated intake traces back to it.
The form is the way in. Once an agent runs it, the same agent takes on the work behind it, and we absorb the operation workflow by workflow, until only the decisions are left.
It reads what the applicant submits.
Photos, scans, messy PDFs. The form pulls out the facts that matter and shows the applicant what it found.
It talks back.
When something is missing or unclear, the form asks for it in plain language, in context, the moment it is needed.
It verifies in real time.
Answers are checked against your existing systems as they arrive. Mismatches surface during intake, not three weeks later.
It cites its work.
Every value carries a source quote and page number. Reviewers can open the evidence behind any answer and challenge it.
It adapts to the applicant.
Conditional logic shows the right questions for the case. Nobody answers 50 fields they did not need to.
It stops being a wall.
The form becomes the agent. It does the operational work and hands the operator a complete, cited case. Then it takes on the next workflow.
Workflows, not another tool.
Most AI lands as one more tool: a chat window beside the real work, another screen to operate, another output to double-check. It adds cognitive load to the people it was supposed to relieve.
A Klarefi agent is not a tool your team operates. It is installed as the workflow itself. It runs the intake from submission to case file, and the redundant work simply stops arriving. Nobody prompts it. Nobody babysits it. Your team meets it only at the end, where a complete, cited case is waiting for a decision.
A tool adds work to your day. An agent takes the work out of it.
What changes when intake stops being a wall.
For the applicant
Real documents accepted on the first try. Plain-language follow-ups for whatever is missing. No silent rejections.
For the operator
Every case arrives verified, cited, and ready to decide. Time goes to judgment, not retyping and chasing.
For the institution
Lower cost per case, fewer manual errors, same-day decisions, and an audit trail that holds up under regulatory review.
For the world
Claims paid this week. Permits issued this week. Help that arrives in time.
Rebuild the form and you get inside the operation. The first company to run the operational layer of regulated work owns it.
Institutions buy Klarefi for the cost and the customer experience. People receive it as help that finally arrives in time.
That is the vision. We are building it now.
See it on your own documents.
Run the vision on your own intake, with accuracy and coverage numbers you can hold us to.
No credit card required