Agentic AI is a HIPAA-compliant, intelligent assistant trained on your hospital’s policies, protocols, and training content. It gives zero-hallucination responses backed by verified sources and understands unit-specific needs.

Can it adapt to our hospital’s unique protocols?

Yes. Agentic AI only responds using current, version-controlled documents from your system. No generic or outdated info.

How long does it take to implement?

A basic pilot can be set up within 2–3 weeks. Full-scale deployment, depending on the number of documents and integrations needed, typically takes 4–6 weeks with parallel testing and onboarding.

What if our policies change frequently?

Agentic AI is built with version-awareness and source tracking, ensuring only the latest documents are used in responses.

Will I get the recording if I miss the session?

Absolutely! Register now and the full recording will be shared after the webinar, even if you can't attend live.

Building AI Healthcare Products That Auditors Love

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Meet #Our Experts#

Chaitanya Goyal

Head of Product, Sprinto

Manisha Khadge

CMO, Mindbowser

Webinar #Overview#

How Mindbowser + Sprinto Help You Design Compliance-Ready AI Healthcare Platforms and Get Certified Faster

AI can unlock massive speed and efficiency in healthcare but when it’s not designed correctly, it becomes a liability during audits, security reviews, and enterprise sales cycles. Hospitals, payers, and regulators are no longer asking if you use AI. They’re asking how your AI handles PHI, governs models and prompts, logs decisions, and proves compliance.

This joint webinar by Mindbowser and Sprinto shows how healthtech teams are building AI-driven healthcare products that are audit-ready by design by combining:
• Compliance-first AI product engineering (Mindbowser)

• Automated certification and continuous compliance (Sprinto)

• So teams can move faster without audit surprises or certification delays.

This webinar will walk you through:
• Why AI healthcare products fail audits even when the models “work”

• Compliance risks unique to AI, LLMs, and PHI-heavy data pipelines

• How auditors evaluate AI workflows, prompts, and data lineage

• Designing AI architectures that support HIPAA, SOC 2, ISO, and HITRUST

• How Mindbowser reduces audit friction through compliance-first AI design

• How Sprinto accelerates certification with automated evidence and controls

• A real-world flow from AI product design → audit readiness → enterprise adoption

Whether you’re building a new AI healthcare platform or adding AI to an existing product, you’ll leave with a clear, practical blueprint for building AI systems auditors trust and buyers approve.

Who Can Benefit from This Webinar?

✔️ Healthtech startup founders building AI-led products

✔️ AI-first digital health founders preparing for enterprise adoption

✔️ CTOs, VPs of Engineering, and Platform Leaders

✔️ Teams building AI copilots, clinical AI, and RCM automation

✔️ Product teams developing EHR-integrated platforms (Epic, Athena, Cerner)

✔️ Teams managing PHI-heavy AI workflows using LLMs, analytics, and agents

What All We Have Covered in This Webinar?

📌 Why compliance is now an AI architecture problem, not just a checklist

📌 How auditors assess AI workflows, prompts, and data lineage

📌 What makes LLM-based healthcare products HIPAA-compliant and what breaks them

📌 How early compliance planning accelerates SOC 2 readiness

📌 Common AI compliance mistakes that delay audits and enterprise deals

📌 Why audit readiness is a prerequisite for hospital and enterprise trust

Frequently Asked Questions

1 Can LLMs be used in healthcare and still remain HIPAA-compliant?

Yes but only under specific architectural and governance conditions. This session breaks down what those conditions are and how teams are approaching them in real-world healthcare products.

2 Do auditors actually look at prompt engineering and AI workflows?

Increasingly, yes. Auditors are paying closer attention to how AI systems are designed, governed, and controlled including areas many teams overlook. We’ll explain where scrutiny is increasing and why.

3 When should AI startups start planning for SOC 2 and other certifications?

Sooner than most teams expect. Timing plays a major role in audit outcomes, cost, and speed. We’ll share guidance on when planning should begin and what decisions matter early.

4 Why do AI healthcare products fail audits even when the technology works?

Because audits focus on more than model performance. This session explores the non-obvious reasons AI products run into trouble during reviews and how teams are addressing them.

5 Does audit readiness really impact enterprise and hospital adoption?

Yes. Compliance posture often influences vendor approvals earlier than teams realize. We’ll discuss how audit outcomes shape trust, buying decisions, and sales velocity.

6 Will the session be recorded?

Yes, you’ll receive the full session recording once you register, so you can watch it even if you can’t attend live.

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Building AI Healthcare Products That Auditors Love