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Case study | Artificial Intelligence
From an Honest Score to One Live AI Workflow
01
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
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
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
04
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
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
Document intake modelsEvaluation setsHuman review queues
Node.jsPythonREST APIs
AWSLocked environments
Role-based accessAudit on every write-back
Customer
An assessment that ended in a live workflow — not a slide that never reached operations.
Tell us what is stuck. A senior person replies, and we will say plainly whether we are the right team.