Training course · Make · Construction & Architecture

Make for Construction and Architecture

Automation with Make (formerly Integromat) and AI modules: build scenarios, routers and AI steps while keeping data protection in check.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Make for Construction and Architecture” is a hands-on course for roles such as Architects, Civil and building services engineers and Site managers and project managers. Rather than learning Make in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Construction & Architecture.

Make, formerly known as Integromat, is a visual automation platform that lets you connect applications and automate recurring processes without writing code. Over two days you will learn to build scenarios systematically, from triggers and modules through routers and filters to iterators, aggregators and data stores. You will understand how data flows through a scenario, how to reshape it with functions and how to keep an eye on operations consumption.

The second focus is AI. You connect language models through Make’s AI modules and provider integrations to classify text, extract information from emails and documents, draft replies or enrich content. You learn to catch errors with error handlers, test scenarios and document them clearly. Finally, you address data protection topics such as hosting region, data processing agreements and data minimisation, so that your automations can be run safely within your organisation.

Construction projects generate vast amounts of documentation: tenders, bills of quantities, specifications, minutes, snagging lists, variations, correspondence with authorities and standards. Architecture practices, engineering consultancies, contractors and clients spend a great deal of time on writing work that generative AI can speed up considerably. AI assistants help draft specification clauses, turn voice notes into site meeting minutes, structure variation claims, write competition and design statements and review extensive contract documents. Image-generating AI supports early design and visualisation stages. Professional and legal liability remains with designers and contractors – AI is a tool, not a substitute for knowledge of standards, structural engineering or site management.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Architects
  • Civil and building services engineers
  • Site managers and project managers
  • Estimators and planners at contractors
  • Client representatives and public works departments

Typical challenges we address

  • Heavy documentation workload on site and in the office
  • Extensive bills of quantities, contracts and standards
  • Contentious variations, defects and delay notices
  • Skills shortages alongside rising design and sustainability requirements

What you will be able to do

  • You can build Make scenarios independently using triggers, routers, filters and data transformations.
  • You can process lists and records with iterators, aggregators and data stores.
  • You can integrate AI modules for classification, extraction and text generation into your processes.
  • You can safeguard scenarios with error handlers, validation and human approval.
  • Produce minutes, specifications and correspondence more efficiently with AI.
  • Analyse contract and project documents with AI in a structured way and spot risks earlier.
  • Use AI responsibly with due regard to liability, standards and confidentiality.

Course outline

Day 1

Module 1 Fundamentals: scenarios, modules and data flow
  • Interface layout, scenario editor and execution history
  • Triggers, actions and searches: module types and their role in a scenario
  • Understanding bundles, mapping and data types and using them deliberately
  • Choosing between schedules, webhooks and instant triggers
Module 2 Logic: routers, filters, iterators and aggregators
  • Using routers and filters for branching and conditional flows
  • Splitting lists with iterators and combining them with aggregators
  • Applying text, date and maths functions to transform data
  • Using data stores and variables for interim values and duplicate checks
Module 3 AI building blocks in Make
  • Connecting language models via AI modules and provider integrations
  • Automating classification, structured data extraction and text generation
  • Building prompts from scenario variables and processing output as JSON
  • Combining AI agents in Make with tools and scenarios as actions
Module 4 Integrations, error handling and testing
  • Connecting common business applications and any API via the HTTP module
  • Applying error handlers such as Resume, Ignore, Break and Rollback
  • Validating AI output and routing unusable results to a person
  • Testing scenarios, optimising operations and documenting them for the team

Day 2

Module 5 Data protection, governance and operations
  • Assessing hosting region, data processing agreements and data flows to AI providers
  • Applying data minimisation and pseudonymisation within scenarios
  • Managing connections, teams and permissions across the organisation
  • Defining approval steps, monitoring and ownership for live operation
Module 6 Practice lab: Construction & Architecture
  • Drafting specifications
  • Site meeting minutes
  • Variations and correspondence
  • Reviewing contract documents
  • Competition and design statements
  • Defects management
Module 7 Data protection, quality & transfer to daily work
  • Professional and legal liability for design, tendering and site supervision remains with the designer or contractor; AI output must be checked against standards, building regulations and contract terms. Public contracts are subject to procurement law and tender confidentiality, and copyright in designs must be respected.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting specifications

AI helps write clear and complete item descriptions for bills of quantities, spot gaps and contradictions and structure preliminaries – reviewed by the designer. Gaps are flagged for the designer.

Site meeting minutes

Voice notes and bullet points from site meetings or inspections become structured minutes with findings, responsibilities and deadlines, circulated to all parties. Photos are linked to each item.

Variations and correspondence

Delay notices, variation quotes, notices of concern and replies are prepared objectively and in line with the contract, with reference to the relevant contractual provisions.

Reviewing contract documents

Building contracts, special conditions and specifications are summarised for deadlines, liquidated damages, warranties and departures from standard terms, as a basis for legal review. Differences between contract versions are highlighted too.

Competition and design statements

Design concepts, sustainability strategies and project descriptions for competitions, planning applications or presentations are written concisely and tailored to different audiences. Length limits in competition briefs are respected.

Defects management

Defect reports are classified by trade and location, descriptions standardised and letters requesting remedial work with deadlines prepared. Progress stays transparent for site management and client alike.

Prerequisites

You should be comfortable with common office and cloud applications and have some experience with AI assistants. No programming skills are required. Professional experience in design, construction or project management; no programming skills required.

Technical requirements

You will need a laptop with an up-to-date browser and a Make account; the free plan covers most exercises. API access for a language model is set up together during the course.

Data protection & compliance

Professional and legal liability for design, tendering and site supervision remains with the designer or contractor; AI output must be checked against standards, building regulations and contract terms. Public contracts are subject to procurement law and tender confidentiality, and copyright in designs must be respected.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Tue, 1 December 2026 – Wed, 2 December 2026 Augsburg Request
  • Mon, 14 December 2026 – Tue, 15 December 2026 Online Request
  • Tue, 12 January 2027 – Wed, 13 January 2027 Online Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Bremen Request
  • Mon, 8 February 2027 – Tue, 9 February 2027 Online Request

Frequently asked questions

Is Make the same as Integromat?

Yes. Integromat was renamed Make and substantially developed along the way. The core principle of visual scenarios made of connected modules remains, while a redesigned interface, many new integrations and AI building blocks have been added. If you used Integromat in the past, you will quickly feel at home and discover the new capabilities on the course.

How do I keep operation costs under control?

Every module that runs consumes operations or credits, and AI calls also use quota with the respective model provider. On the course you learn to design scenarios so that filters apply early, unnecessary runs are avoided and data is processed in batches. This keeps your automations economical and predictable as volumes grow.

Can Make be used in a GDPR-compliant way?

In principle yes, provided you set up the framework deliberately. This includes choosing the hosting region, signing a data processing agreement, reviewing connected AI services and applying data minimisation. On the course you work through these points with a checklist and learn to filter or pseudonymise sensitive data within scenarios.

Can AI produce a bill of quantities?

AI can draft item descriptions, suggest structures and highlight gaps. Quantities, technical requirements and alignment with standards and design remain the responsibility of the designer, who is also liable. In the course you practise using AI as a drafting aid and reviewing results systematically.

Can drawings and plans be uploaded to AI tools?

Only if confidentiality agreements, copyright and your firm's policies allow it and the tool is approved. Strict requirements apply especially for security-sensitive buildings or public clients. The course shows how to work with approved solutions and sanitised documents. Project names and addresses can be removed beforehand.

How much does “Make for Construction and Architecture” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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