Who We Are
Built by a practising broker who is also an admitted lawyer.
Peter Beard is the sole founder of Agentic AI Insurance Services — combining decades of broking practice with legal training and a certificate in agentic AI from Johns Hopkins University.
Credentials
- Admitted Solicitor of the Supreme Court of New South Wales.
- Fellow of ANZIIF (CIP) — the Australian and New Zealand Institute of Insurance and Finance.
- Fellow of NIBA (QPIB) — the National Insurance Brokers Association.
- Member of the NIBA Risk Advisory Committee (RAC).
- Member of the Australian Insurance Law Association (AILA).
- Certificate program in Agentic AI — Johns Hopkins University, Whiting School of Engineering.
The Founding Story
AAIS started where most useful tools start — with a problem the founder was solving for himself.
November 2025
The first experiment
Peter began experimenting with frontier AI on a single repeat task: comparing commercial insurance policy wordings. A three-hour comparison fell to twenty minutes, with more consistent and thoroughly cited analysis.
January 2026
Johns Hopkins — Agentic AI
Peter enrolled in the Agentic AI certificate program at Johns Hopkins University's Whiting School of Engineering — introducing multi-agent pipelines, retrieval-augmented generation, structured grounding, blackboard architectures, and the Anthropic Constitutional AI standard.
April 2026
Five-product platform
AAIS had grown into a five-product platform serving Australian insurance brokers, with documented Multi-Agent Design Standards, an AI Governance Overview, and an Australian-resident infrastructure footprint.
Why ‘Broker Plus Lawyer’ Matters
Every system is designed inside the regulatory frame from day one.
Most AI products in insurance are built by software companies and reviewed by lawyers afterwards. AAIS is built by a lawyer who is also a broker. The Insurance Contracts Act, the General Insurance Code of Practice, AFCA approach documents, and ASIC RG 271 are not bolted on at audit time — they are part of the design.
This is the foundation of the AAIS ‘broker-in-the-loop’ model: the AI does the searching, structuring and drafting; the broker reviews, exercises judgment, and remains the licensed adviser to the client. The output is always the broker's — improved, accelerated, and demonstrably documented.