MODERNIZATION FDE + AGENT FACTORY
Modernization Forward-Deployed Engineering
For application modernization, code generation is only one part of the problem. Legacy requirements, undocumented business logic, dependencies, architectural coupling, security, testing, governance, functional-equivalence validation, and organizational adoption determine whether autonomous engineering produces a safe and repeatable enterprise outcome.
Mechanized AI's Modernization FDE model places a small number of highly capable engineers close to the customer. They translate enterprise context into bounded work that autonomous agents can execute, direct parallel execution, validate results, and carry the transformed application into production.
Backed by industry leaders
Our strategic alliances span the AI ecosystem — giving clients the freedom to scale with the right technologies, not just the familiar ones. That means faster results, fewer limitations, and solutions that actually fit.
THE COMBINED PROPOSITION
Mechanized AI helps enterprises identify where AI creates value, understand the systems that must change, orchestrate autonomous execution, validate the transformation, and deliver the result into production.
Modernization FDE responsibilities
01
Discover business workflows, application behavior, dependencies, and modernization constraints
02
Select and sequence high-value modernization work packages
03
Define target architecture and transformation patterns
04
Direct CodeMap/CodeGen or other execution agents
05
Coordinate testing, integration and functional-equivalence validation
06
Enforce architecture, security and modernization governance
07
Integrate with CI/CD and control production release
08
Own customer adoption, production accountability and measurable outcomes
MODERNIZE AGENT FACTORY
The Mechanized AI Modernization Factory
The architecture separates intelligence, orchestration, execution, validation and deployment so the underlying coding-agent layer remains modular.
01
CODE MAP / Modernization Intelligence
Dependency graph, architecture, business logic, workflows, application understanding and modernization plan.
02
ORCHESTRATOR / Work Decomposition
Breaks transformations into bounded work packages, sequences work and coordinates parallel autonomous execution.
03
AGENT LAYER / Autonomous Execution
CodeMap/Gen, specialized legacy agents, and testing agents selected as interchangeable execution resources.
04
ASSURANCE / Validation +Governance
Functional equivalence, architecture compliance, security checks, automated tests, and human approval.
05
DEPLOY / Production Release
CI/CD integration, release controls, production deployment, and measurable operational outcomes.
DIFFERENTIATION
The differentiation is not another general-purpose coding agent. It is the modernization-specific intelligence, methodology, orchestration, governance, functional-equivalence validation, and repeatable transformation patterns required to modernize complex enterprise applications.
MODERNIZE DELIVERY
Unified Delivery Lifecycle
AI maturity, business priorities, use-case selection, data readiness, CodeMap discovery, dependencies and workflow intelligence.
01
Assess / Business + System Intelligence
Dependency graph, architecture, business logic, workflows, application understanding and modernization plan.
02
Plan / Architecture +Business Case
Target architecture, modernization roadmap, work decomposition, success metrics, governance, investment case and delivery plan
03
Orchestrate / FDE-Directed Autonomous Execution
Modernization FDEs direct CodeGen and specialized agents across bounded work packages and parallel streams
04
Validate / Functional Equivalence + Governance
Testing, architecture compliance, security, business-rule preservation, human review and approval.
05
Deploy / Production Outcomes
CI/CD integration, controlled release, adoption, operational measurement, and ROI realization.
MODERNIZE: AI-NATIVE SERVICES
A New Services Economic Model
Forward-deployed engineering changes the model: modernization that historically required a large delivery team can increasingly be structured around a small number of senior Modernization FDEs directing many specialized autonomous agents.
01
TRADITIONAL MODEL
10-30 consultants / developers
Humans produce most code and analysis
Scale by adding delivery headcount
Large variable labor base
Project output focus
02
AI-NATIVE MODERNIZATION
1-3 Modernization FDEs + 20-100 agents
Humans understand, decompose, direct and validate
Scale through parallel agent execution
Compressed team with higher automation leverage Production outcome + measurable ROI focus
Illustrative delivery model from the supplied presentation. Actual team size, agent count and outcomes depend on project scope.
ENGAGEMENTS
Commercial engagement options
01
AI / Modernization Opportunity Assessment
Prioritized use cases, CodeMap intelligence and executive roadmap.
02
Modernization Strategy & Business Case
Target architecture, transformation roadmap, economics and success measures.
03
Modernization Pilot
Bounded application/workflow transformation proving the FDE +agent-factory model.
04
Modernization Factory Deployment
Scaled portfolio execution using FDE-directed agents, validation and governance.
05
End-to-End Enterprise AI Program
Strategy, custom AI engineering, modernization, integration and production deployment.
MAI MODERNIZE
mAI Modernize | An All-in-One AI Solution for Legacy Modernization
The mAI Modernize product suite harnesses AI to drive large-scale modernization, offering solutions for application analysis, code transformation, VM discovery, and migration to accelerate digital transformation.
01
CodeMap
Gain Rapid Insights into Your Portfolioof Legacy Applications
02
CodeGen
AI-Powered Code Modernization for Any Stack
03
VMShift
AI-Powered VM-to-Container Migration
MAI MODERNIZE - CODEMAP AND CODEGEN
mAI Modernize Supports a Broad Range of Inputs and Outputs
01
Source support / Codebase
ADSO / Angular / ASP / Assembler / C / C#.NET / COBOL /ColdFusion / Easytrieve / Forte / FoxPro / Ruby on Rails / Java/ Mumps / Natural/ADABAS / NodeJS / Oracle Forms /PACBASE / PL/I / PowerBuilder / Python / VB / VB.NET / Space
02
Target support / Codebase
Angular / C#.NET / Java / Nextjs / NodeJS / PL/SQL / PySpark/ Python / React / Scala /
03
Source support / Database
DB2 SQL / Informatica / Microsoft SQL / MySQL / Oracle SQL /PostgresSQL
04
Target support / Database
AWS SQL & NoSQL / Azure SQL & NoSQL / Databricks SQL /GCP SQL & NoSQL / MongoDB / Snowflake SQL
POSITIONING
Autonomous Modernization. Enterprise Accountability
Mechanized AI is an autonomous application-modernization factory backed by forward-deployed engineering and AI consulting.
CodeMap serves as the authoritative modernization intelligence layer. Modernization FDEs convert that intelligence into executable transformation plans. A modular agent layer—including CodeGen specialized agents—performs parallel execution. Mechanized AI validates functional equivalence, enforces architecture and governance, and carries transformed applications through controlled production release.
WHAT MECHANIZED AI SELLS
The differentiation is not another general-purpose coding agent. It is the modernization-specific intelligence, methodology, orchestration, governance, functional-equivalence validation, and repeatable transformation patterns required to modernize complex enterprise applications.
FROM STRATEGY TO PRODUCTION
Intelligence. Orchestration. Assurance. Outcomes.
Our approach
We guide clients through a structured, three-phase approach designed to identify opportunities, define impact, and deliver AI solutions that work in the real world.
Assess
We start by evaluating your organization’s current AI maturity, data readiness, and business priorities to uncover where AI can drive the most value.
Plan
We collaborate with your team to shape high-impact project opportunities, define project scope, and build strong business cases for investment.
Deliver
Using our mAI Factory platform, we build and deploy tailored AI solutions. Our delivery teams work side-by-side with yours to ensure successful integration and measurable results.
Featured project:
Patient Interactive Advocate (PIA)
We build high-fidelity digital humans and self-service technologies that deliver real-world impact. Read more to learn how PIA will help at-risk populations connect with critical health and social services.
Exploring AI for community health
We’ve developed a prototype for the Personal Interactive Advocate (PIA) — a conversational digital human designed to help underserved populations access critical services like food, shelter, medication, mental health care, and harm reduction. The goal? Reduce avoidable ER visits and hospital recidivism by guiding individuals toward the right support at the right time.
What's next
In collaboration with a national health insurance provider and a leading cloud platform, we’ll be launching a large-scale pilot to deploy PIA in high-need communities. This next phase will integrate real-time data from healthcare systems, shelters, and food banks to create a unified, AI-powered support network for crisis prevention and intervention.
See the prototype in action
Meet PIA — a digital human designed to guide people through some of the hardest moments of their lives with empathy, speed, and accuracy. In this short demo, you’ll see how PIA helps users:
• Find emergency shelter for themselves and their children
• Request transportation to a recovery program
• Connect with addiction and mental health support services
• Locate food banks, warm clothing, and essential supplies
Built on the Mechanized AI platform, PIA represents the future of human-centered AI — combining natural language, real-time data integration, and compassionate design to serve those who need it most.
Go from pilot to production fast with our custom AI solutions
Work with experts who know how to bridge the gap between experimentation and execution — at scale and on your terms.
