Compliance Connection Ghent 2026
📅 June 18, 2026
🕛 09:00 - 17:30 (incl. breakfast, lunch & networking)
🗣️ English
📍 Harmoney Office, Ghent (Belgium)
About the event
Compl.IA.nce as a Service is an event dedicated to examining how artificial intelligence is integrated and put to work in the field of compliance. The aim is to explore, in a structured and operational way, the technological challenges involved, the associated governance models, and the capabilities and use cases that strengthen compliance frameworks. Through this format, we share with our guests a concrete view of the transformations underway, putting into perspective the opportunities AI offers, the conditions for implementing it, and the requirements for risk control and regulatory compliance.
For this first session, we have chosen customer knowledge as the focus, or more precisely, knowledge of your counterparty.
From 'Know Your Customer' to 'Know Your Counterparty'
Building the industrial-scale decision chains of compliance in the era of operational AI.
An executive half-day in Paris for decision-makers who want to understand how to orchestrate data, specialised AI agents, human oversight and demonstrable evidence within a trust architecture that is coherent, governable and built to scale.
When we talk about Know Your Counterparty, we are not referring only to customers in the strict sense, but to all of an organisation's counterparties: customers, partners, suppliers, investors, intermediaries and platforms with which it has a business relationship.
Why this edition now
The traditional compliance model is reaching saturation. It was designed for a document-based, sequential system that scaled through people, whereas flows are now real-time, architectures have grown more complex, counterparties are dynamic and the demand for evidence has become constant.
In this context, AI on its own solves nothing when it is bolted onto a fragmented architecture. On the contrary, it tends to amplify the data inconsistencies, systemic biases and governance weaknesses already present in the setup.
The question is therefore no longer how to add a few AI components to existing KYC processes. The question is how to rebuild the decision chains of compliance so that they can be industrialised, supervised and orchestrated at scale.
What you will take away from this morning
By the end of the morning, three convictions should be settled. First, compliance has become a matter of architecture, not only of regulation. Second, effective AI in compliance does not take the form of a single tool, but of a chain of specialised agents that are coordinated and governed. Third, tomorrow's advantage will belong to the institutions that can effectively orchestrate data, models, oversight and demonstrable evidence of risk.
In concrete terms, you will leave with real cases, explained architecture choices and a demonstration of a decision chain handling a counterparty case from end to end. Enough to assess, in very practical terms, how to evolve your own setup towards a risk architecture that is more coherent, more governable and more demonstrable.
Who is this for?
This edition is reserved for decision-makers who design, build or transform compliance and counterparty risk management frameworks.
It is aimed in particular at Chief Compliance Officers, AML/KYC leads, Risk departments, CIOs, CDOs, IT architects and C-suite executives who carry compliance and risk responsibility at executive level.
The morning is designed for those who make the calls on architecture, industrialisation, governance, data and transformation within banks, insurers, fintechs, payment service providers and the wider financial sector.
What makes the difference
- We will talk about facts, not slogans. Counterparty risk management as it actually works today, with its numbers, its constraints and its blind spots.
- We will talk about experience, not concepts. Transformation programmes that had to be redirected, architecture choices that held up over time, and others that showed their limits.
- We will talk about demonstration, not intention. A live sequence will show how an AI-native compliance architecture handles a counterparty case (KYC/AML type) from end to end: data, agents, decisions, evidence.
- The aim of this morning is not to defend a narrative about "AI in general". The aim is to show, in concrete terms, what governable compliance becomes when it is treated as an architecture rather than as an accumulation of controls.
Speakers
Marielle Fernainé
Partner Financial Services, Compliance & Risk augmented with Data & AI at KYC Consulting
François Jaussaud
Head of Fraud, Compliance and Security Intelligence at SAS France
Didier Alleaume
Risk & Compliance Partner at Artimon
Matthieu Boussard
Co-founder & Head of AI at Craft AI
Francis Goter
Data & AI Transformation Architect at Clever Age
The programme
Welcome and networking
From 8:30 am, breakfast and open conversation between participants.
Opening note: is today's compliance system still capable of operating at scale?
The morning opens on a breaking point: a surge in false positives, regulatory inflation, operational saturation and systemic fragmentation. Legacy frameworks no longer scale. The question is no longer only Know Your Customer, it is becoming Know Your Counterparty.
Roundtable 1: is data becoming the real engine of compliance?
The informational foundation of risk. Identity, relationship, transaction, event: the four dimensions of risk data are examined through the lens of quality, lineage, trust scoring and source of truth. AI is not a solution to fragmentation, it is what exposes it.
Roundtable 2: how do you orchestrate AI-native compliance at industrial scale?
The intellectual and technological core of the morning. Why do isolated AI approaches fail at scale? Anatomy of an orchestrated chain: collection agents, quality control, analysis, continuous monitoring, alert handling and challenge. In an orchestrated architecture, people are no longer absorbed by industrial noise. They arbitrate, supervise and govern.
Break & networking
Roundtable 3: who supervises the systems that supervise risk?
The real governance of a largely automated compliance chain: effective human in the loop, automation bias, model governance, auditability, and a challenger agent as a native internal control. Automation does not remove responsibility. It redistributes it towards the supervision of the systems.
Closing conversation: who will build the trust architectures of tomorrow's financial system?
Compliance as critical infrastructure. At the intersection of real-time architectures, technological sovereignty, continuous supervision and counterparty orchestration, what is the role of financial institutions, regulators and technology players in building the trust systems of the coming decade? The morning closes at 12:30 pm.
What we will discuss
We will start from real compliance and counterparty risk situations as they are experienced inside organisations: data fragmentation, a flood of alerts, the difficulty of producing evidence, overstretched teams and rising governance requirements.
The conversations will focus on concrete architecture choices: how to structure risk data, how to organise a supervisable decision chain, how to combine specialised agents, human control and auditability, and how to keep demonstrability possible over time.
A live demonstration will illustrate this logic on a real KYC/AML counterparty case. The goal is not to present a technological promise, but to show how coherent orchestration connects data, analysis, decision and evidence within a single chain.
Request an invitation
Join the conversation on trust architectures.
- Free to attend for qualified profiles.
- Invitation and profile validation required.
- Limited number of places.
- Response within 48 hours.