Why it matters
Without AI, missed or misattributed enquiries, delayed follow-ups, incomplete condition requests, weak lead scoring, and lost buyer momentum can occur, leading to reduced sell-through and fragmented buyer experiences.
From design to safety
Design
AI captures inquiry flow design
Defines data inputs, lead scoring, and routing rules from enquiry types, condition requests, and specialist contacts to optimise preview workflows. Includes capture of visitor intent, time stamps, preferred contact method, consent status, and documented consent provenance for marketing.
- enquiries
- condition report requests
- specialist contacts
Build
Integrate enquiry capture interfaces
Ingests enquiry forms, chat transcripts, email subjects, CRM fields, plus badge reads and QR scans to create unified lead records and assign tasks. Adds data normalization, duplicate detection, auto-linking to associated lots and provenance notes, and audit trails.
- CRM
- enquiries
- condition report requests
- specialist contacts
Operation
Real-time lead prioritisation
Reads incoming inquiries, updates lead scores, triggers follow-up sequences, and assigns tasks to client services and auctioneers. Applies SLA windows, drafts templates, and recommends next contacts based on bidder history and lot interest, with live dashboards for managers.
- CRM
- follow-ups
- bids
- enquiries
Maintenance
Data quality and workflow health
Validates contact data, updates condition request statuses, reconciles follow-ups, and calibrates lead scoring with post-preview outcomes. Enforces data retention, audit trails, and cross-system reconciliation across CRM, CMS, and bidding platforms.
- CRM
- follow-ups
- condition report requests
- enquiries
Safety
Compliance and provenance tracking
Ensures AML checks, client verification, and provenance notes remain attached to leads and communications with proper approvals. Logs access, enforces consent, and records export controls for regulatory reviews, with escalation to compliance where needed.
- specialist contacts
- CRM
- follow-ups
Part by part
- 1
enquiries
- Watch for
- Missing or duplicate enquiry records; misattributed lot references; incomplete contact details.
- AI action
- Detect stray or duplicate inquiries and assign to correct lead with lot linkage.
- 2
condition report requests
- Watch for
- Unreturned or late condition reports; inconsistent lot numbers; missing client identifiers.
- AI action
- Flag delayed reports and auto-create follow-up tasks with deadlines.
- 3
specialist contacts
- Watch for
- Uncontactable specialists; outdated contact paths; unclear specialist assignment.
- AI action
- Route enquiries to appropriate specialist, log response time, and update lead notes.
- 4
CRM
- Watch for
- Lead voids; missing activity history; inconsistent pipeline stages.
- AI action
- Synchronise touchpoints, score leads, and trigger smart follow-ups.
- 5
follow-ups
- Watch for
- Uncompleted touchpoints; missed SLA for responses; stale opportunities.
- AI action
- Schedule timely reminders, compose templates, and log outcomes.
- 6
bids
- Watch for
- Unrecorded bid-intent; failed link between inquiry and bid; misattributed bidder accounts.
- AI action
- Associate bids with the correct lead, update status, and alert agents.
Worked example
Managing Enquiries and Proactive Follow-ups
Illustrative scenario with sample data.
A regional saleroom previews season sees diverse consignments; AI tracks enquiries, condition report requests, and specialist contacts to drive timely follow-ups and improve buyer engagement.
Signal in
enquiry_id=EQ-1048; client_id=C-237; lot_ref=1234-567; enquiry_type=Condition Report; preferred_contact=Email; date=2026-11-01; agent=J. Collins; note=Interested in provenance documentation.
System out
Lead record created; condition report task assigned; specialist contact linked; follow-up reminder scheduled; provenance notes attached to the lead.
Human sign-off: Head of Client Services reviews lead scoring, approves follow-up cadence, and confirms specialist assignment.
How to roll it out
Phase 1
Weeks 1 to 4
Baseline integration of enquiry capture with CRM and staff training completed.
Phase 2
Weeks 5 to 8
Automated lead scoring, follow-ups, and task routing enabled across viewing galleries and rostrum-saleroom.
Phase 3
Weeks 9 to 12
Monitoring, refinements, and reporting on buyer engagement and lead conversion.
Where people stay in charge
- Decisions on lead routing and escalation remain with the head of client services or the managing director.
- AI must not override regulatory-compliant communications or disclose provenance or AML data without proper verification.
- All data processing must comply with internal data governance policies and consent requirements.
Questions owners and crews ask
How does AI capture viewer enquiries at previews?
AI ingests enquiry forms, chat transcripts, emails, and CRM fields, creating unified lead records and routing to the right team with a clear audit trail.
Who approves follow-up actions generated by the system?
The head of client services approves or adjusts lead scores and follow-up cadences, ensuring consistency with regulatory and privacy requirements.
Can condition report requests be tracked automatically?
Yes, the system flags overdue reports, links them to the corresponding lead, and triggers proactive follow-up tasks.
How is bidder activity linked to leads and auctions?
Bids are associated with the correct lead and lot, updating status and prompting staff to engage with the buyer accordingly.