AI-native traceability from findings to evidence
PEDCO AuditPro uses advanced AI and process knowledge graphs to connect audit results to the exact supporting documentation and sections—so every finding is defensible and easy to verify.
Why it matters
Traceability is where audits succeed or fail. Without it, findings are questioned, evidence is hard to verify, and teams lose time searching across repositories.
PEDCO AuditPro makes traceability reliable by using AI to understand unstructured content, build a structured representation of your processes and evidence, and link findings to the right sections—consistently and at scale.
What this capability delivers
Requirement → finding → evidence traceability, produced consistently across large document sets
Evidence links to the exact document, section, and context that supports (or fails to support) a requirement
A drill-down trail that's auditor-ready, designed for verification
Evidence inventories that can be included in audit packs and reports
Comparable traceability structure across sites, projects, suppliers, and programs
Traceability in action
Every finding linked to exact evidence—with clear, navigable references
Direct links to exact document sections
Requirement → finding → evidence chain
Precise references to source content
Drill-down trail for verification
How PEDCO AuditPro achieves traceability
PEDCO AuditPro combines three elements to enable consistent linking at scale
AI-based document understanding
To interpret unstructured policies, procedures, and supporting content
Process knowledge graphs
To connect standards, processes, and evidence into a navigable model
Structured audit outputs
That keep references stable and traceable from result to source
This is what enables consistent linking at scale—without manual tagging.
What counts as evidence (typical)
Traceability can link to various types of documentation and artifacts
Policies, processes, SOPs, work instructions
Templates and controlled documents
Work items and their linked documentation/attachments (e.g., Jira/Azure DevOps)
Approval records and governance documentation (where applicable)
UI + API
Integrated, not separate
Use the UI for evidence drill-down and review
- Open a finding and immediately see the most relevant supporting evidence
- Navigate to the precise sections without manual searching
- Validate and package evidence for audit preparation
Use the API to embed traceability into your ecosystem
- Retrieve traceability objects (findings, evidence links, references) programmatically
- Embed drill-down links in portals, dashboards, and governance tooling
- Automate evidence inventories for scheduled audit cycles
Common use cases
Audit preparation
Reduce back-and-forth by packaging evidence with findings
Executive review
Make findings transparent with clear, verifiable proof
Multi-site audits
Ensure consistent evidence standards across locations
Supplier governance
Attach defensible evidence trails to scorecards and assessments
Outputs you get
Evidence links tied to findings and requirements
Section-level references back to source content
Evidence inventories suitable for export and reporting
A traceability trail that supports auditability and governance
Built for scale: Traceability is generated automatically across large, unstructured repositories—powered by AI-native content understanding and a process knowledge graph foundation.