WH WHPS TransformationExecutive Status
Executive status update
WHPS Transformation team Led by Sam Sweilem

Six-week broker/agent pathway. Five platform proof points. One governed AI-native operating model.

WHPS is presenting a connected modernization program, not isolated portal projects. The team moved a regulated broker/agent pathway from concept to auditor handoff in six weeks and created a reusable architecture pattern for ServiceLink Portal, GroupLink Portal, Contact Center AI, ReconLink, claims, prior authorization, and mainframe modernization.

Leadership status Portfolio status AI SDLC factory GroupLink architecture Evidence library
Broker / Agent Pathway 6 weeks

From concept to auditor handoff path for a regulated healthcare platform capability.

Sizing baseline 6 weeks vs. 8-12 mo.

Planning comparison: a conventional regulated delivery path sized in months was compressed into a controlled six-week pathway.

Transformation proof 5 proof points

Broker/agent pathway, GroupLink Portal, ReconLink, Contact Center AI, and Prior Authorization show one delivery system.

Delivery model AI SDLC Factory

Secure, documented, model-agnostic, agentic, and evidence-backed.

Contact Center AI 5 call types

Current foundation is active; expansion path includes additional call types and claims-related use cases.

Transformation agenda

Move through the transformation story in seven decision-ready chapters.

The sequence keeps the status concise, visual, and evidence-backed while staying inside one executive decision path.

01 Portfolio modernization posture.

The program is not a single project; it is a controlled platform modernization portfolio.

 02 Governed delivery system.

The AI SDLC Factory is documented, secure, and repeatable across application teams.

 03 Six-week broker/agent pathway.

Speed matters because it was achieved with security, testing, documentation, and audit preparation.

 04 GroupLink architecture leverage.

The database, middleware, and CDC path creates value beyond the GroupLink Portal release.

 05 Contact Center AI expansion.

Spanish call flows are ready for deployment; claims call center work is in progress and awaiting approval.

 06 Modernization and migration foundation.

AWS assessment, DB2 migration, ReconLink, Prior Authorization, and ServiceLink connect to one platform foundation.

 07 Governance and scale decisions.

Decision points cover announcement timing, transformation cadence, lateral expansion guardrails, and empowered core-team continuity.
Demo control view

One presentation path connects status, live product views, screenshots, diagrams, and evidence.

The update can move from executive posture into a working demo, architecture view, security documentation, service test evidence, or AI SDLC operating model without leaving the presentation flow.

Operating cadence Status, proof, demo, evidence, decision.

One flow supports portfolio review, pathway demonstration, security posture, and architecture depth.

01 Status board

Current workstreams and posture.

 02 Pathway walkthrough

Demo sequence for broker and agent capabilities.

 03 Architecture view

Pathway, services, data, and handoffs.

 04 Security packet

Controls, testing, and evidence documents.

 05 Service test harness

Runtime checks and capability proof.

 06 AI SDLC factory

Governed agentic delivery model.
Status board

Key workstreams and strategic posture.

Each workstream connects current status, strategic significance, and supporting artifacts so the discussion stays grounded in proof.

Audit handoff path Broker / Agent Pathway

Six-week broker/agent pathway shows WHPS can move quickly with controls.

The pathway shows WHPS can move from business concept to secure, documented audit handoff in six weeks without separating speed from security, evidence, or CMS-readiness work.

Ideate Business concept
Build Secure platform
Prove Scan, test, remediate
Handoff Auditor-ready package
6-week proof Speed with controls

Delivery velocity is meaningful because it includes security review, release evidence, documentation, and audit preparation.

Regulated path Healthcare readiness

The platform is being prepared for internal assessment, CISO/security review, third-party assessment readiness, and CMS-readiness evidence.

ControlFrame evidence Audit package acceleration

Agentic evidence collection produced a large control-mapped corpus that can reduce manual auditor and internal evidence-gathering effort.

Conventional delivery planning baseline 8-12 months

8,500-10,500 estimated hours across larger development, QA, release, compliance, and coordination capacity.

Velocity model ~10x

Planning comparison only; replace with validated timekeeping data before external attribution.

AI-enabled delivery path ~650-900 hours

Two developers, one PM, architecture/security review, compliance input, and focused tester support.

Development 2 engineers

Core build, integration, remediation, documentation support.

Program lead 1 PM

Scope control, cadence, evidence tracking, stakeholder coordination.

Security + compliance Review lane

Architecture review, control evidence, vulnerability remediation, approval path.

Testing 40-80 hrs

Focused validation across three to four testers over the final readiness window.

  • Security, remediation, audit, and evidence paths are built into the delivery lifecycle.
  • Penetration testing, vulnerability validation, CISO-team review, and third-party assessment are part of the assurance track.
  • MarketLink evidence collection demonstrates how agents can gather screenshots, manifests, control mappings, and reviewer-ready packets.
  • Strategic signal: this is a repeatable delivery capability, not a one-off prototype.
Pathway evidence CMS/EDE build status Traceability matrix Investment estimate Evidence showcase Security posture EDE documentation Security architecture doc Testing checklist
20 areas complete CMS / EDE build status

What's been built across the CMS/EDE broker and consumer pathway.

The completed build scope spans portal experience, identity/security, CMS integration, and evidence compliance. This gives the status discussion a concrete inventory of what exists, not just a narrative about readiness.

20 areas complete
Portal and experience 6
  • Broker portal: clients, applications, quotes, book of business, commissions, renewals.
  • Consumer portal: register, shop, apply, enroll, and manage life events.
  • Phase 3 application wizard with household, MEC/SEP, review, and signature flow.
  • Plan shopping with HealthCare.gov alignment, county lookup, and APTC display.
  • DMI, SVI, notices, and document metadata surfaces.
  • Adjacent workflows: Medicare, ICHRA, AOR, and campaign paths outside F001.
Identity and security 4
  • Broker authentication with MFA, lockout, roles, FFE/CMS IDM fields, and NPN binding.
  • Consumer lifecycle with email and identity verification plus duplicate protection.
  • CSRF, rate limiting, geo/VPN handling, audit hash chain, and sensitive-access logging.
  • Legal pages in English and Spanish: privacy, terms, and non-discrimination.
CMS integration 4
  • Hub connectivity: RJ74 IMPL, HS000000 success, and mTLS configured.
  • RIDP-RBA: RJ145 live evidence captured with CONTINUE response path.
  • GetRecord: RJ146 live evidence captured with CONTINUE response path.
  • Application APIs: create, update, submit, get application, ID proofing, DMI, SVI, and notices.
Evidence and compliance 6
  • F001 consumer evidence: RIDP, ID proofing, submit/get application, DMI/SVI, and notices.
  • DTSR matrix prepared for all 20 required RIDP harness cases.
  • Raw API evidence capture: unmodified request/response headers and bodies.
  • Compliance system: dashboard, SSPP, POA&M, audit reports, and archive.
  • Auditor UI findings: many fixed and deployed; remaining items tracked for final release disposition.
  • Test infrastructure: unit, integration, Playwright, accessibility, and toolkit coverage.
EDE transaction flow Requirements traceability Evidence board EDE evidence hub Control register
Active expansion Contact Center AI

Spanish-language call flows are ready for deployment; claims call center expansion is in progress.

Contact Center AI is active as an expanding service capability. Spanish call flows are complete and ready to deploy. Claims call center workflows are the next expansion lane, with broader deployment currently on hold pending Vinod approval.

  • Current baseline: five call types handled by the AI contact center path.
  • Deployment-ready expansion: Spanish-language call flows.
  • Active workstream: claims call center assistance, retrieval, disposition, and evidence handling.
  • Current gate: release movement is paused pending Vinod approval.
  • Strategic signal: expand from agent assist into governed, evidence-backed service actions.
Contact Center plan Security controls Compliance packet
Strategic capability WHPS AI SDLC Factory

Documented agentic delivery system for secure, compliant speed.

The AI SDLC is now a reusable operating method across GroupLink, the broker/agent pathway, ReconLink, prior authorization MVPs, architecture documentation, evidence production, security review, and modernization analysis. It keeps agents, tools, release gates, and human approvals inside one controlled process.

  • Agent-agent communication is governed through scoped tasks, artifacts, gates, and evidence handoffs.
  • Models and tools can change; policy, evaluation, traceability, and approval boundaries remain.
  • Strategic signal: WHPS can start strategic application work faster because the delivery factory already exists.
Factory deep dive Release packet Tool registry
Control lane ReconLink / Reconciliation AI

Reconciliation becomes the proof layer for migration confidence.

ReconLink is part of the operating-control story: reconciliation, exception management, data quality, audit letters, parity checks, and cutover confidence. It should be positioned alongside DB2 migration and mainframe modernization because it proves old and new systems agree before business risk is moved.

  • Supports dual-run and data-parity evidence for modernization waves.
  • Connects operational exceptions to auditable remediation and release decisions.
  • Strategic signal: reconciliation is the safety rail for modernization, not back-office cleanup.
Platform status Current-state context Wave factory
Integration path Claims Integration

Claims use cases expand the Contact Center AI and platform story.

Claims integration should be shown as a near-term expansion point: claim status, payment integrity, appeals, service follow-up, and claim-related knowledge retrieval can plug into the same Contact Center AI, evidence, workflow, and platform architecture.

  • Claims-related call types are a logical next phase for service intelligence.
  • Integration can reuse identity, audit, knowledge retrieval, human approval, and service-action controls.
  • Strategic signal: AI-enabled service grows by adding governed use cases, not by rebuilding the channel.
Claims context AI service controls Service test harness
MVP lane Prior Authorization

Prior auth demonstrates how quickly new healthcare workflow products can be started.

Prior authorization is an adjacent proof point for strategic application development. It shows the organization can stand up focused MVPs that reuse the same design, agentic SDLC, evidence, security, and platform patterns without large upfront cost.

  • Useful as a demonstration of future-state healthcare workflow composition.
  • Should remain positioned as supporting evidence until the approved demo path is ready.
  • Strategic signal: the platform and AI SDLC let us explore high-value initiatives faster.
Supporting link Agentic workflow Product selection
Strategic foundation IT Modernization

Mainframe migration, AWS assessment, DB2 strategy, and reusable services converge.

Overall IT modernization is the unifying program: AWS mainframe assessment, DB2 migration analysis, CDC coexistence, ServiceLink future-state planning, ReconLink parity, GroupLink backend modernization, Prior Authorization experimentation, and Contact Center AI all feed one target platform strategy.

  • AWS assessment and DB2 work establish source inventory, dependencies, data lineage, and migration waves.
  • GroupLink parallel-run architecture gives the team a practical bridge from DB2 dependency to modern services.
  • Strategic signal: this is the foundation for the next generation of WHPS applications.
AWS baseline Target architecture Diagram library
New assessment PM00003094: Unified UI/UX

Enterprise UI/UX unification has been referred to the AI Transformation team for assessment.

A request for unified user-interface modernization across Medicare, Group, ACA, and Claims platforms has been routed to the AI Transformation team for a rapid scope, delivery-path, and estimate assessment.

Current posture Assess scope before committing capacity.

The assessment will define platform impact, design-system leverage, delivery sequencing, testing demand, and the operating model required to execute without disrupting monthly-release commitments.

  • Initial focus: determine whether this is a design-system program, platform modernization lane, or a series of platform-specific UI changes.
  • Capacity signal: existing development and testing bandwidth appears constrained by monthly release commitments and broker/agent pathway validation needs.
  • Recommended path: evaluate through the AI SDLC Factory so discovery, design, implementation, testing, evidence, and release planning are coordinated by a governed agentic delivery model.
  • Strategic signal: UI/UX unification can become a reusable modernization pattern for HPS platforms, not another disconnected front-end refresh.
Platform register Target architecture AI SDLC factory
AI SDLC flow

Define, decompose, architect, build, validate, deploy, and monitor with evidence at every handoff.

WHPS is operating a controlled AI SDLC, not a collection of disconnected AI tools. The model, agent roster, and automation runner can evolve while risk tiering, tool authority, security gates, release packets, and evidence stay consistent.

Human authority layer Business owner, architecture, security, QA, compliance, and release approval stay explicit.

Agents accelerate delivery only inside named scope, approved data boundaries, controlled tools, and auditable handoffs.

WHPS AI SDLC Factory Agentic delivery with governed handoff contracts

Every run produces scope, decision, evidence, and release artifacts.

  1. 01 Define Outcome, owner, risk Value, users, data, and exposure are classified first.
  2. 02 Decompose Tasks and agent work orders Agents communicate through scoped artifacts and handoffs.
  3. 03 Architect Service, data, control design Model, tool, identity, audit, and PHI boundaries are designed in.
  4. 04 Build Code, APIs, data, docs Work happens in controlled spaces with review and traceability.
  5. 05 Validate CI, security, AI evals Failed gates stop movement until remediation is proven.
  6. 06 Deploy Packet, approval, rollback Production movement requires named approval and support handoff.
  7. 07 Monitor Telemetry and revoke loop Runtime signals update policy, evals, risk, and AI BOM.
Model gateway Approved, restricted, deprecated, revoked
Tool gateway Scoped permissions, secrets boundary, egress controls
Evaluation harness Regression, grounding, privacy, prompt-injection, parity checks
Evidence packet Run log, tests, scans, AI BOM, approvals, release ID
Product agent Architecture agent Build agent Security and test agent Evidence agent Release authority
Documented Formal method record

The methodology page carries lifecycle, control-plane, release-packet, and diagram evidence.

Reusable Works across product lanes

GroupLink, the broker/agent pathway, ReconLink, prior authorization, and modernization analysis can use the same delivery method.

Future-ready Built for next-generation applications

Agent-ready services expose governed actions, evidence, approvals, and telemetry from the start.

01 Risk + data Classify before work starts
02 Architecture Threat model and review path
03 Build security SAST, dependencies, secrets, controls
04 Security proof Vulnerability scans and pen-test evidence
05 Release authority Named approvals and rollback path
Documentation proof

The AI SDLC is documented and available for review.

The supporting documentation covers the operating model, release packet, control plane, diagram set, and evidence requirements that make this a repeatable delivery capability.

Review factory deep dive
Future-state strategy

We are building applications for the next operating model, not the last one.

The platform is being shaped for agent-ready healthcare services: applications expose governed action contracts, agents communicate through scoped tasks and evidence handoffs, humans approve high-risk actions, and every workflow leaves an auditable trail.

Agent-ready services Applications expose controlled actions.

Future systems should let agents read, reason, act, and prove outcomes through APIs and policy gates instead of brittle screen automation.

Agent-agent communication Work decomposes into governed handoffs.

Planning, architecture, coding, testing, security, documentation, and release evidence can be coordinated by specialized agents under human control.

Reusable platform services Capabilities extend across teams.

Identity, consent, audit, documents, data lineage, reconciliation, and workflow controls should be shared building blocks.

Evidence by design Every release produces proof.

Security, testing, compliance, architecture, and operations evidence are generated as part of delivery, not assembled afterward.

Decision agenda

Make the decisions that turn proof into operating advantage.

The WHPS team has proven controlled velocity. The next decisions determine whether that capability compounds into market leadership, reusable modernization, and a durable AI Transformation Program.

Decision 01 Coordinate CMS/EDE readiness and public announcement timing.

The broker/agent pathway gives HPS a credible AI-enabled delivery and CMS/EDE readiness story. Align the narrative now; make external claims only when audit and certification evidence are cleared.

  • Decision: announcement conditions, timing, owner, and approval path.
  • Control: no public certification claim outruns evidence, CISO review, auditor review, or CMS/EDE readiness.
  • Checkpoint: message packet tied directly to the evidence library.
Decision 02 Approve the AI Transformation Program cadence.

Use a Weekly Transformation Briefing and Monthly Workshop to keep decisions, risks, metrics, evidence, and next-wave opportunities visible without forcing leaders through ten systems.

  • Decision: operating cadence, executive audience, and decision log owner.
  • Control: every briefing includes scope, risk, security posture, evidence, and blockers.
  • Checkpoint: target first briefing Tuesday, May 19, 2026.
Decision 03 Set lateral expansion and first-refusal guardrails.

Adjacent payer interest in the broker/agent pathway should be shaped deliberately. Give HPS first refusal and define when external conversations can widen.

  • Decision: HPS first-refusal period, strategic boundaries, and commercial approval path.
  • Control: protect HPS priorities, data boundaries, security posture, and certification timing.
  • Checkpoint: short opportunity memo before any wider market motion.
Decision 04 Continue empowered core-team funding and continuity.

The small core-team model produced five platform proof points in three months. Funding clarity for the next 12 months unlocks the next wave without adding governance drag.

  • Decision: maintain the core team with clear advisory inputs and timed approvals.
  • Control: product, architecture, security, compliance, QA, and release gates remain explicit.
  • Checkpoint: 12-month plan with factory metrics, evidence review, and next-platform queue.