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Operations engineering
Stop paying people
to re-type things
Most companies do not have a software problem. They have twenty small handoffs where a human copies data from one screen to another, chases an approval, or reconciles two systems that were never introduced. That is the work we remove.
A live flow, simplified
The same process, twice
Here is a supplier invoice arriving on a Tuesday. Nothing about the left column is unusual — it is what most finance teams do today, and it is why month-end runs late.
Manual
- Invoice lands in a shared inbox
- Someone downloads and renames the file
- Fields are keyed into the ERP by hand
- PO is looked up in a second screen to check the amount
- Mismatch found; an email goes to procurement
- Reply arrives two days later, buried in a thread
- Approval chased over chat
- Posted, filed, and the folder structure argued about
Late payments, no audit trail, month-end overtime.
Automated
- Invoice is picked up from the inbox automatically
- Fields extracted and matched against the PO
- Clean match posts straight to the ERP
- Anything ambiguous goes to one review queue, with the reason attached
- Approval requested in the tool the approver already uses
- Vendor record and payment schedule updated together
Roughly 90% posted untouched. The rest reviewed in seconds.
ERP and CRM, with an AI layer on top
You do not need to replace either system. Most of the gain sits in the work that happens around them — the entry, the chasing, the reconciliation. We add a decision layer that reads, matches and routes, then writes back into the record you already trust.
Finance, procurement, inventory and fulfilment — automated where the rules are knowable and reviewed where they are not.
Pipeline, service and retention — with the admin that sales teams quietly skip handled for them.
What it is costing now
A rough figure beats a vague feeling. Move the sliders to your own numbers — this assumes automation removes about 80% of the handling time, which is close to what we typically see on a well-scoped flow.
Indicative only. A proper estimate comes out of process mapping, where we time the real steps rather than guess at them.
998
Hours returned per year
₹4.5L
Estimated annual cost of the time currently spent on itHow a rollout runs
One process at a time, in production, before anyone talks about the next. Automations that fail usually failed at mapping — because the written process and the real one were different.
Which process would you not miss?
Name the one your team complains about most. We will map it, cost it, and tell you whether automating it is worth doing at all.
