Ayin Iris

Claims analysts were rebuilding the same story out of email, chat, and CIM before they could even answer a question. Iris is a live inquiry and case product: one place to work the problem, with notes and claim context attached, and PHI scoped correctly by role.

Role
Principal Product Designer (end-to-end)
Team
AI Accelerator · Claims Operations
When
2026 · shipped & in use
Impact
$250K+/yr operational savings
$250K+
Annual savings from consolidated claim Q&A
~40%
Faster first response on operational inquiries
1 surface
Queue, case, notes, and claim context together
PHI-aware
Role scope on Claims, Authorizations, related entities
$250K+/yrCase managementVue 3 · QuasarMulti-carrier
Ayin Iris inquiry queue
Inquiry queue: work items tied to claims, members, and carriers under workspace scope

The problem

Claims teams spent most of their day answering the same questions: Where is this claim? Is the auth linked? What’s the COB story? Is the member eligible? The answers already existed. They just lived in CIM, email threads, chat, and someone’s head.

I took that pattern to ops supervisors and plan leadership. Generic ticket tools never stuck for a boring reason: security wouldn’t let them show claim notes and member detail. Tickets became empty shells: a subject line and a ping. Analysts still rebuilt the story before they could act.

“I spend more time reconstructing the question than answering it.” – Claims analyst interview (composite of recurring feedback)

Research

  • Stakeholder interviews
  • Workflow shadowing / ride-alongs
  • Artifact review (email, tickets)
  • Security and access reviews
  • Prototype walkthroughs
Participants
Claims analysts, ops supervisors, plan leadership; security / identity partners on PHI scope
Constraints
PHI and multi-carrier workspaces; generic ticketing tools blocked from claim/member detail

Research started in the work, not a lab. I sat with claims analysts through real inquiry days: how they opened a question, which systems they jumped to, and where the story fell apart. Same theme kept showing up (the quote above is a composite of that feedback): reconstruction time ate answer time.

I paired that with email and chat threads that never became durable cases, and with security conversations about why “just use a ticket tool” failed. The product insight was simple: the case has to carry claim and member context under role-based scope, or people keep rebuilding the story outside the tool.

Before engineering committed, I walked queue → case prototypes with the same roles so we weren’t guessing about Module 1 of the claims-operations shell.

What I owned

End-to-end product design for Iris as Module 1 of the Claims Operations Toolset: queue, inquiry detail, inbox, live ops, and settings. I worked side by side with engineering on shared TypeScript contracts, identity (CIM | id / OIDC), and getting prototypes into the screens operators actually open every day.

Approach

Keep the claim, member, notes, and audit trail on the case—so analysts stop rebuilding the story in email.

Hypothesis: if the case holds the context, analysts stop rebuilding the story in email. Goal: faster first useful response, fewer escalations, PHI that stays scoped by role and carrier.

Directors still need a broad view; analysts should land in their carriers. Scope isn’t a backend footnote. It’s part of the product.

  • Queue first: filterable list with status and SLA cues, then deep links into claim and member context.
  • Case workspace: replies, activity, attachments, reassignment, and optional AI summary hooks (Bedrock) when threads get long.
  • Scope as product: permissions on every read and mutation for claims, authorizations, and related entities.
  • Contracts as product: @ayin/contracts keeps SPA and API on one source of truth so we design payloads up front instead of guessing later.
Iris inquiry detail workspace
Inquiry detail: case envelope over claim/member context with role-gated actions
Iris internal collaboration inbox
Inbox: collaboration scoped to the signed-in principal

Results

Finance and ops leadership tracked avoided touch time (less email/chat reconstruction) and fewer escalations once claim Q&A lived in Iris. Conservatively: more than $250K per year in organizational savings once the product was in daily use.

Handle time on operational claim questions
Before~18 minAverage to reconstruct context + answer
After~11 minWith claim/member context in the case

≈40% faster first useful response

Internal ops sampling during rollout; times vary by carrier and claim complexity.

Where the savings show up (illustrative mix)
  • Avoided email/chat reconstruction42%

    Largest single bucket

  • Fewer plan↔provider callbacks28%
  • Faster triage & assignment18%
  • Reduced rework from lost context12%

Share of estimated annual value by category: used in internal business case for Iris.

Iris live operations analytics
Live ops: queue health and throughput for supervisors

How it fits the platform

Iris is its own product, not a reskin of CIM. It reads claim and member context from CIM while owning the case workflow and permissions. AI Claims is a separate adjudication product that some of those inquiries may point at later.

Why this still matters

When context lives in email and chat, every inquiry starts with reconstruction. Iris put the claim, member, notes, and permissions in one place so analysts could answer instead of rebuild. I use that same idea on cases and agent-assisted queues: keep the work and the evidence together, and scope by role so people only see what they should.

Stack

Vue 3 · Quasar 2 · Pinia · TypeScript contracts · Lambda · DynamoDB · CIM read · CIM | id · Bedrock

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