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 want AI help with patient billing and collections
- Organizations that track how much they collect, how long it takes, and what it costs
- Teams that want AI agents that talk to patients, plus payment plans, without replacing the EHR
Weak fit
- Health systems buying a full claims and clearinghouse system for payers
- Practices where patients owe almost nothing
- Buyers who will not change how they send statements and contact patients
Bottom line
Collectly is worth using for mid-sized providers and billing firms that want to automate how patients are cleared financially and pay their balances. It suits teams with EHR connections and a clear owner for patient messages. Organizations that need a full payer claims platform should look at Waystar.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Collectly automates the money side of a patient's visit. That covers intake before the visit, cost estimates, payment at the visit, and billing afterward.
AI agents handle much of the patient outreach while staff handle the hard cases. The company claims higher collections and a lower cost to collect, and those are the claims buyers should check.
Getting those results still needs EHR connections and a clear owner for patient messaging. Prices are quoted for each customer. It is not a full claims platform like Waystar.
Among billing tools we review, Collectly scores close to MDaudit, though the two solve different problems.
Phreesia is a related choice when you want intake and payments together. AKASA or Aptarro fit buyers mainly interested in AI for work with payers.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Cedar | 7.9 | 7.4 |
| PayZen | 7.6 | 7.5 |
| Inbox Health | 7.4 | 7.1 |
| Collectly | 7.4 | 7.2 |
| PatientPay | 7.0 | 7.0 |
| Rivia Health | 6.5 | 6.4 |
Pricing
| Item | Detail |
|---|---|
| Model | AI for patient billing and collections, sold to practices, billing companies, and health systems, with quotes for each customer. |
| What usually drives cost | The number of patient statements, which modules you use (intake, estimates, collection agents), and how much EHR connection work is needed. |
| What to ask before you buy | The full cost compared with what collecting costs you now, with collection targets written into the contract. |
| Published pricing | Collectly does not publish prices. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Collectly to function | |
| Patient balances large enough to make automation worth it | If patients owe very little, the platform will not pay for itself. |
| An owner for the EHR or practice management connection | The AI billing agents need patient contact details and balances. |
| Clear patient messaging and collections policy | AI outreach without a policy leads to complaints. |
| Staff who will handle hard cases and payment plan problems | Even full automation still needs people. |
| Baseline metrics for collection rate and days to collect | You cannot show a return without a starting point. |
| What will maximize your value | |
| Measure how much you collect, days to get paid, and what collecting costs | Those are the numbers Collectly promises to improve. |
| Turn on estimates and payment at the visit where you can | Automating only after the visit leaves money uncollected. |
| Check how satisfied patients are with billing contacts | Collecting more while losing patient trust is not a real win. |
| Drop duplicate statement vendors after the switch | Two sets of bills confuse patients. |
| Set how often you contact patients by specialty and balance size | The same schedule for every balance annoys patients. |
| Deal-breakers | |
| You need a full claims clearinghouse for payers, not patient billing. | |
| Insurers pay almost everything, and patients owe almost nothing. | |
| Your compliance team will not approve automated patient outreach. | |
| No one owns the patient billing experience after launch. | |
| You will not change how you send statements and make calls. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 2-5 weeks for EHR mapping, a messaging policy, and security review |
| 2 | From kickoff to first use | 4-10 weeks for the first locations to start digital billing |
| 3 | From first use to steady results | 2-4 months before gains in collections hold steady |
Leadership
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 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.