Manual cataloguing costs £3–5 an item. There is now an alternative.

Archivers.ai catalogues for pennies per item or page — an order of magnitude cheaper than manual cataloguing, with every AI suggestion reviewed by your team before it enters the catalogue. Pricing is transparent and will be published when we launch, ready to go straight into a committee paper or a grant budget.

Pennies

per catalogued item or page — a fraction of the manual cost

10×+

an order of magnitude cheaper than manual cataloguing at £3–5 per item

30 days

Backlog Sprint — a fixed-scope pilot on your own collection, scoped on a call

From project spend to long-term public value

Most collections teams first adopt Archivers.ai to clear a backlog. The longer-term value comes afterwards: searchable collections, standards-based portability, stronger funding logic, and public-facing access that helps the value of digitisation outlive the project itself.

Phase 1 — Backlog reduction at a fraction of manual cost. Use Archivers.ai — on a plan or within a funded digitisation project — to turn uncatalogued material into reviewable, standards-aligned records for pennies per item. Your team is still in control: every record is reviewed before it enters the catalogue.

Phase 2 — Searchable public value. After processing, Archivers.ai becomes the staff Explore and public discovery layer. Researchers and the public find material; your team can report engagement to funders; the work done today continues to earn its keep.

Archivers.ai's analysis view showing themes, arrangement suggestions and completeness metrics for a catalogued accession

Track backlog reduction in real time

Every accession processed through Archivers.ai produces a clear record: items catalogued, metadata generated, exports delivered. Your team can demonstrate progress to the board with concrete numbers, not estimates.

The analysis view summarises themes, arrangement suggestions, and gaps across each accession — giving you oversight without micromanagement.

Archivers.ai search interface showing processed catalogue records

Rough cost of clearing your backlog manually

A back-of-envelope estimate. Change the numbers to match your situation — results update automatically. Calculated client-side; nothing is sent anywhere.

Typical range 10–20 for standards-aligned manual cataloguing
Including pension, NI, and overheads
Working days required:
FTE years:
Approximate staff cost:

Indicative only. Assumes 220 working days per year. Archivers.ai speeds up the drafting step; archivists still review every record before it enters the catalogue. For comparison: a 7,000-item backlog represents around £28,000 of manual cataloguing time — with Archivers.ai the same backlog costs pennies per item, an order of magnitude cheaper, with transparent pricing published when we launch.

The cost of the alternative

A cataloguing backlog isn’t just an operational inconvenience. It’s a financial risk and a risk to the return on your digitisation investment — and the sector numbers are stark: around 13% of local-authority collections and over 20% of museum collections are uncatalogued, according to The National Archives’ sector survey.

In grant-funded projects, manual cataloguing works out at roughly £3–5 per item — a figure derived from Archives Revealed project outcomes. A qualified archivist costs around £36,000 a year (ARA 2026 guidance), before pension, NI, and overheads. At those rates, most backlogs will simply never be catalogued.

With Archivers.ai, cataloguing costs pennies per item or page — an order of magnitude cheaper than the manual equivalent. A 7,000-item backlog that represents around £28,000 of manual cataloguing time becomes a project a service budget can actually absorb.

This isn’t about reducing your team — it’s about capacity. The AI drafts; your archivists review and approve every record. The result is that material which would never otherwise be catalogued gets done, and the staff time saved goes back into your service, your public programmes, and your next funding application.

Built to pass procurement, not just a demo

  • Transparent pricing, published when we launch. Every plan and credit-pack price will be published — no “contact us to find out” — ready to quote directly in a committee paper, a grant budget, or a business case.
  • EU-resident AI. All AI processing runs in EU data centres — a concrete answer for data protection officers and public-sector procurement questionnaires.
  • Under-threshold purchasing. Annual plan costs are designed to sit well below typical procurement thresholds, so most services can buy on a standard purchase card or single quote rather than a full tender.
  • Invoice and purchase order. Available on Institution plans and larger credit packs.
  • Start small, on the record. A Backlog Sprint — a fixed-scope, 30-day pilot on your own collection, scoped on a call — lets your team evaluate on real material before any wider commitment.

Standards-aligned outputs for funded digitisation

The National Lottery Heritage Fund and other funders increasingly expect standards-based outputs as evidence of proper stewardship of publicly funded collections: EAD-compliant finding aids, PREMIS provenance, accessible metadata, and evidence of public benefit.

Archivers.ai produces EAD3 and BagIt with PREMIS outputs as standard — helping teams produce standards-aligned outputs for funded digitisation projects and reporting conversations. Formal acceptance by any specific programme depends on that programme’s own requirements.

Designed to support NLHF-style digitisation workflows

Archivers.ai produces EAD3 and BagIt with PREMIS exports for every reviewed record — the evidence and structure funders expect. No additional software, no consultant fees.

The case for your board

  • Reduces backlog risk. Uncatalogued collections are an audit risk and a reputational liability. Archivers.ai turns backlogs into catalogued, searchable archives with archivist review at every step.
  • Demonstrates stewardship. Standards-aligned cataloguing helps demonstrate proper care of your collection to funders, accreditation bodies, and the public.
  • Outputs for funded digitisation. EAD3 and BagIt with PREMIS exports that help teams produce standards-aligned deliverables for funded digitisation projects and reporting.
  • Retention after the project. Once the backlog is processed, staff Explore and a public discovery portal turn the work into long-term public value — the answer to “what happens after digitisation?”
  • Works with your existing systems. AtoM, ArchivesSpace, Axiell, Modes, Adlib, Preservica, Archivematica — we do not replace your system of record.
  • Predictable, transparent costs. Pricing is transparent and will be published when we launch, so the budget line is knowable — and defensible afterwards.
  • EU-resident AI processing. A clear data-residency answer for your DPO, your auditors, and public-sector procurement.
  • No new IT infrastructure. Runs in a web browser. No servers, no software licences, no forced migration.
  • Scales with the collection. From a single box to a county-scale backlog — the same workflow, the same standards, the same review gate.
  • Measurable output. Track items catalogued, time saved, backlog cleared, and (after processing) public engagement — clear metrics for board reporting.

Further reading

Updates from Archivers.ai