Anvik AI
Case study

EPC delivery intelligence

Connect engineering documents, approvals, and delivery evidence into one operational knowledge layer.

Project delivery teams work across specifications, RFIs, vendor data, deviations, approvals, and handover packs. Anvik connects those assets into an evidence graph so teams can answer impact and traceability questions quickly.

Impact snapshot
RFI triage
faster routing and response
Change impact
clear downstream visibility
Handover
retrieval-ready evidence packs
What made the problem difficult

Why this problem is hard.

Critical project knowledge was spread across long technical documents, email trails, logs, and controlled forms.

Change-impact questions depended on relationships between tags, assets, approvals, and downstream packages.

Handover and commissioning required evidence retrieval from multiple sources under time pressure.

What Anvik delivered

What we built.

Structure-preserving ingestion
  • Engineering specs, RFIs, approvals, and vendor documents ingested with section-level references
  • Stable evidence links for downstream retrieval and review
  • Support for table-heavy and technical documentation
Operational graph
  • Assets, tags, packages, vendors, approvals, and deviations linked into one context model
  • Cross-document entity resolution to reduce duplicate or conflicting identifiers
  • Multi-hop traversal for downstream impact analysis
Retrieval and workflow support
  • Question answering over RFIs, approvals, and package history
  • Evidence packs for reviews and handover
  • Grounded answers for engineering and project teams
Operational outcomes

What changed.

Faster triage for change-impact and review questions

Better visibility into dependencies before they became schedule risks

Quicker preparation of supporting evidence for project milestones