A clinician and facility leader completing a shift handoff

Closeout Agent

AI-Powered Payment Reconciliation for Healthcare Staffing

Close every shift with confidence

Faster pay. Accurate billing. Defensible records.

One shift. Three parties waiting to get paid right.

Start with the facility buyer and work backward: clean T&A is the shared record every party needs.

Facility staffing leader reviewing a shift schedule

Healthcare staffing buyers

  • Consolidate different agency T&A systems
  • Pay only for hours actually worked
  • End costly back-and-forth with agencies
  • Reduce compliance risk with supporting data
Accurate agencies become preferred partners.
Staffing agency operations lead reviewing a shift record

Agencies & marketplaces

  • Get paid faster and protect working capital
  • Validate buyer-controlled T&A correctly
  • Resolve clinician–facility discrepancies fast
  • Avoid misclassification and underpayment risk
Accurate clinicians keep closeout moving.
Clinician checking her phone after a shift

Clinicians

  • Get paid faster — ideally the same day
  • Get paid accurately for every hour
  • Report time easily and focus on care
  • Avoid repeated questions about hours and breaks
Trust and respect should come with every shift.

Healthcare staffing at scale

Trusted across the platforms reshaping how facilities and clinicians work.

T&A validated same day for 1M+ shifts/month.

There Is No Single Timesheet

Your T&A data comes from multiple sources — all different, all conflicting.

Paper timesheet, facility clock terminal, and staffing roster from different facility systems

Facility Systems

Hardware at facilities, QR codes, paper forms, and vendor portals — all controlled by the facility.

Paper sheets, photographed and uploaded
Clinician clocking in on a mobile app at a healthcare facility

App Clock-in/out

Web-based time tracking or app-based geofence clocking from your MSP, your own system, or provider.

Often unreliable data
Phone and hospital campus map showing optional arrival and geofence evidence

Location Intelligence

Background location and geofencing from mobile apps — optional evidence of where clinicians actually were.

Optional evidence layer

What's the actual T&A for this shift?

Mobile pay confirmation showing approved hours and clinician payout

Clinician pay

How much do I pay the clinician?

Facility timesheet reconciled to a final invoice amount

Facility billing

How much do I invoice the facility?

Today, your back-office team manually reconciles every shift.

Slow Error-prone Unscalable
You pay clinicians now

You're a fintech company

Even if you don't know it

Facilities pay you later

We solve it in two modes

Which one matters more right now? Start there, then add objective location evidence where it creates value.

Data collection mode

Meal Breaks

$0.35/ shift
  • SMS-based break start/end collection
  • State-specific attestation prompts
  • Audit-ready response history
Optional evidence layer

Location Intelligence

$0.35/ shift
  • App clock-in/out geotags
  • On-shift presence at the facility
  • Arrival and departure evidence

One shift in. One closeout decision out.

Facility T&A
Supervisor 7:00 AM - 4:00 PM
Paper Sheet 7:00 AM - 4:00 PM
App Clock-in/out
Mobile 7:15 AM - 4:02 PM
Self-Report 7:00 AM - 4:00 PM
Location Intelligence Optional
Drive 21.9 mi
Tracking Stopped 1h 15m
Drive 55.5 mi
On Site 8h 45m
Closeout Agent
Reconciliation Notes
Location data confirms 6:58 AM arrival. Supervisor verified 4:00 PM departure. All sources corroborate.
Validated Timesheet 95% confidence
Clock In 7:00 AM
Clock Out 4:00 PM
Total 9h 0m
Recommended Payout
Claimed $180
Adjustment $0
Payout Systems
Branch
DailyPay
Gusto
Billing Systems
QuickBooks
Bullhorn
NetSuite

It coordinates the work your team does today

Agent outreach resolving a missing meal-break response by mobile message

AI Agent

When data is missing, the agent talks to clinicians, facility teams, and your systems to retrieve it. Human-like coordination, automated.

Does what a human would do
Hospital arrival and departure evidence within an optional geofence

Location Intelligence Optional

Background location, geofencing, and clock-in geotags provide ground truth that paper can never match.

Add objective presence evidence when needed
Conflicting shift records compared and resolved to one corrected value

Exception Handling

Cross-reference sources, detect anomalies, surface plan vs. actual variances. Flag what needs attention.

Catch what humans miss

Fast. Accurate. Scalable.

Additional data + better algorithms + human-like coordination

Built to show its work

Every closeout follows your rulebook, cites its evidence, and leaves an audit-ready trail.

Rulebook, source evidence, and a verified decision in an audit-ready evidence ledger

Multi-step reasoning

Reconciles 4+ conflicting evidence sources per shift: schedule, supervisor sign-off, mobile clock, location intelligence.

Resolves conflict like a human

Tool use

Calls scheduling, time-tracking, location, and notification APIs to gather evidence and dispatch outreach mid-conversation.

Talks to every system

Rulebook-driven

Facility escalation tiers, payment authority, source-priority logic — versioned, A/B-evaluatable, human-readable.

Your rules, not hardcoded heuristics

Eval-driven iteration

Run a rule change against the last 100 shifts before promoting. Langfuse traces every input, tool call, and decision rationale end-to-end.

Auditable from input to outcome

Model agnostic. Running on AWS. US headquartered. Global team.

Every shift closes with one defensible record

One completed closeout record with verified hours, pay, invoice, and supporting evidence

Healthcare networks processing millions of shifts cannot catch every discrepancy by hand. The cost shows up as overpayment, delayed invoices, clinician frustration, and compliance exposure.

Closeout Agent turns facility T&A, clinician reports, app clocks, and optional location evidence into one auditable closeout decision that every party can trust.

Not another dashboard. A completed, explainable decision for every shift.

Connected to Your Systems

Ready adapters to billing and payout platforms. Tell us what you use.

Billing Systems

QuickBooks
Q
QuickBooks
Bullhorn
B
Bullhorn
SAP
S
SAP
NetSuite
N
NetSuite
Workday
W
Workday
Your System
Closeout Agent
Bi-directional sync

Payout Systems

Zeal
Z
Zeal
Branch
B
Branch
DailyPay
D
DailyPay
Gusto
G
Gusto
ADP
A
ADP
Your System

Start with the data you have

Conflicting paper timesheets, app clock data, and facility roster evidence

The Reality

You might not have location data yet. App clock-ins may be unreliable. A facility may still use paper forms.

Clear verified and needs-review outcomes based on evidence sufficiency

Our Promise

We use the evidence available. When it is insufficient, we say so clearly and route the shift for review.

Progression from paper timesheet to app clock and optional location evidence

The Path Forward

We show you exactly which data sources would improve accuracy. Add mobile → better. Add location → even better. Incremental improvement at your pace.

The core team behind Closeout Agent

Product, engineering, mobile, and go-to-market leaders working as one global team.

Kashyap Deorah

Kashyap Deorah

CEO

Vibhas Jain

Vibhas Jain

Product

Thomas Raffetseder

Thomas Raffetseder

CTO

Alexander Kishinevsky

Alex Kishinevsky

VP Engineering

Jared McGriff

Jared McGriff

Marketing

Eugene Tulushev

Eugene Tulushev

Mobile

Sanchit Sharma

Sanchit Sharma

Engineering

US headquartered. Global team. Building HyperTrack since 2016.

Clinician leaving a facility after a completed shift with pay confirmation

Bring us one shift.

We’ll show you the evidence, the decision, and exactly how it gets clinicians and facilities to “paid right.”

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