Why it matters
Without it, terms can diverge from policy, signatures may be missing, agreements may contain errors, and AML or export compliance breaches risk law and reputation.
From design to safety
Design
AI guides term design and planning
The system reads contract templates, policy rules, and term databases to check alignment with sale planning, reserve and commission structures, and seller fee constructs. It creates a governance map showing which terms touch valuation, cataloguing, and reserve thresholds, and it codifies licence constraints.
- Commission rate schedule
- Reserve price register
Build
AI validates terms during intake build
During consignment intake and agreement setup, AI validates signer authority, term consistency, and fee structures against the policy baseline. It generates a pre-listing compliance report and flags any rider clauses needing legal review, with reference to signatures and amendments.
- Consignment intake form
- Signatures log
Operation
AI enforces terms in live sales and payments
In day-to-day operations, AI flags term inconsistencies, ensures signature validity before settlement, and cross-checks reserves, fees, and guarantees with actual hammer results. It verifies seller consent for changes during post-sale settlements, and logs all deviations.
- Seller's fee ledger
- Guarantee contract file
Maintenance
AI audits contracts and term governance
Regular reviews compare active agreements to policy baselines, track version history, and trigger updates for amended consignment terms and fee schedules. It maintains a delta log for changes across consignments and ensures archival integrity, with archival tags.
- Reserve price register
- Signatures log
Safety
AI protects compliance and provenance
AI screens for AML due diligence, export licensing implications, and provenance notes linked to seller contracts and guarantees, with sign-offs by compliance officers. It maintains an audit trail for regulatory inquiries and disciplinary actions, including provenance flags.
- Guarantee contract file
- Signatures log
Part by part
- 1
Consignment intake form
- Watch for
- missing signatures, term mismatches, reserves outside policy, undisclosed guarantees, or inconsistent seller fees
- AI action
- flag contract anomalies and route to compliance for manual review
- 2
Commission rate schedule
- Watch for
- rates outside policy, inconsistent tiered structures, missing rider clauses
- AI action
- flag rate anomalies and trigger formal review of commission terms
- 3
Reserve price register
- Watch for
- reserve values not aligned with catalogue estimate, missing reserve floor, contradictory notes
- AI action
- alert potential mispricing and propose adjustment to reserve terms for consistency
- 4
Seller's fee ledger
- Watch for
- fee calculation errors, undisclosed deductions, mismatched invoices
- AI action
- trigger fee reconciliation and invoice alignment workflow with vendor system
- 5
Guarantee contract file
- Watch for
- untraced guarantees, falsified signatures, inconsistent end dates
- AI action
- initiate verification and log for compliance review; escalate for legal sign-off if needed
- 6
Signatures log
- Watch for
- invalid signer credentials, missing sign-off, signing before consignment intake
- AI action
- prompt validation and sign-off by authorized signatory; timestamp and user ID recorded
Worked example
Catching a missing signature before consigning a high-value painting
Illustrative scenario with sample data.
A regional house needs to validate a consignment agreement before listing a high-value work with a reserve and seller guarantees, ensuring all terms align with policy and regulatory due diligence.
Signal in
consignment_id: 874321, agreement_version: 4, signer_roles: [owner, fiduciary], reserve_price: 180000, commission_rate: 12.5, seller_fees: 2.0, guarantees: Yes, signature_status: pending, amendments_pending: Yes, related_contract_id: 874320
System out
alert: signature missing for owner; action: route to owner for signing, block listing until signature is captured; audit log updated with timestamp and reviewer; risk_note: potential compliance breach if not signed within 2 business days.
Human sign-off: Head of Legal or Compliance Officer approves the final signed agreement and green-lights listing, after review of amendment history and sign-off sufficiency.
How to roll it out
Phase 1
Weeks 1 to 4
Baseline data ingestion, policy mapping, and prototype validation against standard consignment templates.
Phase 2
Weeks 5 to 8
Live checks activated on new consignments; validation against existing contracts and signatory records.
Phase 3
Weeks 9 to 12
Full governance workflow with compliance reviews, audit trails, and routine contract updates implemented.
Where people stay in charge
- Decisions on contract terms and exceptions must be signed off by the Compliance Officer or Head of Legal.
- All amendments to fees, reserves, or guarantees require written sign-off and version-controlled documentation.
- Signatures verification and authentication must be performed by a qualified signatory before any listing or settlement.
Questions owners and crews ask
What exactly does AI watch for in consignment agreements?
The system watches for missing signatures, term mismatches, reserve mispricing, undisclosed guarantees, and fee inconsistencies, triggering reviewer actions that preserve contract integrity.
Who approves flagged terms or exceptions?
A designated qualified person such as the Compliance Officer or Head of Legal approves flagged terms or exceptions before listing and settlement.
Can AI changes be applied to existing consignments?
Yes, AI can initiate controlled updates with an audit trail, preserving version history and requiring sign-off for material term changes.
How does this help with AML and export compliance?
The tool flags risky terms and cross-checks against required due diligence, exporting notes to the compliance file for sign-off.