AI that works like an extra team member.

From data cleaning to risk analysis and reporting.
Overview

Trusply’s embedded AI reads, summarizes, and analyzes supplier data so your teams focus on action, not admin. It understands context, flags inconsistencies, and answers complex questions instantly.

Key benefits
  • Natural-language queries ("show me high-risk suppliers in Asia")
  • Automated risk scoring and ESG classification
  • Anomaly detection and data consistency checks
  • Smart summaries for board and audit reports
Use it for

decision support, audit preparation, and data enrichment.

Why it matters

Manual analysis cannot keep pace with dynamic supplier ecosystems. Embedded AI transforms raw inputs into structured, trusted signals—at scale.

Capabilities in depth

  • Retrieval-Augmented Generation (RAG): answers grounded in your verified supplier data and evidence documents.
  • Document parsing: extract certification dates, scope, and issuer automatically.
  • Classification: assign risk & ESG labels based on multi-field context, not single keywords.
  • Consistency checks: flag conflicting claims (e.g. sustainability score vs missing evidence).
  • Change detection: summarize what materially changed since last period.
  • Narrative generation: produce executive-ready summaries and audit trail briefs.

Example AI queries

  • "Summarize supplier onboarding gaps for Q2."
  • "Generate a board slide text about our risk posture evolution."
  • "List suppliers whose ESG classification conflicts with recent incident data."

KPIs influenced

  • Analyst hours saved
  • Time to produce audit-ready summary
  • % discrepancies auto-flagged before manual review
  • Accuracy of automated classification (human override rate)

Privacy & control

Your proprietary supplier data never becomes public model training material. Guardrails prevent hallucinated facts—answers cite source fields.

FAQ

Can we bring our own model? Roadmap includes pluggable model endpoints; current setup uses optimized provider instances with strict isolation.

Do you support multilingual input? Yes—queries and documents can be ingested in multiple languages; normalization preserves original text where needed.

How do you prevent hallucinations? RAG confines responses to retrieved, scored chunks; low-confidence assertions are flagged.