Sold by: Practical Acceleration
A structured engagement that moves agentic AI from pilot to production on AWS for healthcare organizations, with built-in governance, security, and compliance for regulated workloads.
Overview
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Putting Agentic AI to Work in Healthcare
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Practical AI Accelerator
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Situations: Pilots, Alignment, and Governance
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Situations: Security, Capability, and Health Tech
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Outcomes We Drive: Governance and AWS Foundation
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Outcomes We Drive: Delivery, Impact, and Roadmap
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Engagement Process
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The Right Engagement for Your Goals
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Additional Options: Strategy and Adoption
Practical AI Accelerator: From Pilot to Production Agentic AI on AWS
Practical AI Accelerator is a fixed-scope professional services engagement for healthcare and life sciences organizations ready to move agentic AI from strategy or pilot to production on AWS. We work alongside your executive, technical, security, compliance, and operational stakeholders to establish an integrated AI governance model, a secure AWS foundation, and a prioritized use case with measurable clinical, operational, research, or commercial outcomes.
What You Get
The engagement guides one agentic AI use case through six defined phases - ideation, feasibility analysis, implementation, evaluation, deployment, and ongoing management. Deliverables include:
- An integrated AI governance framework tailored to your regulatory environment
- A secure, production-ready AWS architecture leveraging Amazon Bedrock and supporting services
- Security and compliance planning for HIPAA and other regulated workloads
- Stakeholder review sessions, documentation, and knowledge transfer
- Performance and adoption metrics tied to your agreed success criteria
- A prioritized roadmap for additional agentic AI use cases
- Reusable patterns and templates your team can apply independently
Optional modules address executive strategy alignment and organizational adoption planning.
Engagement Structure
A typical engagement runs 10 to 14 weeks depending on scope complexity and stakeholder availability. The delivery team includes senior practitioners with backgrounds in AWS architecture and healthcare technology leadership. The engagement begins with a structured scoping workshop to align on use case selection, success metrics, compliance requirements, and resource commitments before implementation begins.
AWS Integration
This service relates to Amazon Bedrock and supporting AWS services used in the agreed architecture, which may include AWS Identity and Access Management (IAM), AWS Key Management Service (AWS KMS), AWS CloudTrail, and Amazon CloudWatch. The exact architecture and service set are determined during scoping and implemented in or integrated with the customer's AWS environment.
Next Steps
Book a complimentary 30-minute scoping call to discuss your use case, timeline, and readiness. Visit https://practicalacceleration.com/practical-ai-accelerator/ for an engagement overview and deliverable summaries.
AWS service usage and any additional infrastructure deployed may result in charges separate from the AWS Marketplace professional services transaction; the customer is responsible for those AWS charges.
Highlights
- Move agentic AI to production: Establish governance, a secure AWS foundation, and a prioritized use case designed around measurable outcomes.
- Designed for healthcare, life sciences, and other regulated industries: Address security, compliance, evaluation, stakeholder review, documentation, and knowledge transfer for high-assurance workloads.
- Build lasting internal capability: Work alongside former AWS and healthcare leaders and leave with reusable patterns, metrics, and a prioritized agentic AI roadmap.
Details
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Delivery method
Deployed on AWS
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Resources
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Support
Vendor support
Engagement Support
Support is available by email at hello@practicalacceleration.com and through https://practicalacceleration.com/contact/ . We acknowledge AWS Marketplace inquiries and support requests within two business days.
Scoping and Onboarding
Every engagement begins with a structured scoping workshop to align on use case selection, success criteria, compliance requirements, timeline, and internal resource commitments. Following scoping, onboarding includes environment setup, stakeholder introductions, and kickoff documentation. A typical engagement runs 10 to 14 weeks from kickoff to final knowledge transfer. Engagement length may vary depending on scope.
What Support Covers
Support for the purchased engagement includes: onboarding assistance; scope and schedule questions; setup, architecture, and configuration guidance; technical troubleshooting for deliverables within the agreed scope; security considerations and AWS best practices; and general or engagement-billing inquiries. AWS Marketplace account or invoice issues may also require assistance from AWS Customer Service.
Documentation and Resources
Buyers receive engagement-specific setup, architecture, access, security, operating, and knowledge-transfer documentation. Offering information is available at https://practicalacceleration.com/practical-ai-accelerator/ .
This is a professional services engagement, not a managed service or 24x7 production support offering. Any post-engagement assistance or ongoing advisory support is scoped separately.