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Solution · Modernization

AI-Ready Modernization

Rewrite what's holding you back — without freezing the roadmap.

We rewrite the legacy that's slowing you down — not blindly. We map what the system actually does and what it should do, then rebuild toward your users and your business outcomes, in parallel with the roadmap so delivery never freezes.

At a glance

Practice
Modernization
Engagement
Parallel modernization
Commitment
Scoped to the system

Best suited for
An established product on legacy systems while faster competitors gain ground.

Is this you?

The codebase fights us on every change, and competitors who started later are shipping faster.

That sentence is the problem this engagement exists to solve — one problem, solved end to end, not a program that promises everything.

How it usually shows up

  • Release cadence slowing while rivals speed up
  • A “modernize later” line item that keeps slipping
  • New engineers take months to get productive in the legacy code

The engagement

What we do.

Modernization is for the product that still pays the bills while the codebase fights every change and faster competitors gain ground. We rewrite the parts holding you back so the system is flexible, well-architected, and ready to grow against.

We don't do it blindly. We first build a real understanding of what the system does today — including the rules buried in the legacy code — and what it should do for your users and the business. The rewrite is aimed at outcomes, not a faithful copy of old behavior.

Your engineers build it with us, so the process to keep modernizing stays with your team after we leave.

The shift

We don't port the old behavior forward. We rewrite toward what your users need and the business has to hit — and leave the process with your team.

What’s included

What you keep.

Named deliverables, not a statement of intent. Every one is built with your team so it stays useful after we leave.

  1. 01

    Behavior and intent mapping

    We map what the system actually does today, including the tacit rules buried in the code, and align it with what it should do for users and the business.

  2. 02

    Architecture rewrite

    We rewrite the parts that resist change into a flexible, well-architected system, sequenced so nothing bets the company on a big-bang cutover.

  3. 03

    Framework and platform migration

    Move off dated frameworks and manual release paths toward an AI-native, agent-ready platform.

  4. 04

    Parallel delivery

    Modernization runs alongside your roadmap, so feature work keeps shipping rather than freezing.

  5. 05

    Repeatable process, left behind

    Your team learns the modernization process by doing it with us, and keeps running it after we leave.

The team model

Your engineers join our team.

This is the mechanism behind “the capability stays” — not a handoff meeting at the end, but how the team is shaped from day one. Every engagement runs on it.

  1. 01

    Day one

    Sigao teamYour engineers

    A senior-led Sigao team arrives with the process and the platform. Your engineers don't get displaced — they get invited in.

  2. 02

    In flight

    One team · one process

    Your engineers join our team — not the other way around. One Engagement Lead owns scope and quality, and everything is built in the open on your stack.

  3. 03

    After handoff

    Your team runs it · we leave

    Because your people co-built the work, they keep running it. The specs, patterns, and operating rhythm stay. The lift outlasts the engagement.

Sigao engineers & coachesEngagement Lead — one owner for scope and qualityYour engineersYour engineers, carrying the new system

The approach

How we run it.

  1. 01

    Understand

    Map what the system does today and what it should do — the current behavior, the constraints, and the outcomes the rewrite has to serve.

  2. 02

    Sequence

    Plan the rewrite in proven increments, each shipped safely, so there's no big-bang cutover.

  3. 03

    Rewrite

    Re-architect and rebuild toward outcomes with your engineers, while feature work keeps shipping.

  4. 04

    Hand off

    Leave a system that's ready for engineers and AI, and a process your team can repeat.

Proof

From a real engagement.

  • Nº 01

    FinTech · Lending

    PE-backed loan-management SaaS

    Legacy modernization on a spec-driven agentic delivery harness

    Challenge
    A market-leading loan platform on a legacy framework — comprehensive features, dated UX, hard to maintain — under pressure to modernize faster, on a tighter budget, in a highly regulated domain where quality, security, and control can't slip.
    Approach
    Reimagined the SDLC around AI-assisted planning, design, implementation, and verification. A spec-driven process — Product Brief → Feature Plan → UX Design → Specification — supported by specialized agents, with Azure DevOps as the shared context layer and governance, guardrails, and deterministic engineering standards throughout.
    Outcome
    A repeatable agentic development harness: engineers delegate more execution to agents while keeping judgment and control, technical debt is paid down incrementally, and modernization accelerates without abandoning engineering standards. The operating model for agent-led modernization.

Free · Modernization Readiness Assessment

Find out how ready your app is to modernize.

Twelve questions across the five factors that decide whether a modernization ships or stalls — scored on screen the moment you finish, with a board-ready PDF report to take away.

What you get

  • i.A readiness profile across the factors that make or break a modernization
  • ii.A recommended first move, sized to be approved
  • iii.A PDF report written for the budget conversation — yours either way

Prefer to talk first

Or put real edges around AI-Ready Modernization.

A conversation to understand the work, the constraints, and the shape this engagement should take for your team. If it’s not the right fit, we’ll say so.