Blog & resources
What we learn
in the field,
with SMEs.
What we see inside the companies we work with: what works, what gets stuck, and what we'd do differently.
AI in business: 7 concrete examples in SMEs
AI in business: 7 concrete, quantified examples in SMEs, from support chatbot to invoice processing, each paying off within a few months.
Flavien Bittar
arrow_forwardEU AI Act: what SMEs actually have to do in 2026
EU AI Act and SMEs: the 3 real obligations, the dated timeline (Feb 2025, Aug 2026), the risk levels and the penalties. Without the needless panic.
Flavien Bittar
arrow_forwardData governance and GDPR: the Belgian SME guide
GDPR and data governance for a Belgian SME: what the law requires, how to wire compliance onto lightweight governance, and where to start without a DPO.
Flavien Bittar
arrow_forwardRPA automation for SMEs: myth, reality and real use cases
What is RPA? Definition, 3 myths, real SME use cases, and when to pick RPA over AI (or both), without falling into the vendor lock-in trap.
Flavien Bittar
arrow_forwardTask automation for SMEs: the 10 to tackle first
Which tasks should an SME automate first? 10 concrete tasks with quantified time savings, the ROI calculation method, and the trap that wipes out the gain.
Flavien Bittar
arrow_forwardAI automation for SMEs: where to start (and where not to)
Automating an SME? Don't start with the tool. The 60/40 rule, the 4 automations that pay off fast, and the 6-8 week sequence to start without crashing.
Flavien Bittar
arrow_forwardAI Lock-in: What the Conway Leak Means for Your Multi-Model Strategy
Anthropic's Claude Code leak revealed Conway, an always-on agent. Here's what it means for your Anthropic dependency, and how to stay sovereign without giving up the best tools.
Flavien Bittar
arrow_forwardAI in SMEs: Why 91% of Projects Fail and the C.A.R.E. Framework to Join the 9% That Succeed
91% of AI projects fail to scale in SMEs. Discover the C.A.R.E. framework, the 60/40 rule, a 10-question maturity assessment, and 4 quick wins to launch your AI project in 6-8 weeks.
Flavien Bittar
arrow_forwardWhy 80% of AI projects fail: the missing foundations
Poorly structured data, undocumented processes and badly integrated tools are the three main reasons AI projects fail to deliver measurable results.
Flavien Bittar
arrow_forwardDigital maturity: how to assess your digital ecosystem in 5 steps
A practical guide to map your digital maturity without an external consultant. Assess your data, processes and tools with our proven framework.
Flavien Bittar
arrow_forwardData governance for SMEs: structure without bureaucracy
Data governance isn't reserved for large enterprises. Discover how to set up lightweight, pragmatic governance tailored to your size.
Flavien Bittar
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