AgentPlat

Success stories / Healthcare

Bring AI into the patient journey. Keep trust at the center.

Kidney Connective helps people navigate the path to a transplant center. AgentPlat supports the AI behind that journey with a controlled execution layer, so useful assistance comes with a record of how it was produced.

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The opportunity

Make a complex journey easier to navigate.

Patient information arrives in documents, messages and forms. Center matching adds another layer of complexity: suggestions must stay within the product’s eligibility rules. The opportunity is to make that information easier to work with while keeping the boundaries of each AI task clear.

How AgentPlat contributes

The controls behind a more helpful experience.

Kidney Connective integrates AgentPlat’s audit tools into its AI runtime. That runtime supports two defined operations: extracting profile facts and ranking eligible centers. The application combines this execution record with its own matching rules and review experience.

01

Make intake easier to complete

The profile assistant turns uploaded information into suggested form values with supporting evidence. AgentPlat’s audit integration supports the execution record behind that assistance.

02

Keep matching within the rules

AI ranks a shortlist of eligible centers. Kidney Connective preserves hard exclusions and falls back to its deterministic recommendations if the AI step fails.

03

Make AI activity traceable

The runtime records the operation, model, policy version, input and output fingerprints, and completion or failure. The team has a concrete record to investigate.

The product value

Useful AI, with a clear role in the product.

AgentPlat helps Kidney Connective connect AI assistance to an accountable product workflow. The value is practical: support for completing profiles and exploring eligible centers, with execution evidence available behind the experience. Clinical decisions remain with the people responsible for care.

  1. 01Patient information
  2. 02Controlled AI task
  3. 03Suggestions for review

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Building a product where trust matters?

Let’s identify where AI can help your users and design the execution controls that support it.

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