Agentic Index
Basys.ai vs Develop Health (2026)
Both vendors last verified
Basys.ai and Develop Health sit on opposite sides of prior authorization. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Basys.ai sells to health plans: automated approvals on incoming requests with audit trails and clinician validation, fraud, waste and abuse detection and risk adjustment, deployable in the cloud or locally. Develop Health serves pharmacies, brands, payers and digital health companies on the prescription side, with benefit verification and an agent that finds the payer's form, fills it from the chart with citations, submits, follows up and drafts appeals, with review before submission and a public API. Choose Basys to review incoming requests inside your own environment, and Develop to submit prescription authorizations with a documented API.
On the Agentic Index healthcare agent ranking, neither Basys.ai nor Develop Health clears the bar, which asks for all five chart loop capabilities documented in full. Basys.ai documents two of the five in full; Develop Health does not document security and identity governance in full. 4 of the 69 vendors in the lane clear it. See the healthcare agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Basys.ai and Develop Health are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Basys.ai if
- You are a health plan reviewing incoming prior authorization requests.
- The system must run inside your own environment.
- Fraud, waste and abuse detection and risk adjustment belong with utilization management.
Choose Develop Health if
- You are submitting prescription authorizations rather than reviewing them.
- Your developers need a public API.
- Forms should be filled from the chart with citations and reviewed before submission.
| Feature | B Basys.ai |
D Develop Health |
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| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Basys.aiIntegrations & Tool Calling Requests arrive through EHR integration and fax and portal intake on an HL7 FHIR compliant, API first architecture, but Basys.ai names no system and describes no write into the plan's or a provider's systems. It also cites clinical workflow integration without naming the tools. SourceBasys.ai, basys.ai/technology and /payersread 2026-10-05 |
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Develop HealthIntegrations & Tool Calling An embedded athenaOne integration runs inside the prescribing workflow, and Develop Health connects to Epic and Cerner instances, which take about six weeks to set up. It submits to payers and PBMs, reaches prescribers by email, SMS, fax or Direct messaging, and can transfer a prescription to the chosen pharmacy by NCPDP ID. Sourcedevelophealth.ai/providerread 2026-09-29 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Basys.aiWorkflow Orchestration The prior authorization and utilization management decision runs as one product pipeline, which Basys.ai calls intelligent orchestration beyond LLMs, and intelligent routing decides which requests need manual review. Basys.ai describes no branching, multiple agents or flow the customer configures. SourceBasys.ai, basys.ai/technology and /payersread 2026-10-05 |
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Develop HealthWorkflow Orchestration The prior authorization lifecycle branches by state. Review can be delegated or non-delegated, and requests for more information go back to the provider. Outcome validation can send a PA back to follow up, outreach retries and escalates across channels, and a denial is analyzed with an optional appeal. The API exposes all of these as states and events. Sourcedocs.develophealth.ai/api-reference/prior-authorization/response-handlingread 2026-09-29 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Basys.aiTriggers & Channel Coverage Authorization requests arriving by EHR integration, fax and portal intake start processing, and 93 percent are approved automatically, so a provider's submission sets the agent working with no one at the plan initiating it. Basys.ai reports turnaround 95% faster and decisions 4 times faster. SourceBasys.ai, basys.ai/payers and basys.airead 2026-10-05 |
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Develop HealthTriggers & Channel Coverage Work starts from an API request, from the prescribing workflow inside the EHR, or from a partner pharmacy's claim reject. The system then acts on its own. It follows up with payers, schedules outreach retries until the outreach window closes and monitors coverage across the care journey. Sourcedevelophealth.ai/providerread 2026-09-29 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Basys.aiKnowledge Grounding & RAG Decisions match payer policies to patient attributes with detailed clinical evidence trails, and FWA analysis is policy aware. Basys.ai describes no store of the plan's policies or knowledge that can be kept up to date. Recommendations are evidence based and tied to specific data points. SourceBasys.ai, basys.ai/technology, /products and the trustworthy AI blog postread 2026-10-05 |
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Develop HealthKnowledge Grounding & RAG The agent reads the payer's rules and requirements for the drug and plan, discovers the right form, and fills each answer from the chart notes and evidence files with a citation to where it came from and a confidence score. Where the chart holds no answer, it leaves the question unanswered and routes it to the office. Sourcedevelophealth.ai/clearparead 2026-09-29 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Basys.aiMemory & State Persistence The product claims continuous learning and improvement, but Basys.ai does not say what carries from one case to the next, and it describes no memory for its agents. SourceBasys.ai, basys.ai/technologyread 2026-10-05 |
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Develop HealthMemory & State Persistence Each prior authorization carries its own evidence, and Develop Health names no memory that carries across them. With ClearPA, Develop Health says AI models never train on patients' data. Sourcedevelophealth.ai/clearparead 2026-09-29 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Basys.aiHuman Oversight & Guardrails Clinicians validate AI recommendations before action is taken, with each recommendation traced to the data points behind it. Recommendations are evidence based and come with human oversight, and intelligent routing sends fewer requests to manual review. SourceBasys.ai, the trustworthy AI blog post, basys.ai/technology and /payersread 2026-10-05 |
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Develop HealthHuman Oversight & Guardrails In the non-delegated model a PA stops at awaiting_review until the customer's authorized reviewer checks the prefilled answers and evidence, edits them and approves submission. Pharmacies choose whether the provider or a pharmacist signs off, and appeals are surfaced for review before they are sent. A delegated model without review before submission is also offered. Sourcedocs.develophealth.ai/api-reference/prior-authorization/overviewread 2026-09-29 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Basys.aiSecurity, Identity & Governance Access is role based, and encryption runs end to end. On compliance Basys.ai says only that it is HIPAA certified and 100% compliant, naming no attestation, auditor or report. SourceBasys.ai, basys.ai/technology and basys.airead 2026-10-05 |
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Develop HealthSecurity, Identity & Governance The company states it is HIPAA compliant and holds current SOC 2 Type 2 and HITRUST certifications. Each PA opens only with its own passkey. An organization administrator issues API tokens under user administration, and credentials are scoped per organization. Develop Health names no SSO, roles or permission model. It also runs a Vanta trust center. Sourcedevelophealth.ai/clearparead 2026-09-29 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Basys.aiObservability & Auditability Every action leaves a complete audit trail, and automated decisions are recorded with their reasoning and detailed clinical evidence trails, so a reviewer can trace how each recommendation was reached. Basys.ai says it uses no black box algorithms and explains the reasoning behind each decision. SourceBasys.ai, basys.ai/technologyread 2026-10-05 |
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Develop HealthObservability & Auditability Each PA exposes an activity log of faxes, calls and follow ups with payers alongside its lifecycle state. Provider outreach events carry the exact rendered message and files sent, checksummed and immutable once sent, with sent, delivered, opened and completed timestamps. Answers carry source citations and confidence scores. Sourcedocs.develophealth.ai/api-reference/provider-outreach-webhooksread 2026-09-29 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Basys.aiDeployment & Data Residency Basys.ai offers cloud deployment and can run its agentic AI locally for data sovereignty, packaged in secure containers, so a customer can keep it in its own environment. No hosting region is named. SourceBasys.ai, basys.ai/technologyread 2026-10-05 |
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Develop HealthDeployment & Data Residency No hosting region is published, and Develop Health names no region choice, customer environment or on premises option. Separate sandbox and production organizations let customers test against the API. Sourcedocs.develophealth.ai/introductionread 2026-09-29 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Basys.aiPrebuilt Agents, Templates & Packs Separately named products each do their own job. Utilization Management AI covers concurrent and retrospective review, discharge planning and length of stay, FWA Detection runs pattern detection and risk scoring on claims and authorizations, and prior authorization automation and risk adjustment coding round out the set. FWA Detection adds real time risk scoring, policy aware analysis and automated explanations, and risk adjustment reviews every member chart in about 3 minutes against 30 by hand. SourceBasys.ai, basys.ai/products and /payersread 2026-10-05 |
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Develop HealthPrebuilt Agents, Templates & Packs Benefit verification, prior authorization and PA status checks are separate API products. Prior authorization processing runs eligibility and benefit verification itself, so the three work as stages of one medication access workflow, not as products that stand alone. Develop Health publishes no templates or agent library. Sourcedocs.develophealth.ai/introductionread 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Basys.aiModel Flexibility & Routing Models run under strict version control, insulated from LLM updates, and Basys.ai calls its approach intelligent orchestration beyond LLMs. It names no provider and no way for customers to choose a model. SourceBasys.ai, basys.ai/technologyread 2026-10-05 |
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Develop HealthModel Flexibility & Routing An LLM ensemble reads the chart, and Develop Health names no model provider, model name or way for the customer to choose a model. Sourcedevelophealth.ai/life-sciencesread 2026-09-29 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Basys.aiAPIs, SDKs & MCP Extensibility The architecture is API first and HL7 FHIR compliant and works with other platforms, but Basys.ai publishes no API reference, endpoints or access path. SourceBasys.ai, basys.ai/technologyread 2026-10-05 |
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Develop HealthAPIs, SDKs & MCP Extensibility A public REST API with bearer tokens covers benefit verification, prior authorization (create, retrieve, cancel, feedback), PA status checks and provider authorization, with OpenAPI specs, signed webhooks, rate limits, a changelog and a sandbox with mock results. Programmatic access is enabled per organization. Sourcedocs.develophealth.ai/introductionread 2026-09-29 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Basys.aiTesting, Debugging & Optimization Basys.ai stress tests and audits its own models and reports 98 percent clinical accuracy for its automated decisions, but it names no way for a health plan to evaluate its own deployment. The stress tests look for where hallucinations or bias might appear under varied conditions, and Basys.ai draws training data from many demographics and clinical settings. SourceBasys.ai, basys.ai and the trustworthy AI blog postread 2026-10-05 |
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Develop HealthTesting, Debugging & Optimization The sandbox's mock results test the caller's integration, and the feedback endpoint sends notes to Develop Health's analytics without evaluating the agent. Develop Health names no evaluation harness, test set or quality gate for the agent's answers. Sourcedocs.develophealth.ai/api-reference/prior-authorization/post_feedbackread 2026-09-29 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Basys.aiBrowser & Computer Use Requests arrive by fax and portal intake, not through an agent operating an interface, and Basys.ai names no browser, desktop or computer control. Intake handles requests in many formats and several at a time. SourceBasys.ai, basys.ai/payersread 2026-10-05 |
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Develop HealthBrowser & Computer Use The agent works through EHR integration, electronic submission, fax, phone and messaging channels. Develop Health names no browser, desktop or computer control. A customer testimonial mentions portal work but names no mechanism. Sourcedevelophealth.ai/providerread 2026-09-29 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B Basys.ai |
D Develop Health |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales; no pricing published | Contact sales |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
— | — |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
Sales call | Sales call |
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Pricing verified When this pricing was last checked |
Neither vendor publishes a price for buyers.
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