The full procurement lifecycle - one agent.
Source·AI covers the entire source-to-contract surface area. Technical spec drafting, vendor discovery, RFI, RFP, offer parsing, evaluation, negotiation prep, and contract clause extraction. One agent. One audit trail. One defensible decision.
Ingest → reason → draft → execute → defend.
Five agent stages, fully observable. Every step produces a category-aligned artifact, signed by a human reviewer, with an immutable audit trail back to the stakeholder requirement.
Read the requirement
Stakeholder briefs, prior specs, reference drawings, P&IDs, ERP master data, category SOPs, approved vendor list. Everything parsed and indexed inside your tenant.
Classify & frame
CPV and UNSPSC codes assigned automatically. Category strategy applied. Market structure mapped. Threshold rules, internal policy, and incumbent risk surfaced before drafting.
Author artifacts
Technical specification, RFI, RFP, evaluation matrix with weights. Drafts match your approved template, clause library, and commercial boilerplate.
Parse & score
Multi-vendor PDF offers parsed into a structured comparison. Requirements mapped to offer clauses. Scores computed per your MEAT weights. Gaps flagged for clarification.
Audit on demand
Tamper-evident ledger. Every clarification, every version, every score traceable to source. Award file is ready for internal audit and procedural review on day zero.
What it reads. What it produces.
Source·AI connects to the data you already have and produces the artifacts your category team, legal, and audit function already recognise - nothing invented, nothing orphaned.
Data sources
- Stakeholder briefs, prior URS, category strategies
- Vendor offers (PDF, Word, Excel, email attachments)
- Approved vendor list, prior contracts, rate cards
- SAP Ariba, Coupa, Jaggaer, Ivalua, Oracle Fusion
- Drawings, P&IDs, BOMs, equipment master data
- CPV, UNSPSC, eCl@ss, NAICS classification corpora
- ERP spend data (SAP S/4HANA, Oracle, NetSuite)
Artifacts produced
- Technical specification with CPV / UNSPSC codes
- RFI, RFP, and ITT packages
- Requirement-to-offer traceability matrix
- Weighted evaluation matrix (MEAT)
- Gap report · clarification requests
- Award recommendation with defensible rationale
- Contract redline · clause library diff
HERMA labeling-machine procurement.
A packaging line needed a new labeling machine. Four vendors, 47 technical requirements, 280 pages of offer PDFs, and a commercial deadline in two weeks. Source·AI parsed the offers, mapped every requirement to every vendor clause, and produced the evaluation matrix in under a day.
Evaluation Matrix · LBL-0412
HERMA 362C · weighted score 89.4 / 100 · technical gap closed via clarification LBL-0412-C03.
SPEC-LBL-0412 → REQ-01…47 → OFFER-{HRM,KRN,SID,LAI} → SCORE
- Authored by Source·AI. Reviewed by category manager. Audit trail: every clarification.
Architected around the regimes that matter.
Source·AI produces award files that survive internal audit, external review, and - where applicable - procedural challenge. Compliance isn’t a policy memo; it’s how the system works.
Public procurement
Open, restricted, competitive dialogue, competitive with negotiation, innovation partnership. DPS and framework agreements. Proportionality and non-discrimination by construction.
Notice publication
Contract notices drafted to eForms schema. CPV coded. Thresholds respected. Publication windows respected. Defensible to the OJ archive on day one.
Model procurement law
Transparency, competition, objectivity, accountability. The four pillars of defensible procurement encoded in every evaluation.
US federal procurement
Source selection procedures, CLIN structures, representations and certifications, supplier responsibility determinations - mapped per category.
Data & cyber due diligence
Processor due-diligence questionnaires, supplier cyber-posture scoring, DPIA triggers - executed in-line during sourcing, not bolted on at contract.
Sustainable procurement
ESG scoring embedded in MEAT weights. Scope 3 disclosures requested in RFI. Human-rights red flags surfaced from supplier geography and sector.
Financial controls
Segregation of duties preserved. Agent authors; human approves. Tamper-evident evidence for materiality testing and controls testing.
High-risk AI governance
Human oversight, transparency, risk management, post-market monitoring. The agent’s own behaviour is governed alongside the procurement it executes.
Sits on your stack. Your data never leaves your tenant.
SAP Ariba
Bi-directional connector. Source·AI drafts, Ariba transacts. Or archive agent outputs as validated sourcing events.
Coupa
Sourcing Optimization, Contract Lifecycle, and Supplier Information handoff of agent-authored content.
Jaggaer · Ivalua
Enterprise sourcing and contract modules synced with agent outputs via validated connector.
Oracle Fusion Procurement
Requisition, sourcing, purchasing, and supplier management objects bi-directionally aligned.
SAP S/4HANA · Oracle
Spend master data, material master, vendor master, and PO history feed into category reasoning.
Icertis · DocuSign CLM
Clause library diff, redline proposals, and negotiation history synchronised with agent drafts.
EcoVadis · D&B
Supplier ESG, financial, and cyber risk scores pulled live into shortlisting and evaluation.
SharePoint · Google Drive
Prior specs, drawings, and offer archives - read-native, write with governance and retention policy.
Okta · Entra ID
Enterprise SSO, SCIM provisioning, role-based agent permissions by category.
- Qualitum sits on your stack. Your data never leaves your tenant.
4 vendors, 280 pages of offer PDFs, evaluation matrix in under a day.
A European packaging manufacturer deployed Source·AI for capex sourcing of a labeling machine. Instead of two category managers for three weeks, one category manager supervised the agent from spec to award file in under a week - with a full, clause-by-clause defensible trail to every score.
Stop authoring RFPs. Start awarding them.
Book a 45-minute working session with a forward-deployed engineer. Bring a real category, a real set of offer PDFs, or a real sourcing backlog.
Book a working sessionOr email hello@qualitum.ai