of surveyed organisations are not using AI yet.
Source: RICS, AI in Construction 2025AI in architecture, engineering and construction
From plans to the construction site: AI that works in real projects.
Review tenders faster, compare bids systematically, make project knowledge accessible and support detailed design with secure, practical AI solutions for the AEC sector.
AEC + AI
Less searching. Faster coordination. Better decisions.
Where the sector stands today
Strong potential. Limited scale so far.
Technology is not the only constraint. Data quality, system integration, professional expertise and a clear starting point are what matter.
have scaled AI across multiple projects.
Source: RICS, 2,200+ professionalsof project managers and quantity surveyors expect AI to help them deliver more value.
Source: RICS, AI in Construction 2025Across the entire value chain
AI connects information across project phases.
The greatest value emerges when documents, models, decisions and responsibilities no longer remain separated.
Property development
Prepare site, feasibility and option analyses faster.
Design & planning
Bring requirements, design versions and specialist information together more easily.
Tendering & procurement
Review documents, compare items and structure clarification questions.
Detailed design
Coordinate design changes, interfaces and open issues more effectively.
Construction site & controls
Continuously document reports, tasks, risks and decisions.
Handover & operations
Make project knowledge usable for documentation, facility management and existing assets.
Practical applications
Use cases with direct project relevance.
We prioritise solutions by value, feasibility, data readiness and risk – not by the latest tool.
Tender and specification assistant
Extract requirements from extensive documents, identify contradictions, structure content and prepare first drafts of clarification questions or specifications.
Value: faster reviews and more complete responses
Bid comparison and procurement support
Standardise items, prices, exclusions and assumptions. Differences become visible while evaluation and procurement decisions remain with the responsible professionals.
Value: better comparability and less manual spreadsheet work
Drawing, model and document search
Search minutes, specifications, drawing registers and approved project documents in natural language – with source references, access rights and version context.
Value: less searching and faster access to reliable answers
Assistant for detailed design and model review
Suitable converters and interfaces can make structured drawing and model data searchable, compare versions and check attributes for completeness.
Value: identify changes and information gaps earlier
Design coordination and RFI assistant
Review drawings, specifications, specialist inputs and meeting minutes for inconsistencies and prepare structured requests for information.
Value: clearer interfaces and fewer clarification loops
Site reports and meeting documentation
Turn notes, voice input and images into structured reports, decisions, tasks and action items – including ownership and deadlines.
Value: consistent documentation created directly from day-to-day project work
Variation and claims documentation
Bring changes, evidence, correspondence, dates and impacts together in a structured record. Legal and commercial assessment remains with qualified professionals.
Value: traceable records and less information loss
Schedule, risk and task agent
Monitor dependencies and open issues, remind project teams and bring relevant changes from systems and documents into the workflow.
Value: respond earlier and follow up reliably
Realistic, not overstated
What AI can realistically do with DWG, BIM and IFC.
A language model does not automatically understand every CAD file. Value comes from a clean data pipeline, suitable interfaces and clearly defined review tasks.
- Structure: Make attributes, quantities, components and drawing information usable from suitable data formats.
- Compare: Review versions, requirements and model information for changes or gaps.
- Query: Find technical information using natural language and connect it to original sources.
- Approve: Technical assessment, liability and final approval remain with qualified professionals.
Open standards such as IFC, IDS and BCF support interoperable data flows and collaboration across systems. Learn more about openBIM from buildingSMART
Trust and accountability
AI accelerates the work. Accountability remains clear.
In construction, outputs must be reviewable, data protected and approvals clearly defined – especially for safety- or contract-related tasks.
Sources & versions
Answers must refer to approved documents, valid drawing versions and traceable sources.
Professional approval
AI prepares and supports. Qualified professionals review and remain accountable for the outcome.
Data & access rights
Project, contract and personal data is processed only in approved environments and according to defined roles.
Interoperability
Open standards and well-designed interfaces reduce dependencies and improve data quality.
Risk by use case
A text draft requires different controls from a review that can affect safety, cost or liability.
Transparent use
Teams and clients know when AI is used, what its limits are and who makes the decision.
Enabling people
For the roles that keep projects moving.
We connect technology with the real tasks, decisions and responsibilities of your teams.
Architects
Engineers & specialist designers
BIM & information management
Estimating & procurement
Project & construction management
Client representatives
Real estate & facility management
Executive management
The goal is not to replace professional expertise. It is to make expertise easier to find, reuse and apply at the right moment.
How we help
From the first use case to safe application.
Start with a clear problem, a suitable pilot process and the people who work with it every day.
Corporate AI Training
Practical foundations, sector-specific examples and safe use of generative AI for your teams.
Explore training →AI Use Case Workshop
We identify relevant processes, assess value, feasibility and risk, and define an actionable roadmap.
Explore the workshop →Microsoft Copilot enablement
Use Copilot effectively in Microsoft 365 with suitable working practices, governance and practical AEC scenarios.
Explore Copilot services →AI advisory & agents
Bring data, processes, tools and responsibilities together so a pilot can become a reliable solution.
Explore advisory →Practice before hype
Understand the technology. Make it work in the business.
VOICETECHHUB combines AI expertise, enablement and implementation experience. Together, we develop solutions that fit your systems, projects and professional roles.
17'000+
people in our AI community
150+
companies and organisations supported
Since 2019
focused on applied AI and transformation
Hands-on
Use cases, prototypes and new ways of working
FAQ
Common questions about AI in construction.
Which AI applications are already realistic today?
Document- and knowledge-intensive tasks are particularly realistic: searching documents, extracting content, creating minutes and reports, comparing bids, preparing clarification questions and structuring tasks and risks. Technical or safety-related outputs still require professional review.
Can AI understand DWG or BIM files directly?
Not automatically. DWG, BIM or IFC data must be made accessible through suitable exports, converters, APIs or specialist tools. AI can then query attributes, compare versions or flag missing information. The quality depends heavily on the data structure and modelling standard.
Can AI create or review tender documents?
AI can extract requirements, structure specifications, flag gaps or contradictions and prepare draft text. Final technical, legal and commercial review must remain with the responsible professionals.
How can AI support bid comparison?
It can standardise different bid formats, map items, highlight exclusions and assumptions, and make differences visible. This prepares the decision basis faster without automating the procurement decision itself.
How do we manage liability and accountability?
For each use case, we define clear approvals, documented sources, roles and control steps. AI provides suggestions or analysis, but professional accountability remains with qualified people.
Our data is spread across many systems. Can we still start?
Yes. A pilot does not have to connect every system immediately. A clearly scoped process using selected, high-quality data is often the better starting point. Interfaces and data sources can then be expanded step by step.
Is this approach suitable for SMEs?
Yes. SMEs can benefit particularly from clearly scoped use cases that reduce recurring administrative work. A measurable goal, a responsible owner and a solution that fits the existing technology environment are essential.
The right next step
Where can AI create the greatest value in your construction projects?
Tell us briefly where you are today. We will help you assess relevant use cases, capability needs, governance questions and the right next step.
Nina Habicht
Founder & CEO · Dreamleap
Book an Intro Call