Frame
Know what problem is actually being solved.
Define the decision, the stakeholders, the objective, the constraints, the evidence required and what success looks like.
Bad agentic work often starts with a poorly framed task.
More valuable work. Deeper understanding.
Judgement that stays your own.
To develop actuaries who can use agents to do substantially more valuable work without giving up understanding, judgement or professional responsibility.
The goal goes beyond learning to use ChatGPT. We are developing a new professional capability.
An Agentic Actuary can direct powerful AI systems, interrogate their work, make the final judgement and defend the outcome. That is the standard every level is built around.
Someone who earns the accreditation should be able to say:
“I can take a real actuarial problem, use agents to investigate it deeply, verify what matters, make my own professional decision, and explain why that decision deserves reliance.”
That is the credential. Everything else is curriculum.
This manifesto sets the standard we are building towards. Formal accreditation remains in development.
The whole accreditation is built around six capabilities, developed together and demonstrated through real actuarial work.
Know what problem is actually being solved.
Define the decision, the stakeholders, the objective, the constraints, the evidence required and what success looks like.
Bad agentic work often starts with a poorly framed task.
Use agents as capable collaborators, not answer machines.
Decompose work, delegate meaningful tasks, choose appropriate tools, coordinate analyses and iterate intelligently. Keep the project moving towards the objective.
This is much broader than prompt engineering.
Use evidence, not plausibility.
Obtain and interrogate the right data. Test explanations, compare alternatives, run calculations, explore sensitivities and distinguish findings from assumptions.
Agents expand what can be investigated.
Know what must be checked before relying on the work.
What supports this? What does it depend on? What could make it wrong? What should be tested next? Verify important calculations, challenge assumptions and look for missing explanations.
This is where Acta becomes fundamental.
Explore ActaMake the decision yourself.
Synthesise evidence and uncertainty into a proportionate professional recommendation.
The agent can advise. The actuary owns the judgement.
Take responsibility for the conclusion.
Explain, without AI, why you reached the decision: the evidence and assumptions that mattered, the uncertainty, the alternatives you rejected and what would make you change your mind.
If you cannot defend it, you do not yet own the work.
In teaching, this becomes Investigate → Decide → Defend. The six capabilities remain the underlying framework.
Producing more work while understanding less of it does not make someone a better actuary.
The professional remains accountable for the decision.
Good agentic work is grounded in evidence, tests and appropriate challenge.
It is not a final review step added after the agent finishes.
Two candidates can reach the same recommendation while demonstrating very different levels of professional capability.
Good professionals know what they do not know.
The goal goes beyond doing the old work faster: deeper, broader and more decision-useful work.
That is the ultimate test of ownership.
It is a standard for the ability to practise actuarial science effectively in an agentic world.
Three levels of increasingly demanding professional work.
Level I
Can you work effectively with agents on a bounded actuarial problem?
Frame it, investigate it, verify key work, decide and defend.
Level II
Can you handle ambiguous, multi-stage professional work with agents?
Competing explanations, changing evidence, multiple analyses, uncertainty and trade-offs.
Level III
Can you exercise senior professional judgement in an agentic environment?
Multiple agents, conflicting objectives, governance, high-stakes decisions, strategic recommendations and accountability.
The Agentic Actuary Accreditation is being developed to certify that an actuary can use AI to do more powerful work while retaining the judgement, understanding and accountability that make the work professionally reliable.
Begin with Level I