Janushift: Agentic AI for End-to-End Legacy Modernization

Janushift combines pre-configured AI agents with HTC’s CHARIOT harness to streamline legacy modernization from discovery and analysis to development, testing and transition, all through one integrated, governed workflow with human oversight.

Modernize legacy systems with AI precision, human governance, and full traceability

Agentic AI for End-to-End Legacy Modernization. Janushift combines pre-configured AI agents with HTC’s CHARIOT harness to streamline legacy modernization from discovery and analysis to development, testing and transition, all through one integrated, governed workflow with human oversight. COBOL, PL/I, legacy .NET and Java estates hold business rules known to only a few specialists, while manual programs find defects late and push risk to cutover. Janushift’s orchestrated agents reverse and forward engineer them in one harness-driven flow, built on a reusable knowledge repository.

Pre-configured AI agents working together through one integrated modernization workflow

Discovery and Reverse Engineering

Turn undocumented systems into trusted knowledge as agents parse every program, job and schema into syntax trees and map dependencies and dead code.

Business Rule Extraction and Documentation

Extract business rules cited to source lines, while analyst agents draft requirements documents, user stories, and business and architecture views in your templates.

Target Architecture Design

Define the target as architect agents propose bounded contexts and decision records, and experts choose to retain, replatform, refactor, re-architect or replace.

Code Generation and Testing

Generate cloud-native microservices, APIs, infrastructure as code, delivery pipelines and rule-traced tests, with build, test and security checks at every step.

Data Migration

Migrate DB2, VSAM, IMS and flat-file data as agents map schemas, run bulk loads and change data capture sync, and reconcile every record.

Data Migration Cutover and Operations

Cut over wave by wave as parallel runs prove equivalence with legacy in place, while operate agents detect drift, self-heal and roll back on failure.

Modernization you can trust, govern and own

Accuracy you can verify

Syntax-tree parsing delivers 95 to 99% structural accuracy, and lineage from legacy source to rule, code and test makes every output auditable.

Less reliance on scarce specialists

Agents capture knowledge directly from the code instead of interviews, so modernization is no longer paced by the few experts who know the estate.

Risk found early, not at cutover

Each phase ends with an artifact your experts approve before the next begins, so gaps and defects surface early instead of at go-live.

Lower cost with every program

A knowledge repository built once is reused by every later application, so the second project costs around 60% less than the first.

No lock-in, full ownership

A model-agnostic design lets you switch AI model providers at any time, while source code stays in your cloud and the accelerators become your intellectual property.

Accelerate toward outcomes

HTC’s CHARIOT harness orchestrates Janushift’s pre-configured agents through seven layers, enabling governed autonomy, validated outputs, and traceability throughout modernization.

Drives forward engineering in step with Janushift under the same harness, generating requirements, code and tests for the target platform.

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Janushift is part of HTC MAiGE, HTC's suite of modular data and AI accelerators, alongside OmniDev and Dataworks, which handles historical data migration.

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