Verifiable

Most health plan AI conversations in 2026 are stuck on the same question: not whether to invest, but where to deploy first. Four barriers stall most deployments before they reach production: 📊 Data readiness gaps.  ⛔ Governance failures. 💻 Tech stack resistance.  📈 Year 1 ROI pressure that most boards won't wait through. Credentialing sidesteps all four. The primary sources are already integrated. NCQA provides the compliance framework. The ROI is concrete and measurable from day one. And the risk profile is low compared to clinical use cases. Janan Dave and Brett Dooies made the full case in Verifiable's recent session — framework, live CredAgent™ demo, and how to build the internal business case for your CFO, CIO, and COO. Recording available now: https://bit.ly/3R6xO2h

We're proud to be sponsoring the Michigan Association of Health Plans Annual Conference next week! If your team is feeling the squeeze on credentialing turnaround, network monitoring, or growing your provider network without growing headcount, the Verifiable team will be ready to 𝗰𝗵𝗮𝘁 𝗮𝘁 𝗯𝗼𝗼𝘁𝗵 #𝟯𝟯. We'll be around all week and don't want to miss anyone. Wednesday afternoon is a tough call — wine tour 🍷 , brewery tour 🍻 , pickleball 🥒 , or golf ⛳ ? Drop a comment or message and tell us where you'll be. We'll happily catch up over a glass, a swing, or a serve. See you there!

We're proud to support Midi Health in reaching such a high bar in credentialing!

Joining us tomorrow? There is still time to register. Most health plan AI conversations right now start in the same place: the budget is committed, leadership is aligned, and the pressure is on to show results. The harder question is where to put that investment to work first. Brett Dooies and Janan Dave will walk through why credentialing is one of the clearest opportunities in healthcare for agentic AI today, not because it is a simple problem, but because it has exactly the properties agentic AI is built for: defined inputs, structured decision logic, verifiable outputs, and built-in regulatory checkpoints. 🎙️Credentialing: Your Clearest AI Win in 2026 📅 Wednesday, June 24 · 3:30 PM ET ✅ Register here: https://bit.ly/3QRJqWu

Most health plan AI conversations right now start in the same place: the budget is committed, leadership is aligned, and the pressure is on to show results. The harder question is where to put that investment to work first in a way that delivers real ROI, holds up to governance scrutiny, and does not pull your best AI talent away from work that actually differentiates your organization. We are making the case for a specific answer to that question on June 24th. Brett Dooies, our Head of Product, and Janan Dave, SVP of Operations and leader of Verifiable's NCQA-certified CVO, will walk through why credentialing is one of the clearest opportunities in healthcare for agentic AI today. Not because it is a simple problem. Because it has exactly the properties that agentic AI is built for: defined inputs, structured decision logic, verifiable outputs, and built-in regulatory checkpoints. Janan's team analyzed 150+ credentialing workflow steps to build CredAgent. A 10-person team that processes 2,000 files a month can process up to 20,000 with the same headcount. That is not a speed improvement. It is a fundamental change in what the function can absorb. Brett will also cover something most AI vendors skip entirely: why credentialing is the right domain for agentic AI but the wrong candidate for an internal build, and how to make that case to your own engineering leadership. The session includes a live CredAgent demo and closes with a framework for building the business case for your CFO, CIO, and COO. If you are evaluating where to deploy AI in your health plan this year, this one is worth your time. Register below 👇

What Is Credentialing Actually Costing You? A few pages don't tell the whole story. The complete framework covers what credentialing is actually costing across five dimensions, including two most health plans have never formally measured. Download the whitepaper to get the full cost framework, maturity scorecard, and 90-day pilot structure. 📄 Download the complete Whitepaper here: https://bit.ly/3QdQDzY

If your organization is directing AI budget toward internal builds this year, this is worth reading. For most use cases, internal development is the right call. Proprietary problems deserve proprietary solutions. But credentialing isn't that. A production-ready credentialing AI requires: • Hundreds of primary source integrations — many behind bot detection and CAPTCHAs, including DEA  • NCQA compliance infrastructure embedded in the architecture from day one  • Exception handling logic built from years of credentialing operations experience  • Continuous monitoring that hardens the system as it encounters real production edge cases The build cost is the smallest part of the equation. The multi-year maintenance, integration updates, and compliance monitoring are where most internal estimates fall short. Every hour your engineers spend on credentialing infrastructure is an hour not spent on the use cases that actually differentiate your organization. We're covering this directly, along with how to build the internal business case, in our upcoming webinar on June 24th, 3:30pm ET. Register today: https://bit.ly/4vEsIZq

In order to measure what credentialing is truly costing you, you need to establish a baseline. These 6 KPIs help you get there: ➡️ Days to Credential ➡️ Cost per Credential ➡️ Error / Flag Rate per File ➡️ Directory Accuracy Rate ➡️ Monitoring Lag ➡️ Audit Readiness Find the framework for measuring this baseline and much more in our co-published guide with Joey Costa of Provider Peak. Download Whitepaper Here: https://bit.ly/3QdQDzY

Thanks to everyone who joined us at our AHIP 2026 happy hour with Salesforce this week! Great conversations, great company, and a fun way to connect outside the conference rush. Appreciate everyone who stopped by and looking forward to keeping the conversation going. See you next year!

Most health plan AI conversations in 2026 are stuck on the same question: not whether to invest, but where to deploy first. Some use cases carry patient safety risk that turns pilots into liability exercises. Some require data infrastructure that doesn't exist yet. Some will take two or three years to show ROI — and most boards aren't waiting that long. There's one use case that sidesteps every one of those barriers. It has structured, auditable workflows. The compliance framework already exists. The ROI is measurable from day one. And it doesn't require your internal AI team to build and maintain infrastructure that isn't differentiated. We're making the full case on June 24th, 3:30pm ET. Janan Dave and Brett Dooies from Verifiable will walk through the framework for choosing where to deploy AI in your organization — and why credentialing clears every bar a governance committee will set. Register here: https://bit.ly/4vEsIZq