Healthcare · Finance · Pharma compliance
AI workflows that pre-fill regulatory forms during the resolution, not after it
The regulatory form is rarely the hard part. The hard part is that in banking, pharma, and healthcare it lives inside a system of record with no API, and the data it needs is already on the screen the rep used to resolve the case. So the work becomes re-keying: slow, error-prone, and a compliance liability. This page is about removing that step.
Direct answer · verified 2026-06-20
Yes, an AI agent can pre-fill a regulatory form from a support case. An agent that watched the rep resolve the case once can read the resolution screens through operating-system accessibility APIs and pre-fill the form field by field, with a per-field audit trail, even when that form sits in a legacy desktop app with no API. The human still reviews and submits. The deadlines this serves are real: a Reg E dispute (12 CFR 1005.11), an FDA Form 3500A (21 CFR 314.80), a CMS grievance log.
What “during resolution” actually means
Most automation for regulatory paperwork is a separate, later step. A rep closes a case in one system; hours or days later, a compliance analyst opens a second system and types the same facts into the form that goes to the regulator. The data is identical. The work is done twice.
The shift here is to treat the form as a byproduct of the resolution. The agent does not read a PDF or call an API. It reads the same screens the rep just used, while they are still open, and produces the regulatory draft in place. The inputs are the resolution screens; the output is the filed-ready form.
The resolution screens are the input
The uncopyable part: it reads named fields, not pixels
When Mediar watches a workflow once, the desktop agent serializes each screen into a simplified copy of the accessibility tree that the operating system already exposes for screen readers. In the Mediar codebase the recorder writes every node in the format LineNumber. RomanNumeralIndentation. [Role] ‘Name’ {Attributes}. That single design choice is why the pre-fill is deterministic: the disputed amount is not a rectangle of pixels at coordinate (412, 230), it is an [Edit] ‘Disputed Amount’ node with a value attribute. When the bank reskins the screen and that field moves, the node is still named “Disputed Amount” and the workflow keeps working.
A pixel-matching or selector-based tool sees none of this structure. It sees an image, or a brittle coordinate, and it breaks the first time a label shifts or a font renders differently. Reading the accessibility tree is also what makes the audit artifact honest: every value the agent pre-fills traces back to the exact named node it was copied from. That provenance, not the typing speed, is what a compliance reviewer cares about.
The five steps, with the human kept in the loop
The agent never files on its own. It pre-fills and traces; a person reviews and submits. Here is the full round trip for a single case.
From support resolution to filed-ready regulatory form
The same mechanic, three regulated verticals
The form changes, the deadline changes, the legacy system changes. The read layer does not. Each of these forms is one a support interaction generates, and each one usually lives behind no API.
Finance: Reg E error resolution
A cardholder calls to dispute a debit. The rep opens the dispute in the Jack Henry, Fiserv, or FIS core. Mediar reads the disputed amount, posting date, and reason code off that screen and pre-fills the error-resolution record plus the provisional-credit entry. Regulation E (12 CFR 1005.11) gives the bank 10 business days to investigate or post provisional credit and take up to 45 days; the clock starts at the call, not at re-keying.
Pharma: FDA Form 3500A
A medical-information or customer-service line takes a call where a patient mentions a side effect. Mediar pulls the product, lot, and event details from the case screen into the safety intake and drafts Form FDA 3500A. Serious and unexpected adverse drug experiences must reach FDA within 15 calendar days under 21 CFR 314.80, so the intake cannot wait for a nightly batch.
Healthcare: CMS grievance log
A health-plan member files a grievance during a member-services call. Mediar reads the resolution notes in the Epic, Cerner, or claims screen and pre-fills the grievance record CMS requires plans to resolve within 30 calendar days. The same accessibility-tree read works on a green-screen the payer has run since the 1990s.
“Claims intake at one mid-market carrier went from 30 minutes per claim to 2 minutes. That is the AP-team's own headcount math, not a press-release number.”
Mediar deployment, insurance claims intake
The savings in regulatory pre-fill come from the same place: the minutes a person spends re-keying facts that are already on a screen, multiplied by the volume of cases. If a workflow takes more than five minutes and happens more than a hundred times a week, the math usually works. The compliance benefit is separate and arguably larger: fewer transcription errors on a form that goes to a regulator, and a per-field trail when an examiner asks where a number came from.
Where this is the wrong tool
Browser-based AI agents are good at new SaaS apps with clean APIs. If your regulatory form is a modern web form with an API behind it, a browser agent or a direct integration is simpler than an accessibility-API agent, and you should use it. The accessibility-tree approach earns its keep specifically on the legacy desktop layer: where the form lives in SAP GUI, an Oracle safety database, a Jack Henry or Fiserv core, Epic, Cerner, or a mainframe emulator, and where there is no API to call. That is the gap the existing playbooks online skip, because they assume the form is reachable. Often it is not.
Bring one regulatory form, we will pre-fill it from your screens
Show us the system of record and the form it feeds. On the call we map the fields and scope a workflow you can run in days.
Frequently asked questions
Can AI really pre-fill a regulatory form from a support case?
Yes. An agent that watched the rep resolve the case once can read the resolution screens through OS-level accessibility APIs and map named fields into the regulatory form. The disputed amount, the lot number, or the grievance reason is captured as a named element, so the pre-fill is a deterministic field-to-field copy with a per-field source trace, not OCR guessing over a screenshot. The form is still reviewed and submitted by a human.
What if the regulatory form has no API?
That is the common case in banking cores, pharmacovigilance safety databases, and EHRs, and it is the whole reason this approach exists. Mediar drives the form the same way a person does, through the accessibility tree that the operating system already exposes for screen readers. No vendor API, no DOM, no integration project. A 30-year-old green-screen and a modern WPF app both expose elements with a role, a name, and attributes.
How is this different from a generic AI form-filler?
Generic tools assume a clean PDF or a web form with selectable fields. Regulatory forms in healthcare, finance, and pharma usually live inside a system of record with cross-screen validation and no clean export. The difference is the read layer: Mediar reads what the application exposes via accessibility APIs, so it works on the legacy desktop apps where pixel-matching and selector-based RPA break when a label moves.
What audit trail does it produce?
Every pre-filled value carries a trace back to the source element it was copied from, plus a timestamp and the workflow version. Compliance reviewers get a per-field provenance record instead of a black box. Mediar is SOC 2 Type II certified and HIPAA compliant, runs inside your existing security perimeter, and logs every action.
Does the agent submit the form on its own?
No. The pattern is pre-fill, then human review and submit. For a Reg E dispute, an FDA 3500A, or a CMS grievance, a person confirms the draft before it goes to the regulator. The time saved is in the keying and the cross-system lookups, not in removing the reviewer.
Where does this approach not help?
If the entire workflow already lives in a modern SaaS app with a real API, a browser agent or a direct integration is simpler. Mediar's edge is the legacy desktop layer: SAP GUI, Oracle EBS, Jack Henry, Fiserv, FIS, Epic, Cerner, mainframe terminals. If your regulatory form is a clean web form with an API behind it, you may not need an accessibility-API agent at all.
How long until a workflow like this is in production?
Days, not months. Mediar learns the workflow by watching the rep do it once instead of an engineer scripting selectors. Pricing is $0.75 per minute of runtime with a $10,000 turn-key program fee that converts to credits; there is no per-seat licensing.
Related reading
Who offers AI to fill complex compliance forms
A buyer's directory that splits form-fillers by which form they actually reach and what artifact each leaves for the auditor.
The best PDF API for auto-filling government compliance forms
Where a PDF API stops working and you need to drive the form inside the system of record instead.
Legacy desktop apps with no API are the moat
Why the no-API desktop layer is exactly where browser agents and selector-based RPA fall down.
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