Professional services
Mainframe modernisation, at a pace that does not risk the business
Mainframes run because they work. The problem is usually cost, the shrinking pool of people who can maintain them, and the difficulty of connecting them to anything new.
The situation
It works. That is not the problem.
Mainframe systems are typically reliable and fast. What forces the question is licensing cost, staffing, and everything that has to be built around them.
- Licensing and MIPS costs rising each year
- COBOL and JCL skills concentrated in people near retirement
- New services needing data the mainframe cannot easily expose
- Batch windows constraining what the business can offer
- Business rules embedded in code and documented nowhere else
- A previous migration attempt that was abandoned
What it covers
What modernisation covers
These are genuinely different options with different risk profiles. The assessment establishes which applies before anyone commits.
Assessment
What runs, what depends on it, what it costs today, and what each option would realistically cost and risk.
Encapsulation
APIs in front of mainframe functions so modern systems can use them, without changing the mainframe at all.
Data offload
Replicating data off the mainframe for reporting and digital services, reducing load and cost without touching the core.
Incremental migration
Moving functions out one at a time behind a stable interface, verifying each against the original.
Re-platforming
Running the same application on cheaper infrastructure where the cost, rather than the code, is the problem.
Rule extraction
Recovering the business rules embedded in decades of code, which is often the most valuable output of the whole exercise.
How we work
How modernisation runs
Never as a single switch. Mainframe systems usually sit under something that cannot stop, so the sequence has to allow stopping at any point.
Assess and cost
Establish the real cost of staying and the real cost and risk of each option, rather than assuming migration is the goal.
Reduce dependency
Encapsulate and offload data so new work can proceed without waiting for the mainframe question to be settled.
Migrate in slices
Move functions out incrementally, running old and new in parallel and comparing results before retiring anything.
Retire, if warranted
Decommission only when nothing depends on it. For some organisations the right answer is a smaller mainframe, not none.
Outcomes
What you are left with
- Mainframe functions callable by modern systems
- Data available for reporting without adding mainframe load
- Business rules documented rather than held only in code
- Dependency on scarce skills reduced in stages
- A costed plan rather than a decision made on instinct
- The option to stop at any point with value already delivered
Platforms and tooling
What we work with
Mainframe
- COBOL
- JCL
- CICS
- DB2
- VSAM
- IMS
- AS/400
Target
- Java
- .NET
- PostgreSQL
- SQL Server
- Containers
Bridging
- REST APIs
- Message queues
- Change data capture
- ETL
Named as platforms we work with, not as formal partnerships.
Common questions
Questions we are usually asked
Not necessarily, and anyone who says yes before seeing your estate is selling rather than advising. For some organisations the right answer is encapsulation and data offload, keeping a smaller, cheaper mainframe running the workload it genuinely suits.
Yes, and it is the usual situation. Rules can be recovered from the code, the data and observed behaviour. It is slower than working from documentation, which is why the assessment exists and why incremental migration is safer than a rewrite.
Tools can translate COBOL to Java or C#, and they produce code that works and reads like translated COBOL. That may be acceptable as a step off expensive hardware, but it does not by itself make the system easier to maintain, and it should not be sold as if it does.
Most abandoned mainframe migrations were attempted as a single large replacement. Incremental migration behind a stable interface means value arrives early and the programme can be stopped without having wasted the investment.
Frequently, yes. Offloading reporting workload, tuning batch and removing unused processing can cut consumption-based costs meaningfully, and it buys time to make the larger decision properly.
Years for a full migration of a substantial estate, which is precisely why it should be sequenced to deliver value along the way rather than only at the end.
Talk to someone who has built this
Not a salesperson working from a form. Tell us what the problem looks like and someone who has delivered this kind of work will come back to you, usually within one working day.
Book a free consultationRelated
Where this usually connects
- Legacy modernisationFor the system nobody wants to touch but everything depends on.
- Data migrationMoving data between systems without losing its history.
- Cloud servicesMoving to cloud, or making an existing cloud estate behave.
- Systems integrationMaking the systems you already own talk to each other.
- APIs and microservicesConnecting platforms that were never designed to be connected.
- Application development and maintenanceBuilding it, then keeping it running and current.