Robust, Logged and Reproducible Iteration at Organizational Scale R package genproc version 0.2.0 Turns one-off iterative R procedures (such as for loops, lapply() or pmap() from 'purrr') into production-grade workflows by wrapping them with orthogonal, composable execution layers. Two layers are always active: structured logging with real traceback and per-case timing; and reproducibility capture, which records the R version, loaded package versions, execution environment, the exact iteration mask, and a stat-based fingerprint of every input file referenced in the mask (with a diff_inputs() helper to detect silent drift between runs). Parallel execution (built on the 'future' framework, Bengtsson (2021) <doi:10.32614/RJ-2021-048>), non-blocking background jobs, and opt-in progress reporting (via 'progressr') are implemented as optional, composable layers. Further layers (error replay, content-hash input fingerprinting, content-based case identifiers) are planned and will remain composable with the default layers. Software Imports: future, future.apply, parallel, progressr, stats, utils Suggests: dplyr, knitr, magrittr, purrr, rmarkdown, testthat (>= 3.0.0) Daniel Rakotomalala <rakdanielh@gmail.com> Comprehensive R Archive Network (CRAN) Daniel Rakotomalala [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=genproc/LICENSE) 2026-05-12 application/tgz https://CRAN.R-project.org/package=genproc doi:10.32614/CRAN.package.genproc en-US