Which document flow should your first AI agent take off your team?

Questions from manufacturers.

• Which process should we start with?

  The one with the clearest payback: usually purchase-order and invoice matching, or order entry from email and WhatsApp. A 45-minute process review tells us the volumes and exceptions; if the maths does not work we say so. If nothing is obvious, the readiness assessment scores your top ten use cases.

• What does an automation sprint cost?

  From $10,000 (₹4L), fixed scope, one workflow live in production in 4–8 weeks, half upfront. The readiness assessment is from $6,000 (₹2.5L) and is credited at half its fee against a sprint booked within 30 days. Managed AI-ops, which keeps the agent running, is from $2,000 (₹1L) a month.

• We run ERPNext. Do you build inside it?

  Yes. Sigzen Technologies has implemented and supported ERPNext for a decade, and the agent is built on your instance through official APIs. ERPNext stays the system of record; the agent captures, matches and posts, and anything it cannot resolve goes to an exception queue your people handle.

• Our data is messy. Will it still work?

  Document flows are messy by nature, which is why every workflow has an exception queue. The process review checks your supplier master, item codes and purchase orders before we commit. If there is no system of record, we start with the assessment and a data-readiness check, not a build.

• Why would an exporter care about AI visibility?

  Because industrial buyers now ask ChatGPT and Perplexity for suppliers of a part or a certification before they open a directory. Once the first agent is live we baseline those sourcing prompts, write capability pages that engines can cite, and keep your directory and trade-press entries consistent.