The Intelligent Building Assistant

DEEP DIVE 09

The Intelligent Building Assistant

Ask your building a question — and receive an intelligent answer.

Modern properties generate millions of data points every day. Pinestack uses artificial intelligence to understand this information, detect correlations and provide concrete recommendations for owners, asset managers and facility managers.

Meet the building assistant
Explore the solution below
The Intelligent Building Assistant
The Challenge

The challenge

The digitalization of buildings has produced an enormous variety of data. Energy consumption, sensors, building automation, maintenance information, desk bookings and many other systems continuously deliver new information. For people, recognizing all the correlations and deriving the right decisions is getting harder and harder.

At the same time, decision-makers expect fast answers to complex questions — without wading through countless reports or comparing different systems. This is where artificial intelligence can make a decisive contribution: not by replacing people, but by making information understandable and supporting decision processes.

Typical questions from our customers

  • Why are energy costs rising in Building A?
  • Which system needs attention today?
  • Which floor can be closed tomorrow?
  • Where are unnecessary operating costs arising?
  • Which investment delivers the highest benefit?
  • Which measures should we implement first?

What results are possible?

The intelligent building assistant reduces analysis effort and accelerates decisions. Its greatest strength is translating complex information into understandable recommendations.

Naturallanguage instead of dashboards
Fasteranalysis
Well-foundedrecommendations
  • Managementfaster decisions
  • Facility managementless analysis effort
  • Asset managementbetter prioritization
  • Energyearly optimization
  • Maintenanceintelligent recommendations for action
  • Usersunderstandable answers instead of complex dashboards

The Pinestack Solution

The digital assistant for your property

ONEvr forms the shared data foundation. On top of it run different analytical methods: mathematical optimization, statistical models, rule engines, machine learning, generative AI and agentic AI for defined processes.

The intelligent building assistant uses these methods to answer questions in natural language — for example: “Why is Building A consuming more energy today?” or “Which measures will save the most costs over the next four weeks?” The answers are based not on assumptions, but on your property’s live data.

From data to an intelligent recommendation

01

Collect building data

All systems deliver information continuously

02

ONEvr connects all information

One shared data foundation for every analysis

03

Analysis by algorithms and AI

Detect patterns, understand correlations

04

Prioritize recommendations

Management decides on a solid foundation

05

The building keeps learning

Every decision improves the next one

Case Example

Starting Point

An asset manager oversees several office buildings. The weekly portfolio review requires gathering and evaluating information from different systems. The analysis is time-consuming and depends heavily on the experience of individual staff.

Implementation

The intelligent building assistant continuously analyzes energy consumption, space utilization, technical systems and service processes. Anomalies are automatically prioritized and summarized in plain language.

Result

Every morning, the asset manager receives an overview of the most important developments and concrete recommendations. Decisions can be prepared faster and implemented in a more targeted way.

Why Pinestack?

Which decision should I take today?

Many vendors integrate artificial intelligence these days. Pinestack asks a different question. AI is not an end in itself. It helps people understand complex correlations faster and make better decisions. That is precisely where its greatest value lies.

Knowledge Box

Primary KPIReduce costs · increase efficiency · increase productivity
Target groupsExecutive management, owners, asset managers, facility managers
Pinestack productsONEvr, Atlas, PETE, PIA
Typical data sourcesAll systems integrated via ONEvr
Expected benefitFaster analysis, understandable recommendations, better decisions
Implementation effortBuilds on the existing data platform; AI functions added step by step

Frequently asked questions

Who is this use case for?

This use case is designed for executive management, owners, asset managers and facility managers.

Which Pinestack products are involved?

The use case builds on ONEvr, Atlas, PETE and PIA.

Which data sources are used?

Typical data sources are all systems integrated via ONEvr.

What is the implementation effort?

Builds on the existing data platform; AI functions added step by step.

What benefit can we realistically expect?

faster analysis, understandable recommendations and better decisions.

What makes Pinestack different from conventional systems?

Many vendors integrate artificial intelligence these days. Pinestack asks a different question. AI is not an end in itself. It helps people understand complex correlations faster and make better decisions. That is precisely where its greatest value lies.

The future of intelligent buildings is not AI making decisions. It is people making better decisions with AI.

The intelligent building assistant combines building data, analysis and artificial intelligence into a new form of decision support. Information becomes understandable, measures become traceable, and properties are managed more successfully.

Experience the intelligent building assistant

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