Do you need access to our code before the first conversation?

No. The first conversation needs no repository access. Access for discovery is agreed before it is granted, and only for the scope we agree on.

How do you protect our code?

We use enterprise endpoints with documented data-use and retention terms, or deploy inside your environment. We do not opt client code into model training, and the data boundary and retention settings are agreed before access is granted.

Can we modernize only part of the system?

Yes. We can start with the capability that is most expensive or fragile to change, and the rest stays in place.

Who lands each change?

On a legacy codebase, the agent prepares each change and its evidence, and a person lands it. For authentication, billing, database schemas, data migrations and public contracts, a person approves each step before the next one starts.

Who owns what you build?

You own the code, prompts, evals, runbooks and project artifacts we create for you from the first commit. Pre-existing components, open-source libraries and third-party models stay under their existing licenses, with usage rights set out in the agreement.

How do you price a modernization project?

After discovery, we provide a fixed-scope, fixed-price proposal, so you know the cost before the build starts.

Legacy Software Modernization with AI

Modernize legacy software from what the code actually does

We use AI to read your codebase, trace business rules to the source and map the dependencies. Then we replace the parts that block change, one capability at a time, tracking what moves from old to new.

Let's talk See how it works

Moving a data warehouse or ETL estate to Microsoft Fabric, Snowflake, or Databricks? See Data Platform Migration.

Zero

Operational Downtime

40%

Avg. OpEx Reduction

100%

Cloud-Native Architecture

US-Managed

Engineering Standards

How it works

The code is the most reliable record of what your system does. We start there.

Read the code

We use AI to read the codebase instead of starting from interviews or old documentation. Within days you get a capability inventory, a dependency map and a risk register for the agreed scope.

Write down the rules

We document the business rules the code enforces. Each documented rule includes a reference to its implementation, so your engineers can check it against the source.

Plan the target

With the rules and dependencies on paper, we agree on the target design and a week-by-week plan for moving capabilities to it.

Replace piece by piece

Each capability you decide to replace is rebuilt next to the running system and tracked from old to new. The old system keeps working until the new piece has taken over.

Brownfield engineering

Change old code without breaking what the business runs on

In an old system, some behavior that looks wrong is what the business depends on. Three rules from our AI Factory method keep it intact while the code moves.

The old system is the test

Same inputs, compared answers

Where no trustworthy tests exist, the old and new paths run on the same recorded inputs. The new answers go to no one until they match, and every difference nobody declared upfront blocks the release. A match covers the traffic that was observed, so we name what it did not cover.

Pin today's behavior first

Before anyone changes a path, tests record what it does today, odd outputs included. Someone other than the person making the change writes them, and odd outputs go to the owner as questions, not fixes.

Done means the old code is unreachable

A module is finished when nothing in it calls the old implementation and that dependency is removed. A wrapper around the old code does not count as replaced.

Keep, wrap or replace

Not every part of a legacy system needs replacing. Once the rules are written down, each capability gets one of three decisions.

Keep

It works and rarely changes. It stays in place, and the behavior you depend on gets tests around it.

Wrap

The core is sound and the gap is around it. We add API, reporting or workflow layers instead of rebuilding.

Legacy Workflow Modernization Sprint

Replace

It blocks change. We rebuild it on the target platform, one capability at a time.

CapabilityLegacy systemTarget platform

Pricing rulesReplace
Retired
Live on the new platform
Order entryReplace
Running in parallel
Being rebuilt
ReportingWrap
Still in place
API layer on top
InvoicingKeep
Still in place, tests pinned
Not moving

Illustrative example: every capability carries a decision and a status from old system to new.

How each change is accepted

Replacement uses the same evidence rules as our AI Factory, and a person lands each change. A change ships when its evidence is in place, not when it looks finished.

A test that catches a break

Before a change ships, we break the behavior on purpose and confirm the tests covering it go red.

Evidence on the exact commit

Each change carries the intent it was built against and the checks it passed, tied to the commit that ships.

A rehearsed way back

The revert to the last green build is rehearsed before release, so restoring it is routine rather than an incident.

The nine landing gates of the AI Factory, each with its passing condition and its named fallback — The nine gates every change passes or falls back from. What an AI factory is

The Economics of Modernization

Stop bleeding OpEx on server maintenance. Modern infrastructure pays for itself.

-40%

IT Infrastructure Costs

Eliminate on-premise hardware, legacy licensing fees, and emergency server maintenance.

10x

Faster Release Cycles

Automated CI/CD pipelines replace manual deployment, allowing you to ship features in hours, not weeks.

99.99%

SLA Uptime

Auto-scaling cloud environments handle traffic spikes automatically without crashing.

What stays with your team

The knowledge that lived only in the code ends up in documents and tests your engineers can maintain.

The capability inventory, dependency map and risk register
The business rules, each linked to its implementation
The target design and the week-by-week plan
Tests that pin the behavior you agreed to keep
A change record with the evidence for every release

Case studies

Modernization work our team delivered

See all case studies

Public Sector SoftwareAbout 50tables and schemas migrated to the new warehouseHow a software provider moved its analytics to AWS and got data to its teams soonerRead the case study Pharma & Life SciencesAutomatedrisk calculations in place of manual assignmentHow a global pharma manufacturer stopped assigning supply risk by handRead the case study Software & IT OperationsAbout 90%less refresh time for a key datasetHow a global software company cut a key dataset refresh from about 40 minutes to about 4Read the case study

Enterprise Migration Security

Your data integrity is our top priority.

Recovery plan agreed before migration NDA terms agreed where needed US-Managed Delivery

Questions engineering leaders ask

Get in touch

Tell us about the system you need to move off

Name the system, the stack and what it blocks today. We reply within one business day and tell you whether a code-first modernization fits, and where we would start.

Email us directly

sales@3alica.com