Where to start before building your own tool
Before adding a new platform, observe your day: repetitions, double entries, critical Excel files, copy-pasting, slow decisions.
Hub — Technology & AI
Business tools, internal SaaS, automation, AI: our analyses to decide what to build, when to buy rather than develop, and how a project goes from an idea to a tool people actually use.
10 articles
Artificial intelligence becomes genuinely useful when it leaves the demo and enters operations: a repetitive task automated, scattered information centralised, a document generated, a decision informed.
This hub gathers the Build with AI series and the analyses around it. It handles the question in the order it actually arises: which business problem are we solving, and only then which technology to build.
It also covers the trade-offs that come before the first line of code: buy an existing solution or develop one, at what cost, and how to tell whether the tool really creates value.
Identifying the right first project, starting from what already exists and targeting the time actually lost.
Before adding a new platform, observe your day: repetitions, double entries, critical Excel files, copy-pasting, slow decisions.
Many business tools start without a developer: with a spreadsheet. When the file becomes critical, it may deserve its own tool.
The wrong question: “Which jobs can we replace?” The right one: “Which tasks keep our teams from doing their real job?”
The economic trade-offs that come before development: existing solution, budget, value produced.
Not everything deserves to be built. Buy when the need is standard, build when the process becomes specific — and the third way: Build + Integrate.
Cost depends less on the word “SaaS” than on what the product must actually do. Orders of magnitude, from scoping to a structured SaaS.
An internal tool doesn't need to generate revenue to be profitable: time, errors, delays and operating costs count too.
What AI concretely changes in designing a tool and in the daily work of teams.
AI lets you build faster. But the starting point of a good SaaS is not artificial intelligence: it's a friction.
Purchasing, supply chain, e-commerce, marketplaces, sales, customer service, finance: these data-rich environments are especially suited to automation.
How a project actually runs, from the first question to the deliverable.
Building a digital product shouldn't start with six months of specifications. Our approach favours short cycles. Build small. Learn fast. Improve continuously.
A company doesn't need new software. It needs to solve a problem. The 7 steps: Discover → Map → Scope → Build → Test → Deploy → Improve.
Before talking technology, let's talk about the problem. We analyse your workflow, identify the tasks that can be simplified or automated, and determine whether a business tool, an integration or AI can really bring value.
BUILD project mode
Discover
Understand the problem.
Map
Map the workflow.
Scope
Define the minimum useful product.
Build
Build.
Test
Test with users.
Deploy
Integrate into operations.
Improve
Measure and improve.
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