01
Strategic diagnosis
We audit the real situation before investing. Value gap, hidden costs and a pragmatic viability filter.
- Honest maturity map
- Hidden costs identified
- Prioritized — not stacked — use cases
Consulting · AI adoption
Intelligence
applied to business.
We design AI adoption for companies that want measurable outcomes, not experiments. Strategy, training and data with systems thinking.
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Food service ✦Pharmacies ✦Agribusiness ✦Construction ✦Logistics ✦Healthcare ✦Retail ✦Manufacturing ✦Food service ✦Pharmacies ✦Agribusiness ✦Construction ✦Logistics ✦Healthcare ✦Retail ✦Manufacturing ✦Food service ✦Pharmacies ✦Agribusiness ✦Construction ✦Logistics ✦Healthcare ✦Retail ✦Manufacturing ✦
Who LIVEM is for
Two conversations, one goal: making AI produce real value.
If you're starting
You don't know where to begin and the urgency feels real.
We help you avoid the most common trap: investing in tools before defining which problem is actually worth solving first.
If you already implemented
AI is running but the results aren't landing.
We diagnose why pilots don't scale. Almost always it isn't a technical issue — it's governance, data or training.
Services
Four pillars.
We work on the only thing that sustains real AI adoption: executive judgment, people, data and a plan that actually runs.
02
Human factor
70% of the value of an AI project depends on people and process. We design change, delegation and literacy by role.
- Change management
- Tiered human–AI delegation
- Role-based literacy
03
Data architecture
Without foundations, any model amplifies chaos. Basic governance, breaking silos and realistic architecture.
- Quality and ownership
- Silo removal
- Sustainable architecture
04
Execution roadmap
Prioritization with matrices, a 90-day pilot and scaling with judgment. No endless pilots.
- Prioritization matrices
- 90-day pilot
- Flywheel scaling
How we work
A calm method. Four moves.
Phase I
Listen
We understand the business before the technology.
Phase II
Diagnose
Honest map of maturity, data and processes.
Phase III
Design
Roadmap prioritized by value, not by trend.
Phase IV
Accompany
Implementation, training and living governance.
Philosophy
"Artificial intelligence doesn't transform a company. What transforms it is the deliberate decision of how, where and why to use it."
We work with systems thinking: every technology decision is evaluated by its impact on people, processes and governance.
Insights
Published thinking.
Projects
Applied work.
Apps
Tools to use today.
Small interactive apps that help you decide better — free, no sign-up.
Let's talk
The next decision
starts with a conversation.
45 minutes, no commitment, to understand where you are and which move makes most sense for your company.