Subcontractor Certification AI Agent

The Subcontractor Certification AI Agent brings AI to subcontractor management within DANAOS ProjectVIEW AI. It is designed to check each payment certificate against the subcontract rates, measured progress, variations and retention terms in ProjectVIEW ERP, and to flag differences, delayed certifications and commercial risk. The subcontractors manager or quantity surveyor approves every certificate. It is also designed to reconcile subcontractor invoices automatically against the contract, the approved certifications and the payments already made.

The agent works on the data in the Subcontractors Management module of ProjectVIEW ERP, linked to the same BoQ, WBS and Cost Codes as the main contract.

• Subcontracts, rates and scope by BoQ item
• Measured progress and previous certificates
• Approved and pending subcontract variations
• Retention, advance payment and deduction terms
• Back-charges and payment history

The agent follows the ProjectVIEW AI agent cycle. Applied to subcontractor certification:

1. Detect: find certificate lines where claimed quantities or rates differ from the subcontract or from measured progress.
2. Investigate: check previous certificates, approved variations and site records for the same items.
3. Explain: state the reason for each difference, for example a quantity claimed ahead of measured progress.
4. Recommend: propose certified amounts, retention and deductions line by line.
5. Request approval: send the draft certificate to the subcontractors manager.
6. Execute: after approval, record the certificate in ProjectVIEW ERP.
7. Audit: log what was claimed, what was recommended and what was certified.

The agent can also answer questions such as “Which subcontractors represent the highest commercial risk?” across a project or a portfolio.

Main inputs, outputs and decision points:

The Subcontractor Certification AI Agent works inside ProjectVIEW ERP governance, following the chain Identity → Role → Permission → Data → AI → Action. It sees only the data the user’s role allows and proposes only actions that role could take. AI should operate inside enterprise governance, not around it.

• Consequential actions always need human approval.
• Every recommendation, approval and change is recorded for audit.
• Data stays in the client’s private environment and is not sent to public consumer AI services.

Illustrative example. A contractor receives a monthly payment application from a mechanical subcontractor on Project C.

The agent finds that two lines claim quantities above measured progress and one line uses a rate from a variation that is still pending. It also notes that retention on this subcontract is close to the agreed cap.

It drafts a certificate with the claimed quantities reduced to measured progress, the pending variation held, and retention adjusted. The quantity surveyor checks the flagged lines, the subcontractors manager approves the certificate, and the record is kept for audit.

The agent is designed for the people who manage subcontract packages:

• Subcontractors managers who approve certificates and manage commercial risk
• Quantity surveyors who measure and certify work

It applies to construction and to other project-based industries that rely on subcontractors, including shipbuilding and repair and marine and offshore works.