Why it matters
Without AI, mislabelled bags, mismatched context numbers, or undocumented discrepancies disrupt post-excavation assessment, compromise archive integrity, and threaten HER data quality by generating untraceable provenance records and incomplete audit trails.
From design to safety
Design
AI supports data schema alignment and cross-reference
AI reads context numbers, plan references, sample identifiers, and feature notes to validate the Written Scheme of Investigation data model, ensuring consistent attribute definitions and reliable linkages between plans and context sheets.
- sample registers
- context numbers
- bag labels
Build
In-field tagging and validation pipeline
AI processes real-time scans of bag labels and context numbers using portable OCR, GPS-tagged plan references, and field-verified Harris matrix linkages, flagging mismatches before they are recorded in the context sheets.
- bag labels
- context numbers
- small finds registers
Operation
Continuous reconciliation workflow
AI continuously cross-checks incoming finds data, sample identifiers, and bag provenance against context sheets and plan references, generating discrepancy flags, provisional reconciled counts, and draft client-facing reports for immediate review.
- sample registers
- small finds registers
- discrepancy logs
Maintenance
Audit-ready data lineage
AI maintains an immutable, time-stamped chain of custody for bags, registers, and context numbers, enabling post-excavation assessments, archive deposition checks, and HER submission readiness with complete sign-offs.
- audit trail binder
- discrepancy logs
- bag labels
Safety
Controlled data handling
AI enforces role-based access, encryption at rest, and read/write restrictions during fragile handling; it logs edits to protect repository integrity and regulatory compliance, with quarterly access audits.
- sample registers
- context numbers
- audit trail binder
Part by part
- 1
sample registers
- Watch for
- mismatched sample IDs or missing entry ties to context sheets, causing incompatibility with the Harris matrix.
- AI action
- AI flags ID mismatches and prompts correction workflow to update the register.
- 2
small finds registers
- Watch for
- unmatched container IDs to context numbers, leading to cross-reference gaps in the archive.
- AI action
- AI highlights gaps and suggests linking entries to corresponding bags.
- 3
bag labels
- Watch for
- faded or duplicate barcodes obscuring sample provenance and triplicate mislabeling.
- AI action
- AI verifies barcode integrity and reprints labels with correct context linkage.
- 4
context numbers
- Watch for
- duplicate or missing context numbers across registers and plans.
- AI action
- AI cross-references every entry and flags orphaned or repeated context references.
- 5
discrepancy logs
- Watch for
- undocumented variances between registers and physical bags.
- AI action
- AI generates discrepancy reports with suggested reconciliation steps.
- 6
audits
- Watch for
- incomplete audit trails or missing sign-offs for critical reconciliations.
- AI action
- AI ensures audit completeness and routes for sign-off.
Worked example
Site A Expansion: Sample and Finds Reconciliation
Illustrative scenario with sample data.
A 6.2 ha development uncovers mixed deposits; register reconciliation ensures archive readiness and accurate post-excavation analysis.
Signal in
siteCode=SA-Expansion; contextNo=CTX-077; bagID=BAG-019; sampleID=SAM-112; date=2026-07-14; finds=10 items; planRef=PLN-45; supervisor=JS-42; archiver=AC-07
System out
Discrepancy flagged: BAG-019 lacks context CTX-077; proposed re-tag and re-bag; audit entry created; report to HER and post-excavation file.
Human sign-off: Project manager approves the re-bagging plan, authorizes updated context linkage, and notifies the HER planning archaeologist for review.
How to roll it out
Phase 1
Weeks 1 to 2
Baseline data model for registers and labels established; AI ingest and cross-reference rules configured, with access controls and audit templates.
Phase 2
Weeks 3 to 6
In-field reconciliation workflow tested on live site with oversight by finds supervisor and archive officer; defect log set and sign-off routines defined.
Phase 3
Weeks 7 to 12
Full audit-ready reconciliation cycle deployed; client reporting and HER submissions integrated, with automated discrepancy dashboards for the client team.
Where people stay in charge
- Decisions about data edits must be signed off by the qualified finds supervisor or project manager responsible for post-excavation assessment.
- AI cannot authorize archival deposition; only the designated heritage curator signs archival transfers and final submissions.
- Discrepancy resolutions requiring context number changes must be validated by the site supervisor and HER planning archaeologist, with archive officer sign-off if needed.
Questions owners and crews ask
How does AI reconcile sample registers with context sheets on site?
AI reads barcode, sample IDs, and context numbers, cross-checks entries against plan references, and flags mismatches for immediate correction by the finds team, with an audit trail entry.
What happens if a bag label is damaged or unreadable?
AI flags the unreadable label, prompts re-labeling, links the new label to the existing context and sample record, and records the replacement in the audit trail.
Who signs off discrepancies and audit trails?
The project manager or post-excavation manager signs off; heritage curator and HER planning archaeologist may review flagged issues, with senior archive officer finalizing deposition readiness.
What records are created for post-excavation analysis?
Discrepancy reports, revised context maps, updated sample and finds registers, a complete audit trail, and an archive deposition readiness checklist for HER submission.
Sources and further reading
- CIfA: Standards and GuidanceGuidance on finds, archive, and context record standards for consistent excavation documentation.
- Archaeology Data ServiceGuidance on digital archive deposition, data standards, and OASIS records for archaeological projects.
- Historic EnglandAdvice on archaeological archives and historic environment records, with planning-related recording guidance.
- GOV.UK: National Planning Policy FrameworkPlanning policy on archaeological interest and the recording of heritage assets before development.
- Chartered Institute for ArchaeologistsProfessional body setting accreditation and practice standards for archaeologists handling finds and records.
- MOLA: ServicesCommercial post-excavation services covering finds processing, archive preparation, and reporting for development projects.
- US National Park Service: Archeology ProgramFederal guidance on archaeological collections curation, labelling, and records for archive management.
- Society for American ArchaeologySociety for American Archaeology principles on ethics, research, and cultural resource management records.