Why it matters
Without clear AI-assisted tendering, hidden costs, mismatches between scope and staffing, and unaddressed contingencies can arise, risking delays and non-compliant bids.
From design to safety
Design
AI informs bid scope and allowables
The AI reads tender specifications, WSI outlines, and HER requirements, mapping tasks to trench areas and recording needs, enabling aligned resource estimates and risk flags. It cross-references unit costs with historic bid data, ensuring traceable justification for every line item, including contingency notes and risk-adjusted labour estimates. It generates a draft WSI-compliant schedule of works, and flags clauses requiring client consent or specialist input before submission.
- Tender documents bundle
- Trench area plan
- Staff days roster
- Specialist cost schedule
Build
Resource model informs task planning
The AI integrates trench area counts, equipment needs, and staffing curves to refine fieldwork unit costs, equipment turnover, and scheduling gaps. It calculates material take-offs, assigns trenching methods, and aligns health and safety planning with WSI-based risk registers. It also flags potential supplier lead times and stores alternative subcontractor proposals for contingency planning.
- Tender documents bundle
- Trench area plan
- Staff days roster
- Specialist cost schedule
Operation
Live estimate tracking and updates
AI monitors actual-days, task completions, and changes to trench areas; it recalibrates remaining effort, costs, and contingency use. It produces daily cost snapshots, updated unit rates, and a running audit trail showing deviations from baseline estimates, with justification notes for every change in scope or staffing.
- Staff days roster
- Contingency reserve ledger
- Rates master table
- Trench area plan
Maintenance
Post-excavation cost closure and archiving
AI compiles post-excavation assessments, aligns specialist findings with funding needs, and exports final costs and archiving requirements. It generates a post-excavation assessment report, cross-checks context sheet totals against plan maps, and schedules archive deposition with the relevant HER and HLC metadata.
- Specialist cost schedule
- Contingency reserve ledger
- Rates master table
- Tender documents bundle
Safety
Compliance and audit-ready bidding
AI ensures all safety-related costs, WSI, and regulatory conditions are reflected in the bid, with traceable audit trails for sign-off. It validates trench stability models, buried services checks, contamination risk notes, and UXO clearance statuses against approved safety case and planning permission conditions.
- Tender documents bundle
- Trench area plan
- Staff days roster
- Rates master table
Part by part
- 1
Tender documents bundle
- Watch for
- Mismatches between bid scope and WSI or HER requirements; incomplete annexes.
- AI action
- AI flags gaps, suggests addenda, and preps formal change orders.
- 2
Trench area plan
- Watch for
- Inaccurate trench counts or sectioning that misaligns scope with budget.
- AI action
- AI cross-checks counts against schedules and adjusts unit costs.
- 3
Staff days roster
- Watch for
- Over- or under-staffing relative to trench area workload and shifts.
- AI action
- AI proposes staffing curves and shift allocations anchored to scope.
- 4
Specialist cost schedule
- Watch for
- Undervalued specialist tasks or missing environmental/sample costs.
- AI action
- AI highlights missing line items and variance risks.
- 5
Contingency reserve ledger
- Watch for
- Unbalanced contingency versus risk exposure; unallocated contingency.
- AI action
- AI allocates contingency by risk category with justification notes.
- 6
Rates master table
- Watch for
- Outdated rate cards or inconsistent unit rates across tasks.
- AI action
- AI updates rates from approved tariff lists and flags anomalies.
Worked example
Archaeological Tender for Section 12 Development (2.8 ha)
Illustrative scenario with sample data.
Bid preparation for a development-led dig, including WSI compliance, trench sections, and specialist analyses.
Signal in
project_area_ha: 2.8; trench_sections: 5; staff_days: 42; specialist_costs: 6; contingency_pct: 15; rates: standard_rate_table_v3
System out
bid_total: 2100k; contingency_allocation: 320k; recommended_staffing: 14 field staff, 2 supervisors; specialist_ids: 3; archiving_costs: 120k; submission_due: 25 days
Human sign-off: Project manager reviews AI-generated bid package, confirms scope and risk flags, signs off on contingency and specialist allocations.
How to roll it out
Phase 1
Weeks 1 to 2
Baseline data extraction from tender docs, WSI mapping, and initial trench area templates.
Phase 2
Weeks 3 to 6
AI-run cost models and staffing curves refined; risk flags reviewed by bid team.
Phase 3
Weeks 7 to 8
Final bid compilation, audit trail export, and sign-off by project manager and heritage consultant.
Where people stay in charge
- Only a qualified estimator or project manager may approve bid totals and contingency allocations; AI may suggest but cannot finalize.
- All regulatory and HER references must be verified by the planning archaeologist before submission.
- Sensitive data, including rate negotiations, must be reviewed with the client’s commercial lead before release.
Questions owners and crews ask
What is AI pricing for archaeology tenders used for?
AI pricing translates tender requirements into line-item costs, staffing needs, and contingency allocations, ensuring bids align with WSI, HER expectations, and project delivery plans.
How does AI handle specialist costs in a bid?
AI aggregates specialist task needs from trench plans and WSI, flags missing line items, and proposes justified costs with documented references for sign-off.
Who validates the AI-generated bid in practice?
The project manager, with input from the heritage consultant and client representative, validates the AI-generated bid, ensuring compliance and audit readiness.
Can AI adjust bids during negotiation?
Yes, AI can scenario-test alternative staffing and contingency options, generating updated bid lines for discussion with the client while preserving traceability.