Digital Heritage & Cultural Knowledge Systems
A collection is only as trusted
as its provenance.
Independent digital product leadership for museums, archives, historic sites, and cultural-resource organizations — turning fragmented records into systems staff actually use and the public can actually reach.
The method
- 01Scattered records
spreadsheets · PDFs · aging databases
- 02Structured knowledge
metadata · vocabularies · linked entities
- 03Grounded tools
curator-controlled AI · citations · provenance
- 04Adopted access
staff use it · the public finds it
The role
Before you buy software or build an AI exhibit, someone has to name the real institutional problem, organize the knowledge, define the requirements, choose the vendors, and make sure the staff can use what gets delivered.
That is a different service from digitizing boxes, scanning monuments, selling a CMS, or coding an app. It is the part that is usually missing — and it is the whole job here.
Engagements
Start with a defined product.
- SVC.012–3 weeks
Digital Heritage Readiness Audit
[PLACEHOLDER] A fixed-scope assessment of systems, collections data, workflows, and AI opportunities — ending in a prioritized, fundable roadmap.
- SVC.023–5 weeks
Collections & AI Roadmap
[PLACEHOLDER] For an institution weighing AI search, cataloging, or a digital archive — a grounded plan with policy, citation design, and build-vs-buy analysis.
- SVC.036–12 weeks
Cultural Knowledge Pilot
[PLACEHOLDER] A working, small-scale product built on one collection, exhibition, site, or research corpus — delivered with specialist technical partners.
- SVC.04Ongoing
Fractional Director of Digital Heritage
[PLACEHOLDER] Standing product leadership for an institution without a chief digital officer — vendor management, governance, and grant-project oversight.
Selected work
Case studies pending selection.
The strongest two or three engagements will live here, each as a catalogue record: problem, users, sources, data model, governance, outcome.