Modernize legacy systems without a multi-year rebuild.
How engineering leaders in aviation, retail, and pharma are applying AI-assisted development to shorten delivery cycles, raise team output, and reduce transformation risk — without replacing the systems the business depends on.
LockedWhere modernization stalls
An AI-assisted delivery model
Written for you if
- You lead an engineering organization of 100+ and rely on systems built over many years.
- Modernization keeps stalling on budget, timeline, and delivery risk.
- You're evaluating AI-assisted engineering beyond isolated pilots.
- You'd rather strengthen your own teams than hand delivery to an outside vendor.
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Reported acceleration across modernization and delivery work
To map and document legacy codebases — measured in weeks, not quarters
Engineer organizations this report is written for
Rip-and-replace required to start seeing results
What's inside
Four chapters written for leaders who have to deliver, not just decide.
Make legacy code legible
How AI tooling helps teams understand sprawling, heavily customized systems before touching them — so refactoring starts from facts, not guesswork.
Accelerate transformation
Where AI-assisted refactoring, documentation, and test generation move the needle most, and how to sequence work to compound the gains.
Raise the productivity floor
Practical patterns for automating repetitive engineering tasks and freeing senior engineers for the work only they can do.
Measure what matters
A simple model for setting baselines, tracking acceleration, and proving impact to the board without vanity metrics.
The challenge
Decades of software keep the business running — and keep it stuck.
Established enterprises in aviation, retail, and pharma run on complex, heavily customized systems. They're critical, they're fragile, and they're expensive to change. Customer expectations, cloud adoption, and the pressure to ship faster all push toward modernization — but the traditional path means big budgets, long timelines, and real delivery risk.
The shift
AI-assisted engineering changes the math.
Modern AI-enabled platforms help teams understand legacy code, accelerate refactoring, generate documentation and tests, and automate repetitive work. Early enterprise adoption shows acceleration commonly in the 20–50% range — strongest in documentation, testing, code analysis, and routine development. The result: modernize faster, without betting everything on a full replacement.
Where Dedicatted comes in
Experienced teams. Modern methods. Shared delivery.
Internal teams know how to maintain and evolve legacy systems, but often have limited exposure to AI-assisted development and modern modernization methods. We bridge that gap collaboratively — and leave your organization stronger than we found it.
One team, not a hand-off
Our engineers work alongside yours as a single organization — sharing context, standards, and ownership rather than throwing work over a wall.
Modern practices, transferred
Cloud-native, platform engineering, and AI-assisted workflows introduced in the flow of real delivery, so your teams keep the capability afterward.
Augment, don't replace
Your people know the legacy. We add the modern engineering muscle to move faster — accelerating transformation while building internal strength.
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