Pipelines that run unsupervised. Dashboards that read themselves. Fine-tunes, tracked. A workshop for the team that owns the uptime, not the announcement.
Today · in private access
Read straight off the registry. A roadmap workspace is badged as one wherever it appears on this page.
Today · what you can do
Wire askFinz into the way you already work. Deploy. Version. Run while you sleep.
Schedule in Train. Watch progress. Roll back when a deployment regresses.
Hold the project in Code — repositories, deployments, a pair-programmer that reads the room.
Boards and sprints in Projects, sitting next to the repositories and pipelines the work actually lands in.
Storage with versioning, recovery and conflict resolution. The plumbing under the rest.
One workflow, end-to-end
One chain of moves, with the roadmap step badged as one so nobody plans around it.
Build a Workflow pipeline that pulls from the third-party tool on a daily schedule. Triggers, retries and the AI step are visible nodes on the canvas, not buried in a config file.
Open a Code project for the small transformer that normalises the upstream payload. When the upstream format is ambiguous, check it against the published specification instead of guessing; pair with the coding agent on the structure while you keep editorial control of the schema.
Pin the normalised values into a Charts canvas — your own build-your-own dashboard, one tile per metric, forecasts and exports included. The canvas becomes the daily artefact the team checks at standup.
Each run drops a versioned snapshot into Storage — raw payload, transformed payload, dashboard export. When someone asks 'what did this look like on Tuesday?', the answer is one folder away.
askFinz does not replace your observability stack, your pager rotation or your CI runner. It produces the pipeline, the transformer, the canvas, the snapshot you would otherwise stitch together by hand. The systems your team already trusts stay exactly where they are.
Shapes of work
Wire askFinz into the way the team already works. Cron the third-party pulls, schedule the AI step, drop the artefact into Storage. Triggers, retries and the AI call are visible nodes on a canvas — not buried in a config file.
Pin operational KPIs onto a Charts canvas — one tile per metric, forecasts and exports included. The canvas becomes the daily artefact the team checks at standup; weekly and monthly variants share the same source.
Train runs and eval sweeps end to end — from queue to deployment. Watch the curves, ship the result, roll back when a deployment regresses without losing the comparison data.
Hold the project in Code — repositories, deployments and a pair-programmer that reads the room. Refactors, test backfills and design docs get drafted alongside the diff, not after it.
What the transformer checks against
Ops work is mostly your own data. These are the two public references it is worth checking a payload or an error message against before guessing.
Building the product rather than running it? The developer use case covers that side.
Not available yet
A self-serve dashboard and reporting workspace — connect your data, drag fields onto a canvas, build charts and share them. Like Power BI, native to askFinz.
Drop a file, ask a question, get a chart. No formulas required.
Questions
We'll go through what is in private access, what is in beta, and what is honestly not there yet.
