SERVICE · 1 TO 2 WEEKS
MAKIA Build
1 to 2 weeks to deliver a working agent, workflow, app, or website: MAKIA framing, prototyping on Lovable / Make / n8n, testing with your team, handoff into production.
Recent case: Rivinnov — engineering team trained, ROI tracker and quote assistant now in production. — Averages observed by Makia Labs across 30 industrial SMEs (2024–2026). Varies with adoption depth.
Needs scoping, building the tool (agent, workflow, app, or website), integration of your data, user iterations, tested version with usage documentation.
1 to 2 weeks · 1 sprint = 1 use case
Teams and leaders without the time or skills to build the tool in-house, who want to see it running before committing a wider budget.
A working AI tool on one specific use case — agent, workflow, app, or website — documented, ready to be adopted or killed.
Indicative investment: on quote, after scoping
METHOD
How the MAKIA framework applies
MAKIA Build starts with the MAKIA filter: if the use case doesn't pass Meaning or Impact, we don't build it. Better to stop on day 1 than on day 45.
FAQ
What leaders typically ask
Why a sprint instead of a long project?
To confront the idea with real usage in two weeks rather than debate for six months. If the prototype isn't used, we kill it early.
Which tools do you use?
Whatever fits the case: Lovable for apps and websites, Make or n8n for workflows, ChatGPT Projects, Claude Projects or Gemini Gems for agents. The tool fits the case, not the other way around. Makia Labs is a Lovable Solution Partner.
Who owns the prototype at the end?
You do. Documentation, prompts and configuration are handed over to your team.
How much does an AI prototype sprint cost?
From €6,000 excl. VAT for one week, €9,500 excl. VAT for two weeks. One use case per sprint, deliverable included.
How do you measure the ROI of an AI prototype?
The sprint sets a value metric on day 1 (minutes saved per task, adoption rate, quality). A day-30 report decides whether the prototype ships to production or gets killed.
30 minutes. No slides. We look at one of your use cases.
DEPLOYMENT AND GOVERNANCE
Choose, configure, and roll out the right AI tools across your teams, safely.
Tool selection by use case (ChatGPT, Claude, Gemini, Notion AI...).
Workspace setup and permissions.
Data governance and GDPR compliance.
Training for internal administrators.