Solutions Architect Brief: Clarion Health Systems

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The Scenario

You are the first Solutions Architect at mpathic.ai, a clinician-founded AI safety company. mpathic delivers end-to-end safety evaluation across the AI model lifecycle — including clinician-led red teaming, human data and benchmarking, ground truth datasets, real-time safety monitoring (Observing Agent API), and the mpathic Studio analytics platform. Your customers are ML platform teams, safety/alignment leaders, and data organizations at companies building and deploying AI in high-risk settings.

You have been brought into a deal by mpathic's Head of Sales. Here is the situation:

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The Prospect: Clarion Health Systems

Clarion Health Systems is a large, US-based digital health company that operates an AI-powered clinical decision support platform used by over 40,000 healthcare providers. Their platform helps clinicians with differential diagnosis suggestions, treatment planning, and patient communication. Clarion has 400+ employees, a 60-person engineering org, and a dedicated 8-person AI Safety & Quality team.

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The Problem

Clarion's AI Safety & Quality team has flagged a growing concern: as they've expanded their AI models to handle more sensitive clinical scenarios (mental health screening, pediatric care guidance, substance use risk assessment), they've seen a sharp increase in edge-case failures. In the past quarter, their internal review process identified 47 instances where the AI provided responses that their clinical advisory board rated as "potentially harmful" — up from 12 the prior quarter.

Their current safety evaluation process is largely manual: a team of 3 internal clinicians reviews a sample of flagged conversations weekly. This approach is not scaling. Clarion's VP of Engineering and their Head of AI Safety have both expressed urgency about improving their evaluation and monitoring infrastructure before their next major model release (scheduled for 10 weeks from now).

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Current Infrastructure

• Their AI platform runs on AWS (EKS, RDS, S3, CloudWatch). All patient data must remain within their HIPAA-compliant VPC.
• They have an existing in-house evaluation framework (built over 14 months by their ML platform team) that runs automated safety checks on model outputs using a rules-based taxonomy. The ML platform team lead is proud of this work and considers it a competitive advantage.
• Their clinical advisory board sets safety standards but has no direct involvement in the technical evaluation pipeline.
• The AI Safety & Quality team reports to the VP of Engineering, but budget authority for new vendor tools sits with the Chief Medical Officer's office.
• Clarion recently completed SOC 2 Type II certification and will not engage with vendors who cannot demonstrate equivalent compliance.

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Deal Dynamics

Stakeholder	Role	Disposition
Dr. Priya Nair	Head of AI Safety	Internal champion. Initiated outreach to mpathic after a conference presentation on clinician-led red teaming.
Marcus Chen	ML Platform Lead	Cautious. His team built the existing evaluation framework and views external tools as a potential threat to their roadmap. Has not yet agreed to a technical evaluation meeting.
Sarah Kim	VP of Engineering	Wants a solution fast but is concerned about integration complexity and timeline risk.
CMO's Office	Budget Authority	Controls budget but will defer to Dr. Nair's technical recommendation.

From mpathic's Head of Sales: "This could be a six-figure annual deal. Dr. Nair is bought in, but we need Marcus on board or this stalls. Sarah needs to believe we won't slow down their launch."

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Constraints

Your solution and strategy must honor these constraints. They reflect Clarion's real operating environment.

HIPAA + VPC Boundary All patient data must remain within Clarion's HIPAA-compliant AWS VPC. No data can leave their environment for processing, evaluation, or monitoring. Your architecture must account for this — any component that requires data egress is a non-starter.

Augment, Don't Replace Clarion's ML platform team has invested 14 months building their in-house evaluation framework. Your proposed solution must augment and extend their existing infrastructure — not replace it. Marcus Chen's support depends on this. Any architecture that positions mpathic as a replacement for their framework will kill the deal.

4-Week POC Window Clarion's next major model release is in 10 weeks. Any POC or pilot must demonstrate measurable value within 4 weeks to be approved before the release. Scope your technical validation plan accordingly — a 12-week pilot will not get approved.

Multi-Stakeholder Budget Authority Budget sits with the CMO's office, but technical approval requires the VP of Engineering's sign-off. Dr. Nair (Head of AI Safety) is the champion but does not control budget or technical approval. Your deal strategy must navigate all three.