Organize work with AI
Identify use cases, design and manage AI agents, train managers and adapt processes. The benefit comes from how teams work with these new capabilities.
Knowledge · Automation · Decision
Make AI a shared capability.
KADLOG helps organizations design practical AI uses, manage AI agents and rethink work around the value they create. We connect strategy, management and technology.
Our expertise
From strategy to execution.
Useful transformation starts with people, their work and their constraints. We also support business development and market understanding.
Accelerate go to market
Clarify positioning, identify relevant accounts, build sales channels and support commercial teams.
Make informed decisions
Analyze markets, key players and competitors to spot opportunities and focus action.
What we believe
Train.
Redesign.
Measure.
01
Equip decision makers
A manager who can direct AI agents coordinates a team and a new production capability.
02
Redesign the work
Agents change tasks and decisions. Roles and processes need to be reconsidered before their impact can be judged.
03
Measure the value
Assess quality, time saved and capacity to act, without reducing transformation to a headcount target.
Ideas in practice
A perspective shaped by hands-on work.
KADLOG combines advisory work, operational leadership and technology entrepreneurship.
EXPLORADÔME
AI transformation inside an organization
As Director General of the Exploradôme science museum, Didier Mascarelli creates and manages AI agents to support the museum’s teams and processes. This leadership experience informs a practical approach to change.
SEMIOS AI
Specialized AI for complex systems
Cofounded with Webinage, SEMIOS AI develops solutions to analyze technical documents and requirements in complex systems engineering.
Explore SEMIOS AIResearch & development
AI Genetics
Cybernetic Genome Framework · CGF
Experimental research program
Can persistent determinants of an AI system be represented as a cybernetic “genotype” and their expression measured in behaviour?
AI Genetics investigates whether configurable determinants of AI systems — persistent instructions, memory, tools, retrieval, agent policies and other configuration elements — can be organized in a formal framework supporting controlled variation, measurable expression and predictive analysis of behaviour.
The Cybernetic Genome Framework (CGF) is the primary research vehicle. It formalizes system state, a viability domain, regulatory operators and the field they generate: C = (X, V, Γ, ΦΓ).
Explore AI GeneticsHypotheses are being formalized and experimentally tested.
The project does not assume biological equivalence with DNA and does not claim to literally describe the internal mechanisms of LLMs.
Get in touch
What work are you looking to transform?
Tell us about your organization, goals and decisions ahead. We will start with your context.