DimenAI is organised by practice rather than by sector. This is where the problems those practices were built for concentrate, and which one usually fits first.
Every card links through to the practice that usually fits it first.
A long supplier tail sends invoices, delivery notes and quality certificates in every layout there is, and somebody keys them into the ERP. Compliance records sit in folders nobody can search when an auditor asks.
KYC packs, loan files and claim documents arrive faster than they can be read, and every one of them carries personal data. The blocker on automation is rarely capability. It is what your risk function will sign off.
Batch records, validation documents and regulatory submissions have to stay traceable years after they were written. Contract manufacturing spreads them across organisations that do not share a system.
Engineering drawings, HSE records, RA bills and subcontractor invoices pile up across sites, and the person who needs a document is rarely the person who filed it.
Procurement files, correspondence and multi-year approval trails accumulate faster than anyone can index them. Where the data physically sits is not a matter of preference here.
A contract archive nobody has read end to end, and a review load that grows with headcount because the work is done by people reading. Confidentiality means the documents cannot leave.
Which is a division of labour rather than a limitation, and it is worth being clear about it early.
Retrieval, extraction, guardrails, private deployment and measurement. These behave much the same way in a chemical plant and in a bank, which is why we build them once and build them properly rather than assembling a different stack per sector.
Your documents, your regulator, your edge cases and your tolerance for being wrong. You know all four considerably better than we do, and the build gets shaped around them rather than around an industry template.
We ask more questions at the start than a firm with a pre-built industry module would. In exchange you get something fitted to how the work actually runs, thresholds you set yourself, and a baseline taken from your own volumes before anything is written.
These six are where the problem concentrates rather than a boundary. If the work is document-heavy, regulated or sensitive, the shape is usually familiar whatever the sector is called. Describe it and we will tell you straight whether it fits.
Anything touching SAP belongs to TechOrbit, the group’s enterprise technology firm, whichever sector it sits in. If that is what you need, we will make the introduction.
Describe the documents, the volume and the regulator. We will tell you which practice fits, or that none of them do.
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