Pipeline automation
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.
Pipelines that run unsupervised. Dashboards that read themselves. Fine-tunes, tracked. A workshop for the team that owns the uptime, not the announcement.
Wire askFinz into the way you already work. Deploy. Version. Run while you sleep.
Pin operational metrics to a build-your-own dashboard canvas. Forecasts and exports included.
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.
Storage with versioning, recovery and conflict resolution. The plumbing under the rest.
Drop a file, ask a question, get a chart. No formulas required.
More first-party MCP connectors for the systems your team already runs — landing inside Workflow as they ship.
Operations is the team that keeps the lights on — the people who own the uptime, not the announcement. These are the jobs the workshop already takes off the queue.
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.
Storage with versioning, recovery and conflict resolution. The plumbing under the rest — every artefact a workflow drops gets a versioned home, every overwrite is reversible, every audit answers itself.
The job a platform engineer ends up writing four times a year. Four steps across the workshop — most shipping today, with the build-your-own dashboard arriving soon — no glue scripts in someone's home directory.
askFinz is not your observability stack, your incident system or your CI runner. We don't replace Datadog, PagerDuty or the build cluster. The workshop produces the pipeline, the transformer, the dashboard, the snapshot you would otherwise stitch together by hand. The systems your platform team already trusts stay where they are; we just take the glue work off the queue.