Spend less time on paperwork and more time on site. Bring project knowledge, quotations and reports together in reliable workflows that ease the pressure on your site management team.
Quotations arrive in different formats, making line items and scopes of work difficult to compare.
Drawing revisions, emails and photos are scattered across multiple systems and folders.
Site management and commercial teams lose time on repetitive documentation.
AI prepares and structures information and supports your team as they work. Your people always retain responsibility and make critical decisions.
The workflow uses email, PDF quotations and a bill of quantities.
Extract and match line items, and flag discrepancies.
You receive a draft comparison with sources, while purchasing and site management make the final decision.
The workflow uses daily notes, photos and project files.
Collate project-specific information and draft a report.
You receive a daily report with traceable sources for review, with no unsupported interpretations of photographs.
The workflow uses a form, email or site report.
Suggest the trade, location and urgency.
The relevant site manager receives a ticket, with approval required for critical priorities.
The workflow uses project inbox and approved documents.
Sort queries and link relevant document passages.
You receive a draft response with drawing revision details and sources; AI does not make technical decisions independently.
The workflow uses invoices and purchase order information.
Capture master data and flag duplicates and missing details.
You receive a prepared checklist, while your staff retain sole responsibility for approving invoices.
The workflow uses checklists, outstanding items and approved reports.
Consolidate outstanding items and draft the record.
The responsible project manager receives a draft they can verify.
Once drawings, reports and photos come together, your team decides what happens next. AI prepares line items, queries and document references so your site managers can review and approve rather than search for everything themselves.
Before the pilot, I check ERP and document management interfaces, access rights, optical character recognition quality and whether documents can be reliably linked to projects. Current drawing revisions must be clearly identifiable. Unclear information is referred for review, never guessed. Technical and commercial approvals remain with your designated staff.
Learn more about implementation and securityAll assumptions in these examples are for guidance only.
This example considers a medium-sized construction company.
60 tasks / month × 45 minutes · 55 % automation · 65 % realisation · 65 € fully loaded internal hourly rate
Limitations: Different specifications, variations and drawing revisions require expert review. Time freed up does not automatically translate into payroll savings. Integration effort and error rates are not included in this simplified calculation.
Calculate using your own figuresThis example considers a main contractor with several sites.
160 tasks / month × 20 minutes · 50 % automation · 60 % realisation · 60 € fully loaded internal hourly rate
Limitations: Photographs alone cannot prove progress or the absence of defects. Any gaps in the data remain clearly identified. Time freed up does not automatically translate into payroll savings. Integration effort and error rates are not included in this simplified calculation.
Calculate using your own figuresI get to know your process, assess your data and integrations, and prioritise what will make a real difference.
I implement a clearly defined workflow, put approvals and data privacy and security requirements in place, and test everything with your team.
I assess quality and value, strengthen team adoption, and scale only what proves effective in day-to-day work.
Since 2 February 2025, Article 4 of the EU AI Act requires businesses using AI systems such as ChatGPT or Microsoft Copilot to ensure their employees have sufficient AI literacy. Practical, documented AI training is central to this, including for teams with no prior knowledge.
AI automation is most useful for recurring information tasks with sufficient volume, clear rules and accessible data. An opportunity check assesses benefits, risks and integration effort before you invest.
Not necessarily. Existing tools can often be usefully extended. Whether a workflow, knowledge assistant or agent is appropriate depends on the process, data protection and available interfaces.
Data types, access rights, provider terms and retention are clarified before the pilot. Sensitive information belongs only in approved environments. This does not replace any necessary legal review.
Bring a recurring process to our conversation. Together, we will explore the opportunities, the prerequisites and the limitations.
Your call is held online, directly with me, with no obligation.
Frankfurt am Main, Germany