Jehanne Dussert speaking
AI Governance Lead · AXA Group Operations · Paris

AI Governance
by Design

Jehanne Dussert

Building AXA's Group-level technical AI governance framework across 15+ countries and hundreds of entities — making governance computational and enforceable as code, with a focus on agentic AI. At the intersection of software engineering, observability, and institutional governance.

{ }École 42Software engineering
×
§IT LawCyberjustice · Master's
15+countries covered
50+use cases evaluated
3EU mandates
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Approach

Before deployment: intuition, risk modelling, regulatory mapping. After: production metrics, drift detection, real user behaviour. Governance is never finished — it's a feedback loop, not a deliverable.

Treating governance as a dynamic tool means the framework evolves with the system it governs: acceptance thresholds adjust, supervision levels shift, authorised use cases get refined as the production reality becomes clearer.

Concrete example — governance-driven routing

A summarisation task configured with confidentiality and traceability criteria automatically routes to a different model than the same task with relaxed constraints. The governance profile is the routing logic — no manual override, no separate config.

Implemented in the side project: use case × criteria matrix stored in Redis, resolved at inference time.

Before go-liveIntuition · risk modelGovernance profilecriteria · thresholdssupervision levelRouteruse case ×criteria matrixqwen2.5:1.5blow risk · fastdeepseek-r1traceability · auditgemma3:1bprivacy · local onlyAfter go-livemetrics refine criteriagovernance profile = routing logic
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Positioning

Deployment

LLM in production

API integration, open-source model benchmarking, prompt engineering, A/B testing — all translated into architecture decisions.

  • TTFT & latency thresholds
  • Acceptance criteria with data scientists
Observability

Monitoring → Governance

Grafana / Prometheus / Loki stack. Production metrics don't stop at the dashboard — they feed compliance posture and evolve the governance.

  • Uptime, errors, user signals
  • Metrics as governance inputs
Governance

Frameworks that hold

National governance, risk taxonomies, supervision models — built with 40+ cross-functional contributors and grounded in production reality.

  • AI Act, ANSSI PA-102, GDPR
  • 3-level supervision model
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Experience

2026 – PresentAXA Group Operations

AI Governance Lead

  • Building the Group's technical AI governance framework, with a focus on agentic AI — turning governance rules into computational, enforceable controls (policy-as-code) across MLOps, LLMOps and AgentOps.
  • Applying a risk-based approach to the highest-stakes use cases, with Risk and Compliance — covering evaluation, bias and trustworthiness across the full AI lifecycle.
  • Supporting and controlling entities throughout implementation, then monitoring production to make the framework evolve.
  • Product Owner of the Group AI governance tool: vision, backlog, multi-entity rollout.
ImpactDesigning the Group's computational AI governance infrastructure across 15+ countries — turning policy into enforceable code across agentic AI deployments.
2024 – 2026French Tax Administration (DGFiP)

Tech Lead – Generative AI & AI Governance Coordinator

  • Authored national AI governance deployed across 11 directorates, covering 50+ evaluated use cases — 3-level supervision model, risk taxonomy, tool and data tiers.
  • Coordinated 40+ cross-functional contributors (legal, security, compliance, engineering) to produce governance frameworks that hold in production.
  • Deployed internal GenAI assistants serving 95,000+ civil servants; integrated open-source models and designed prompt systems for operational workflows.
  • Built monitoring and alerting stack (Grafana/Prometheus): uptime, latency, TTFT, errors, user signals.
  • Benchmarked models, set acceptance thresholds with data scientists, ran A/B tests and tuning cycles.
  • Represent France in EU Fiscalis working group on GenAI integration.
ImpactStandardised safe GenAI rollout across 11 divisions, directly influencing executive deployment decisions.
2025 – PresentEuropean Commission

EU Horizon — Expert Evaluator

  • Assessed AI research proposals submitted to the European Commission's Horizon Europe programme.
  • Evaluation criteria: technical feasibility, risk assessment, societal impact, and regulatory alignment.
  • Selected from a pool of independent experts for proposals in the field of trustworthy AI.
ImpactContributing to the quality and safety standards of publicly funded AI research across Europe.
2024Council of Europe

AI Advisory Board — Appointed Member (1 of 5)

  • One of five experts appointed to the CEPEJ AI Advisory Board on AI in justice systems.
  • Co-authored the 1st AIAB Report on the Use of Artificial Intelligence in the Judiciary.
  • Addressed transparency, accountability, and human oversight requirements for AI tools used in courts across member states.
ImpactShaped Council of Europe guidance on AI governance in judicial contexts.
2023 – 2024Interministerial Digital Directorate (DINUM)

Generative AI Product Engineer

  • Led frontend implementation of AI-assisted workflows.
  • Proposed product features based on multi-ministry feedback.
  • Presented tool capabilities and limitations in interministerial settings.
ImpactImproved adoption readiness of the French government's shared GenAI platform (Albert), deployed across ministries.
2022 – 2023Interministerial Digital Directorate (DINUM) & Ministry of Interior

Government Innovation Fellow — Unreal Engine C++ Developer

  • Developed synthetic data generator in high-security institutional context.
  • Led cross-functional team (2 developers, 1 designer).
  • Designed governance framework for synthetic data generation: use cases, co-decision methodology, and data extraction protocol for the Paris digital twin (3D semantic segmentation).
ImpactDelivered a data generation tool for public administration needs.
View on GitHub →
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govllm

Open source researchRegulated sectors

LLM Governance Monitoring Platform

How do you justify a model choice six months after go-live? govllm is my attempt to answer that — a self-hosted governance monitoring stack built for regulated environments, aligned to EU AI Act, GDPR, and ANSSI.

  • Governance-driven model routing — each use case resolves to a model via its configured profile
  • Local SLMs via Ollama — data sovereignty by design
View on GitHub Research paper — arXiv:2605.24737

Stack

FastAPIRedis pub/subLiteLLMLangfusePrometheusGrafanaOllamaVue 3TypeScriptDocker Compose
governance profile
model × use case matrixAI Act
live
General
0.72
Translation
0.41
Code
0.88
transparencytraceabilityhuman oversightrisk documentationaccuracy

→ AI Act Art. 9 — ongoing risk management required

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Skills

AI Governance

  • Governance authoring
  • Risk taxonomy
  • AI Act
  • ANSSI PA-102
  • GDPR
  • Cross-functional coordination

LLM Deployment

  • LLM API integration
  • Model benchmarking
  • Prompt engineering
  • A/B testing
  • TTFT / latency

Observability

  • Grafana
  • Prometheus
  • Loki
  • Alerting
  • Metrics → governance

Engineering

  • Python
  • FastAPI
  • PostgreSQL
  • Vue.js
  • TypeScript
  • Docker
  • Redis
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Contributions

2024Council of Europe

1st AIAB Report on the Use of AI in the Judiciary

AI Advisory Board · Appointed member (1 of 5) · CEPEJ

2024Vuibert

Co-author — Public Sector & Digital Transformation

200 fact sheets, diagrams and videos to develop digital literacy in the public sector

2024Flaash · N°04

Fiction — AI & the Judiciary

Cultural & technical foresight journal · Autumn 2024

2019Cyberjustice Laboratory

Inventory of Best Practices — Algorithmic Systems in Public Services

University of Montreal · Master's in Cyberjustice

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Writing

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Contact

Let's work
together

Open to conversations at the intersection of AI governance and engineering — talks, advisory mandates, research collaborations, and open-source.

Open to

Talks & conference appearancesAdvisory mandates & expert rolesResearch & open-source collaborationGovernance consulting

Connect on LinkedIn

linkedin.com/in/jehanne-dussert

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See the code

github.com/jehannedussert

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Send an email

research.jehannedussert@gmail.com

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