A possible pilot
Review a specification for requirements and open questions, preparing a checklist for estimating and project management.
AI in construction · For large organisations & Enterprise
AI for construction groups and complex projects
When projects, branches and specialist teams work together, an individual AI tool is not enough. We help larger construction organisations align project knowledge, document processes and responsibilities for controlled AI use.
YOUR STARTING POINT
From a project experiment to a sustainable standard
Leadership, project teams and IT need to know whether a solution can work beyond one pilot. Which data may be shared across projects? Who owns document versions and approvals? We connect these questions to a concrete use case and clear criteria for extending its use.
POSSIBLE APPLICATIONS
Where AI could support your team
Use knowledge across project boundaries
Make approved project records and lessons learned accessible through role-based access. Answers should reference sources and versions; confidential content from other projects must not become visible through a search. Photos supplied with the notes can be assigned to a draft for review.
Structure tenders and changes
Prepare requirements and document changes for specialist review. A pilot assesses completeness, source traceability and checking effort. Project and contract teams retain responsibility for the conclusions.
Make project reporting comparable
Prepare status updates from several projects using an agreed structure. Shared definitions, traceable sources and documented approvals provide a basis for management reporting.
FROM IDEA TO DECISION
Define the pilot, approval and operation
A useful pilot produces a decision brief: assessed data sources, quality criteria, ownership and an estimate of ongoing effort. Its scope and deliverables are agreed before implementation.
Your existing environment — to be assessed:Document management / CDEERP and project controllingBIM documentationIdentity and access managementSORBA / Abacus Bau / MESSERLI
Select a representative pilot
Choose a workflow with its domain owner. Agree source access, typical cases, exceptions and a comparison with the current process.
Agree acceptance criteria
Assess output quality, traceability, errors, review effort and costs. Define who approves wider use and which findings would stop it.
Assign operational ownership
Plan maintenance, support, permissions and changes. Check differences between teams or sites before extending use.
The Right Fit for Your Company
Training empowers your team to use AI independently in their daily work. Our consulting, on the other hand, guides you strategically from potential analysis to company-wide integration.
Training for Enterprise teams
Train site managers, central functions and project teams by role, with shared review rules, relevant examples and clear ownership.
Explore training
Enterprise AI consulting
Prioritise use cases, clarify systems and access boundaries, and prepare the pilot, acceptance criteria and cross-site operation.
Explore consulting
Not entirely sure yet?
Simply contact us for a no-obligation initial consultation.
Free initial consultationIndustry FAQ
Answers to Key Questions
01How do we preserve project boundaries in AI search?
- The solution must account for source-system permissions and test them against actual roles. Together with IT and project owners, we examine permitted data areas, source references, deletion and unapproved documents before wider use.
02How do we decide whether to extend a pilot to other branches?
- A representative project provides the evidence. Evaluate answer quality, rework, access boundaries, team adoption and operating costs. Then define shared standards and necessary local differences for additional branches.
03How are estimating and project data protected?
- Unit prices, post-project calculations and plans may contain trade secrets. Before use, clarify approved data, access rights and provider terms. Whether inputs are used for model training must be checked for the specific account and feature.
04Can existing construction software and mobile workflows be included?
- Connections to SORBA, Abacus Bau or MESSERLI depend on interfaces, licences and permissions. We assess the specific exchange first. Mobile notes and supplied photos can provide source material. Safety instructions and translations require expert review; understandable instruction on site remains necessary.
05What determines the cost?
- Scope, data access, integration, evaluation and operating requirements determine the effort. The proposal should distinguish pilot work from licences, usage charges and ongoing support. The investment decision follows an agreed scope, not a generic savings promise.
06Who should be involved in the first discussion?
- Include the process owner and a business decision-maker. Where data access or integration is relevant, involve IT and the responsible security or data protection owners. Together we identify who can approve the pilot and maintain the result.
07What happens in the initial consultation?
- We discuss the process, organisational scope, available systems and decision-makers. The next step could be a focused assessment, a scoped pilot or role-based training. Timing, deliverables and responsibilities are agreed for the specific assignment.
AI in construction
Turn an idea into a reviewable next step
A useful starting point is a specific task. These points help you assess value, effort and prerequisites for your project.
Adoption in a large enterprise
Account for project entities, external partners and document access. Pilot one project before introducing it to other branches.
Inputs we need
Approved tender documents, current versions and a review template. Distinguish drawing revisions and change orders.
How to evaluate value
Compare search and review time, missed items and specialist corrections with current processing.
What still needs professional review
Quantities, structural safety and contract interpretation require professional review. A summary is not an approved plan.
What determines the effort
Data preparation, the number of systems, exception handling and professional review affect the effort. The proposal defines deliverables, acceptance, ownership and recurring costs. A more extensive solution is worthwhile only when the additional value justifies it.
Discuss a suitable starting point
We discuss your task and clarify which service fits.
Prepare your next AI decision
Discuss a concrete use case with us, including its domain owners, system boundaries and success criteria.
Request a free initial consultation