{ "@context": "https://schema.org", "@type": "Service", "name": "GPO Admin Fee Recovery for Healthcare", "description": "Healthcare GPO admin fee recovery solution that identifies missed administrative fees, validates contract alignment, and surfaces overlooked financial value across purchasing activity.", "serviceType": "GPO Admin Fee Recovery", "provider": { "@type": "Organization", "name": "hunterAI", "url": "https://www.hunterai.com" }, "audience": { "@type": "Audience", "audienceType": "Healthcare organizations" }, "areaServed": { "@type": "Country", "name": "United States" }, "url": "https://www.hunterai.com/gpo-admin-fee" }

Service-as-software platform

Recover missed
GPO admin fee
hidden in the contracts
or transactions

Your GPO owes admin fees back to you, and the report is self-reported from disparate data sources — across a thousand-plus contracts bought on and off PO there is significant complexity in tracking. hunterAI reconciles your line-item AP and price files as the source of truth, surfacing what went unreported and what was never activated. This transparency strengthens the GPO partnership.

Key results

Recent engagement with our client discovered as much as X$ savings potential in admin fee reconciliation

X$

Savings potential identified through admin fee reconciliation

Delivery Model

As an Outcome —
output-of-work

Time to Your
Savings Package

Targeted analysis to MPN or contract — 5 days.
Full spectrum analysis — 20 days.

Data Access

Read-only files, zero integration

Principle: never alter data

How We Read It

At the line item, not the header

How it runs | AS AN OUTCOME

An audit of your historic GPO fees; tracked and traceable in a control tower of the contracts, prices and quantities paid versus what’s been reported. With the discrepancies collaboratively worked to recovery.

The Sequence

01

Validate activation & estimate baseline spend

Confirm live admin fee contracts in the last 18 months, map related products / MPNs and quantify contract terms. Then estimate the baseline spend from AP and PO data.

Output: a prioritized contract list with associated products / MPNs and surfaced activation gaps.

02

Reconcile estimates with actual baseline spend

Run a full gap analysis, cataloging where actual fee payments deviate from the expected, by contract and MPN.

Output: gap catalogue and live dashboard.

03

Recover discrepancies & learn

Take the evidenced gaps to the GPO as a partner and work through collection. Use hunterAI to support your team in engagement.

Output: gaps recovered.

Once the historic reconciliation is complete, the same engine can verify each new fee report quarterly, catching under reporting in-cycle. Then use this transparency to strategically position your current buying and future contract negotiations.