Every guide follows the excavation site from design to safety

Each use case is traced through all five stages of the vessel's life, then broken down part by part, with a worked example and the decisions that stay with the project manager, local authority planning archaeologist, curator, or client's heritage consultant.

  1. Stage 1Design
  2. Stage 2Build
  3. Stage 3Operation
  4. Stage 4Maintenance
  5. Stage 5Safety
1

Geophysical survey, remote sensing, and prospection

2

Trenches, sections, features, and excavation methods

3

Context sheets, plans, survey, and photogrammetry

4

Finds, environmental samples, and on-site processing

5

Plant, spoil, shoring, and site equipment

6

Site welfare, fencing, dewatering, and set-up

7

Trench safety, buried services, contamination, and UXO

8

Planning conditions, WSIs, and heritage consent

9

Post-excavation analysis, reporting, and archiving

10

Tendering, clients, and project delivery

11

Field teams, training, and professional standards

AI in the archaeological excavation services industry: common questions

How is AI used in archaeological excavation?

AI in archaeology reads geophysics, LiDAR, drone imagery, context sheets, photographs, and finds data to spot features, check records, and speed up reporting. It supports survey, trench planning, site recording, finds processing, post-excavation, and tendering, while archaeologists and planning curators keep the final decisions.

Where should an archaeology unit start with AI?

Start with one task that already produces data and costs time when it goes wrong, such as context sheet checking, geophysics interpretation, finds registers, or grey literature reports. Prove it on one project, then extend it across the unit.

Does AI replace the field archaeologist or planning curator?

No. AI checks more records and images than a busy site team can, and drafts the plot, register, or report. Qualified archaeologists still interpret the evidence, and curators, coroners, and clients approve the decisions they are responsible for.

Work with Suhas Bhairav

Let's find where AI pays back on your excavation sites.

Archaeology units, heritage consultants, and developers bring me the problem that keeps costing them programme delays, post-excavation backlogs, or curator queries. We map it to one system you can ship.

  • A 30-minute working call, not a pitch
  • You leave knowing the first system worth building
  • Built around the systems, records, and people you already have