Home Industries Platform Nx·Studio Flagship Nx IDE Cognitive Engine Trust Center Pricing Capabilities About Us Leadership Team Careers Contact Us
Digital workers, evaluated and owned

Prioritize the right processes. Measure the results. Keep the source code.

Digital Worker 9 AI Agents Example

Intelligent Retirement Application Processing System

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation.

9 AI Agents
5 Tech Stack
AI Orchestrated
Scoped Availability
Worker ID: AI Pension Guardian

Problem Statement

The challenge addressed

Pension application processing requires complex service credit calculations across decades of employment, actuarial benefit computations, regulatory compliance verification, and document validation—traditionally taking weeks of manual review.

Solution Architecture

AI orchestration approach

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Orchestrates 9 speciali...
Interface Preview 4 screenshots

Illustrative preview (sample data, not verified outcomes): Retirement application input interface with member selection, payment option configuration (QJSA, Joint & Survivor, Life Certain), and system architecture preview

Illustrative preview (sample data, not verified outcomes): Real-time AI agent orchestration displaying ReAct reasoning pattern with agent thoughts, observations, reflections, tool executions, and agent memory tracking

Illustrative preview (sample data, not verified outcomes): Pension processing results with calculated monthly benefit, years of service, eligibility status, and AI recommendations for Social Security optimization and financial planning

Illustrative preview (sample data, not verified outcomes): AI Operations Dashboard showing real-time agentic system performance monitoring with cases processed, auto-approval rates, cost savings, and individual agent accuracy metrics

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

9 Agents
Parallel Execution
AI Agent

Orchestrator Agent

Coordinating 9 specialized agents across 4 workflow phases requires intelligent task delegation, progress monitoring, and result aggregation.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Manages 4-phase workflow: Data Gathering (parallel), Calculation & Analysis (sequential), Compliance/Risk/Wellness (parallel), and Final Review (sequential). Delegates tasks based on dependencies, monitors phase completion, aggregates agent findings, and generates final recommendations with confidence scores.

EXAMPLE #1
View Agent
AI Agent

Service Credit Auditor

Calculating pension service credit requires analyzing employment history across decades and multiple employers, identifying gaps, applying disability credits, and processing reciprocity transfers.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Queries employment databases for complete history, analyzes gaps against 24-month break-in-service rules, applies disability credit periods, verifies inter-fund reciprocity transfers, and calculates total credited years with vesting status determination.

EXAMPLE #2
View Agent
AI Agent

Document Verification Agent

Retirement applications require validation of birth certificates, marriage certificates, beneficiary forms, and tax documents with high accuracy.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Performs OCR text extraction with 99%+ confidence, validates document authenticity markers, extracts key data fields (names, dates, signatures), cross-references against member records, and identifies missing required documents.

EXAMPLE #3
View Agent
AI Agent

Benefit Calculator Agent

Pension benefit calculations require applying complex formulas with service credit multipliers, early retirement reductions, and payment option actuarial adjustments.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Applies plan benefit formula ($95/year x credited service), calculates early retirement reduction (0.5%/month before age 65, capped at 21%), computes actuarial present value using RP-2014 mortality tables, and models alternative retirement scenarios at different ages.

EXAMPLE #4
View Agent
AI Agent

Compliance Guardian Agent

Retirement benefits must comply with ERISA Section 204/205 requirements, IRS Section 415 limits, PBGC guarantees, and SECURE 2.0 RMD rules.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Checks retirement-benefit records against configured notice, consent and benefit-limit rules. Use current plan documents and jurisdiction-specific requirements, and route findings to qualified plan administrators for review.

EXAMPLE #5
View Agent
AI Agent

Risk Assessment Agent

Retirement applications may contain data quality issues, anomalies, or fraud indicators requiring systematic risk evaluation.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Detects anomalies in employment patterns using statistical analysis, checks fraud indicators against known schemes, calculates composite risk scores (0-100), evaluates data quality across all inputs, and generates approval/review/escalation recommendations.

EXAMPLE #6
View Agent
AI Agent

Predictive Analytics Agent

Members need projections of lifetime benefit value, longevity risk, optimal retirement timing, and Social Security coordination strategies.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Numerical examples are scenario inputs or illustrative outputs, not validated performance results. Runs 10,000-scenario Monte Carlo simulations for lifetime value projections, applies COLA inflation scenarios (2.5%-5%), calculates optimal Social Security claiming age with break-even analysis, projects longevity using mortality tables, and recommends emergency buffer amounts.

EXAMPLE #7
View Agent
AI Agent

Financial Wellness Agent

Retirement planning requires coordinating pension benefits with Social Security, Medicare eligibility gaps, tax optimization, and SECURE 2.0 provisions.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Coordinates Social Security integration with pension bridge strategy, analyzes Medicare eligibility gaps and bridge coverage options (COBRA/ACA), verifies SECURE 2.0 catch-up provisions and RMD schedules, calculates tax-efficient withdrawal strategies, and estimates IRMAA surcharge risk.

EXAMPLE #8
View Agent
AI Agent

Member Communication Agent

Complex pension calculations need translation into plain-language explanations that members can understand and act upon.

Core Logic

Illustrative workflow design. Validate capabilities, performance, controls and integration requirements before implementation. Generates member-friendly benefit summaries at 8th-grade reading level, explains calculations in plain language with visual aids, anticipates top member questions with prepared answers, creates prioritized next-steps checklists with deadlines, and produces comparison charts for payment options.

EXAMPLE #9
View Agent
Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

enterprise-oriented agentic AI workflow for retirement application processing featuring ReAct reasoning with streaming thoughts, multi-agent collaboration with handoffs, tool use visualization, agent memory management, and comprehensive audit trails.

Tech Stack

5 technologies

RxJS streaming event architecture

Monte Carlo simulation engine (10,000 scenarios)

RP-2014/MP-2023 mortality table integration

ERISA, IRS, PBGC, SECURE 2.0 compliance rulesets

OCR document processing with 99%+ extraction confidence

Architecture Diagram

System flow visualization

Intelligent Retirement Application Processing System Architecture
100%
Rendering diagram...
Scroll to zoom • Drag to pan