Accounts Receivable Follow Up Pricing Guide for Denial and A/R Teams

Accounts receivable follow up pricing can look simple when it is expressed as a fee per account, a percentage of collections, a full time resource rate, or a monthly service charge. For denial and A/R teams, the real cost depends on inventory quality, payer mix, aging, documentation availability, system access, exception volume, appeal complexity, reporting needs, and the amount of manual work required to move each account. A low price can become expensive when the service model rewards touches instead of resolution.

This pricing guide focuses on how revenue cycle leaders should evaluate cost and accountability without relying on generic market rates. The goal is to understand what is included, what drives effort, how outcomes will be measured, and where RPA can reduce repetitive administrative work without hiding complex cases.

Why A/R Follow Up Pricing Varies So Widely

Two portfolios with the same total balance can require very different effort. One may contain recent claims awaiting normal payer processing. Another may contain aged denials, missing documentation, authorization defects, coordination of benefits, repeated payer requests, underpayments, and accounts near appeal deadlines. Pricing that ignores this difference can create unrealistic expectations or encourage superficial touches.

Payer mix also matters. Some payers provide structured status responses and electronic remittance detail. Others require portal navigation, document downloads, phone follow up, or manual escalation. Specialty services, high value claims, complex coding, and payer specific rules can increase investigation time.

For an RCM leader, pricing affects queue coverage and vendor behavior. For a CFO, it affects cost to collect and cash forecasting. For a CIO, it affects access, integrations, data movement, automation support, and the cost of maintaining technical dependencies.

Common Pricing Models and Their Tradeoffs

• Per account or per claim: This model is easy to understand but may not reflect complexity. Leaders should define what counts as an account worked and whether repeated touches are charged separately.
• Percentage of collections: This can align payment with recovery, but it requires clear rules for attribution, preexisting payments, patient balances, and accounts resolved through internal teams.
• Dedicated resource or capacity model: The organization pays for a defined team or monthly capacity. This provides flexibility but requires productivity, quality, and queue coverage controls.
• Fixed monthly managed service: The vendor accepts responsibility for a defined portfolio and service level. Scope, volume assumptions, exceptions, and change terms must be explicit.
• Hybrid model: A base fee may cover standard work, with additional pricing for complex appeals, legal follow up, coding review, or major workflow changes.

No pricing model is automatically better. The right model should match the inventory, desired ownership, internal capability, and quality controls. Leaders should be cautious when a model creates incentives to maximize activity, avoid difficult accounts, or focus only on balances most likely to pay.

The Cost Drivers Denial and A/R Teams Should Quantify

A useful pricing discussion should include the operating factors that determine effort.

1. Inventory composition: Separate no response, rejection, denial, documentation request, authorization, coding, underpayment, patient balance, and technical issues.
2. Aging and deadlines: Older accounts and time sensitive appeals usually require more investigation and escalation.
3. Payer access: Count portals, credential types, multifactor requirements, phone dependent workflows, and special enrollment needs.
4. Documentation readiness: Measure how often medical records, authorization evidence, coding support, or claim history must be collected.
5. System fragmentation: Identify duplicate entry, spreadsheet tracking, manual exports, and separate document locations.
6. Exception rate: Estimate how much work follows standard rules and how much requires expert judgment or cross functional coordination.
7. Reporting and governance: Define required dashboards, root cause analysis, audit evidence, service reviews, and change management.
8. Automation maturity: Determine whether repetitive tasks are already automated, suitable for RPA, or dependent on unstable processes.

These drivers help leaders compare proposals on a like for like basis. A vendor offering a lower unit price may be excluding documentation collection, payer escalations, coding questions, or technical support that another vendor includes.

How Poor Pricing Design Creates the Wrong Behavior

Consider a denial team paid per account touched. Collectors are encouraged to make quick status checks and close easy items, while complex appeals remain in pending queues. Reports show high productivity, but appeal deadlines are missed and high value accounts age. The pricing model has rewarded activity rather than controlled recovery.

A percentage of collections model can create different issues if attribution is unclear. Payment may arrive because a corrected claim was submitted by the internal coding team, while the vendor claims credit because it previously touched the account. Disputes over attribution consume management time and weaken trust.

Good pricing should therefore be paired with outcome definitions. A productive touch should create evidence, a status change, a correction, an appeal, a payment resolution, or a clear escalation. Leaders should also monitor difficult inventory so that the vendor does not avoid accounts that require more effort.

Where RPA Changes the Cost Structure

RPA can reduce the manual cost of repeatable activities such as payer portal checks, claim status retrieval, worklist updates, remittance validation, document collection, queue reconciliation, and standard routing. This can allow skilled collectors to spend more time on denials, appeals, underpayments, and payer escalation.

Automation does not eliminate the need for service pricing discipline. Bots require design, integration, testing, credentials, monitoring, exception handling, and maintenance. Payer portals and source systems can change. A pricing proposal should make clear who owns bot support, how changes are handled, and whether automation savings are reflected in future capacity assumptions.

Agentic automation may assist with denial classification, document summarization, or next action recommendations, but human review should remain visible for judgment based cases. The cost model should not assume that every account can be resolved automatically.

How Neotechie Helps Teams Use RPA Reliably

Neotechie helps denial and A/R teams identify the repetitive work that drives follow up cost and determine whether it is ready for automation. Process discovery can map payer portals, worklists, status codes, document sources, remittance data, ownership, exceptions, and service expectations before RPA is introduced.

Neotechie can support bot design, system integration, data validation, queue updates, exception routing, testing, role based access, audit trails, monitoring, and post go live support. Neotechie works across leading RPA and automation platforms, including Automation Anywhere, UiPath, and Microsoft Power Automate. Revenue cycle leaders can explore Neotechie’s RPA for business operations when repetitive follow up activity is increasing service cost.

This approach helps organizations separate administrative work from expert recovery work. The objective is not to force every account through automation. It is to use automation for predictable steps while preserving human ownership for appeal strategy, coding questions, contract interpretation, payer negotiation, and unusual patient circumstances.

A Pricing Checklist Before Signing

Before selecting a vendor or changing an internal service model, leaders should confirm the following:

• The inventory categories and aging included in the price are defined.
• The meaning of an account worked, resolved, closed, or collected is documented.
• Complex appeals, documentation collection, coding review, and underpayment analysis are addressed.
• Payer portal access, credentials, integrations, and technical support responsibilities are clear.
• Reporting covers productive outcomes, exception age, deadlines, root causes, and unresolved handoffs.
• Quality review, audit evidence, and compliance responsibilities are included.
• Volume changes, new payers, system upgrades, and rule changes have transparent commercial terms.
• Automation ownership, monitoring, maintenance, and savings assumptions are documented.
• Exit support and transfer of work history are defined.

This checklist turns pricing from a rate comparison into an operating responsibility comparison. It also makes it easier to understand whether a proposal will reduce cost or simply move unpriced work back to internal teams.

Conclusion

Accounts receivable follow up pricing should reflect the real work required to resolve claims, not only the number of accounts in a queue. Denial and A/R teams should compare pricing models against inventory complexity, payer access, documentation readiness, system fragmentation, exception volume, governance, and support.

The best commercial model aligns cost with productive outcomes and makes ownership visible. RPA can reduce repeatable administrative effort, but pricing should still account for monitoring, change, and human expertise in complex recovery work.

FAQs

Q. Which A/R follow up pricing model is best?

No single model is best for every organization because inventory complexity, desired ownership, and internal capability vary. Leaders should choose the model that creates clear accountability and does not reward superficial touches or avoidance of difficult accounts.

Q. How should automation be reflected in A/R follow up pricing?

Pricing should distinguish automated administrative work from expert denial, appeal, and underpayment work. It should also define who pays for bot development, monitoring, maintenance, portal changes, and exception handling.

Q. How can Neotechie help lower repetitive follow up effort?

Neotechie can map payer and worklist processes, automate stable tasks, integrate systems, and establish monitoring for production use. This can reduce manual status work while keeping complex cases with qualified revenue cycle specialists.