Spreadsheet-database platform built in Delhi.
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Free plan
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Traditional automation connects apps and passes fields between them. AI workflow automation adds judgement to the middle of that chain: classifying an email, extracting fields from an invoice, drafting a reply, deciding which branch to take. For Indian back offices drowning in documents and approvals, this is the most immediately useful application of AI, provided the exceptions still reach a human.
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Automate a process you have already documented. Automating a messy process encodes the mess and makes it harder to fix.
Insist on a human-in-the-loop step for anything financial or customer-facing, and check the tool supports it natively.
Price it per run at real volume. Step-based and credit-based pricing diverge enormously once a workflow runs thousands of times a month.
Schedule a demo
Conventional automation follows fixed rules: when X happens, do Y. AI automation adds steps that interpret unstructured input — an email, a PDF, a photo — and decide what to do, which lets it handle processes that were previously impossible to script.
For extraction and routing with a human approval step, yes, and that is how most Indian finance teams deploy it. Fully autonomous financial actions still warrant caution and a clear audit trail.
Most platforms charge per task, step or credit. Simple automations cost a few rupees per run; document-heavy AI steps cost considerably more, so estimate with your real monthly volume.
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