Build real
Data · AI · Actuarial capability that sticks.
ARGenesis Academy blends actuarial thinking, data science and applied AI into practical, project‑based learning. Designed for insurers, MGAs, consultancies, universities and cross‑industry teams who want more than slide‑ware.
Insurance‑first, cross‑industry ready
From graduates & analysts to senior leaders
Academy pathways snapshot
Insurance Data & AI
Pricing, reserving, capital, GenAI & governance.
Core
Cross‑industry AI & GenAI
Applied AI, agentic patterns & product thinking.
Advanced
Leadership & governance
Strategy, risk, ethics & operating models.
Exec
Programmes can be delivered in‑house for a single organisation, or as open cohorts for individuals and smaller teams.
Academy formats
Flexible programmes shaped around your people.
Choose from immersive programmes, targeted workshops or capability sprints all built around real projects, not hypothetical case studies.
Immersive programmes
6–12 week or multi‑month academies blending teaching, labs and mentored project work on your data, products and portfolios.
• Ideal for graduate & early‑career cohorts
• Can align with internal competency frameworks
• Certificates & CPD documentation available
Focused workshops
2–3 hour or 1‑day sessions on specific topics: GenAI, agentic AI, pricing, reserving, IFRS 17, governance, AI ethics and more.
• Great for leadership teams & committees
• Works well alongside strategy offsites
• Can be run on‑site or remotely
Capability sprints
3–6 week sprints combining training with a tightly scoped proof‑of‑value on a real use case, supported by ARGenesis experts.
• Ideal when you want learning + delivery
• Clear success criteria and outputs
• Bridges into production projects
Core tracks
Curriculum built from real‑world projects, not theory alone.
Each track can be adapted to your audience: technical deep‑dives for analysts and practitioners, or higher‑level sessions for leaders and boards.
Insurance data & actuarial AI
• Reserving, pricing & capital analytics
• From triangles & GLMs to GenAI & agents
• Model risk, validation & documentation
• Using tools like GenieAPP in practice
Applied AI & GenAI
• Classic AI, ML, deep learning & GenAI stack
• RAG, copilots and agentic patterns
• Prompting, evaluation & safety by design
• Cross‑industry case studies
Data & AI foundations
• Data engineering & AI ecosystems
• Feature engineering & metrics
• Good practice in analytics delivery
• Working effectively with technical teams
Leadership, ethics & governance
• AI strategy & operating models
• Risk, ethics & regulatory expectations
• Boards, committees & oversight
• Communicating AI decisions with confidence
Who we work with
From specialist teams to cross‑functional cohorts.
We can run programmes for a single function, a multi‑disciplinary squad or a mixed cohort from across your organisation or partners.
Insurers, reinsurers & MGAs
• Actuarial & pricing teams
• Underwriting & claims
• Enterprise risk & capital
Consultancies & advisors
• Actuarial & analytics practices
• Strategy & transformation teams
• Innovation & GenAI cells
Universities & education
• Actuarial & data science programmes
• Industry‑linked projects & labs
• Guest teaching & co‑designed modules
Cross‑industry teams
• Health, retail & public sector analytics
• Technology, product & ops leaders
• Boards, committees & regulators
Next step
Design an Academy pathway that fits your context.
Share your goals whether it’s upskilling a cohort of analysts, equipping leadership with GenAI literacy, or building a structured graduate journey and we’ll propose 1–2 Academy options with clear outcomes, structure and effort.
Project‑based, outcome‑driven learning
Ready when you are
Tell us about your people and we’ll shape a Training / Academy proposal.
We can start with a single workshop, a pilot cohort, or a full Academy roadmap — whatever best matches where you are today.