AI value for actuaries starts beyond models
While actuarial modelling and financial analysis remain promising areas for AI adoption, organizations may realize value sooner by focusing on knowledge management, investigation, and review activities.
Key takeaways
- Knowledge management, investigation, and review activities may offer the fastest and most practical path to realizing AI value.
- These activities are easier to implement and capable of delivering measurable productivity and quality improvements.
- Deloitte can help by assessing and prioritizing practical AI opportunities.
Although AI discussions in actuarial functions often begin with core models, operational use cases can provide a more practical, lower-risk, and higher-impact starting point for adoption. Documentation, assumption governance, investigations, and stakeholder reporting consume significant actuarial capacity, and AI can turn that recurring work into a source of efficiency, consistency, and institutional learning.
Start now
Operational use cases are often easier to implement and capable of delivering measurable productivity and quality improvements. As precursor activities, they also build trust, governance capabilities, and organizational readiness for broader AI adoption.
Knowledge management
Many critical decisions are buried in emails, experience study reports, model documentation, committee papers, spreadsheets, working papers, and the memories of senior actuaries. AI can help make that knowledge accessible and reusable.
Investigation enablement
AI doesn't replace actuarial judgment—it helps gather institutional knowledge faster. This is particularly important during the investigation of financial trends and impacts, where teams often need to understand prior decisions, assumptions, and supporting evidence quickly.
Review support
Review work is becoming more demanding as actuaries manage more documentation, evidence and stakeholder questions. Increasing model governance and documentation expectations mean actuarial teams need confidence that each response is complete, accurate, and supported.
How Deloitte can help
With regulatory expectations evolving and AI opportunities expanding, it can be difficult to know where to focus first. Our actuarial and AI specialists can help you assess and prioritize practical opportunities. We can:
- Identify activities with significant manual effort, documentation burden, investigation work, review cycles, and knowledge dependencies.
- Quantify potential benefits across productivity, quality, control effectiveness, onboarding efficiency, and key-person risk.
- Prioritize use cases based on value, feasibility, implementation effort, and governance considerations.
With the right opportunities identified, we can help you:
- Apply GenAI tools to support experience studies, model validation, investigation workflows, assumption reviews, stakeholder reporting, and documentation generation.
- Accelerate research, evidence gathering, and analysis while maintaining actuarial oversight and judgment.
- Automate the preparation of technical documentation, review summaries, management commentary, and regulatory support materials.
Schedule a live AI workshop for actuarial teams
If your team has started experimenting with AI and wants to understand what's possible, we offer a live session to help you explore the opportunities.
Connect with our leaders to learn more.
There is no registration fee, and the session is suitable for all actuarial practitioners.
The 60–90-minute session includes:
- The role of agents in agentic AI. A plain-language framing of how agents differ from chatbots and copilots — and why that matters for actuarial work.
- Live demos. Real actuarial workflows run step by step. You'll see agents doing the work, with actuaries in control.
- AI “skills” for actuaries. Building and customizing your own skills marketplace for actuaries. Examples of skills in action.
- Discussion. Time to ask questions, explore applicability, and talk about how to move from experimenting to use cases.
