Workflow.
Drag, drop, automate.
A visual pipeline builder. Wire askFinz into the way you already work — triggers, steps, AI calls, retries. Pipelines that run while you sleep.
A visual canvas for every automation — flows, tools, APIs and databases in one place.
Workflow ships today as a full flow builder. You get a drag-and-drop canvas for building automations, a tool-server registry so your flows can call anything, a credential store for the APIs they need, and direct database connections for reading and writing data — all managed from one dashboard.
Open the flow editor and drag in nodes — inputs, outputs, AI steps, logic branches, HTTP calls. Connect them up, give the flow a name, and it is live. No code required to get from idea to running automation.
Register any tool server your flows or agents need to call — add the endpoint, pick the transport and drop in your credentials. Every flow in the workspace can reach it from that point on.
Add a credential once — name, key, header pattern. Every flow in the project inherits it. Rotate a key in one place and every flow picks up the change without touching the canvas.
Register a database connection and drop it into any flow as a read or write node. Flows can query, filter and upsert without leaving the canvas — no separate integration layer.
Flows, tool servers, credentials and a live canvas.
A scripted walk-through — the dashboard cycling through the Projects, Tool Servers and API Keys tabs, then opening the flow editor canvas where a trigger pulse travels through five nodes. The real surface lives at workflow.askfinz.ai.
What ships today.
workflow.askfinz.ai·BetaWorkflow is in beta. These features are live but still being refined based on early user feedback.
- Visual pipeline canvas — drag nodes, connect them, build automations without writing code
- Triggers from multiple sources — schedule, webhook, email, file upload or manual start
- AI steps that think — call Chat, Research or custom models mid-pipeline, use the output in the next step
- Retry logic and error handling — steps fail gracefully, retry with backoff, route errors to dead-letter queues
- External service integrations — connect to Slack, GitHub, Google Sheets, Airtable and dozens more with pre-built nodes
- Pipeline templates — start from proven patterns for common tasks like daily reports or data ingestion
- Execution history and logs — see every run, inspect inputs and outputs, debug failures step by step
Where Workflow runs.
One account, many surfaces. Workflow is reachable from the surfaces lit below. Sign in once, pick up where you left off — your threads, files and history follow you across every surface.
Operations and product teams who repeat the same multi-step process every week can wire it into a visual pipeline and let it run on a schedule or a trigger. AI steps can call Chat or Research mid-pipeline, and every run is logged so failures are easy to diagnose.
Read the guide: Build AI workflow automations visuallySee also — other vertical workspaces.
Workflow shares one login, one memory and one model layer with every other workspace under askfinz.ai.
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