Skip to content
Shivacha — Simplifying Tech Solutions
Shivacha AIReference architecture

Agentic claims intake with human approval

A reference design for an AI workflow that reads claim submissions, extracts and validates data, and prepares cases for adjusters.

This is a reference architecture describing how Shivacha approaches this class of system. It does not describe a specific client engagement and contains no client names or results.

Challenge

Claims teams receive emails, forms, photos and PDFs in inconsistent formats. Manual intake is slow, and fully automated decisions are neither appropriate nor desired.

Context

Applicable to insurers, warranty providers and any organisation processing document-heavy requests under audit requirements.

Approach

How we approach it

  1. 1

    Map the workflow

    Document each intake step, decision and exception with the team that performs it.

  2. 2

    Specialised agent steps

    Classification, extraction, policy lookup and completeness checks as separate, testable steps.

  3. 3

    Confidence routing

    Low-confidence fields and all decisions go to adjusters with context.

  4. 4

    Shadow mode

    Run alongside the existing process and compare before going live.

Architecture

System design

Technology

Agentic claims intake with human approval
4Intake
EmailWeb formUploads
3Agent workflow
ClassifierExtractorPolicy lookupCompleteness check
2Controls
Confidence thresholdsAdjuster reviewAudit log
1Systems
Policy adminClaims systemDocument store

Implementation

Key implementation elements

Document AI

Extraction with source highlighting for every field.

Typed tools

Narrow, validated tools for policy and claims system access.

Review console

Side-by-side document and extracted data view.

Trace storage

Every step recorded for audit and improvement.

Outcome

The intended result is faster, more consistent intake where adjusters spend their time on judgement rather than data entry — with every AI step visible and reviewable.

Lessons

  • Separate agent steps are easier to evaluate and improve than one large prompt.
  • Adjusters adopt tools that show sources, not just answers.
  • Shadow mode builds the evidence needed for any expansion of automation.

Next step

Discuss a similar project.

Building something like "Agentic claims intake with human approval"? Tell us about your goals and constraints and we will reply with an approach and next steps.

  • Senior engineer reads every enquiry
  • Reply within one business day
  • NDA on request

Prefer to talk first?

Book a 30-minute call, or message the nearest team on WhatsApp.

Book a Call

Your details are used only to reply to this enquiry.

Step 1 of 2Your details

Confidential. We reply within one business day. Privacy