Legacy System Modernisation

We eliminate legacy debt through an AI-driven reverse-engineering and modernisation approach. Our two-stage approach produces high-fidelity system blueprints, which are used to build a replacement system using Agentic Engineering. Our approach reduces delivery timelines, risk and cost, freeing up vital budget for innovation.

// BLOCKERS - WHAT HOLDS ORGANISATIONS BACK

  • The primary blocker is the time and effort it takes to reverse-engineer and validate sufficiently accurate and detailed functional and non-functional requirements. This has the effect of throttling the modernisation.
  • The secondary blocker is the very real risk of breaking a highly visible mission-critical service. Modernising is potentially damaging to the user experience and the reputation of the business. Consequently, boards view modernisation as “too risky,” causing indecision.

If your modernisation is being throttled by poor requirements, risk paralysis, lack of capability or regulatory constraints – we can help.

// SERVICES

Our Approach

Our two-stage approach can be contracted together or independently. Stage 1 generates the high-fidelity system blueprints. Stage 2 uses those blueprints to modernise or replace the legacy system using Agentic Engineering.

// legacy_modernisation.blueprint()

System Blueprint Generation

Reverse-engineering and validating a set of up-to-date legacy system blueprints that are deterministically traceable to source via deep links. These blueprints can be interrogated via a user interface, API, MCP interface and an agentic engineering team, establishing the foundation for Agentic System Modernisation.

The service combines a phased process, agentic modernisation platform and human expertise. It works by ingesting source code, documentation and institutional knowledge, from which it generates, enriches and validates a set of up-to-date system blueprints. The result is an order-of-magnitude increase in legacy system modernisation and incident resolution, eroding technical debt, risk and cost.

  • Interrupt22 expert squad: AI engineers, business analysts, developers and architects
  • Interrupt22 phased reverse-engineering and validation process: five phases designed to generate accurate, validated blueprints
  • Interrupt22 agentic modernisation platform: combines, enriches, distils and maps source code, documentation and institutional knowledge
Get in touch

// legacy_modernisation.build()

Agentic System Modernisation

Employing Agentic Engineering to instruct external agent-based AI tooling (e.g. Claude Code, OpenAI Codex CLI) to build a replacement system based on the generated legacy system blueprints. This agent-to-agent approach eliminates the need to grant the generating AI direct access to your secure legacy system.

  • Interrupt22 expert squad: proficient in Human-Led Agentic Engineering
  • Interrupt22 phased modernisation process: three phases to build, test and operationalise the replacement
  • Interrupt22 agentic modernisation platform: hosts blueprints accessible via user interface, API, MCP interface and agentic engineering team
Get in touch

// WATCH

Hear from our founders

Listen to our founders discuss the challenge of legacy modernisation and how we can help.

If your modernisation is being throttled by poor requirements, risk paralysis, lack of capability or regulatory constraints, Interrupt22’s Legacy System Modernisation service can help.

Get in touch with us