Sourcing event inside delegated limits. RFQ comparison RFQ-2026-014. Ready: Award packet ready for signature. Reader normalises bids, specs, and certification attachments. Rules compare totals to delegation and mandatory certifications. Reviewer cites price, lead time, and the delegation threshold. Verifier checks arithmetic and that certs are in the RFQ folder. You award, run committee, or request revised bids.
RFQ comparison · RFQ-2026-014
AI spend analysis
Analyse procurement spend with an AI agent that harmonises vendors, surfaces tail spend, and cites invoice lines behind every insight. Explore in the ProcureAI demo.
Try it in your browser in 3 steps
- Sign in to the ProcureAI demo workspace or upload an anonymised AP export in trial.
- Ask for a category view or vendor concentration report.
- Drill to supporting invoices — summaries always link to quoted lines.
What it checks
- Vendor alias clustering with confidence scores and manual merge queue
- Category reclassification suggestions against your UNSPSC or custom taxonomy
- Duplicate vendor registrations with overlapping tax IDs or bank details
- Period-over-period variance narratives tied to transaction IDs
Worked example on demo data
Spend Intelligence flags that four vendor names map to the same facilities provider on Aster Bank’s AP ledger, combining $640K annualised spend previously scattered under aliases.
It proposes a harmonised parent ID and lists the ten largest invoices driving the correction, each with a document reference.
Category managers accept or reject merges; nothing posts to master data without approval.
How your team stays in control
Insights are read-only until your data steward approves master-data changes.
Narratives without invoice citations are dropped by the verifier stage.
Exports respect your row-level security in enterprise deployments.
Spend analysis decks fail when nobody can trace a chart back to an invoice. The Spend Intelligence Agent in ProcureAI is built for traceability: every summary should open to the lines that justify it.
Upload an export or use demo data to see vendor harmonisation, category drift, and tail spend in one view — with Stellitron Intelligence quoting transactions instead of hand-waving averages.
When you are ready, a pilot connects to your feeds with the same human approval pattern as other ProcureAI agents.
Questions buyers ask
Do we need a clean data warehouse first?
Helpful but not required for a pilot. Many teams start with an AP export and iterate on harmonisation rules.
Can it forecast savings?
It highlights consolidation opportunities; savings estimates require your assumptions and sign-off — we do not invent ROI.
How is tail spend defined?
You set thresholds by category. The agent reports against those definitions consistently.
Is card spend included?
Scope depends on feeds you provide. Trials typically use AP invoice data.