Member 360ยฐ. GASB 67/68 reporting. Document AI. Employer file ingestion. Member services automation.
xAQUA augments your benefits administration team โ it does not replace them. Sit on top of your pension admin system, document repository, and actuarial files. Validated at a $300B+ public pension fund in fully private deployment. No data leaves your environment.
Public retirement systems sit on decades of legacy code, employer files in a hundred shapes, document archives no one has time to read, and reporting deadlines that do not move.
PASS, V3, Vitech, LRS, Ariel, custom mainframes โ every system speaks its own dialect. Member, service credit, contributions, and retirement files don't reconcile cleanly. Cross-system questions take days.
10โ30 yr legacy codebases in most fundsBeneficiary forms, divorce decrees, QDROs, USERRA notices, employer corrections โ millions of pages buried in document repositories. Staff cannot answer member calls without retrieving them by hand.
~70% of member service time spent on lookupGASB 67/68, actuarial valuations, board reporting, employer reconciliation, federal reporting โ each one assembles the same data in a different shape. Every audit cycle is another fire drill.
Weeks per cycle, every cyclexAQUA does not replace your pension administration system. It does not store your member data. It sits above your stack and turns plain English into governed, auditable execution.
xAQUA covers the operational, analytical, and reporting workload across the lifecycle of a member, from first contribution to survivor benefits.
Each agent is a specialist. Together they cover the full data team workload โ from ingestion to insight, from governance to delivery โ augmenting your benefits and IT staff, not replacing them.
A unified, governed view of every member, retiree, beneficiary, and dependent โ assembled from your pension admin system, document repository, and employer files.
PII protection, data quality monitoring, and audit-grade lineage built into every action. The compliance posture pension boards and CIOs already require.
Validate, transform, and reconcile employer payroll and contribution files โ the source of truth for service credit. Catch bad data before it corrupts member accounts.
Beneficiary forms, divorce decrees, QDROs, USERRA notices, employer corrections โ extracted, classified, and made retrievable in plain English.
Cut actuarial data preparation from weeks to days. Project retirement waves, model COLA scenarios, and stress-test demographic assumptions on demand.
Board-ready GASB 67/68 packages, trust dashboards, and operational scorecards โ auto-generated with narrative commentary and full data lineage.
A typical member service interaction. Same flow holds for board questions, employer reconciliation, and actuarial requests.
Information retrieval that used to take days now takes seconds. Member service reps answer questions in real time without leaving the conversation. The fund's data team kept their existing systems, kept their security posture, and added an AI data team on top.
Concrete workflows already running in production or scoped for first-quarter delivery at peer funds.
Service reps ask questions in plain English and get a complete member view with citations โ beneficiary, service credit, eligibility, recent correspondence โ without switching screens.
Generate audit-ready census extracts with full lineage. Catch anomalies โ service credit gaps, salary outliers, missing tier indicators โ before the actuary does.
Reconcile service credit across multiple employers, plan tiers, and historical transitions. Flag mismatches with explanations a reviewer can act on.
Auto-assemble GASB packages with footnotes, supporting schedules, and prior-year comparatives. Lineage from every figure back to source records.
Identify members approaching key milestones and produce personalized outreach lists with benefit projections and missing-document flags.
Catch deceased-member payments, duplicate disbursements, and contribution anomalies. Each flag includes the data trail and a recommended action.
Locate, classify, and interpret beneficiary forms, QDROs, divorce decrees, and employer corrections โ with the page citation and the parsed data.
Catch bad employer reports before they corrupt member accounts. Push back to employers with specific, actionable correction reports in minutes.
Trust health, member demographics, fund operations, investment performance โ auto-generated dashboards with narrative summaries and drill-down.
Public retirement systems carry fiduciary, statutory, and member-trust obligations the platform has to meet from day one. xAQUA is built for that posture, not against it.
These are reference outcomes from production deployments and scoped pilots at peer funds.
A scoped 30โ60 day pilot against your specific use cases. Live in your environment. No data egress. Ground the conversation in reality, not slideware.