Invoke Public Sector
Agentic Code Modernization

Transform Legacy
Into Mission-Ready
Modern Code

Invoke deploys hierarchical AI agent teams to systematically analyze, re-architect, and rewrite legacy codebases — with 100% functional parity, zero downtime risk, and full compliance traceability.

10M+
Lines Modernized
>10×
Speed vs. Manual
100%
Functional Parity
$30M+
Demonstrated ROI
Core Capabilities
  • ✓
    Eliminate end-of-life vulnerabilities & all known CVEs
  • ✓
    Parallel agent execution across backend, frontend, and integration domains
  • ✓
    Secure LLM options — local on-prem, air-gapped, or FedRAMP-authorized cloud
  • ✓
    Automated test generation — unit, functional, trace-based parity validation
  • ✓
    SDLC integration — Jira, DOORS, Azure DevOps, ServiceNow
  • ✓
    Comprehensive documentation — ICD, SBOM, eMASS packages, ATO evidence
  • ✓
    Human-in-the-loop oversight via configurable approval workflows
Platform Architecture
Hierarchical Agent Orchestration

Rather than a single AI processing an entire codebase at once, Invoke deploys specialized teams of agents — each with a defined role, explicit instructions, and quality-gated outputs — working in coordinated parallel.

ORCHESTRATOR AGENT Manages requirements · Enforces compliance · Coordinates all agent activities SBOM Generation · ATO Evidence · Jira / DOORS Integration ARCHITECT AGENT + RESEARCH SUB-AGENT Deep legacy code analysis · Architecture documentation · Modernization planning · ICD generation Multi-Strategy Review · Cross-Validation · Microservice Decomposition BACKEND AGENTS ▸ Planning Agent ▸ Development Agent ▸ QA & Test Agent Legacy Services & APIs FRONTEND AGENTS ▸ Planning Agent ▸ Development Agent ▸ QA & Test Agent UI & Presentation Layer INTEGRATION AGENTS ▸ Planning Agent ▸ Development Agent ▸ QA & Test Agent APIs, Data & Microservices

Orchestrator Agent

Central command that coordinates all agent activity, enforces compliance standards, and maintains full auditability across the modernization lifecycle.

  • Codebase ingestion & SBOM generation
  • DISA STIG, NIST 800-53, FedRAMP enforcement
  • Jira/DOORS ticket lifecycle management
  • eMASS & ATO evidence package generation

Architect + Research Agent

Deep-dives into legacy logic using concern group sub-agents, multi-strategy review, and cross-validation to produce precise modernization blueprints.

  • 5-pass multi-strategy review (Adversarial → Synthesis)
  • ICD (Interface Control Document) generation
  • Microservice decomposition planning
  • Cross-validation between concern groups

Code Agents (Parallel Execution)

Three specialized sub-agents per functional domain execute simultaneously — no sequential bottleneck.

  • Planning: task sequencing from architecture specs
  • Development: code rewrite & refactor
  • QA: trace-based parity tests & regression prevention
Modernization Process
From Legacy Codebase to Modern System

A structured, phased engagement from initial assessment through live deployment — with human oversight checkpoints at every stage.

1
Ingest & Analyze

Orchestrator ingests legacy codebase, generates SBOM, builds knowledge graph of code relationships

2–4 weeks
2
Research & Plan

Architect Agent runs concern group analysis, multi-strategy review, and produces detailed requirements

2–6 weeks
3
Parallel Execution

Code Agent trios execute across all functional domains simultaneously with continuous validation

3–12 months
4
QA & Parity

Automated test suites confirm 100% functional parity. Remediation agents fix failures without restarting

Continuous
5
Handoff & Transition

Knowledge transfer, ATO evidence packages, and operational support for final deployment

2–4 weeks
Language Coverage
Legacy In. Modern Out.
Legacy Languages & Stacks
COBOL IDEAL PL/I FORTRAN RPG CICS JCL VB6 ColdFusion Legacy Java EE Classic ASP PowerBuilder
Modern Target Platforms
Java 21 / Spring Boot Python 3.12 TypeScript React / Angular Node.js Go Rust Kubernetes REST / GraphQL Microservices AWS / Azure GovCloud Cloud-Native
Before & After
Legacy COBOLBEFORE
1IDENTIFICATION DIVISION.
2PROGRAM-ID. CALC-PAYROLL.
3DATA DIVISION.
4 01 WS-GROSS-PAY PIC 9(7)V99.
5 01 WS-TAX-RATE PIC V99 VALUE .22.
6PROCEDURE DIVISION.
7 COMPUTE WS-NET = WS-GROSS - * no overflow check
8 WS-GROSS * WS-TAX-RATE.
9 STOP RUN.
Modern Java 21AFTER
1public record PayrollResult(
2 BigDecimal gross, BigDecimal net) {}
3
4public class PayrollCalculator {
5 private static final BigDecimal
6 TAX = new BigDecimal("0.22");
7
8 public PayrollResult calc(
9 BigDecimal gross) {
Quality Assurance
Multi-Strategy Review Architecture

Each requirement passes through 5 sequential review iterations, each using a different strategy — eliminating the blind spots that plague single-pass AI review.

⚔️
Adversarial

Actively seeks errors, omissions, and incorrect assumptions

🗺️
Completeness

Ensures full coverage — every requirement has context and citations

🔭
Edge Cases

Uncovers indirect, implicit, and boundary-condition connections

🏛️
Domain Expert

Applies business context — mission-critical logic not obvious from code

🔗
Synthesis

Resolves contradictions, removes duplicates, confirms consistency

Automated Validation — 8 Verification Rules
1
Coverage

Every requirement has full context

2
Citations

All requirements cite source programs

3
Citation Validity

All citations resolve to real programs

4
Bidirectional Relevance

Citations genuinely relate to requirements

5
Consistency

No internal contradictions in outputs

6
Completeness

Every summary chunk was processed

7
Cross-Reference

Same program described consistently

8
No Empty Fields

All required fields populated

Outcomes & ROI
Measurable Results for Mission-Critical Systems
💰
Cost Reduction

60–80% reduction in ongoing maintenance costs. 40–60% infrastructure savings through cloud-native modernization. Free developers from legacy maintenance for strategic mission work.

⚡
Accelerated Delivery

3× faster than traditional manual rewrites. Parallel execution across all domains simultaneously. Phased rollout minimizes operational disruption and mission risk.

📚
Knowledge Preservation

Auto-generated system documentation, architectural diagrams, and Interface Control Documents. Institutional knowledge captured for new developer onboarding and ATO support.

🔒
Strengthened Security

Eliminate all known CVEs in legacy codebase. Modern frameworks with active patching. Full compliance with DISA STIG, NIST 800-53, and FedRAMP.

$30M+
Demonstrated ROI Delivered to DoD Customers
10×
Speed Improvement vs. Traditional Manual Rewrites
100%
Functional Parity Guaranteed Before Any Deployment
Risk Management
Built-In Risk Mitigation
Domain Knowledge Preservation
Risk

Loss of critical system understanding and mission-critical business logic during modernization.

Mitigation

Trace-based testing captures all system behaviors. Living documentation preserves institutional knowledge throughout.

Regression Prevention
Risk

Modernized code introduces bugs or breaks existing mission-critical functionality.

Mitigation

Continuous automated validation with self-guarding agents. 100% functional parity testing before any deployment approval.

Security Exposure
Risk

Sensitive code or classified intellectual property exposed during modernization.

Mitigation

Local or FedRAMP-authorized LLMs only. Code scanning, malware detection, and Zero Trust architecture enforced throughout.

Oversight Bottlenecks
Risk

Human review requirements slow modernization to unacceptable levels.

Mitigation

Human-in-the-loop via Jira with configurable approval tiers. Only high/critical changes require human sign-off — automated execution continues unblocked.

Deployment & Integration
Meets You Where You Operate
🏗️
On-Premises / Air-Gapped

Complete air-gapped operation with local LLM models. Ideal for classified environments requiring full isolation.

☁️
Hybrid Cloud

Secure API integration with FedRAMP-authorized services while maintaining strict data sovereignty and compliance.

🏛️
Government Cloud

Native deployment within AWS GovCloud, Azure Government, or other authorized environments with full compliance posture.

🔄
DevSecOps Integration

Seamless CI/CD pipeline integration with GitLab, GitHub, Jenkins, and automated security scanning tools.

🎫
Agile Workflow Support

Native Jira, Azure DevOps, and ServiceNow integration for ticket management and end-to-end traceability.

📋
Compliance Reporting

Automated eMASS packages, security assessment documentation, and Authority to Operate (ATO) evidence packages.

Typical Engagement
From Assessment to Deployment
1
Assessment Phase
2–4 weeks

Code baseline, SBOM generation, architectural analysis, and modernization roadmap development

2
Pilot Phase
4–8 weeks

Modernize representative module, validate approach, refine agent configurations, establish benchmarks

3
Full Execution
3–12 months

Parallel modernization across all domains with continuous testing, documentation, and stakeholder reviews

4
Transition & Handoff
2–4 weeks

Final validation, knowledge transfer, deployment support, and full ATO evidence package delivery

Transform Your Legacy Systems Today

Eliminate technical debt · Strengthen security posture · Proven at scale with the Department of Defense

Tyler Carpenter
SVP / GM — Invoke Public Sector
360.900.6242
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