cplace Solution Design
Translate business requirements into clean, implementable cplace concepts.
1 day | Remote or on-site | 4–8 participants | Preparation 3–4 weeks | €1,990 per participant
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What it’s about
cplace Solution Design builds the competence to translate business requirements into clean, implementable cplace concepts — the skill AI does not replace. You learn to document technical concepts the cplace way and to run a solution concept meeting methodically.
Who it’s for / Prerequisites
For solution consultants, solution engineers, solution architects and citizen developers. You can implement cplace no-code and simple low-code (No-Code Implementation and Low-Code with AI recommended) — a concept builds on an understanding of implementation.
Key topics
- From requirement to cplace design — no-code and low-code specification and how to document it
- Best-practice building blocks as a concept guideline — components, PPM modules
- Building an implementable specification
- The solution concept meeting as the decision format in the project
- AI support in concept work
What you’ll be able to do
- Translate a business requirement into a cplace concept and decide what is solved with no-code and what with low-code.
- Use AI in your concept work and recognise which decisions you have to make yourself.
- Document technical concepts the cplace way so they are directly implementable, including by AI.
- Apply best-practice building blocks — components, PPM modules.
- Run a solution concept meeting methodically.
What you Take away
The solution concept you developed in the format. cplace Solution Design is part of the build path of No-Code Implementation, Low-Code with AI and cplace Solution Design, the learning path for the solution builder role.
How an enquiry works
Interest → scoping → quote → preparation → delivery
Recommended, not required: if you know exactly what you need, enquire directly.
FAQ
Recommended — no-/low-code skills help, since a concept builds on implementation understanding. It’s not mandatory.
AI already takes on part of the concept work today, and that is exactly what you learn here: how to work with AI instead of ignoring it. What stays with you is the decision whether a concept holds up technically and in substance.
