Revenue cycle · Patient billing automation
Collectly
Collectly is an AI patient billing and revenue-cycle automation platform covering intake, estimates, point-of-service payments, and post-visit collections. It is not an end-to-end payer claims clearinghouse.
Strong fit
- Medical groups and billing companies that need AI-assisted patient billing and collections
- Organizations measuring collection rate, days to collect, and cost to collect
- Teams that want patient-facing agents plus payment plans without replacing the EHR
Weak fit
- Health systems buying an end-to-end claims and payer clearinghouse suite
- Practices with almost no patient-pay balance
- Buyers who will not change statement and outreach workflows
Bottom line
Collectly earns a Recommend for mid-market providers and RCM firms focused on patient financial clearance rather than full payer claims platforms. Outcomes claims around higher collections and lower cost to collect are the diligence anchors. Product covers intake, estimates, point-of-service pay, and post-visit billing agents. Implementation still needs EHR connectivity and clear ownership of patient messaging. Pricing is quote-based. Score sits near MDaudit on this board for a different, patient-pay shaped problem than Waystar-scale claims suites.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Collectly automates patient financial workflows across pre-visit intake, estimates, point-of-service payments, and post-visit billing. AI agents handle much of the patient outreach while staff work exceptions.
It is not a Waystar-style end-to-end claims platform. Compare it with Phreesia when intake and payments are adjacent, and with AKASA or Aptarro when generative AI RCM on the payer side is the main interest.
Score reflects credible patient-pay automation with ordinary mid-market pricing opacity.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Collectly | 7.4 | 7.2 |
| MDaudit | 7.4 | 7.1 |
| AKASA | 7.5 | 7.0 |
| Aptarro | 7.0 | 6.8 |
| Phreesia | 8.2 | 7.8 |
Pricing
| Item | Detail |
|---|---|
| Model | AI patient billing and RCM automation sold to practices, billing companies, and health systems; quote-based. |
| What usually drives cost | Patient statement volume, modules (intake, estimates, collections agents), and EHR integration scope. |
| What to ask in diligence | All-in cost versus your current cost to collect, with collection-rate targets written into the deal. |
| Published pricing | Public list price: not published. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Collectly to function | |
| Patient-pay balances large enough to justify automation | Tiny self-pay volume will not pay for the platform. |
| EHR or PM integration owner | Billing agents need demographics and balances. |
| Clear patient messaging and collections policy | AI outreach without policy creates complaints. |
| Staff who will work exceptions and payment-plan escalations | Full autopilot still needs humans. |
| Baseline metrics for collection rate and days to collect | You cannot prove ROI without a baseline. |
| What will maximize your value | |
| Measure collection rate, DSO, and cost to collect | Those are Collectly's buying metrics. |
| Turn on estimates and point-of-service pay where workflows allow | Post-visit-only automation leaves money on the table. |
| Review patient CSAT on billing interactions | Collections gains that destroy trust are a false win. |
| Retire duplicate statement vendors after cutover | Parallel bills confuse patients. |
| Tune outreach cadence by specialty and balance size | One cadence for every balance creates noise. |
| Deal-breakers | |
| You need an end-to-end payer claims clearinghouse, not patient billing. | |
| Almost all of your revenue is cleanly paid with no patient balance. | |
| Compliance will not approve automated patient outreach. | |
| No one owns patient financial experience after go-live. | |
| You will not change statement and call workflows. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract signed → kickoff | 2-5 weeks (EHR mapping, messaging policy, security) |
| 2 | Kickoff → first live workflow | 4-10 weeks for first locations on digital billing |
| 3 | First live workflow → steady value | 2-4 months before collection-rate gains stabilize |
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category actually buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.