Every Interface Mapped.
Every Dependency Tracked.
Launch Layer auto-generates field-level mapping specs, transformation rules, and interface inventories from your architecture context — then keeps them current as systems change.
The integration challenge
Dozens of system connections, each requiring detailed functional specifications. Manual mapping is slow, error-prone, and brittle when anything upstream changes.
Dozens of connections, each needs an FSD
A typical SAP or Oracle transformation involves 50-200+ integration points. Each requires a functional specification document with field mappings, transformation logic, error handling, and validation rules. At 3-5 days per FSD, the math does not work.
Manual mapping breeds errors
Field-level mappings built in spreadsheets accumulate errors — mismatched data types, missing transformation rules, overlooked format differences. These surface as test failures weeks later, triggering rework across multiple documents.
One system change, many broken specs
When a source system adds a field, changes a data type, or modifies an API contract, every mapping that touches that system needs manual review. With 200+ interfaces, the blast radius of a single change is impossible to trace manually.
What Launch Layer generates
Source-to-target field maps
Ingest source and target system schemas, data dictionaries, and existing documentation. Launch Layer generates complete field-level mapping specifications — with data types, cardinality, and nullable flags for every field pair.
Transformation rules
Data type conversions, value lookups, concatenation logic, conditional mappings, and default value rules — generated from your architecture context and business requirements. Each rule is traceable to the source requirement that drives it.
Format mismatch flags
Automatic detection of data type mismatches, character set incompatibilities, precision loss risks, and format conflicts between source and target systems. Issues surface during spec generation — not during integration testing.
Complete interface inventory
A structured catalog of every integration point — source system, target system, direction, protocol, frequency, data volume estimates, and owning workstream. One view of the entire integration landscape.
When a system changes, mappings update
Integration specs are not static documents. They are live artifacts connected to your architecture context. When upstream systems change, affected mappings are flagged and regenerated.
Automatic impact analysis
When a source or target system schema changes — new fields, modified data types, deprecated endpoints — Launch Layer identifies every affected mapping spec, transformation rule, and downstream test script.
Mapping regeneration
Affected specs regenerate with the updated schema context. New fields get mapping suggestions. Changed data types update transformation rules. Deprecated fields are flagged for review — all without manual intervention.
Dependency-aware testing
Integration test scripts are generated from mapping specs and update when mappings change. When a system modification affects an interface, the corresponding test scenarios reflect the new expected behavior automatically.
From brittle spreadsheets to living integration specs
Integration leads spend their time on architecture decisions and exception handling — not maintaining field mapping spreadsheets that go stale the moment a system changes.
See automated integration mapping in action
Walk through how Launch Layer generates field-level mapping specs, transformation rules, and dependency-aware integration tests from your architecture context.