Description

A focused course, tailored for you

GRC Advisory That Moves Product Teams

Turn compliance reviews into decisions engineering actually acts on, with documented control evidence that holds up to regulator scrutiny.

You identify the risk. You document the finding. The product team acknowledges it and ships anyway. Six months later the regulator wants to see the control evidence, and the gap you flagged is the exact gap that surfaces.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

GRC professionals inside large technology platforms operate at a structural disadvantage. The risk vocabulary, the assessment cadence, the control documentation format all exist in a different register from how engineering teams prioritise work. The result is a compliance function that is technically correct and operationally ignored. Findings accumulate. Open tickets age. When a regulatory inquiry arrives, the control narrative the organisation needs to tell was never built in a form the business actually maintained.

What you walk away with

Design control evidence packages that regulators accept and product teams can maintain without specialist involvement.
Write risk findings in the format that moves an engineering sprint rather than being noted and deferred.
Map GDPR, CPRA, DPDP, DSA, and AI Act obligations to a unified control inventory that does not require re-work for each new jurisdiction.
Build the board-level risk narrative from operational data, so the quarterly update is a decision document rather than a status report.
Structure AI governance documentation to satisfy both internal product review gates and external regulatory inquiry.
Create an escalation path that surfaces material gaps before the product ships, with a paper trail that demonstrates due process if challenged.

The 12 modules

Module 1. The Compliance-Product Gap

Why risk findings issued in control-framework language do not register as actionable items in engineering cycles. This module maps the structural reasons GRC advice gets deferred: documentation format, timing relative to sprints, absence of a business-impact translation layer. You will identify the two or three points in the product development lifecycle where GRC input has the highest probability of actually changing a decision.

Module 2. Control Evidence Design for Technology Platforms

The difference between a control that is documented and a control that is defensible. This module covers the structure of control evidence packages that satisfy both a regulator reviewing your records and a product team maintaining the operational state. You will design templates for access control, data handling, AI model governance, and third-party integrations that capture ongoing operational evidence rather than point-in-time assertions, and that an engineering team can update without translating back into compliance language first.

Module 3. AI Governance Documentation

Technology platforms face AI governance requirements under the EU AI Act, CPRA automated-decision guidance, and internal product review gates. This module covers the documentation a GRC function needs before an AI-enabled feature ships: risk classification under EU AI Act tiering, data provenance records, fairness testing evidence, human oversight design, and the deployment audit trail. Built for platforms where AI is embedded in products rather than sold as a standalone service.

Module 4. Cross-Regulatory Mapping Without Duplication

GDPR, CPRA, India DPDP, DSA, and the EU AI Act impose overlapping but non-identical obligations on a platform with global reach. This module builds a unified control inventory that maps each jurisdiction's obligations to a single underlying control, with jurisdiction-specific evidence requirements as annotations. The output is a living document a two-person GRC team can maintain and a regulator from any of those jurisdictions can read as a responsive record.

Module 5. Writing Risk Findings That Engineering Acts On

A finding written in compliance vocabulary is technically correct and practically inert. This module covers the translation layer: rewriting specimen findings into the format that lands in an engineering planning meeting. Business impact in product terms, the specific system state that needs to change, acceptance criteria that close the finding, and the residual risk statement if engineering chooses to accept rather than remediate. The goal is a finding format that produces a ticket that ships.

Module 6. Third-Party Risk in Platform Ecosystems

Platforms with developer ecosystems, API integrations, and data-sharing partnerships carry third-party risk at a scale standard questionnaires were not designed to handle. This module covers a tiered assessment approach calibrated to each partner's data access depth, continuous monitoring signals for high-volume partner categories, and the contractual evidence package satisfying GDPR Article 28, CPRA service provider obligations, and DSA intermediary liability requirements across a single review cycle.

Module 7. Privacy Review Integration into Product Development

Privacy and data protection assessments are most useful when they run alongside product design rather than arriving as a late-stage checkpoint. This module redesigns the privacy review as a lightweight gate at four stages: concept approval, architecture sign-off, beta launch, and production release. Each gate carries a specific evidence checklist the product team can complete with GRC guidance, without requiring a full assessment every time. The result is a review cadence engineering teams budget for.

Module 8. Building the Board-Ready Risk Narrative

A quarterly risk report listing amber and red findings is not a decision document. This module covers translating operational risk data into a board-level narrative: what decisions the board needs to make, the cost of inaction in business terms, and what the organisation is asking the board to approve. You will build a report template that surfaces two or three material risks with supporting evidence and a recommended resolution path, readable by a non-compliance board member in ten minutes.

Module 9. Regulatory Inquiry Response Readiness

A regulatory inquiry into data practices or AI governance typically requires a response within 28 to 60 days, covering control evidence, processing records, incident logs, and policy documentation. This module builds the readiness infrastructure: evidence inventory, document retrieval workflow, internal triage process, and external response format. The goal is a state where an inquiry is answered from maintained records rather than a retrospective reconstruction of what controls were operating at the time.

Module 10. Incident Response from a GRC Perspective

When a data incident occurs, GRC owns regulatory notification timing, control failure analysis, corrective action documentation, and in many cases external communications to regulators and affected users. This module covers the GRC role from first discovery through notification through post-incident remediation: the 72-hour GDPR window, CPRA breach notification requirements, and the internal documentation trail demonstrating the organisation identified, contained, and corrected the failure under ongoing regulatory scrutiny.

Module 11. GRC Metrics That Drive Prioritisation

A GRC function reporting on open-finding counts and ticket age is measuring activity, not risk reduction. This module redesigns the metrics set for a technology platform: control coverage rate across the product portfolio, mean time from finding to remediation by severity tier, residual risk exposure after remediation, and forward-looking indicators from the product roadmap and third-party change events. These are the metrics that justify GRC resource decisions to technology leadership and surface material risks before they become incidents.

Module 12. Sustaining GRC Influence in a Fast Product Cycle

Technology platforms ship features at a cadence a traditional compliance review cycle cannot match. This module covers structural changes that keep GRC relevant when product teams move faster than the review process: embedded GRC roles in product squads, risk-as-code where control requirements are codified into the CI/CD pipeline, and the relationship architecture between GRC, legal, engineering, and the board. The output is a 90-day plan for repositioning your GRC function from late-stage gate to early-stage design partner.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 and 5 address the finding-to-action gap that is the central frustration of GRC work inside product-driven organisations.

Modules 2, 3, and 4 cover the control evidence and documentation layer that regulators examine when an inquiry arrives.

Modules 6, 7, and 9 address the operational risk categories specific to large technology platforms: third-party ecosystem, privacy review, and regulatory inquiry readiness.

Modules 8, 11, and 12 cover the influence and communication layer: how a GRC function maintains credibility and drives decisions at the board and product leadership level.

What you get with this course

Twelve written modules covering the full GRC advisory lifecycle for technology platform contexts.
Downloadable templates for every module: control evidence packages, cross-regulatory mapping inventory, risk finding format, board risk narrative, incident response GRC documentation, and the 90-day repositioning plan.
The hand-built implementation playbook, delivered alongside course access, tailored to the GRC practitioner role in a large technology platform environment.
Access within 24 hours of purchase, directly in the Art of Service learning environment.

What you will have in hand by Day 1, Week 1, Month 1

Access to all twelve modules and downloadable templates within 24 hours of purchase.

The hand-built implementation playbook, tailored to your platform GRC context, delivered alongside course access.

Before and after

Before

Risk findings documented, acknowledged by engineering, and deferred. Control evidence assembled retrospectively when regulators ask. Board reports that describe the risk landscape without producing a decision. A GRC function that is technically rigorous and operationally marginal.

After

Risk findings written in a format that produces engineering tickets that close. Control evidence maintained operationally, retrievable within days when a regulator inquires. A board narrative that drives resource decisions. A GRC function that is consulted during product design rather than after the fact.

What happens if you do not address this

The gap between what a GRC function identifies and what the organisation actually remediates is manageable until a regulator asks to see the control evidence. At that point, the paper trail reflects the finding, not the fix. The cost of reconstructing that evidence under time pressure is significantly higher than building it correctly during the normal review cycle.

Who it is for

This course is for GRC and compliance practitioners embedded inside technology platforms who own risk assessments, privacy reviews, AI governance documentation, or cross-functional advisory work. You are not starting from zero. You have frameworks. The problem is translating those frameworks into artefacts that close loops with product, legal, and the board rather than producing a paper trail that nobody reads.

Who this is NOT for. External consultants building a generic GRC practice. Compliance analysts who want a survey of regulatory frameworks without implementation depth. Anyone looking for a course that covers the policy layer without addressing the operational gap between assessment and action.

How it arrives

Text-based course in the Art of Service learning environment, plus downloadable templates and worked examples for every module, plus the hand-built implementation playbook delivered alongside course access.

Time investment. Each module is designed for a single focused reading session of 30 to 45 minutes. The full course can be completed in twelve sessions. Most practitioners work through two to three modules per week alongside their normal responsibilities.

Why $199 is the right number

External GRC consulting engagements for a technology platform context typically run from 50,000 to 200,000 USD for a comparable scope of review methodology, documentation redesign, and regulatory mapping. Professional certification programmes cover frameworks but do not address the implementation gap between assessment and action inside a product-driven organisation. This course covers the methodology and delivers the artefacts at a fraction of the cost, with the implementation playbook tailored to your specific role.

FAQ

Is this course relevant if my platform primarily serves business customers rather than consumers?

Yes. The cross-regulatory mapping, AI governance documentation, and third-party risk modules are relevant regardless of whether your platform serves consumers or enterprises. The privacy review integration module covers both B2C and B2B data processing contexts.

Does the course cover the EU AI Act in depth?

Module 3 covers AI governance documentation with specific reference to EU AI Act risk classification, and the cross-regulatory mapping in Module 4 includes AI Act obligations alongside GDPR, CPRA, and DSA. The course does not cover the AI Act as a standalone framework in isolation from the platform implementation context.

How is the implementation playbook tailored to my role?

The playbook is built by hand for the GRC advisory role in a large technology platform environment, covering the specific artefacts, escalation paths, and review cadences described in the course. It is not a generic GRC maturity framework. Reply with any specific context about your platform or regulatory environment and the playbook will reflect it.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.