Skip to main content
Private access is opening up — request an invite
askFinz
Solutions · Operations

Run the
platform.
Watch the
lights.

Pipelines that run unsupervised. Dashboards that read themselves. Fine-tunes, tracked. A workshop for the team that owns the uptime, not the announcement.

01 · workspace
Available
Code
A workspace for projects, not just files.
02 · workspace
Beta
Workflow
Drag, drop, automate.
03 · workspace
Available
Storage
Your files, organised.
04 · workspace
Available
Chat
One conversation, every model.
05 · workspace
Beta
Train
Fine-tunes, tracked end to end.
Today · jobs the room runs

Five jobs, one login.

Job 01
Automation pipelines

Wire askFinz into the way you already work. Deploy. Version. Run while you sleep.

Job 02
KPI dashboards

Pin operational metrics to a build-your-own dashboard canvas. Forecasts and exports included.

Job 03
Fine-tune jobs

Schedule in Train. Watch progress. Roll back when a deployment regresses.

Job 04
Code repos

Hold the project in Code — repositories, deployments, a pair-programmer that reads the room.

Job 05
File management

Storage with versioning, recovery and conflict resolution. The plumbing under the rest.

Workspaces · status
Workspace
Role
Status
Code
A workspace for projects, not just files.
Available
Workflow
Drag, drop, automate.
Beta
Storage
Your files, organised.
Available
Chat
One conversation, every model.
Available
Train
Fine-tunes, tracked end to end.
Beta
Soon

What's next.

Data
Coming soon

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.

Example workflows

Five lights the room keeps on.

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.

Flow 01

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.

Flow 02

Dashboard builds

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.

Flow 03

Fine-tune scheduling

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.

Flow 04

Code repos

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.

Flow 05

File management

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.

One workflow, end-to-end

Wiring a daily report from a third-party tool.

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.

  1. #
    Workspace
    Move
    Detail
    Status
  2. 01
    Workflow
    Cron the third-party pull.
    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.
    Beta
  3. 02
    Code
    Write the transformer.
    Open a Code project for the small transformer that normalises the upstream payload. Pair with the coding agent on the structure; the test pass runs alongside while you keep editorial control of the schema.
    Available
  4. 03
    Charts
    Drop the metric on a canvas.
    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.
    Coming soon
  5. 04
    Storage
    Snapshot for the audit trail.
    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.
    Available
What this isn't

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.

Questions

Frequently asked.

Does askFinz replace our observability or incident management stack?
No. askFinz doesn't replace Datadog, PagerDuty or your CI runner. The workshop produces the pipeline, transformer, dashboard and snapshot you would otherwise stitch together by hand — the systems your platform team already trusts stay where they are.
Does the Train workspace require deep ML expertise?
A working understanding of fine-tuning helps. Train is built for teams who want to adapt a base model to domain data without standing up their own training cluster — you don't need to be an ML researcher, but you should know what you're training toward.
Which operations workspaces are shipping today?
Code, Workflow, Storage, Chat and Train are in private access now. The Data workspace for structured-data analysis is on the roadmap. More first-party MCP connectors for common platform tools are landing inside Workflow as they ship.