Privacy / Managed PbD

Privacy by Design as a Service.

A recurring privacy-engineering service that keeps architecture, product and operational controls aligned as systems evolve.

Business context

What this capability solves

Continuous Privacy by Design support across BAU, SDLC, system changes and AI deployments.

EBP Integra delivery principle

Advice, controls, technology, governance, evidence and operating procedures are designed together so the capability can be sustained after implementation.

Deep-dive capabilities

Capability model

The service can be scoped as a focused engagement or combined into a broader enterprise programme.

Design Review Cadence

Recurring review of new features, data flows, integrations and significant changes.

SDLC Privacy Gates

Embed privacy acceptance criteria into concept, design, build, test and release gates.

AI Deployment Review

Apply minimization, purpose, retention, human oversight and rights controls to AI use cases.

Control Pattern Library

Maintain reusable privacy patterns for consent, access, logging, deletion and minimization.

Exception Management

Record deviations, risk acceptance, compensating controls and remediation commitments.

Assurance Reporting

Provide recurring evidence of reviews, open gaps, remediation and privacy-control maturity.

Reference operating model

How the capability fits together

Final scope, control ownership and delivery model are confirmed during discovery.

Governance & Scope

Objectives, applicability, decision rights, owners, policies, risk appetite and acceptance criteria.

Assessment & Design

Evidence collection, gap/risk analysis, target controls, architecture, procedures and prioritized roadmap.

Implementation

Controls, documentation, workflows, integrations, configuration, training and remediation.

Assurance & Operations

Testing, evidence, management reporting, escalation, review cadence and continuous improvement.

Controls & governance

Clear scope, legal/processing context and accountable owner
Evidence register and documented advice/decisions
Role-based access and confidentiality
Escalation for high-risk or disputed matters
Defined review and approval process
Records retention and traceability

Priority use cases

Continuous product releases
Digital/AI transformation
Multiple development squads
BAU system changes
Privacy engineering backlog
Need for recurring assurance

Key deliverables

PbD review calendar
Control patterns
Release-gate checklist
Exception register
Remediation backlog
Periodic assurance report

Integration considerations

ROPA / processing inventory
DPIA/LIA/TIA workflows
DSR and incident processes
Product/SDLC governance
Vendor and contract review
GRC/evidence repository

Implementation

Phased delivery

Each phase produces decision-ready evidence and clear ownership for the next stage.

1. DiscoverConfirm scope, stakeholders, obligations, evidence, dependencies and risk drivers.

2. Assess & DesignAnalyze current state, define target controls and agree the implementation roadmap.

3. ImplementDeploy controls, documents, workflows, training and required technology/integration.

4. Assure & OperateValidate effectiveness, close residual gaps, hand over and establish recurring governance.

Outcome and KPI framework

Review coverageRelease gate pass rateOpen privacy exceptionsRemediation agingRepeat finding reduction