Provider credentialing & network · AI credentialing & enrollment
Assured
Assured uses AI agents to automate provider credentialing, payer enrollment, and related network operations. It is not an EHR or staffing marketplace.
Strong fit
- Provider groups and digital health companies that need AI agents for credentialing and payer enrollment
- Network ops teams measuring calendar days from application to in-network status
- Buyers that want NCQA-oriented CVO automation without building a verification factory in-house
Weak fit
- Buyers that require a decade of public financial history before a pilot
- Organizations shopping only exclusion-list monitoring without enrollment workflows
- Care-delivery clinics looking for a telehealth prescribing network
Bottom line
Assured earns a Recommend for provider organizations and digital health networks that want AI agents on credentialing and payer enrollment. Outcomes show up in faster in-network dates when agents work primary sources and enrollment packets instead of spreadsheet queues. Product strength is agentic provider-operations automation; the company is still scaling after a July 2026 $19M Series A, so diligence should pressure-test references and security reviews. Implementation needs a credentialing owner and clean provider applications. Pricing is quote-based. ARR is not public; eight-figure ARR ambitions and large organization marketing put it in mid-market territory under the hard cap if those figures hold. Score sits under CertifyOS and Medallion on maturity, above Modio and ProviderTrust on automation ambition.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Assured (withassured.com) automates provider credentialing, payer enrollment, licensing, and related network operations with AI agents. CEO Varun Krishnamurthy leads the company; July 2026 brought a $19M Series A led by Insight Partners.
It is not a general HR onboarding tool. Compare CertifyOS when API-first provider data for plans is the frame, Medallion when enrollment software for scaling groups is the buy, and Verifiable when AI CVO positioning is the shortlist language.
Score reflects strong automation ambition with softer diligence on maturity until more public proof lands.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Assured | 7.4 | 7.2 |
| CertifyOS | 7.7 | 7.4 |
| Medallion | 7.7 | 7.3 |
| Andros | 7.6 | 7.3 |
| Verifiable | 7.1 | 6.9 |
| Credentially | 7.2 | 7.0 |
| Modio Health | 6.8 | 6.8 |
Pricing
| Item | Detail |
|---|---|
| Model | AI provider-operations platform for credentialing and enrollment; quote-based. |
| What usually drives cost | Provider volume, enrollment complexity, CVO scope, and support. |
| What to ask in diligence | Annual or per-provider cost at your onboarding volume, with turnaround SLAs and audit artifacts listed. |
| Published pricing | Public list price: not published. Expect provider-volume packaging. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Assured to function | |
| Named credentialing or network-ops owner | Software without owners becomes shelfware. |
| Baseline onboarding days and application defect rates captured | You cannot prove value without a before number. |
| Source-system list for licenses, CAQH, and payer portals documented | Missing sources recreate manual chase. |
| Staffing plan for incomplete applications after go-live | Unworked incomplete files never enroll. |
| NCQA or payer audit expectations written down | Surprise audit rules erase the gain. |
| What will maximize your value | |
| Track median days-to-in-network weekly for 90 days | Portal logins are not outcomes. |
| Start with one specialty or line of business first | Narrow wins beat empty enterprise banners. |
| Turn off duplicate spreadsheet trackers after parallel month | Dual entry doubles cost. |
| Review stalled applications in a standing huddle | Silent aging hides failure. |
| Publish a monthly network-ops digest to growth leaders | Hidden enrollment delays surprise revenue. |
| Deal-breakers | |
| Nobody will own incomplete credentialing files. | |
| You refuse primary-source or payer enrollment work the product needs. | |
| You expect an EHR replacement from a credentialing tool. | |
| Leadership will not measure onboarding turnaround. | |
| Legal blocks the data-use agreements required. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Scope & baseline | 2-4 weeks - Metrics, sources, LOB scope. |
| 2 | Configure | 4-12 weeks - Verifications, workflows, integrations. |
| 3 | Pilot | 4-8 weeks - One specialty or region; audit sample. |
| 4 | Scale | 2-4 months - Add lines; retire shadow trackers. |
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.