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Using NairoGet StartedIntroduction to Nairo

Introduction to Nairo

Nairo is an AI workspace for insurance teams to review documents, work with uploaded company materials and configured workspace context, and support repeatable insurance tasks.

It helps users analyse submissions, policies, wordings, claims files and internal materials with AI assistance, while keeping human experts responsible for important business decisions.

Nairo is currently built for private pilots and evaluation workspaces with insurance organisations. The product is designed for teams that want to apply AI to real operational work, not just experiment with a generic chatbot.

What Nairo helps with today

Nairo helps insurance teams work faster and more consistently across document-heavy review tasks.

Depending on the workspace configuration, teams can use Nairo to:

  • Ask questions over uploaded documents and configured workspace materials
  • Review insurance materials with AI assistance
  • Use predefined Experts for recurring tasks
  • Run Actions such as summaries, comparisons and structured checks
  • Organise work in Projects and other document-based review surfaces
  • Review AI-generated outputs before using them in business workflows

The current focus is practical support for insurance work: helping users find, review, compare and structure information more efficiently.

Who Nairo is for

Nairo is built for insurance organisations that rely on expert review, operational consistency and document-heavy work.

Typical users include:

  • Underwriting teams
  • Claims teams
  • MGAs
  • Brokers
  • Agencies
  • Carriers
  • Audit and compliance teams

Nairo is especially useful for teams where relevant information is spread across documents, emails, spreadsheets, policy wordings and internal material repositories.

Why insurance teams use Nairo

Insurance work is document-heavy, context-heavy and judgment-heavy.

Teams often need to answer questions such as:

  • Does this submission fit our appetite?
  • What information is missing?
  • How does this wording compare with another version?
  • What are the key exclusions or conditions?
  • What does this claims file say?
  • What should be reviewed before escalating this case?
  • What internal guidance is relevant here?

Nairo helps teams bring relevant material into one workspace and use AI to support review, analysis and preparation.

How Nairo works

A typical workflow in Nairo has four steps.

1. Add relevant material

Users work with documents and reference materials such as submission packages, policy wordings, claims files, internal guidelines, spreadsheets and other business materials.

2. Ask questions or run structured tasks

Users can interact with the material through the Assistant, or use predefined Experts and Actions for more repeatable tasks.

Examples include summarising a document, comparing wordings, identifying missing information or preparing a first review.

3. Review the output

Nairo provides AI-generated assistance. Users remain responsible for reviewing the output before using it for business decisions.

The goal is to support expert work, not to remove expert judgment.

4. Use the output in the team’s workflow

The result can support underwriting review, claims review, policy comparison, broker communication, audit preparation or internal analysis.

What Nairo is not

Nairo is not an autonomous underwriting or claims decision system.

It does not replace underwriters, claims handlers, brokers or compliance teams.

It should not be treated as a source of truth without human review.

It is not just a generic chatbot. The product is designed around insurance work, configured workspace context and repeatable expert tasks.

Core ideas

Source-grounded work

Nairo is designed to help users work from the documents and materials available in the workspace.

Human review

Important outputs should be reviewed by a human expert before being used for business-critical decisions.

Insurance-native work

Nairo is organised around insurance work such as underwriting review, claims review, policy comparison, appetite checks and audit preparation.

Configured context

Nairo helps teams use their own uploaded materials, guidance and configured context when working with AI.

Workspace separation

Nairo is designed around separate customer workspaces. Access, users and available materials are managed at workspace level.

Product direction

Nairo’s longer-term direction is to help insurance organisations preserve the reasoning behind their decisions.

Many insurance teams lose valuable context because reasoning lives in emails, documents, conversations or individual experience. Over time, Nairo aims to help teams capture useful review logic, corrections, decisions and rationale so that materials can be reused more systematically.

This is product direction, not a claim that all decision-memory capabilities are available today. The current focus is to provide a reliable AI workspace for reviewing insurance materials, applying configured workspace context and supporting repeatable work.

Starting with Nairo

Most teams start with a focused pilot.

A good pilot usually defines:

  • The team involved
  • The first use case to support
  • The documents and reference materials required
  • The expected users
  • The review process
  • The success criteria

Good starting points include:

  • Underwriting submission review
  • Appetite checks
  • Policy wording comparison
  • Claims file summarisation
  • Audit preparation
  • Internal reference assistance

For setup and pilot planning, see Workspace Setup. For a practical first use case, see Underwriting Review.

How Nairo Works