Automate the prior auth chase without handing clinical decisions to software.
TryAgent automates the operational prior authorization work that slows healthcare teams down: intake, document collection, payer portal follow-up, status checks, packet preparation, and exception routing. Humans keep medical necessity, coverage, appeal, and patient-impacting decisions.
The bottleneck is usually the operational chase around the decision.
Healthcare teams do not need a vague AI system that blurs responsibility. They need cleaner packets, earlier missing-field detection, better payer status visibility, and faster routing when a human needs to review the case.
Requests start in schedules, referrals, EHR workqueues, benefit checks, faxes, inboxes, and payer portals instead of one clean queue.
Staff gather the same clinical notes, codes, demographics, payer details, and supporting documents before each request can move.
Payer portal status checks create repeated manual work with little visibility into what is submitted, pending, missing, denied, or ready for review.
Missing information is discovered late, after a patient, provider, billing team, or scheduler is already waiting on the next step.
Denials and requests for more information require packet assembly, reason-code review, follow-up, and routing back to the right owner.
Automation becomes risky when it tries to make medical necessity, coverage, appeal, or patient-impacting decisions instead of preparing the operational path.
Turn prior authorization into a controlled workflow with human review where it matters.
A useful first pilot is not every payer, every case, and every decision. It is one repeatable queue where the routine path can be prepared, tracked, and routed with clear review rules.
Identify
Find encounters, services, referrals, procedures, medications, or orders that appear to require prior authorization before the team loses time downstream.
Collect
Gather payer details, patient demographics, provider information, codes, notes, forms, attachments, and evidence needed for the request packet.
Prepare
Assemble a reviewable packet, identify missing fields, prefill routine information, and surface clinical or policy-sensitive gaps to humans.
Track
Check payer portal or queue status, update internal records, log the next step, and keep the owning team aware of what is waiting.
Route
Send denials, unclear status, missing evidence, appeals, peer review, or patient-impacting exceptions to the right human with context.
Automate operational prior auth work
- +Prior authorization queue triage from schedules, referrals, EHR workqueues, order queues, payer portals, faxes, forms, and inboxes.
- +Document and evidence collection for common request types where required packet components are known.
- +Routine field prefill, completeness checks, code and payer-context gathering, and missing-information requests.
- +Payer portal status checks and internal status updates so teams know what is submitted, pending, returned, approved, denied, or blocked.
- +Packet assembly for additional information requests, denial follow-up, appeal preparation, and human reviewer handoffs.
- +Completion logging when a request is submitted, updated, returned, escalated, or cleared for the next operational step.
Keep humans on decisions
- -Medical necessity, clinical judgment, care-plan decisions, coverage interpretation, appeal strategy, and patient-impacting decisions.
- -Requests with contradictory records, missing source evidence, unusual codes, sensitive diagnoses, high-value services, or payer-specific ambiguity.
- -Denials, peer-to-peer review, escalations, urgent clinical tradeoffs, or cases that require licensed or credentialed review.
- -Workflow rules that change authority, patient communication, clinical responsibility, or payer policy interpretation.
- -Any step where the organization requires a named human owner before submission, resubmission, appeal, or patient notification.
Good first-workflow signals
- +The team can name one recurring prior authorization queue, service line, payer group, medication class, or procedure category.
- +The workflow has repeated intake, document, status, portal, or handoff work that does not require clinical judgment every time.
- +Humans already know which requests require clinical review, peer review, appeal decisions, or patient-impacting communication.
- +A completed operational unit can be defined without claiming software made the medical or coverage decision.
- +Representative samples, screenshots, exports, workqueue views, or read-only source-system context can be reviewed during discovery.
Usually not a first fit
- -The buyer wants automation to decide medical necessity, override payer policy, make appeal strategy, or communicate sensitive patient outcomes without review.
- -There is no stable definition of what submitted, pending, returned, denied, approved, or completed means in the current workflow.
- -Every request requires bespoke clinical reasoning before even the operational packet can be prepared.
- -The organization cannot provide safe discovery access or representative examples of current prior authorization work.
- -The first proposed scope is every payer, every service line, and every exception path at once.
Prior auth works best when it is scoped as one healthcare workflow, not a platform replacement.
The adjacent pages help buyers connect prior authorization to verification, claims, documents, healthcare operations, AI workflow execution, and controls.
Revenue cycle automation
Use this when prior authorization is one part of a broader revenue-cycle workflow across verification, billing, claims, and denials.
Medical billing automation
Use this when prior authorization work feeds billing queues, claim preparation, payer follow-up, or denial handoffs.
Denial management automation
Use this when prior authorization follow-up continues into denials, appeal packets, payer status checks, or missing evidence.
Insurance verification automation
Check eligibility, plan status, benefits, and authorization signals early enough for staff to act before service delivery.
Claims processing automation
Use this when prior authorization follow-up is connected to claims documentation, denial packets, or status work.
Document processing automation
Collect, read, validate, and route notes, forms, attachments, faxes, portal files, and missing-document follow-ups.
Healthcare automation
See the broader healthcare workflow model for intake, eligibility, referrals, claims documentation, and compliance-heavy work.
AI workflow automation
Use AI-assisted execution when the workflow needs to read messy context, use tools, and route exceptions.
Security and controls
Review the access, approval, audit-history, and human-control framing needed for healthcare workflows.
Before automating prior auth, define the review boundary.
The free workflow audit maps one prior authorization path from intake to completion. It identifies what software can prepare, check, track, or route; where humans must decide; and which narrow pilot can prove operational value safely.
Current-state map
Where requests originate, which systems hold context, which documents are required, which portals are checked, and where staff lose time.
Human decision boundary
The clear line between operational preparation and human-owned medical necessity, coverage, appeal, clinical, and patient-impacting decisions.
Exception model
The missing, ambiguous, denied, urgent, high-value, low-confidence, or policy-sensitive cases that should route to humans.
Pilot unit
A measurable completed unit, such as one request packet prepared, one status checked, one missing-information request sent, or one exception routed.
Bring the queue where staff keep checking portals, chasing documents, and rebuilding packets.
The audit shows which work can be automated, which decisions stay human, and what completed operational unit should anchor the first pilot.
Book a workflow auditGet the prior auth workflow checklist.
Leave a work email and we will follow up with the questions that separate useful prior authorization automation from decision automation that needs human review.
What is prior authorization automation?
Prior authorization automation handles operational work around prior authorization: identifying requests, collecting documents, checking completeness, preparing packets, tracking payer status, updating queues, and routing exceptions to humans.
Does prior authorization automation make clinical decisions?
In TryAgent's model, no. Humans remain responsible for medical necessity, care decisions, coverage interpretation, appeal strategy, peer review, patient communication, and other clinical or patient-impacting decisions.
Which prior authorization workflows are good first candidates?
Good first candidates include one service line, procedure category, specialty medication queue, imaging approval workflow, referral authorization handoff, payer portal status workflow, or denial packet assembly path.
Can this work with existing healthcare systems?
That should be the starting assumption. A first pilot should work with the current EHR, practice management system, payer portals, clearinghouses, fax or inbox processes, document stores, and operational queues where possible.
How should a prior authorization pilot be measured?
Measure completed operational units, queue age, manual touches, missing-document rate, status visibility, exception rate, rework, and reviewer-ready packets. Do not measure it as vague AI activity.
What is the safest way to start?
Start with a read-only workflow audit. Pick one prior authorization queue, map the current path, define the human decision boundary, and scope a narrow pilot around operational preparation, tracking, and routing.