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Nalan for Insurance · Governed decision support

Nalan for Insurance sees the member journey
without losing the person inside the data.

Nalan for Insurance is being explored as a governed decision-support layer for longitudinal member context, defined risk indicators, claims review and underwriting preparation. Consequential decisions remain with authorised professionals.

Decision-support concept in developmentProduction use would require validation, regulatory review, fairness testing and human decision authority.

Nalan dressed as an insurance assistant and holding a shield-marked review document.
01Consent-led context02Explainable support03No autonomous adverse decisions

Answer first

What is Nalan for Insurance?

Nalan for Insurance is Doxyte's planned artificial intelligence (AI) decision-support concept for insurers and authorised partners. It is designed to organise appropriately consented health information, surface defined risk context, assist claims review and prepare underwriting summaries. It must not independently set a premium, deny coverage, reject a claim or determine care.

An Indian clinician and insurance professional review an abstract decision-support dashboard with Nalan visible on screen.

Decision support, in context

Help reviewers see the evidence behind the signal.

A review-ready view can bring approved member, clinical and claims context together while keeping uncertainty visible and consequential decisions with authorised professionals.

Designed around the workflow

What Nalan can help teams
understand and organise.

Each capability begins as a defined use case with its own data, validation, permissions and review requirements. Release status is confirmed during discovery.

01Member Intelligence

Create a permissioned longitudinal view of member health.

Organise appropriately authorised electronic medical record (EMR), personal health record (PHR), laboratory, medication, wearable, claims and hospitalisation information into a source-aware timeline.

  • Consent and purpose recorded
  • Source-linked timeline
  • Freshness indicators
  • Visible data gaps
02Risk Intelligence

Use an explainable health risk indicator instead of a hidden verdict.

A planned Nalan health risk indicator would estimate one defined question for a stated population and time horizon. It should show contributing factors, missing data, uncertainty, model version and intended use, and be validated and monitored before production deployment.

  • Defined question and time horizon
  • Contributing factors
  • Missing data and uncertainty
  • Validation and monitoring
Health score principleA health risk indicator is not a diagnosis or a general judgement about a person, and it must not be the sole basis for premium, coverage, underwriting or claims decisions.
03Claims Intelligence

Help reviewers find the claims that need attention.

Surface potential duplicate submissions, missing documents, coding inconsistencies, rule conflicts or clinical-appropriateness questions for authorised review.

Important boundaryA flag is not proof of duplication, fraud or clinical inappropriateness.
04Human-reviewed underwriting support

Prepare the context. Keep the decision human.

Draft underwriting summaries, identify missing information, support scenario analysis and provide governed portfolio views.

  • Review-ready summary
  • Visible source and uncertainty
  • Clarification questions
  • Documented human rationale

Explainable risk indicator

A defined health risk indicator can inform review without replacing it.

Nalan's planned health risk indicator is designed for one declared question, population and time horizon. It would retain permission, source context, contributing factors, missing data, uncertainty and model version so an authorised reviewer can understand both the intended use and the limitations of the estimate.

Nalan as an insurance review assistant holding a shield-marked document.
01

One defined question

Name the outcome, intended population and time horizon instead of presenting a universal score.

02

Visible contributors

Show relevant factors, missing information, uncertainty and the model version behind the estimate.

03

Validated and monitored

Assess calibration, performance and disparate outcomes before use and throughout the deployment.

04

Human authority

An authorised professional remains responsible for claims, premium, coverage and underwriting decisions.

05

Correction and challenge

Provide appropriate routes to understand, correct and challenge information used in a consequential review.

06

No premium promise

Doxyte does not promise a lower premium; outcomes remain with the authorised insurer under applicable rules.

A governed path to production

Start with the use case.
Keep every handoff visible.

01

Establish permission

Confirm the member permission, lawful basis, authorised role and exact intended use.

02

Assemble context

Match approved records while keeping provenance, freshness and limitations visible.

03

Select a validated workflow

Use only models and rules approved for the intended population and purpose.

04

Explain the output

Show relevant factors, uncertainty, missing information and appropriate limitations.

05

Require human review

A qualified claims, clinical or underwriting professional makes the consequential decision.

06

Record and govern

Retain an audit trail, support correction or appeal pathways and monitor performance and fairness.

Governance is a product capability

Designed for accountable intelligence.

These boundaries guide product design and discovery. The final controls must be validated for the organisation, population, workflow and applicable obligations before production use.

Read Doxyte's security approach
01

Consent and purpose limitation

Health information is accessed only with appropriate authorisation and for the declared purpose.

02

Human decision authority

Nalan must not autonomously deny a claim, set a premium, refuse coverage or recommend withholding care.

03

Fairness and performance

Accuracy, calibration and disparate outcomes are evaluated across relevant populations before and during use.

04

Explanation and challenge

Reviewers and affected members have appropriate routes to understand, correct and challenge information.

05

Data minimisation

Use only information necessary for the approved workflow and apply appropriate retention controls.

06

No prohibited inference

Do not infer or use protected or otherwise prohibited characteristics for decision-making.

Questions, answered plainly

Before Nalan enters the workflow.

What is member intelligence in health insurance?

It is an organised, permissioned view of relevant longitudinal health and claims information that helps authorised teams understand context without treating any single record as the complete story.

Can Nalan set premiums or deny claims?

No. Nalan is designed as decision support. Premium, coverage and claims decisions remain with authorised professionals operating under applicable rules and documented governance.

What is a Nalan health risk indicator?

It would be a model-generated estimate for one defined question, population and time horizon. It is not a diagnosis or a general judgement about a person's health. A production use would need clear contributing factors, missing data and uncertainty information, validation, monitoring and human review.

Can a Nalan risk indicator reduce my premium?

Doxyte does not promise a lower premium. Premium and underwriting outcomes are determined by the authorised insurer under applicable rules and governance. Nalan is being designed only to organise permissioned evidence and surface reviewable signals.

How does Claims Intelligence identify duplicates or inappropriate claims?

It can compare approved claim attributes, documents and configured rules to surface items for review. A flag is not proof of duplication, fraud or clinical inappropriateness.

How could Nalan work with the ABDM Health Claims Exchange?

A future implementation could connect to supported Ayushman Bharat Digital Mission (ABDM) Health Claims Exchange (HCX) workflows through documented interfaces and permissions. The exact transaction scope, conformance and production status would need to be validated before launch.

What information can be used?

Only information appropriately authorised for the declared workflow. Potential sources include supported EMR, PHR, laboratory, medication, wearable, claims and hospitalisation records.

Is Nalan for Insurance available today?

It is a solution concept in development. Doxyte can discuss a governed design partnership, but every capability and production boundary must be confirmed before use.

Responsible intelligence for consequential workflows

Start with one defined use case, an explainable health indicator and measurable governance.

Speak with Doxyte about a consent-led member, claims or underwriting-support design partnership.

Discuss a design partnership