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Autonomy you can audit

Our agents do the hardest, slowest part of any supply chain programme in days. Here's the design choice that makes it safe to let them run.

Sushrut Khandelwal · 16 September 2026

Optaro

Hand our agents a folder of exports — ERP tables, spreadsheets, whatever shape they arrived in — and they go to work.

They profile every column. They work out which table is demand and which is supply. They find the joins between systems that have never spoken to each other, by looking at the values themselves rather than guessing from column names. They detect what grain each file sits at and whether it needs rolling up. They write the transformation logic to bring all of it onto a common model, dry-run it against your warehouse, read the errors that come back, and fix them. When they genuinely can't tell — when your data is ambiguous rather than just messy — they stop and ask a human.

Days, not a quarter of systems-integration work.

This is the part of a supply chain programme that has always been the bottleneck, and it's the part agents are unreasonably good at. It's judgement applied to structure, it's different at every customer, and it never stops changing. Exactly the work you want an autonomous system doing.

Then comes the part we deliberately made boring.

Every number the platform recommends is computed by a decision model: standard inventory theory for safety stock, the distribution of your own shipment history for transport lead times, time-phased projection for purchase order rescheduling. The same reviewed models for every customer, with your parameters. Run it twice, get the same answer. Trace any figure back through the model to the rows it came from.

That isn't caution about AI. It's the thing that makes autonomy possible.

Because the question that decides whether a system gets to act on its own isn't can it reach the right answer — it's can you tell afterwards why it did what it did. Agents that can explain themselves get given more rope. Agents that can't stay stuck in pilot.

The agents are what make it fast. The auditability is what makes it safe to let them run — and then to let them run further.