The Native AI platform we use internally keeps n8n live on AWS while Analyzer and Report modules are tested locally in a semi-automated flow. By entering file paths manually we have completed 10k-row .sav transformations with 97% success; once the webhook panel ships, Excel and JSON uploads will run through the UI.
Built by Native AI, this platform unifies ingest, quality checks, report staging, and output storage in a single control surface.
Workflow, Analyzer, and Report layers are owned by the Native AI team. n8n runs on AWS today; Analyzer and Report are in local test with AWS migration scheduled.
Currently ingests Excel and JSON payloads when file paths are supplied; results are stored in the n8n data table.
In local testing; performs SPSS dictionary parsing and quality checks to emit Excel/JSON outputs.
Transform SPSS job data using n8n workflows. Select completed jobs and process them through the transformation pipeline.
Data moves between Analyzer and Report through n8n workflows backed by a two-webhook pattern.
The team loads the file into Analyzer; the n8n ingest node validates checksums and opens the job.
Analyzer separates the dictionary, normalises labels, and runs quality checks.
Analyzer prepares Excel and JSON outputs; for now we pass file paths to the n8n job manually until the webhook panel launches.
n8n keeps transformation outcomes versioned in the data table; webhook integration for the report pipeline is in progress.
The report module is being readied for PDF/DOCX export; completed records will land in AWS S3 for permanent storage.
Buttons point to the active environments; underlying workflows and components evolve every sprint.
Live on AWS. Manage workflow automation, the data table, and the upcoming S3 writer from here.
/n8n/
Open n8n
In local testing; handles SPSS .sav parsing, quality alerts, and soon will post Excel/JSON outputs to the webhook.
/spss/panel
Open Analyzer
Transform SPSS job data using n8n workflows. Select completed jobs and process them through the transformation pipeline.
/transformation/panel
Open Data Transformation
The PDF roadmap breaks the semi-automated flow into four layers from data ingestion to narrative generation.
The Excel dataset and `dictionary.json` enter the system. File paths are typed manually today; the web panel will automate this step.
The custom JS node inside n8n converts data into a human-readable format. Each project still needs developer updates while we build the dynamic version.
Prepared data is passed to OpenAI, which writes participant-level narratives. Outputs are captured in the n8n data table.
Manual reporting time drops, though developers still re-run failed jobs. Full automation is the target once we complete the AWS migration.
Highlights pulled from the Native Data Transformation Automation roadmap.
Standard `.sav` files will be uploaded via the in-progress panel, eliminating manual path entry.
The Analyzer module, now local, will move to AWS to generate Excel/JSON outputs and send them straight to the n8n webhook.
The custom node will read the `dictionary.json` dynamically, removing project-specific code edits.
Analyzer outputs will feed the report pipeline; refreshed PDF/DOCX templates will publish to Amazon S3 for archival.