Prior authorization & UM · Health plan / PBM PAHub
Agadia
Agadia builds PAHub and related utilization-management software for health plans and PBMs. It automates medical and pharmacy prior authorization and adjacent compliance workflows. It is not a specialty-clinic staff-augmentation service.
Strong fit
- Health plans and pharmacy benefit managers that need medical and pharmacy prior authorization on one platform
- Utilization management leaders preparing for new data sharing and electronic prior authorization rules
- Organizations that track turnaround time, how many decisions are automated, and audit readiness
Weak fit
- Small specialty clinics that only need a lightweight provider-side auth helper
- Buyers with no utilization management or pharmacy benefit team to run it
- Teams looking for a consumer medication brand
Bottom line
Agadia is worth using for health plans and pharmacy benefit managers that want one system for prior authorization and related utilization management. It suits payer teams ready to build criteria and integrations. Specialty provider groups should look at Silna instead.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Agadia's PAHub is utilization management software for health plans and pharmacy benefit managers. It handles prior authorization for both medical and pharmacy benefits and adds modules for formulary management, medication therapy management, and grievances.
Customers see results in faster turnaround times, more automated decisions, and easier audits. Getting there takes a payer operations project, because teams have to build their review criteria in the system and connect it to their other tools. Pricing is set for each enterprise customer.
Because PAHub is built for payers, it competes with other payer tools more than with provider products. Specialty provider groups looking at Silna are buying for a different role, and payer connection tools such as Availity work alongside a utilization management platform without replacing it. Among the prior authorization tools we review, Agadia scores just below Xsolis, which uses AI for utilization management, and above Silna.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Anterior | 8.1 | 8.1 |
| Xsolis | 7.8 | 7.3 |
| Infinitus | 7.7 | 7.4 |
| Humata Health | 7.7 | 7.4 |
| Agadia | 7.6 | 7.2 |
| Careviso | 7.6 | 7.3 |
| Silna Health | 7.3 | 7.1 |
| Itiliti Health | 7.3 | 7.1 |
| Banjo Health | 7.2 | 7.0 |
| Hindsait | 7.0 | 6.7 |
| Rhyme | 6.5 | 6.3 |
Pricing
| Item | Detail |
|---|---|
| Model | Software for health plans and pharmacy benefit managers, licensed by number of members, modules, or volume of requests. |
| What usually drives cost | The number of members, whether you buy medical or pharmacy modules or both, and how many data connections you need. |
| What to ask before you buy | The first-year cost at your member count and prior authorization volume, and what work for the CMS-0057 rule is included. |
| Published pricing | Agadia does not publish prices. Expect a custom quote. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Agadia to function | |
| A utilization management team at a health plan or pharmacy benefit manager to own it | Specialty tools for providers are a different purchase. |
| Staff to build review criteria and policies | PAHub does little until your criteria are built into it. |
| A plan to connect intake channels and core systems | If requests keep arriving only by fax, little can be automated. |
| Compliance staff to handle audit reporting | CMS and accreditation reviews require evidence. |
| Measures for turnaround time and automated decisions | Without them, you cannot tell whether automation is working. |
| What will maximize your value | |
| Start with medical or pharmacy, whichever has the heaviest volume | Running both at once makes it harder to learn what works. |
| Plan ahead for electronic prior authorization and data sharing | Federal rules require it. |
| Review override and appeal patterns monthly | The cases that need overrides show how well automation is working. |
| Train clinical reviewers on new queues | Turning on new screens does not mean reviewers will use them. |
| Get pharmacy and medical benefit teams working under shared ownership | Split ownership leads back to separate portals. |
| Deal-breakers | |
| You are a small clinic that only needs a simple prior authorization helper. | |
| You have no utilization management or pharmacy benefit team. | |
| You cannot staff the work of setting up review criteria. | |
| Leadership wants consumer medication marketing, not software for health plan reviews. | |
| No new system connections are allowed for the next year. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 4-10 weeks for security review and setup workshops |
| 2 | From kickoff to first use | 3-7 months, depending on modules and connections |
| 3 | From first use to steady results | 4-9 months of adjusting automation and getting ready for audits |
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.