Governance, Risk & Compliance
RegTech and Automated Regulatory Compliance
Build operational capability in RegTech and Automated Regulatory Compliance through regulatory process mapping, hands-on analysis of RegTech architecture and vendors, and a defensible compliance automation design.
Overview
Practical learning for workplace transfer.
Poorly framed RegTech and Automated Regulatory Compliance initiatives create hidden dependencies and weak evidence. This course uses RegTech architecture and vendors as an applied decision problem, then connects governance, measurement, and the compliance automation design to day-to-day work.
Prerequisites
Relevant experience with RegTech and Automated Regulatory Compliance is useful; technical depth is adapted to the cohort.
Objectives
- Frame regulatory process mapping for a defensible business decision.
- Diagnose rules data and control automation against technical and operational evidence.
- Select and justify an approach to RegTech architecture and vendors under realistic constraints.
- Establish ownership, controls, and measures for validation governance and evidence.
- Deliver the compliance automation design output and defend it in a stakeholder review.
Target audience
- Governance, risk, compliance, legal-liaison, and assurance leaders
- Policy owners, internal auditors, and control specialists
- Technology, sustainability, procurement, and data program owners
- Executives accountable for oversight and evidence responsible for RegTech and Automated Regulatory Compliance
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: regulatory process mapping
Diagnose how regulatory process mapping currently performs across process, data, technology, and people.
Compare feasible patterns for regulatory process mapping by value, risk, scale, and reversibility.
Convert the preferred pattern into an accountable workplace artifact.
Module 2: rules data and control automation
Diagnose how rules data and control automation currently performs across process, data, technology, and people.
Compare feasible patterns for rules data and control automation by value, risk, scale, and reversibility.
Convert the preferred pattern into an accountable workplace artifact.
Module 3: RegTech architecture and vendors
Diagnose how RegTech architecture and vendors currently performs across process, data, technology, and people.
Compare feasible patterns for RegTech architecture and vendors by value, risk, scale, and reversibility.
Convert the preferred pattern into an accountable workplace artifact.
Module 4: validation governance and evidence
Diagnose how validation governance and evidence currently performs across process, data, technology, and people.
Compare feasible patterns for validation governance and evidence by value, risk, scale, and reversibility.
Convert the preferred pattern into an accountable workplace artifact.
Module 5: compliance automation design
Diagnose how compliance automation design currently performs across process, data, technology, and people.
Compare feasible patterns for compliance automation design by value, risk, scale, and reversibility.
Convert the preferred pattern into an accountable workplace artifact.
Materials provided
- Course workbook and specialist reference guide
- Applied case pack and decision worksheets
- Implementation checklist and action-plan canvas
- 4D Certificate of Completion
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
For RegTech and Automated Regulatory Compliance, 4D combines evidence review, guided decisions, and transfer into operating practice.
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