Build the right AI workspace
Build a sourcing workspace with RFQ intake, tender analysis, quotation comparison, vendor records and spend analytics. Keep original quotation pages beside normalised comparison rows.
Control Shift develops AI Procurement Software UAE solutions for procurement and sourcing teams. Build a sourcing workspace with RFQ intake, tender analysis, quotation comparison, vendor records and spend analytics. Keep original quotation pages beside normalised comparison rows.
Build, integrate and automate
Control Shift scopes AI software for procurement and sourcing teams. Supplier quotations mix units, exclusions, payment terms and delivery assumptions. The cheapest visible line can conceal a missing item or a longer lead time.
Discuss this AI workflowBuild a sourcing workspace with RFQ intake, tender analysis, quotation comparison, vendor records and spend analytics. Keep original quotation pages beside normalised comparison rows.
Connect approved item masters, requisitions, supplier records and purchase-order interfaces. Preserve currency, unit-of-measure and project codes when preparing ERP drafts.
Illustrative project scope; not a claim of an existing customer deployment.
A language model prepares drafts from permitted context. Where document knowledge is needed, retrieval brings in approved sources with references. Restricted API tools handle only explicitly allowed actions. Validation, permissions and approval rules operate outside the model. If data is missing or a tool fails, preserve the draft and route it to a person.
Supplier evaluation should expose its criteria and evidence. AI cannot award a tender, infer a supplier certification or silently substitute a specification.
Agree data minimisation, access, retention and audit logging during discovery. Hosting and provider terms are confirmed for the project before sensitive data is processed.
Map one workflow with the people who operate it. Review sample inputs, prototype the draft and approval steps, connect the required interfaces, and agree acceptance examples. Launch to a limited user group with a manual fallback. Monitor corrections, unresolved requests and operating costs before expanding.
The proposal depends on interface access, data cleanup, language coverage and approval complexity. Share your current systems and an anonymised example of the task to define an affordable first phase.
It can organise evidence and highlight differences against your stated criteria. The procurement team makes the award decision and documents any exceptions before an order is issued.
Connect approved item masters, requisitions, supplier records and purchase-order interfaces. Preserve currency, unit-of-measure and project codes when preparing ERP drafts.
The buyer approves clarification messages, supplier selection and purchase orders. Supplier evaluation should expose its criteria and evidence. AI cannot award a tender, infer a supplier certification or silently substitute a specification.
Both languages can be included in the project scope. Evaluate representative messages and documents with bilingual reviewers, agree terminology and provide clarification or handover when meaning is uncertain.
Data quality, available interfaces, permission rules, document or message variety and approval complexity determine the work. Start with one workflow, agree acceptance examples and expand after a reviewed pilot. A tailored proposal covers implementation and ongoing operating requirements.
Agree permitted data sources, role-based access, retention and provider terms before development. Use restricted service accounts and audit records. Hosting and residency options require project-specific confirmation; no certification or blanket compliance promise is implied.
Share your current systems, sample inputs and the decisions that need human approval.
Discuss your AI project