Overview
Healthcare and life sciences AI initiatives stall not because models don't work, but because the governance, lineage, and audit-readiness needed to operate them in regulated environments is missing. PHI handling, GxP controls, 21 CFR Part 11 audit trails, drift monitoring, bias indicators, explainability, and AI Trust, Risk & Security Management (AI TRiSM) — when these are bolted on after the fact, AI projects fail to scale from pilot to production.
Intuitive AI Workbench is a purpose-built suite of accelerators and a delivery methodology that activates governance, lineage, and audit-readiness from day one. Built on a workspace-and-intent model where every project declares whether it is experimentation, regulated production, rapid prototyping, or enterprise deployment, the accelerators automatically activate the right guardrails, templates, RBAC policies, approval gates, and lifecycle controls for that intent. Teams move fast in experimentation. Regulated projects enforce the strict controls auditors require.
This Marketplace listing offers three productized engagement tiers — choose the one that matches where you are.
ASSESSMENT (2 weeks). A diagnostic for organizations that have AI work happening across teams but cannot answer audit questions about lineage, drift, RBAC, or PHI handling. We inventory your current AI/ML estate, score governance maturity against a 10-domain healthcare-AI rubric covering PHI handling, lineage, RBAC, audit trails, drift monitoring, explainability, bias monitoring, approval workflows, incident response, and AI TRiSM — aligned to HIPAA, GxP, 21 CFR Part 11, FDA SaMD, and EU AI Act — and produce a risk-tiered gap analysis with a recommended pilot use case and commercial proposal. Delivered remotely. Ideal entry point.
FOUNDATION PILOT (4 weeks). One real model brought end-to-end onto the AI Workbench reference governance architecture: data ingestion, validation, feature engineering, training, evaluation, deployment, and continuous monitoring. Every stage is governed by intent-aware policies enforced through our accelerators. The pilot produces auto-generated model cards, lineage graphs, approval histories, drift dashboards, and a simulated audit walkthrough demonstrating that the question "what data trained this model" can be answered in 60 seconds. Ends with a wave-grouped roadmap for applying the accelerators across the rest of your estate.
PRODUCTION ROLLOUT PILOT (8 weeks). For organizations ready to onboard 5 to 10 models into the AI Workbench reference governance architecture across at least two intents (regulated production plus experimentation), with team enablement for 10 to 20 data scientists, ML engineers, and governance leads. Customizes the accelerator templates to your standards, wires RBAC to your identity provider, and delivers an operational runbook for ongoing AI governance ownership plus reference architecture for scaling beyond the pilot.
WHY INTUITIVE AI WORKBENCH:
Intent-driven governance. Workspaces declare what kind of work happens inside them. Guardrails, RBAC, approval gates, and lifecycle policies automatically match — strict for regulated production, flexible for experimentation. No bolt-on governance.
Audit-ready by construction. Model cards, lineage graphs, approval histories, and compliance artifacts are generated automatically as work happens. When the auditor asks, the answer is already there.
Accelerator-led, not platform-locked. AI Workbench accelerators sit on top of your existing AI stack — SageMaker, Bedrock, open-source frameworks, or proprietary tools. We bring intent-driven governance without forcing a platform rip-and-replace.
Pre-flight checks before compute. Every pipeline run validates data readiness, schema compatibility, environment configuration, permissions, cost thresholds, and compliance requirements before consuming compute. Issues caught early.
Built for healthcare reality. Designed around PHI handling, HIPAA, GxP, 21 CFR Part 11, FDA SaMD risk classifications, EU AI Act tiers, AI TRiSM, and the audit posture regulators actually request.
Delivered by Intuitive's AI and data engineering team — 100+ enterprise engagements, AWS Advanced Tier Services Partner, ISO 27001 and SOC 2 Type II certified.
Highlights
- 1. Intent-driven governance — strict for regulated, flexible for experimentation 2. Auto-generated model cards, lineage graphs, audit trails — no manual work 3. Pre-flight checks catch data, schema, and compliance issues before compute 4. Accelerator-led: sits on SageMaker, Bedrock, open-source, or hybrid stacks 5. Three engagement tiers from 2-week diagnostic to 8-week production rollout
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For pre-purchase questions about engagement scope, AWS Marketplace Private Offers, or healthcare-AI governance fit, contact sales@intuitive.ai or use the "Contact Seller" link on this listing. We respond to pre-sales inquiries within 1 business day.
Once your engagement begins, a named Engagement Lead is assigned at kickoff and serves as your single-threaded point of contact. You receive weekly steering reviews, a shared RAID log, and direct access to delivery engineers throughout the engagement.
Active engagement support channels: • Email: sales@intuitive.ai and aws-partner@intuitive.ai • Web: https://www.intuitive.ai • Engagement Lead: assigned at kickoff with direct phone, email, and chat access
Response Time SLAs during the engagement: • Severity 1 (engagement-blocking): 30 minutes • Severity 2 (significant impact, workaround available): 4 hours • Severity 3 (minor impact): 1 business day • Severity 4 (informational, requests): 2 business days
Healthcare-specific commitments: All engagements honor your HIPAA Business Associate Agreement requirements. Intuitive will execute a BAA prior to handling any PHI. Engagements involving GxP-regulated systems follow your internal change-control and validation processes.
Post-engagement support: Customers can engage Intuitive's AI Operations managed services for ongoing AI governance operations, model monitoring, drift response, and governance reviews using the AI Workbench accelerator suite. Pricing is published separately on AWS Marketplace.
Escalation path: If a Severity 1 issue is not acknowledged within the SLA window, escalate to the Director of AI & Data Engineering at the contact provided in your kickoff packet.
Languages: English. Delivered remotely from Intuitive's global delivery centers across North America, EMEA, and APAC with business-hours overlap in your primary region.
For partnership, alliance, or co-sell inquiries, contact alliance@intuitive.ai .