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BUILT-IN INTELLIGENCE

AI agents that do the work.

Underneath Digilist runs a fleet of AI agents. They check listings against the law, reply to enquiries, explain seasonal allocation and brief the people who run the buildings — so the administration is freed from the repetitive work, and people can spend their time on judgement.

Listings are checked againstGDPRNSM security principlesSOC 2WCAG 2.1 AAMarketing Control Act
01Approval

A compliance review of every listing

Before a listing goes live, the Digilist agent reviews it against the law — not just against a checklist.

  • Scans all public text for personal data (GDPR), exposed access codes and unsafe links (NSM, the Norwegian National Security Authority), and misleading or unlawful marketing.
  • A separate vision step downloads and inspects every image — catching unlawful content, pictures that misrepresent the venue, and recognisable faces with no basis for being there.
  • Catches misleading discrepancies that structural validation cannot see: the wrong category, opening hours that do not cover the stated use, hidden mandatory costs.
  • Approves clean listings with concrete advice on selling better — and guides the rest to a fix with a warm message, never a bureaucratic rejection.
Listing submitted
Publishing gate
Compliance review
Image check
Decision + guidance
02Enquiries

A first reply to customer enquiries

No enquiry is left sitting. The agent reads the request and replies on the operator's behalf — warmly and correctly.

  • Reads the purpose, date, numbers and questions out of the enquiry, and writes a welcoming first reply the way a capable case officer would.
  • Complaints, price negotiation and legal questions are always raised to a person — the agent knows its limits.
  • Writes drafts by default; automatic sending is something you switch on yourself, once you are confident.
  • A fast response wins bookings — enquiries are answered at once, not when someone gets round to it.
Enquiry
Reads purpose · date · numbers
Draft reply
Raise to a person?
Send
03Seasonal allocation

Explains a hall allocation that will hold up

The most contested thing a public body does. The agent never allocates — it reviews and it explains.

  • Reads the finished proposal from the allocation engine and flags what the rules cannot see: clubs that fall outside, conflicts settled by drawing lots, slots a person has overridden.
  • Judges whether the outcome is defensible — including patterns over time, such as the same club losing out every season.
  • Writes each club's reasoning in a mentoring tone, clearly and respectfully. Never 'the system decided' — a person is accountable.
  • Every word addressed to a club is approved by a person before it is sent.
Proposal from the engine
Finds signals
Judges defensibility
Reasoning per club
A person approves
04Operations

The day ahead, for the people who run the buildings

Caretakers, cleaning, security and fire safety get their day laid out — calmly and personally.

  • Per operations contact: an overview of today's bookings in the right order, with anything needing follow-up brought to the front.
  • Reads and notifies only — it never touches a booking.
  • Never sends an empty message: if there is nothing to report, it stays quiet.
  • The information is already in Digilist — the agent brings it out to the right person, instead of leaving it buried under 'My page'.
Today's bookings
Per operations contact
A calm overview
Notification
05Insight

Sees where the market has gaps

A market strategist that reads the whole marketplace and finds the openings — without touching anything.

  • Reads supply (published listings) against demand (bookings and enquiries) across every tenant.
  • Finds the gaps: where venues people are actually looking for are missing, in each public category.
  • Writes a short, ranked list of opportunities for the team — in the dashboard and as a message.
  • Read-only, with no customer-facing actions — pure insight, for growing deliberately.
Supply + demand
Finds gaps
Ranked overview
06Import

Build a draft from a link or a file

Is your venue on Airbnb, Booking.com, Finn or Eventum — or in a Word document? The agent builds a finished draft.

  • Paste a link to an existing listing, or upload a document — several sources at once, as a set.
  • The agent analyses the content and extracts the name, description, capacity, facilities, location and prices.
  • The fields are filled into Digilist's structure, and you get a finished draft that only needs polishing.
  • You confirm and publish it yourself — and the draft goes through compliance approval before it becomes visible.
A link or a file
Analysis
Extracts the fields
Listing draft

The agents do not guess. They read the actual Digilist rules, the documentation and the law before they judge — and they look at the images, not only the text.

FREQUENTLY ASKED QUESTIONS

Are the Digilist agents safe under GDPR?

Yes. Every listing is checked against GDPR before publication — the agent catches personal data in public text and in images. The agents also follow the NSM basic principles for ICT security set by the Norwegian National Security Authority, SOC 2, and the accessibility requirements of WCAG 2.1 AA.

Do the agents make decisions on their own?

Not for anything customer-facing. Replies to enquiries are written as drafts, with automatic sending optional; seasonal allocation is explained but never decided by the agent; and every word addressed to a club is approved by a person. Listing approval runs against clear, law-based criteria, and anything in doubt is raised to a person.

Which standards is a listing checked against?

GDPR for privacy; the NSM basic principles for ICT security; SOC 2 Trust Services Criteria; accessibility under WCAG 2.1 AA; and the Norwegian Marketing Control Act for misleading or unlawful commercial claims.

Which AI agents are included?

Five customer-facing agents: listing approval and compliance, replies to enquiries, review and explanation of seasonal allocation, a daily operations overview for the people who run the buildings, and market insight that finds gaps between supply and demand. The fleet grows over time.