Modernize the applications holding the business back, without betting the year on a rewrite.
An assessment and engineering program that uses AI-assisted analysis to understand what your legacy applications actually do, then modernizes them in sequence against business risk and business value.
AIM Offer 06
The application everyone depends on is the one nobody wants to touch.
Every established organization has them. Systems that run something important, written by people who have moved on, documented inconsistently, integrated in ways discovered only when something breaks. The business case to replace them never quite clears, because the cost is visible and the risk of doing nothing is not.
So they persist, and the cost compounds quietly: security exposure that cannot be patched cleanly, a cloud migration that cannot complete, engineering time spent on maintenance rather than capability, and a dependency on a small number of people who are the only ones who understand it.
Full rewrites are the usual answer and the usual failure. They are expensive, multi-year, and they recreate a moving target.
Understand the estate properly, then modernize in the order that reduces the most risk.
AIM uses AI-assisted code and dependency analysis to establish what these applications actually do, what they connect to, and where business logic is buried. This is the step that traditionally consumes the most time and produces the least certainty. Doing it faster and more completely changes what is feasible.
From there we build a modernization plan that treats each application on its merits. Some should be retired, some replatformed, some refactored incrementally, some left alone and contained. We are direct about which is which, including where the honest answer is that an application should not be touched this year.
Delivery is incremental, with each increment reducing risk or returning capability, and with AI-assisted engineering used in delivery as well as analysis.
What you receive
- An application portfolio assessment covering business criticality, technical condition, risk and cost to run
- AI-assisted code and dependency analysis, including recovered business logic and integration mapping
- A disposition recommendation per application: retire, replatform, refactor, rebuild or contain
- A target architecture and cloud landing zone design where migration is in scope
- A sequenced modernization roadmap ordered by risk reduction and business value
- A business case covering run-cost change, risk reduction and engineering capacity released
- Delivery of the first increment
Business outcomes
- Documented understanding of applications that currently depend on individual people's knowledge
- Security and compliance exposure reduced in a defined sequence rather than all at once or not at all
- Cloud migration unblocked where legacy applications were the obstacle
- Engineering capacity moved from maintenance toward capability
Is this you?
- A critical application is understood by one or two people and documented nowhere
- A cloud migration has stalled on applications that cannot move as they are
- Security cannot fully remediate findings because the platform will not support the fix
- A rewrite has been proposed, priced, and quietly shelved more than once
- Vendor or framework support for something important is ending
- Most of your engineering capacity goes to keeping existing systems running
How it starts
A working session with the application owner and, where the driver is risk, with security. We identify which applications are genuinely constraining the business and whether the constraint is technical debt, knowledge concentration or architecture.
The portfolio assessment follows, and its first output is usually the one that changes the internal conversation: a clear-eyed view of what the estate actually contains.