Most teams have a process that works — it just has too many manual steps in the middle. Someone checks a result and copies it into a form. Someone reads a summary and sends it to the right person. Someone checks whether a threshold was crossed and triggers the next step. These are not complex decisions. They're just repetitive, and the people doing them are too capable to be spending time on them.
AI workflow automation is coming to askFinz as part of the Workflow workspace, currently in beta. It's a visual canvas where you connect steps, add AI decision points, and let the process run — without writing code.
What makes this different from existing automation tools
There are plenty of workflow tools that connect apps with triggers and actions. What most of them cannot do well is reason in the middle of a process. They can check whether a number equals another number. They cannot read a document, decide what category it belongs to, extract the relevant fields, and route it accordingly — not without building a separate AI integration and stitching it in yourself.
The Workflow workspace coming to askFinz is being built with AI as a first-class step, not an add-on. The reasoning happens inside the workflow, not in a separate system you have to maintain.
What you can build with it
- Document processing pipelines. A document arrives, the AI reads it, classifies it, extracts what matters, and routes it to the right destination — without a human in the loop for the routine cases.
- Research-to-action loops. A scheduled trigger runs a research query, the AI summarises the result, and if a threshold or condition is met, it sends an alert or updates a record.
- Content workflows. Draft generation, review routing, approval steps, and publish actions — connected as a flow rather than a checklist someone has to manage.
- Data enrichment. Incoming records get supplemented with AI-generated context before they land in a database or a report.
Who this is being built for
Operations teams who have outgrown spreadsheet-based processes. Analysts who run the same workflow manually every week and know it could be automated but lack the engineering support to build it. Product teams who want to wire AI capabilities into their internal tooling without a development sprint.
The beta is open now for teams who want to shape the direction of the product.
The workspace connection
Because Workflow is part of askFinz, it can reach into the rest of your workspace. A workflow can draw on Knowledge for context, pass results to Chat for review, or feed outputs into a Charts dashboard. If your team has fine-tuned a model in Train, that model can become an AI step in a workflow. The pieces connect because they share a platform.
Request beta access to get early access.
Further reading
- Fine-tune and track AI models end to end — how to build the AI that powers your workflow steps.
- One AI workspace instead of ten browser tabs — why keeping the automation in the same place as the work matters.
- Zapier's blog publishes practical content on workflow design principles that applies broadly, regardless of the tool you use.