---
title: "AI in Real Estate in Sweden: Use Cases and First Projects"
url: https://alicelabs.ai/en/insights/ai-in-real-estate
description: "What Swedish property companies can use AI for: six use cases, how to pick the first project, GDPR and AI Act rules, EPBD context and a 90-day plan."
lang: en
---

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AI for Industries Deep Dive Fresh Last reviewed: 29 September 2026 · 36d ago

# AI in Real Estate in Sweden: What Property Companies Can Use AI For and Where to Start

## TL;DR

Quick Answer

Cited by AI

> Start with energy optimisation, fault-report triage or lease analysis: clear data, low risk. Wait on tenant screening, which can be high-risk under the AI Act.

Six use cases with value, data needs and difficulty, a way to choose the first project, what GDPR and the EU AI Act mean for tenant data, how the EPBD shapes the agenda, and a 90-day plan. Based on Boverket, Energimyndigheten, IMY and EU sources, checked in September 2026.

AI in real estate is the use of machine learning and language models in owning, managing and developing property: optimising energy and maintenance from building data, handling tenant requests, reading leases, analysing markets and producing energy and ESG reports. In Sweden it operates under GDPR, the EU AI Act and EPBD-driven energy rules.

Image: Eric Lundberg - Author at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png)

Written by

Eric Lundberg: https://www.linkedin.com/in/eric-lundberg-3530451bb/

Image: Linus Ingemarsson - Reviewer at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png)

Reviewed by

Linus Ingemarsson: https://www.linkedin.com/in/linus-ingemarsson/

Published May 23, 2026 · Updated September 29, 2026

10 min read

2 Dec 2027

Annex III high-risk rules, including credit scoring of natural persons, apply from this date

European Commission, 2026: https://digital-strategy.ec.europa.eu/en/news/ai-omnibus-enters-force

290 kW

threshold above which Swedish non-residential buildings need building automation (since 1 Jan 2025)

Boverket: https://via.tt.se/pressmeddelande/3722256/nytt-krav-pa-automatisk-styrning-i-lokalbyggnader-fran-1-januari-2025?publisherId=3236499&lang=sv

17%

of surveyed real estate organisations had guidelines or a policy for AI

Fastighetsägarna, Fastigo, Sveriges Allmännytta, 2026: https://fastighetstidningen.se/nyhet/sex-av-tio-anvander-ai-i-fastighetsbranschen/

What you'll learn(4 points)

- Six AI use cases and a first step for each
- How to choose the first project
- GDPR and AI Act rules for tenant data and screening
- A 90-day plan to a measured pilot

## Key Takeaways

- The best first projects use data you already own: building automation and meter data, fault reports and leases.
- Credit scoring of natural persons is high-risk under Annex III of the AI Act, and the Act cites access to housing. Those rules apply from 2 December 2027.
- Fault reports and apartment-level energy data are personal data, so GDPR applies from the first prototype.
- Swedish non-residential buildings with heating or cooling systems above 290 kW have needed building automation since 1 January 2025. That data is the raw material for energy AI.
- Sweden's EPBD transposition is somewhat delayed and arrives in stages during 2026.

01 / 08 Chapter

## What can Swedish property companies use AI for?

Six areas deliver most of the value: energy optimisation and predictive maintenance, fault reports and tenant service, lease and document analysis, rent and market analysis, project development, and ESG and energy reporting. They differ mainly in data needs and regulatory risk.

A property company runs on three kinds of information: technical data from buildings, conversations with tenants, and documents such as leases, drawings, invoices and energy performance certificates. AI helps wherever one of these is large, repetitive and handled today by people reading, sorting or copying.

The sector is already experimenting. A 2026 survey by Fastighetsägarna, Fastigo and Sveriges Allmännytta found that close to six in ten organisations use AI tools, mainly for text work, financial administration, decision support and automated property management. Only 17 percent had guidelines for AI, and 60 percent said they lacked internal knowledge. The gap is not tools but choosing problems and handling data.

| Use case | Value | Data required | Difficulty | First step |
| --- | --- | --- | --- | --- |
| Energy optimisation and predictive maintenance | Lower energy use, fewer emergency repairs, support for energy class goals | Building automation trend data, heat and electricity meters, weather, work orders | Medium | Export 12 months of data for 3 to 5 buildings and check quality |
| Fault reports and tenant service | Faster triage, correct routing, answers outside office hours | Historical fault reports, category codes, tenant FAQ | Low to medium | Classify last year's fault reports and compare with manual categories |
| Lease and document analysis | Faster lease review, due diligence and handovers | Commercial and residential leases, amendments, technical documents | Low | Extract fixed fields from 50 commercial leases and have a lawyer check them |
| Rent setting and market analysis | Better decisions on commercial rents, vacancies and acquisitions | Rent roll, vacancy history, market and transaction data | Medium | Build a vacancy and rent dashboard before any model |
| Project development and design | Earlier energy and climate assessment of design options | Drawings, BIM models, energy calculations, climate declarations | High | Summarise and cross-check design documents in one project |
| ESG and energy reporting | Less manual data collection for certificates, taxonomy and investor reports | Energy performance certificates, meter data, invoices | Low to medium | Map every number in last year's report to its source system |

Source: Alice Labs assessment; regulatory context from Boverket, IMY and the EU AI Act

02 / 08 Chapter

## What each use case involves

In short

Energy AI works on data Swedish rules already require in larger non-residential buildings. Tenant service and lease analysis use language models and are the quickest to test. Rent, design and ESG work depend on how clean your own data is.

**Energy and maintenance.** Since 1 January 2025, Swedish non-residential buildings with heating, ventilation or cooling systems above 290 kW must have building automation and control systems, which Boverket says should monitor, record, analyse and adjust energy use. Their trend logs let a model run forecast-based heating control, find systems running outside opening hours and flag equipment close to failure. Start where the automation already exists.

**Tenant service.** A language model can classify, prioritise and route free-text fault reports and answer common questions. Keep a person in the loop for safety, water damage and access to homes, and tell tenants when they are chatting with AI.

**Leases and documents.** AI can extract index clauses, extension terms and cost allocation into a register and compare drafts against your standard terms. A lawyer checks the output, so risk is low.

**Rents and markets.** Most Swedish residential rents are negotiated collectively under the utility value system, so AI pricing matters mainly for commercial premises. For housing, use it for analysis ahead of negotiations.

**Design and ESG.** New buildings already need a climate declaration and the EPBD adds life-cycle climate requirements, so assessing design options early matters more. See our guide to AI in construction (https://alicelabs.ai/en/insights/ai-in-construction-guide) for the builder's side. ESG reporting is a good early project: AI extracts and reconciles figures, a person signs off.

03 / 08 Chapter

## How to choose the first AI project

In short

Score each candidate on business value and on feasibility: data availability, integration effort and regulatory risk. Start in the high-value, high-feasibility corner, which for most Swedish property companies means energy data, fault reports or leases.

A first project should create measurable value and teach the organisation how to run the next one. Score each idea from one to five on value (energy cost, staff time, revenue, risk) and feasibility (data in hand, integration effort, legal exposure), then pick one from the top-right quadrant. Three questions settle most debates: do we have twelve months of usable data today, can a person check every output during the pilot, and could we explain the system to a tenant, to IMY and to our board? If any answer is no, it is not the first project.

| Quadrant | Value | Feasibility | Typical examples | What to do |
| --- | --- | --- | --- | --- |
| Start here | High | High | Energy optimisation where automation exists, fault-report triage, lease extraction | Run a 90-day pilot against a baseline |
| Quick wins | Lower | High | Drafting tenant letters, meeting notes, search in manuals | Handle through tools and training |
| Build towards | High | Low | Portfolio-wide predictive maintenance, design optimisation, commercial rent models | Fix the data first |
| Avoid for now | Uncertain | Low | Automated tenant screening, credit scoring, fully automated decisions on individuals | Wait for governance and AI Act compliance |

Source: Alice Labs method

Image: Linus Ingemarsson (https://alicelabs.ai/images/linus-ingemarsson.png)
Image: Eric Lundberg (https://alicelabs.ai/images/eric-lundberg.png)

Alice Labs practitioner team

## Talk to the team behind 100+ AI implementations

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04 / 08 Chapter

## Data and GDPR: handling tenant data correctly

In short

Fault reports, tenant messages, lease registers and apartment-level energy data are personal data, so GDPR applies from the first prototype. Follow IMY's guidance on GDPR and AI: purpose, legal basis, minimisation, processor agreements and a DPIA check.

Fault reports describe life inside a home, apartment-level energy data shows when someone is there, and a lease register links it all to a person. IMY, the Swedish Authority for Privacy Protection, publishes guidance on GDPR and AI that covers development and testing, not only production. In practice:

- Define the purpose of each AI use and check it is compatible with why the data was collected.
- Document the legal basis, often legitimate interest or performance of the lease.
- Minimise: pseudonymise fault reports and aggregate energy data to building level where possible.
- Sign data processing agreements with AI vendors and check where data is stored and processed.
- Assess whether a data protection impact assessment is needed, especially for profiling or systematic monitoring.
- Respect GDPR limits on decisions based solely on automated processing.

None of this blocks the recommended first projects. It does rule out pasting tenant data into consumer AI tools.

05 / 08 Chapter

## The EU AI Act for property companies

In short

Energy optimisation, document analysis and fault triage are normally not high-risk. Credit scoring of natural persons is high-risk under Annex III, and the Act cites access to housing. Annex III rules apply from 2 December 2027. AI literacy and chatbot transparency duties already apply.

**Tenant screening can be high-risk.** Annex III lists AI used to evaluate the creditworthiness or credit score of natural persons as high-risk, except for fraud detection. Recital 58 explains that such systems determine access to essential services such as housing. Whether a given screening tool is covered depends on what it does, so treat it as potentially high-risk until a lawyer concludes otherwise. After the AI Omnibus, in force since 27 July 2026, Annex III rules apply from 2 December 2027. Deployers then need human oversight, logging, use according to the provider's instructions and, in some cases, a fundamental rights impact assessment. Swedish discrimination law applies regardless.

**Transparency.** A chatbot on the tenant portal must make clear that the tenant is talking to an AI system.

**AI literacy.** Article 4 has applied since 2 February 2025 and requires measures so that staff using AI have sufficient AI literacy. Given how few property companies have AI guidelines, most are behind here.

Alice Labs practitioner team

## Not sure which AI project to start with?

We help Swedish property companies score use cases, check data and GDPR readiness and plan a measured first pilot.

Talk to Alice Labs

06 / 08 Chapter

## Swedish context: Boverket, Energimyndigheten, energy performance certificates and the EPBD

In short

The recast EPBD (Directive 2024/1275) aims for a zero-emission building stock by 2050. Boverket leads Swedish implementation with support from Energimyndigheten. Energy class A0 arrived on 25 May 2026, law changes on 1 July 2026 and further rules are set for 1 October 2026.

Regulation is the strongest reason to start with energy AI. The recast Energy Performance of Buildings Directive entered into force on 28 May 2024 and was due to be transposed by 29 May 2026. New public buildings must be zero-emission from 2028 and all new buildings from 2030. Member states must set minimum energy performance standards for existing non-residential buildings and trajectories for residential ones, and new buildings must be ready for solar installations.

Boverket is the responsible authority and Energimyndigheten contributes energy expertise. Boverket's timeline says Swedish implementation is somewhat delayed and comes in stages: energy class A0 and a temporary zero-emission building definition from 25 May 2026, changes to the Planning and Building Act and the Energy Performance Certificates Act from 1 July 2026, and revised Boverket rules on energy management and certificates from 1 October 2026.

For owners, certificates and meter data become strategic inputs to renovation and financing decisions, and automation data required for compliance can also drive optimisation.

07 / 08 Chapter

## A 90-day plan for the first AI project

In short

Days 1 to 30: inventory data, pick one use case and set a baseline. Days 31 to 60: run a narrow pilot with people checking every output. Days 61 to 90: measure against the baseline, decide whether to scale and document governance.

**Days 1 to 30: choose and prepare.** Score candidates in the matrix and inventory data for the top two: where it lives, who owns it, whether it contains personal data. Pick one and set the baseline, such as energy per square metre, time to route a fault report or hours per lease review. Agree legal basis and processor agreements, and publish a short AI policy.

**Days 31 to 60: build a narrow pilot.** Limit scope to a few buildings, one fault-report queue or one lease type, using existing systems where possible. The people who do the work today check every output and log disagreements.

**Days 61 to 90: measure and decide.** Compare against the baseline, record the data problems you found, then scale, adjust or stop. Scaling needs an owner and a review cycle.

Alice Labs practitioner team

## Find the right first AI project for your property portfolio

A short discovery with asset management, operations and finance, ending in a prioritised use-case list and a pilot plan that meets GDPR and the AI Act.

Book a conversation

08 / 08 Chapter

## How Alice Labs works with property companies

In short

Alice Labs helps property companies choose the right first AI project, check data and GDPR readiness, build a measured pilot and scale what works.

We start with a short discovery: interviews with asset management, property management, technical operations and finance, and a review of your existing data. The output is a prioritised use-case list and a recommended first pilot with what it takes to run it lawfully. We then build the pilot with your team, measure it against an agreed baseline and hand over GDPR and AI Act documentation, including AI literacy measures. We are vendor-neutral.

Read more on our Swedish page on AI for the real estate sector (https://alicelabs.ai/industri/fastighetsbranschen), or see our approach to AI strategy (https://alicelabs.ai/en/ai-strategy) and AI automation (https://alicelabs.ai/en/ai-automation).

## About the Authors & Reviewers

Written by

Image: Eric Lundberg - Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/eric-lundberg.png)

Eric Lundberg (https://www.linkedin.com/in/eric-lundberg-3530451bb/)

Co-Founder, Alice Labs

Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations.

- AI automation & agent systems lead
- Workflow design across 100+ deployments
- Specialist in RAG, integrations & APIs

View profile: https://www.linkedin.com/in/eric-lundberg-3530451bb/

Eric Lundberg on LinkedIn: https://www.linkedin.com/in/eric-lundberg-3530451bb/
Email Eric Lundberg: eric@alicelabs.ai

Reviewed by September 29, 2026

Image: Linus Ingemarsson - CEO & Co-Founder, Alice Labs at Alice Labs (https://alicelabs.ai/images/linus-ingemarsson.png)

Linus Ingemarsson (https://www.linkedin.com/in/linus-ingemarsson/)

CEO & Co-Founder, Alice Labs

CEO & Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks.

- 8+ years in AI strategy & implementation
- Top-5 AI Speaker, Sweden (Mindley 2025)
- 100+ enterprise AI engagements

View profile: https://www.linkedin.com/in/linus-ingemarsson/

Linus Ingemarsson on LinkedIn: https://www.linkedin.com/in/linus-ingemarsson/
Email Linus Ingemarsson: linus@alicelabs.ai

Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line.

## Frequently Asked Questions

### What can a Swedish property company use AI for?

Energy and maintenance optimisation, fault-report triage and tenant service, lease analysis, commercial rent analysis, project development, and ESG and energy reporting.

### Which AI project should a property company start with?

One with high value and data you already have: energy optimisation where building automation exists, fault-report classification or lease extraction. Avoid tenant screening as a first project.

### Is AI tenant screening high-risk under the EU AI Act?

It can be. Annex III lists credit scoring of natural persons as high-risk, and recital 58 names access to housing. Have a lawyer assess the tool. The rules apply from 2 December 2027.

### Does GDPR apply to AI on fault reports and tenant data?

Yes. Follow IMY's guidance on GDPR and AI: define purpose and legal basis, minimise data, sign processor agreements and check whether a DPIA is needed.

### How does the EPBD affect Swedish property owners?

Zero-emission new buildings from 2028 (public) and 2030 (all), minimum energy performance standards for non-residential buildings and a zero-emission stock by 2050. Boverket implements it in stages during 2026.

### What is energy class A0 in Sweden?

A new top class in Swedish energy performance certificates, introduced on 25 May 2026 with a temporary definition of a zero-emission building. Buildings meeting that definition get A0.

### Do we need building automation data for energy AI?

It helps. Non-residential buildings with heating or cooling above 290 kW have needed building automation since 1 January 2025, and their trend data is the usual starting point.

### Can AI set residential rents in Sweden?

Not as in market-rent countries. Most residential rents are negotiated collectively under the utility value system. AI is more useful for negotiation analysis and commercial rents.

### Do our staff need AI training under the AI Act?

Yes. Article 4 has applied since 2 February 2025 and requires measures for sufficient AI literacy among staff using AI.

### How long does a first AI pilot take?

About 90 days if the data exists: one month on data and baseline, one on a narrow pilot and one on measurement and a scale decision.

Previous in AI for Industries

### AI Use Cases by Industry 2026: The Complete Data-Backed Guide
https://alicelabs.ai/en/insights/ai-industry-use-cases-2026

Next in AI for Industries

### AI in Media & Publishing: Content Creation, Distribution & Monetization
https://alicelabs.ai/en/insights/ai-in-media-guide

## Further reading

- Boverket: EPBD timeline (https://www.boverket.se/sv/om-boverket/boverkets-uppdrag-och-styrning/aktuella-uppdrag/direktiv-for-byggnaders-energiprestanda/tidplan-energiprestandadirektivet/)· boverket.se
- Energimyndigheten: The Energy Performance of Buildings Directive (https://www.energimyndigheten.se/effektiv-energianvandning/effektiv-energianvandning/lagar-och-krav-inom-energieffektivisering/direktivet-for-byggnaders-energiprestanda/)· energimyndigheten.se
- IMY: Guidance on GDPR and AI (https://www.imy.se/verksamhet/dataskydd/innovationsportalen/vagledning-om-gdpr-och-ai/)· imy.se
- EU AI Act, Annex III (https://artificialintelligenceact.eu/annex/3/)· artificialintelligenceact.eu

## Related services

AI for the real estate sector (Swedish): https://alicelabs.ai/industri/fastighetsbranschen

AI strategy: https://alicelabs.ai/en/ai-strategy

AI automation: https://alicelabs.ai/en/ai-automation

AI consulting: https://alicelabs.ai/en/ai-consulting

## Related reading

deepdive

### AI in construction guide

How AI is used in construction projects, from design to site operations.
https://alicelabs.ai/en/insights/ai-in-construction-guide

deepdive

### AI in financial services guide

AI use cases and regulation in banking, insurance and finance.
https://alicelabs.ai/en/insights/ai-in-financial-services-guide

## Sources

1. Boverket: Tidplan och hållpunkter för energiprestandadirektivet, EPBD (https://www.boverket.se/sv/om-boverket/boverkets-uppdrag-och-styrning/aktuella-uppdrag/direktiv-for-byggnaders-energiprestanda/tidplan-energiprestandadirektivet/)(accessed 2026-09-29)
2. Boverket (press release): Nytt krav på automatisk styrning i lokalbyggnader från 1 januari 2025 (https://via.tt.se/pressmeddelande/3722256/nytt-krav-pa-automatisk-styrning-i-lokalbyggnader-fran-1-januari-2025?publisherId=3236499&lang=sv)(accessed 2026-09-29)
3. Energimyndigheten: Direktivet för byggnaders energiprestanda (https://www.energimyndigheten.se/effektiv-energianvandning/effektiv-energianvandning/lagar-och-krav-inom-energieffektivisering/direktivet-for-byggnaders-energiprestanda/)(accessed 2026-09-29)
4. EUR-Lex: Directive (EU) 2024/1275 on the energy performance of buildings (recast) (https://eur-lex.europa.eu/eli/dir/2024/1275/oj)(accessed 2026-09-29)
5. IMY: Vägledning om GDPR och AI (https://www.imy.se/verksamhet/dataskydd/innovationsportalen/vagledning-om-gdpr-och-ai/)(accessed 2026-09-29)
6. EU AI Act, Annex III: High-risk AI systems (point 5(b), creditworthiness of natural persons) (https://artificialintelligenceact.eu/annex/3/)(accessed 2026-09-29)
7. European Commission: AI Omnibus enters into force (Annex III rules from 2 December 2027) (https://digital-strategy.ec.europa.eu/en/news/ai-omnibus-enters-force)(accessed 2026-09-29)
8. Fastighetstidningen: Sex av tio använder AI i fastighetsbranschen (survey by Fastighetsägarna, Fastigo and Sveriges Allmännytta) (https://fastighetstidningen.se/nyhet/sex-av-tio-anvander-ai-i-fastighetsbranschen/)(accessed 2026-09-29)

Next scheduled review: 2026-12-29

Alice Labs practitioner team

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