Wisecube AI

"A single do-everything model in healthcare is a black box."

That's how Tal Amitay, VP of Engineering at Brook Health, describes monolithic healthcare AI systems.

Brook took a different approach.

Instead of one model handling everything, they built a multi-agent architecture where translation, risk scoring, behavioral coaching, and escalation workflows operate independently — with separate guardrails and evaluation layers.

Because in healthcare, one failure should not compromise the entire system.

Their deployment included:
→ input guardrails for emergencies, self-harm, and adversarial prompts
→ output controls preventing unsafe or biased responses
→ governance defined before deployment, not after
→ human escalation paths with full clinical context transfer

The result is not slower innovation.
It's safer iteration at production scale.

Full Brook Health case study and webinar: https://pacific.ai/responsible-llm-deployment-in-practice-at-brook-health/

Most AI governance work still starts the same way: opening 20 browser tabs and trying to figure out which policies your organisation actually needs.

EU AI Act.
NIST.
ISO.
US regulations.
Internal governance requirements.

Pacific AI’s 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗣𝗼𝗹𝗶𝗰𝘆 𝗦𝘂𝗶𝘁𝗲 gives teams 250+ ready-to-use policies already mapped across major AI frameworks and regulations.

Instead of starting from scratch, you start from an operational baseline.

Explore the Policy Suite → https://pacific.ai/ai-policies/

Most teams think they’re doing AI governance. In reality, they have policies and documents, but not a working system behind them. The gap shows up when you try to answer simple questions: what AI systems are actually in production, who owns them, what risks are tracked, and what is being monitored on an ongoing basis.

That’s where governance usually breaks down. Not because teams ignore it, but because it never becomes operational.

We built a simple way to check this. Pacific AI’s 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗤𝘂𝗶𝘇 gives you a quick snapshot of your actual maturity, highlights the gaps, and shows what to fix first.

Take the quiz → https://pacific.ai/ai-governance-quiz/