We build agentic systems.
Traditional software waits for someone to operate it. An agentic system takes on the work and comes back when your judgment is required.
What we see
4.8×
Productivity growth at companies that put AI to work in their operations.
Source: McKinsey, 2025
Software digitized the work. Now it has to take it on.
For decades, progress in software meant handing people more capability. That trajectory rebuilt entire companies, but it left one assumption in place, so quietly that no one thought to question it: someone would always be there to open the app, read the screen, choose the next action and keep the work moving. Capability went up. So did the hours spent operating it. We answered complexity with more complexity.
HNTIC exists because the technology finally lets us drop that assumption. Coded rules run deterministic functions. Trained models predict and generate. Agentic AI pursues an objective, picks its tools and runs a sequence of steps. That is the technology; an agentic system is what you build with it — a declared scope, rules, and a return to a human with a result or a call to make. We are not bolting AI onto the interfaces you already have. We design software where agentic execution is the architecture.
The new division of labor
Software is operated. An agentic system is directed.
The system watches continuously; gathers and consolidates information; prepares and personalizes the work; coordinates across tools and channels; executes what repeats; tracks status, deadlines and follow-ups; surfaces exceptions and results. You keep the objectives and the priorities; the limits of autonomy; the decisions that commit the company; the judgment calls when the situation is ambiguous; ownership of the relationship; negotiation, trust and the close; the ability to correct, interrupt or take over at any point. Autonomy does not mean no humans. It means no humans stuck operating software.
Our founding principles
Humans direct. Systems execute.
People set the objectives; the system carries out the work. Autonomy runs inside limits you write down, and human judgment is pulled in at the points of accountability — when an action touches the brand, the customer, the budget, compliance or the relationship.
Deliverables, not logs.
The agentic inbox is the line between autonomous work and human decision. Agents come back with a deliverable, an exception or a decision stated plainly for you to make. Every request explains why it earns your attention, facts stay distinct from inferences and recommendations, and the work you never see stays auditable.
The relationship stays human.
Technology automates what surrounds a relationship, never accountability for it. An agentic system learns from observable outcomes, not just from interactions, and you measure it by the work it absorbs and the human attention it frees up.
Paris
9 rue des Colonnes
75002 Paris, France
Insights
Our latest thinking
Agent IA ou automatisation (RPA) : la différence qui change ce que vous achetez
« On a déjà automatisé ça » : la phrase qui enterre les mauvais projets IA. Workflow, RPA, agent, système agentique — quatre objets différents, un test simple pour les distinguer.
Qu'est-ce qu'un système agentique ? Définition, propriétés et exemples
Un système agentique n'est ni un chatbot ni une automatisation : c'est un logiciel qui poursuit un objectif sous supervision humaine. Définition, les 7 propriétés nécessaires, et ce qui n'en est pas.
La vente telle qu'on la connaît est terminée. Et c'est une bonne nouvelle.
Pourquoi vos meilleurs commerciaux passent plus de temps à opérer des outils qu'à vendre, et ce qui est en train de changer.