Callum A Fay

Title: Callum A Fay: Innovator in Regulatory Technology

Introduction

Callum A Fay is a notable inventor based in Glasgow, GB. He has made significant contributions to the field of regulatory technology, holding 2 patents that showcase his innovative approach to compliance-related challenges.

Latest Patents

One of his latest patents is an "Automated regulatory reporting system using large language models." This computer-implemented system and method respond to regulatory queries using a modular orchestration framework that leverages large language models (LLMs). A backend computer system receives a regulatory query from a user and identifies subtasks such as regulation interpretation, task matching, and code explanation. For each subtask, the system retrieves a pre-authored natural language prompt from a prompt library and invokes an LLM hosted remotely to generate an intermediate output. The orchestration engine processes the intermediate outputs to produce a structured, machine-readable response, which is returned to the user device. Subtasks may be executed via specialized agents or services, and the structured response may include regulatory summaries, task metadata, and source code explanations. This architecture enables scalable, context-sensitive use of general-purpose LLMs for compliance-related reasoning, while improving traceability, consistency, and output structure through prompt curation and task orchestration.

Another significant patent is the "Dynamic agent runtime engine for configurable multi-agent pipelines." This dynamic agent runtime engine (DARE) instantiates, orchestrates, and governs multiple types of software, LLM-based agents in an enterprise computing environment. Agents are declaratively defined by human-readable configuration files that specify parameters such as role, inputs, outputs, orchestration directives, governance requirements, and enterprise-specific content. Based on these files, the DARE instantiates runtime agent processes and couples them to enterprise systems of record. Two categories of agents are supported: dynamic agents, instantiated ephemerally in volatile memory to perform non-state-changing operations under pooled governance, and apply agents, instantiated persistently to perform state-changing operations under individual lifecycle governance. Human-in-the-loop directives, customizable content fields, and declarative non-functional requirements may also be enforced. This architecture reduces redeployment overhead, improves scalability, ensures security and compliance, and provides predictable, auditable execution across heterogeneous enterprise pipelines.

Career Highlights

Callum A Fay is currently employed at Morgan Stanley Services Group Inc., where he continues to innovate in the field of regulatory technology. His work