Industry

Process Engineering Procurement

Procurement tooling for process engineers on pharmaceutical, chemical, and industrial plant projects. From initial RFQ to handover documentation.

Common challenges we help with

Finding qualified vendors for specialist process equipment takes too long and relies on existing contacts

AI supplier discovery searches the web and scores candidates against your sourcing brief with source-linked evidence. Results are presented clearly as unverified until your team confirms them.

Estimating equipment costs early enough to inform project sanction decisions

Project Costing normalises historical vendor data for currency, escalation, and geography. Build AACE-class estimates with low, expected, and high ranges per plant area, and convert any line into an RFQ when you are ready to market.

Process engineers spend disproportionate time chasing supplier quotations and documents

Structured RFQ workspace with supplier-facing quotation submission, auto-comparison, and document collection.

Equipment specifications and supplier responses need to be traceable from concept to installation

Audit trail linking every procurement decision to the user, timestamp, and specification version.

As-built documentation at project close is always incomplete

Vendor document register tracks completeness by document type. Handover package export is on the Phase 1 roadmap.

AI-assisted procurement tools raise questions in validated or safety-regulated environments

All AI suggestions require user confirmation before saving. Model, version, and confidence are logged on every inference.

What is built for process engineering today

  • Find specialist vendors in minutes with AI sourcing and source-linked evidence
  • Build AACE-class project cost estimates before going to market
  • Structured RFQ with equipment classification and criticality fields
  • Supplier-facing quotation submission with document upload
  • AI-assisted quotation comparison with human review and override
  • Vendor document register with per-certificate status tracking
  • Audit trail on all procurement actions, attributable to named users
  • Deviation register for supplier non-conformances and clarifications
  • Enterprise data isolation — project data does not cross client boundaries