Modernizing Regulatory Policy and Compliance Through AI, Automation, and Responsible Governance

How we got there

The Challenge

This large regulatory organization was challenged with policy and compliance functions that were highly resource-intensive, complex, and increasingly difficult to scale using existing ways of working. Key processes, including rules development, inquiries, and dealer member examinations, required significant manual effort and presented opportunities to improve consistency, efficiency, and proactiveness through automation and AI.

To move forward, the organization needed a clear understanding of its current-state processes, the gaps between existing practices and strategic objectives, and the areas where automation and AI could create the greatest value. These capabilities also needed to be implemented responsibly, with appropriate governance, accountabilities, approval processes, policies, and controls to manage automation and AI across the enterprise.

The Solution

Optimus supported the organization through a multi-phase transformation journey, moving from strategy and roadmap development to implementation, governance design, and AI enablement.

Current-State Assessment and Transformation Roadmap

Optimus began by documenting the current-state processes in detail across key policy and compliance functions. This included examining how work was performed, where resource-intensive activities existed, and where processes could be modernized through automation, AI, and improved ways of working.

The current state was then assessed against the organization’s strategic requirements and leading modern practices. This work identified issues, gaps, and opportunities to improve efficiency, increase proactiveness, and reduce manual effort across priority functions.

Based on the assessment, Optimus developed recommendations and a transformation roadmap to guide the introduction of AI-enabled teams, more proactive regulatory capabilities, and member-facing self-service opportunities.

Enterprise Automation and AI Centre of Excellence

Building on this foundational work,  Optimus designed and implemented an enterprise-wide Centre of Excellence (COE) to effectively govern, manage, and scale the organization’s automation and AI program.

This included defining the Centre of Excellence’s mandate, clarifying its role within the broader organization, and establishing the foundational structures required to support responsible adoption. Key policies and standards were developed, including an AI Governance Policy, Responsible AI Use Policy, and supporting templates, controls, and processes.

Optimus also developed and rolled out core governance processes, including business casing and benefits tracking, use case intake, risk assessments, and monitoring. These processes created a consistent approach for evaluating, prioritizing, approving, implementing, and sustaining automation and AI opportunities.

Cross-Functional Governance and Accountability

A critical part of the engagement involved working closely with internal groups, including Risk, Enterprise Project Management, IT, Legal, and various project approval committees. This collaboration helped ensure clarity of accountabilities and responsibilities across all parties involved in the end-to-end governance and management of automation and AI.

By aligning stakeholders across the organization, Optimus effectively established a practical operating model that connected strategic priorities, technology delivery, risk oversight, data considerations, project governance, and business ownership.

Workflow Implementation and AI Enablement

Optimus also supported the implementation of Microsoft Power Platform workflow solutions and Microsoft 365 Copilot agents. These tools helped translate the broader automation and AI strategy into practical capabilities that could support day-to-day work, streamline priority processes, and enable new ways of working.

To support long-term use and sustainability, Optimus developed a knowledge repository to help internal teams use, maintain, and build on the automation and AI solutions delivered through the engagement.

The Results

Optimus helped the organization turn its AI and automation strategy into enterprise-wide capability. The engagement established the governance, processes, and tools needed to modernize regulatory operations responsibly and at scale.

The transformation roadmap identified opportunities to reduce manual effort and improve efficiency across policy and compliance functions. It also provided a practical path toward AI-enabled teams, more proactive regulatory capabilities, and member-facing self-service opportunities.

The new Centre of Excellence created a formal structure for managing and scaling automation and AI. Its mandate, policies, standards, oversight model, and operating processes introduced a consistent approach to assessing, approving, implementing, and sustaining automation and AI use cases.

Collaboration across Risk, Enterprise Project Management, IT, Legal, and project approval committees clarified ownership throughout the AI governance lifecycle, from intake and business casing to benefits tracking and ongoing oversight.

Microsoft Power Platform workflows and Microsoft 365 Copilot agents moved the organization from planning to implementation, streamlining priority processes and enabling new ways of working. Together with the responsible AI frameworks and knowledge repository, these capabilities provide a sustainable foundation for future modernization, accountability, and confident risk management.