Incedo Agentic AI for Patient Support Services

Transform Patient Support Operations into a Scalable Access Engine

Patient Support Services are critical to helping patients start and stay on therapy—but many programs still depend on fragmented workflows, manual case handling, and labor-intensive coordination across pharmacies, payers, providers, and support teams. As enrollment grows, complexity increases and operating models become harder to scale.

Incedo Agentic AI for Patient Support Services helps life sciences organizations modernize support operations with intelligent automation that works across the full patient journey. From first intake through access resolution and ongoing follow-up, the platform reduces manual effort, accelerates turnaround times, and improves the experience for patients, providers, and internal teams.

Why Traditional Support Models Struggle to Scale

Most patient support programs operate across disconnected systems, emails, portals, call centers, and document-heavy processes. Teams spend significant time rekeying data, validating benefits, tracking prior authorizations, following up on missing information, and coordinating next steps between external stakeholders.

This creates delays in therapy start, inconsistent service experiences, higher operating cost, and the need to add headcount as volumes rise.

How the Platform Creates Value

The platform uses agentic AI to automate and orchestrate high-volume support workflows across patient access operations. It can triage incoming requests, extract clinical and insurance information from faxes, forms, emails, and other unstructured documents, route cases intelligently, and coordinate multi-step actions across pharmacy, payer, and provider ecosystems.

Built-in workflow intelligence supports benefits verification, prior authorization status tracking, exception handling, patient outreach, follow-up reminders, and case progression monitoring. Human teams remain in control of escalations, approvals, and sensitive decisions while automation handles repetitive operational tasks.

Built Using AWS Services

The solution is built on AWS and can leverage Amazon Bedrock for generative AI reasoning and intelligent agents, Amazon Textract for document extraction, Amazon Comprehend for clinical and insurance language understanding, Amazon SageMaker for predictive models and optimization, Amazon S3 for secure document storage, AWS Lambda for workflow automation, Amazon EventBridge for orchestration, and Amazon QuickSight for operational dashboards and service analytics.

What This Enables

Organizations gain faster case intake, reduced manual processing, quicker access decisions, better prior authorization visibility, proactive patient follow-up, improved service consistency, scalable operations, and stronger productivity without proportional staffing increases.

Why It Matters

With the right automation in place, life sciences organizations can improve therapy access, reduce abandonment risk, enhance patient and provider experience, control support program costs, and build a future-ready operating model for growing patient demand.