Provider credentialing & network · AI credentialing / CVO
Verifiable
Verifiable is an AI-assisted provider credentialing platform with primary-source verification, committee-ready packets, optional NCQA-certified CVO services, and ongoing monitoring. It is not a claims clearinghouse or EHR.
Strong fit
- Health plans and provider networks clearing credentialing backlogs with automation that follows NCQA rules
- Teams that want primary-source verification plus ongoing monitoring from one vendor
- Groups willing to set rules before trusting AI agents to work files on their own
Weak fit
- Buyers who only need OIG exclusion checks, not full credentialing files
- Groups that will not assign staff to review problem files
- Anyone expecting an EHR or practice management suite
Bottom line
Verifiable is worth using for mid-sized health plans and networks that want faster credentialing packets without losing audit trails. It suits teams ready to configure policies and staff exceptions. Buyers wanting deeper verification services may prefer Andros, and those slowed by payer enrollment should look at Medallion.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Verifiable automates provider credentialing with primary-source verification, files ready for committee, optional NCQA-certified verification services, and ongoing monitoring.
Verifiable says CredAgent, its automated workflow, works through backlogs in parallel and logs each decision with sources.
It is not an EHR or a full claims platform.
Its claims about turnaround, audit pass rates, and scale are the ones to check.
Setup still needs rules configured and staff for problem files. Prices are quoted for each customer, with ordinary change management costs.
Among the credentialing tools we review, Verifiable scores below Medallion and Andros as a younger, AI-led take on a familiar verification problem.
Andros suits buyers who want deeper verification and network services. Medallion suits buyers whose main delay is enrollment into payer panels.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| MD-Staff | 7.8 | 7.5 |
| Medallion | 7.7 | 7.3 |
| CertifyOS | 7.7 | 7.4 |
| Andros | 7.6 | 7.3 |
| Assured | 7.4 | 7.2 |
| Credentially | 7.2 | 7.0 |
| Verifiable | 7.1 | 6.9 |
| Welter Healthcare Partners | 7.0 | 7.2 |
| Incredable | 6.8 | 6.6 |
| Modio Health | 6.8 | 6.8 |
| ProviderTrust | 6.8 | 6.6 |
| Medversant | 6.7 | 6.4 |
| Verisys | 6.7 | 6.9 |
Pricing
| Item | Detail |
|---|---|
| Model | Credentialing automation software, NCQA-certified verification services, and ongoing monitoring for plans and provider networks, priced by quote. |
| What usually drives cost | Number of providers, mix of software and verification services, how often monitoring runs, and integration scope. |
| What to ask before you buy | Cost per file or per provider managed, with NCQA audit support and promised turnaround on problem files listed. |
| Published pricing | Verifiable does not publish prices. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Verifiable to function | |
| Clean provider applications and rosters | Bad data in means bad files from then on. |
| Written NCQA and custom rules | AI agents need clear rules to follow. |
| Credentialing specialists to review problem files | Drafts made by AI still need human judgment. |
| A way to connect to your main network database | Files stuck in a portal do not speed up onboarding. |
| Monitoring owners for license and sanction alerts | Ongoing compliance needs daily attention. |
| What will maximize your value | |
| Track file turnaround and audit pass rates | Results matter more than AI claims. |
| Set rules before raising volume | Speed without rules creates audit risk. |
| Train staff to review decision logs | Logs only help if people read them. |
| Turn monitoring alerts into tickets you close | Unread alerts are only for show. |
| Pilot one part of the network before rolling out everywhere | Switching everything at once hides setup problems. |
| Deal-breakers | |
| You only need a simple OIG check with no file work. | |
| You will not assign staff to review problem files. | |
| Rules cannot be written for the AI agent. | |
| No integration owner exists. | |
| Leaders expect no audit preparation. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 2-5 weeks for security review, data mapping, and agreeing on policies |
| 2 | From kickoff to first use | 4-10 weeks for the first network or group of providers |
| 3 | From first use to steady results | 2-5 months before credentialing committee work and monitoring feel routine |
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.