MLOps architecture
Legacy modernization discovery
Sequence mainframe and packaged app changes so ML investments do not sit idle behind batch windows.
- Duration
- 9 weeks
- Format
- Hybrid discovery with stakeholder interviews
- Indicative fee
- ₩42,800,000
Overview
We build a heatmap of batch dependencies, integration latency, and skill bottlenecks. The roadmap sequences technical decoupling steps that unlock model value earlier rather than waiting for a mythical big replatform.
What is included
- Batch window analysis with claims close calendar overlay
- API façade patterns that avoid risky big-bang cutovers
- Cost model linking deferred work to lost ML upside
- Vendor negotiation talking points grounded in measured gaps
- Risk register with mitigation owners
- Six-quarter roadmap graphic for leadership
- Technical spike plan for top three unknowns
Outcomes you can inspect
- Executive-ready sequencing that acknowledges staffing reality
- Shared understanding of which ML use cases are blocked by which legacy constraint
- Spike backlog sized to two-pizza teams
Leo Park
Platform integration engineer specialising in claims cores and content services.
FAQ
No. It produces a roadmap and spikes; execution is scoped separately.
We partner with your mainframe SMEs; we do not claim deep COBOL authorship.
If leadership rotates mid-stream, expect a pause to revalidate priorities.
Experience notes
“The heatmap made trade-offs obvious. Some sacred batch jobs survived, but for defensible reasons now written down.”
“Talking points helped our negotiations without promising outcomes we cannot control.”