Vertical / Financial LegacyCOBOL · mainframe · core banking

COBOL runs the world.
We help it run
on something else.

Roughly 40% of banking systems still run on COBOL. The engineers who built them are retiring. The batch windows are shrinking. The audit requirements are growing. Parity rebuilds financial legacy systems with provable parity — bit-level test coverage, shadow-traffic replay, zero-downtime cutover, and a regulatory audit trail built into every change.

§1The state of financial legacy in 2026

Four problems that arrived
at the same time.

  1. 01

    The talent cliff

    The last generation of COBOL engineers is retiring. Most banks can't hire replacements at any price — and every line of undocumented JCL becomes an operational risk the moment its author walks out the door.

  2. 02

    The batch window is closing

    Twenty-four-hour trading, real-time settlement, and global operations have killed the overnight batch. Systems designed for 6-hour processing windows now run in 45-minute slivers — and one bad deploy blows the window for the whole day.

  3. 03

    Compliance is immovable

    SOX, PCI-DSS, NIST, GLBA, OSFI — every migration has to preserve the audit trail, the approval history, and the data lineage. Most modernization projects stall here: the auditors won't sign off on a system they can't replay.

  4. 04

    Integration debt compounds

    The core is surrounded by thirty years of adapters, ESB pipelines, message queues, and screen scrapers. Touch the core and the perimeter breaks. Touch the perimeter and the core becomes unreachable. Most teams freeze.

§2The Parity approach

Rebuild with parity —
then decommission with confidence.

Financial systems can’t be rebuilt on vibes. The validation framework matters more here than anywhere else we work: nothing ships to production until the new system behaves identically to the legacy one, under real traffic, across millions of transactions.

  1. 01

    Shadow-traffic replay

    Every piece of the new system runs side-by-side with the legacy for weeks. Real production traffic is mirrored to both. We compare outputs byte-for-byte and escalate every divergence before the old system is decommissioned.

  2. 02

    Bit-level parity test suite

    For financial systems, "close enough" isn't. Our parity suite verifies arithmetic results, rounding behavior, timezone handling, and transaction ordering match legacy exactly — across millions of synthetic and replayed transactions.

  3. 03

    Regulatory audit trail — by default

    Every code change, every spec update, every validator run is logged to an immutable audit stream. When your auditors ask "why did this calculation change on March 14," we replay the answer in under a minute.

  4. 04

    Zero-downtime strangler cutover

    Feature by feature, traffic is shifted from legacy to new. Each shift is reversible in seconds. The legacy system stays live until parity hits 99.999% — and only then does the lights-out decommission begin.

§3Typical migration paths

Every rebuild is bespoke.
Most touch these.

LegacyModern target
  1. Mainframe / z/OSAWS · Azure · GCP
  2. COBOLJava · Node.js · Go
  3. CICSREST · gRPC · event bus
  4. JCL batch jobsTemporal · Airflow · Step Functions
  5. VSAMPostgreSQL · DynamoDB
  6. DB2PostgreSQL · BigQuery · Snowflake
  7. IMSPostgreSQL · document store
  8. Green screens (3270)Modern web · native mobile
  9. MQ SeriesKafka · NATS · PubSub
  10. RACFOIDC · SAML · IAM
§4Sample engagement

A typical COBOL core-batch rebuild.

// representative sample. real engagement details shared under NDA on intro calls.

ClientTier-2 North American bank
ScopeCore settlement + reconciliation batch
Timeline14 weeks
StatusDecommissioned
Legacy stack
legacy/system.map
runtime: IBM z/OS 2.4language: COBOL 85 (2.3M lines) tp-monitor: CICS TS 5.6database: DB2 for z/OS + VSAM indexed files scheduler: JCL + IBM Tivoli Workload Scheduler interfaces: 3270 green-screens, MQ Series, SFTP batch window: 04:0006:30 EST (shrinking quarterly)
Target stack
target/system.map
runtime: AWS (us-east-1, us-west-2) language: Java 21 / Spring Boot (microservices) api: gRPC internal, REST external database: PostgreSQL (Aurora), Redshift for reporting scheduler: Temporal (durable workflows) interfaces: Web SPA, OpenAPI, Kafka streams window: real-time + elastic batch
Validation framework — live parity stream
eval/parity.streamlog
▸ parity suite — week 11, shadow-traffic replay2026-03-14 04:00:01 batch.settlement PASS 847,293/847,293 txns 2026-03-14 04:00:01 batch.fx-conversion PASS 412,108/412,108 txns 2026-03-14 04:00:01 batch.interest-calc WARN 8,341,220/8,341,221 (1 rounding delta) 2026-03-14 04:00:02 batch.aml-screening PASS 1,204,900/1,204,900 txns # delta flagged — routed to eng-oncall + compliance# resolved in 47m — legacy banker's rounding applied to target#→ week 11 parity rate: 99.9998% (target: 99.999%)→ cutover gate: GO
99.9998%final parity rate · 11M txns
0post-cutover rollbacks
−68%infrastructure cost
batch window headroom
Start the audit

Bring the COBOL system you've been postponing.

A Parity Audit for a financial legacy system runs three weeks and produces a migration plan, a parity test strategy, and a concrete decommission path. Ready when you are.