May 2025 (navikt/helse-spleis) delivered Self-Employed Income Data Format Support to strengthen application processing for self-employed applicants. The work focused on updating the data model and message handling to parse and utilize the updated income structure from applications, including revised JSON path references and data mappings. This enables accurate ingestion and downstream processing of the new income format, improving eligibility decisions and data quality.

April 2025 monthly summary focusing on key accomplishments, major bugs fixed, and overall impact across two repositories (navikt/helse-spleis and navikt/helse-sparkelapper). Key feature delivered: Robust Employer Information Request and Processing Across Periods in helse-spleis. This feature consolidates changes to improve correctness and completeness of employer information requests, including handling of period transitions with gaps, self-reported days, replays of income messages, and related internal refactors to streamline data structures. In parallel, a targeted bug fix in helse-sparkelapper removed an unnecessary precondition related to tilstand as part of the logic migration to spleis. Key achievements: - Delivered robust Employer Information Request and Processing Across Periods in helse-spleis, handling period transitions (gaps), self-reported days, and income-message replays with refactored data structures. - Implemented replay-aware data gathering and request logic (opplysningerViTrenger) for AUU scenarios and replays, reducing missing or duplicate employer data requests. - Simplified request flow and state handling with new logic for sending requests to HAG, and refined flags (erPotensiellForespørsel) and status checks to avoid unnecessary requests. - Fixed critical bug in helse-spleis: corrected erroneous employer-period requests and improved handling during AUU and replay of income messages. - Fixed bug in helse-sparkelapper: removed an unnecessary precondition (tilstand) in TrengerArbeidsgiveropplysningerBegrensetRiver.kt, aligning with the spleis-driven logic. Overall impact and accomplishments: - Improved data correctness and reliability in employer information gathering, leading to fewer manual interventions and faster case resolution. - Enhanced processing throughput for sickness benefits by reducing redundant requests and ensuring complete data is available when needed. - Strengthened maintainability through refactoring, clearer data structures, and replay-aware workflows. Technologies/skills demonstrated: - Stateful workflow refactoring and data-model simplification in Kotlin-based services. - Replay handling for income messages and period transitions. - Clear separation of concerns between data gathering (TrengerArbeidsgiveropplysninger) and request dispatch (AUU), with safer flag usage and status-driven logic.

March 2025 focused on reliable income handling and GraphQL API exposure for periodized income in the navikt/helse-spleis repo. Deliveries improved accuracy for vedtaksperioder and laid groundwork for future data integration, reinforcing business value through more reliable processing and better visibility into periodized income.

February 2025 monthly summary for navikt/helse-spleis focused on delivering business-critical improvements in income handling, payout calculations, and data reliability. Key features were implemented to support income changes, their timelines, and correct cut-off points for payments, along with improved data mapping from applications and soft-launch support for cases without income statements. The month also included integration work for refunds, governance improvements, observability enhancements, and ML data readiness to accelerate training and evaluation loops. Overall, the team advanced core eligibility logic, improved user-facing correctness, and strengthened system observability and data quality to enable faster, more accurate decision making.

January 2025 delivered robust data handling, bug fixes, and dependency improvements across three repositories. Key features included OpphørAvNaturalytelser refactor with structured data and mandatory field validation, logging for discrepancy scenarios, and the removal of the out-of-order warning to streamline operator workflows. Implemented preconditions to ignore requests from ARBEIDSLEDIG, SELVSTENDIG, and FRILANS in Sparkelapper, with tests to prevent erroneous processing. Addressed an edge-case in VedtaksperiodeGodkjent for a specific behandlingId and completed dependency upgrades (rapids, rivers, tbd-libs) for stability and compatibility. Overall, these changes improve data integrity, reduce manual checks, and strengthen compliance with reporting requirements.

December 2024 monthly summary for the navikt/helse-spleis repository. Focused on delivering proactive data ingestion, improved error handling and user feedback around cutoffs, and robustness and observability improvements. These changes reduce processing delays, improve data quality, and provide clearer operator feedback, driving business value in data completeness, reliability, and analytics.

November 2024 monthly summary focusing on delivering business value and technical excellence across helsespleis and helse-spre repositories. Key achievements include A-Ordningen income data integration with GraphQL event handling, improved sykepengegrunnlag propagation for Speilvendt, and enhanced observability and auditability. Critical bug fixes were implemented for AGP handling with audit logs. The work lays groundwork for more accurate taxation/benefits calculations and stronger traceability.