AccessHub
The AI-powered hub operations suite.
AccessHub modernizes every stage of hub work. Purpose-built apps share a common AI layer (Hub AI), a canonical case model, and an audit-ready control plane.
Intake → Investigate → Coordinate → Act → Learn
Every AccessHub app plugs into the same case lifecycle — a canonical model your whole hub shares.
Every hub workflow, AI-native
Each app is purposeful and self-contained — together, they replace the stack of point tools most hubs run today.
Multi-channel intake that turns fax, portal, email, API, and EHR referrals into clean, structured cases — automatically.
A unified case workspace with AI-assisted triage, risk scoring, next-best-action, and an insights command center for leadership.
A payer directory, policy library, plan explorer, and coverage posture intelligence — surfaced where access decisions happen.
Copay forecasting, foundation matching, PAP eligibility, and barrier heatmaps — so patients don't abandon therapy over cost.
Territory management, account risk scoring, HCP heatmaps, and action planning for field reimbursement managers and account teams.
Specialty pharmacy network visibility, referral funnel analytics, SLA dashboards, exception management, and allocation planning.
Executive dashboards, GTN analysis, copay forecasting, denial impact modeling, and budget governance for patient services programs.
Program configuration, HCP network management, dataset registry, admin controls, and audit trails for enterprise hub operations.
A clean, secure web portal for prescribers and clinic coordinators — enrollments, fax upload, task inbox, messaging, adherence, and notifications.
Hub AI powers the suite
Hub AI is the shared AI platform under every AccessHub app — intake, risk, NBA, copilots, data quality, HITL, and governance — with model registry, prompt studio, and audit built in.
- Shared AI services. Intake AI, Risk, NBA, Routing, GenAI Copilot, Data Quality — reusable across apps.
- Unified HITL. One review-queue framework powers every app.
- Model & prompt registry. Versioning, A/B testing, rollback across the stack.
- Closed-loop learning. Outcomes route back into retraining and rule tuning.
The agents that run inside this solution
Each agent operates inside explicit boundaries — with confidence thresholds, audit logs, and human escalation built in.
Pick an app — we'll show it working on your scenarios.
A focused 45-minute demo against patient services scenarios that mirror your environment.