Aether — AI Readiness to First Production Workflow

From an Honest Score to One Live AI Workflow

01

Overview

A regional insurer had a list of AI ideas and no agreed first release. Suraket ran a structured AI readiness assessment across data access, quality, owners, and risk, then took a single claims-intake workflow to production instead of funding a platform that nobody could operate. 11 weeks Time from assessment to live workflow

Manual intake handling reduced by

48%

Use cases parked as not ready

7 of 12

02

Challenge

Leadership had approved an AI budget. Teams disagreed on where to start. Data sat in three claims systems with no named owner, and a vendor demo had already created false urgency. Without a readiness score and a written non-goal list, the next spend would have been another unused pilot.

03

Solution

Suraket mapped people, systems, and data quality for twelve candidate use cases, scored them against access, risk, and a measurable job, and selected one production slice: first-notice-of-loss intake with human review. The assessment document became the acceptance matrix. Engineering then built the workflow, evaluation set, and fallback path. Ideas that failed the score were written down as later work, not hidden.

Customer

Regional Insurance Carrier

Industry

Artificial Intelligence

Services delivered

AI Readiness Assessment
AI Strategy & Use-Case Sequencing
Workflow Design
AI Integration
QA on Real Claims Examples
Cloud Deployment
Operating Cadence After Go-Live

Built with

Document intake models · Node.js · AWS

Discuss a similar project

04

The results

12

use cases scored with owners and data gaps

1

production workflow live in 11 weeks

48%

less manual intake handling on the first slice

7

ideas formally parked instead of silently funded

✓

Named owner for quality and model cost after launch

05

Services delivered

AI Readiness Assessment

AI Strategy & Use-Case Sequencing

Workflow Design

AI Integration

QA on Real Claims Examples

Cloud Deployment

Operating Cadence After Go-Live

06

Technology stack

Artificial Intelligence

Document intake modelsEvaluation setsHuman review queues

Backend

Node.jsPythonREST APIs

Cloud

AWSLocked environments

Security

Role-based accessAudit on every write-back

Customer

Regional Insurance Carrier

An assessment that ended in a live workflow — not a slide that never reached operations.

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