Healthcare AI Needs Limbs, Not Just Brains

This piece is written by GK Brar, CTO @ Plenful. GK leads our technology org. Follow along for his take on why healthcare AI falls short today, and how Plenful is creating change.

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The real moat in health tech won't be the smartest model. It will be the deepest connectivity, the most durable write paths, and the most reliable execution across systems of record. Capital markets don't reward intelligence — they reward execution. Execution needs intelligence, but it also needs limbs. And healthcare has a major problem: everyone is racing to build brains while no one builds limbs.

The market is flooded with reasoning machines

Prior authorization copilots, AI scribes, diagnostic models. And everyone wants to deploy them into healthcare, for good reason — it's a heavily regulated industry, deeply lagging in technology adoption, with enormous societal impact. But most of these systems terminate at recommendation. They enable humans at best, and at worst, they become another voice in a clinician's head.

Where are the agents that can actually submit the prior authorization, interpret the denial, correct the issue, and resubmit without human babysitting? Where are the systems that don't just recommend action, but reliably take it?

They are stranded behind the walls of healthcare infrastructure. The APIs don't work or don't exist. Protocols were never adopted. Data is fragmented and shapeless. And many times, that fragmentation is a feature, not a bug.

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As intelligence gets cheaper, limbs become more valuable

As the cost of intelligence continues to fall with every new generation of models, the importance of limbs rises. Intelligence will compound on top of those limbs, not replace them.

And AI itself must be used to build them.

What that looks like in practice

Use RPA where portals are brittle and human-only. Use reasoning models where APIs return incomplete or inconsistent data. Use adaptive agents to interpret denials, correct payloads, and retry submissions. These limbs cannot be static — they must have reflexes, because healthcare systems are fragmented, exception-ridden, and constantly changing.

Execution compounds

Without limbs, intelligence is impressive demos and no outcomes. Execution, on the other hand, compounds. Every action generates data, every data point strengthens memory, better memory improves judgment, and better judgment drives better action.

The more limbs you build, and the more nimble they are, the faster intelligence compounds.

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The change we're creating at Plenful‍

At Plenful, we built the execution layer that health tech has been missing. AI that doesn't just surface recommendations, but completes the work. From end-to-end 340B audit optimization to financial reconciliation to intake authorization, our platform handles the entire workflow, so your team can focus on moving patient care forward.

If you're exploring ways to adopt AI technology that makes a meaningful impact, please get in touch with our team.

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