Authored by ASP-RCM Solutions Team · Last updated: May 31, 2026
Home/ Case Studies/ Credentialing 110→62 days
Growth · ABA · Multi-state

ASP-RCM Case Study. Credentialing time cut from 110 days to 62.

A growing ABA network needed to onboard 40 new BCBAs and RBTs across three new states without losing 90 days of billable revenue per hire. Here's how the ASP-RCM parallel-workflow approach compressed credentialing, and what it added to first-year revenue.

110→62
Days to credential
40
Clinicians onboarded
3
New states
$1.8M
Revenue protected

Credentialing is the most underappreciated revenue lever in a growing practice. Every day a new clinician sits idle waiting for payer enrollment is a day of clinical revenue not earned, and the math compounds fast at scale. This network was hiring 40, opening three states, and on track to lose roughly 90 billable days per hire under their existing process.

01 / Starting pointThe challenge

The legacy credentialing process was sequential and queue-based. CAQH first, then primary-source verification, then payer-by-payer enrollment, then contract execution. Each step waited for the previous one. Each handoff lost 3-5 days. Each missing document restarted the clock at one or more payers.

Across 40 hires and 8 priority payers per state, the math was brutal: 110-day average, with outliers running 160+ days.

02 / The shiftFrom sequential to parallel

The core change wasn't software, it was workflow architecture. Three moves:

  1. Pre-flight document pack built before the offer letter is signed. CAQH, licensure, malpractice, NPI, fingerprint cards, all collected on day one of the offer process
  2. Parallel payer enrollment. Eight payers worked simultaneously, not sequentially. Each had its own owner with explicit aging triggers
  3. Daily status sweep across active credentialing files. Anything aging beyond payer-specific SLAs got escalated within 24 hours
Move 01

Pre-flight pack

Document collection starts before offer signature. Day-one CAQH-ready.

Move 02

Parallel enrollment

8 payers per state worked simultaneously by named owners.

Move 03

Daily aging report

Every file aged against payer SLA. Outliers escalated in 24h.

Move 04

Payer relationship map

Provider-rep contacts for each payer. First-name basis on escalations.

Move 05

Effective-date hunting

Retroactive effective dates pursued where allowed by contract.

Move 06

Onboarding sync

Clinical onboarding aligned to credentialing milestones, not start dates.

03 / OutcomesWhat changed

Metric
Before
After
Delta
Average cycle time
110 days
62 days
↓ 44%
Outlier cycle (90th pct)
162 days
81 days
↓ 50%
Documents complete on day 1
35%
96%
↑ 61 pts
Lost billable days / hire
~90
~42
↓ 48 days
First-year revenue protected
n/a
$1.8M
+$1.8M

We hired aggressively for 18 months and never had a quarter where credentialing was the bottleneck. That had never been true before.

COO, ABA network

04 / Why it sticksThe operational moat

Most credentialing-velocity wins erode within a year as the team that built the workflow rotates out. What kept this one durable:

  • The pre-flight pack lives in the offer-letter packet, owned by HR, not credentialing
  • The daily aging report runs automatically; reviewing it is a 10-minute morning ritual
  • Payer relationship maps are documented, with named contacts and escalation history
  • The 60-day target is published. Outliers get walked through, not buried

Hiring fast? Don't lose 90 days per clinician.

A senior partner audits your credentialing cycle and writes a 90-day plan to compress it. No software pitch.