Industries · Chemicals and pharma
AI for chemical and pharma makers: where it pays back first.
Short answer: in batch yield and in quality. Both swing with who is on shift, because the best operators run the batch on judgement that was never written down.
The three places
Where owners we meet start.
Batch yield
Capture how your best shift runs the batch, so every shift runs it that way. The number: yield per batch.
Deviations and release
Flag the batch your senior chemist would hold, before it goes further, with the reasons written down. The number: batches right first time.
Planning the campaign
Sequence products and changeovers the way your planning head would when capacity is short. The number: on-time dispatch.
How Intellumia does it
The Plant Engine, on your layer.
We sit beside your production and quality heads for two days, write down how the calls are made, and run them on your data. In 90 days we aim to move one number, measured against a baseline taken first. You own what is built.
Plant Engine: in build
Questions owners bring
Where does AI pay back first in a chemical or pharma plant?
Usually in batch yield and quality, because the batch records already exist and the cost of a failed or reworked batch is easy to count.
Do we need new software or sensors?
Not to start. The Decision Sprint works on the data you already have: batch records, lab sheets, SAP or Tally.
Will it replace my plant head?
No. It writes down how your best people decide and puts that judgement on every shift. Your people still decide and sign.
How long before we see a number?
Five days to see the first move and its number; 90 days to move it against a baseline taken first.
Who owns what is built?
You do: the rules, the decision record and the engine, on any AI model.