Case study

A Nordic property group rebuilt the way it works — on governed AI.

They had data across 150+ companies and eight systems, and a clear rule: AI had to run on their own data, in their own EU tenant — not scattered across ungoverned apps. Here's what changed when it did.

150+ property companies In their EU tenant Client anonymized
The challenge

The data existed. A trustworthy way to ask it didn't.

Across 150+ companies, the numbers lived in finance, property, operations and more — eight systems that rarely agreed. Leadership wanted to put frontier AI to work on that data, but not at any cost.

  • No ungoverned AI tools — nothing that copied company data into apps no one could see or audit.
  • No two versions of a number — one definition of every metric, not one per spreadsheet.
  • On their terms — answers that respect who's asking, inside their own EU tenant.
The outcomes

Four changes that compounded.

No single feature did this. A governed foundation, opened safely, turned into capability that spread — and then into a different way of working.

01

8 data sources, one governed source

8 systems — finance, property, operations and more — integrated into a single governed source the AI answers from. Every metric defined once.

02

Frontier-AI skills, organisation-wide

Frontier-AI skills educated and embedded across the org, so the capability lives in the teams — not locked inside one project.

03

A transformed way of working

Routine questions that took days are answered in seconds — source-cited and permission-aware — changing how the whole group operates.

04

Secure, in-house AI tools

Their own teams build and run AI tools on company data through AccuraSee Prism — governed by identity and a full audit trail, instead of scattered across ungoverned apps. The final step — and it draws on every source.

AccuraSee Prism
+ + +
Outcome 03, made concrete
The architecture

8 systems. One governed source. Any AI.

The same shape behind every AccuraSee engagement: many systems converge into one governed source of truth — then any AI model answers from it, with identity and audit intact.

Source systems One governed source Any AI model ERP / finance Property system Technical mgmt Financing / structure Group consolidation Register / directory Supplier invoices Valuation Governed source of truth every metric defined once · per-user audit Claude ChatGPT Gemini Copilot identity & audit preserved AccuraSee Gateway

Sources shown by role and anonymized. Every answer flows through the governed source — never around it.

Inside the one governed source

Eight systems, integrated and governed — vendors withheld, figures generalized.
ERP / finance

General ledger & budget; customer and supplier registers.

≈1.9M ledger rows · 750+ accounts
Property system

Properties, leases, lease objects and rent ledger.

230+ properties · 5,500+ leases
Technical management

Components, authority controls and inspections.

1,900+ components · 1,200+ inspections
Financing / group structure

Company register with ownership chains; property register.

Full ownership chains · 180+ properties
Group consolidation

Intra-group balances per counterparty; asset totals.

300k+ intra-group rows
Register / directory

Company, owner and stakeholder registers; lists.

210+ owners · ~2,000 stakeholders
Supplier invoices

Invoice reference per ledger row.

500k+ invoice references
Valuation

Internal and external valuation rows.

Internal + external · 175+ units

Documents stay where they live. Inspection protocols, contracts and supplier-invoice PDFs are referenced by secure deep-link into their source systems — not copied into the governed source.

By the numbers

Evidence, not adjectives.

150+
companies on one governed source
8
systems unified — finance, property, operations & more
2.7M+
rows unified into one governed source
100%
answers source-cited & permission-aware

Figures generalized for public use.

For the first time we can ask the whole portfolio a question and get a trustworthy answer back in seconds — with the working shown.
Translated from Swedish · sponsor, a Nordic real-estate group
Client anonymized; figures generalized for public use.
How AccuraSee made it work

One foundation, opened safely, given a home.

Three moves took them from eight systems to governed AI their own teams could build on.

01

AccuraSee unified the data

The eight systems were integrated into one governed source — every metric defined once, nothing ripped out.

AccuraSee
02

Gateway opened it securely

AccuraSee Gateway let any AI model answer over that governed data — with per-user identity and a full audit trail.

Ask anything, any model
03

Prism gave their AI a home

AccuraSee Prism gave their own AI tools a governed place to live — inside their tenant, on their rules.

Govern your own AI apps

Want this on your data?

Book a discovery call and we'll show what governed AI looks like on the systems you actually run.

Ask your business data anything. Get an answer in seconds.

Start with a discovery call — we'll scope a low-risk pre-study and show you what's answerable on your data.

What to expect: a 30-minute call · we map your data sources · a live answer on your data — no pressure.