Trigarc

Platform solution pack

AI & Data Governance Pack

Govern AI, data, privacy and digital trust across the enterprise.

Organisations are adopting AI tools, analytics platforms and digital customer systems faster than their governance processes can keep up. Trigarc helps teams maintain visibility over AI use, personal data processing, third-party data risks, privacy obligations, incidents and board-level digital trust.

Positioning

Govern AI, data, privacy and digital trust with the same discipline used for audit, risk and compliance.

Why this matters now

  • AI tools, copilots and analytics models are becoming part of daily work across business and support functions.
  • Sensitive customer and employee data is moving through more systems, vendors and cloud platforms.
  • Regulators, boards and customers expect proof of responsible data handling—not policy statements alone.
  • Compliance checklists are not enough; institutions need evidence-backed ownership, reviews and remediation.

What the pack helps you manage

Eight connected capabilities that bring AI, privacy and digital trust into the same operating model as audit, risk and compliance.

AI Governance Register

Inventory AI tools, models, copilots, chatbots, analytics models, automation workflows and AI-assisted processes—with owner, purpose, data used, risk rating, approval status, review date and control owner.

Data Processing & Privacy Inventory

Track personal data collected, purpose of processing, lawful basis, retention period, system owner and third-party processors to support privacy-by-design and data minimisation.

DPIA & AI Risk Assessment Workflow

Run Data Protection Impact Assessments and AI risk reviews with approval stages, evidence attachments, residual risk, mitigation actions and scheduled review cycles.

AI Use Policy Compliance

Track whether teams use approved AI tools. Record exceptions, policy breaches, prohibited data usage and remediation actions with clear ownership.

Third-Party AI & Vendor Risk

Assess vendors providing AI, cloud, analytics, SaaS, support bots or data processing—covering data sharing, confidentiality, security, explainability, audit rights and regulatory exposure.

Data Breach & AI Incident Management

Link privacy incidents, AI misuse, data leakage, model failure, incorrect AI output, cyber events and customer complaints to root-cause analysis and corrective action tracking.

Board & Management Reporting

Dashboard views for AI/data risk exposure, high-risk processing, overdue DPIAs, unresolved privacy incidents, third-party AI risks, policy exceptions and control failures.

Evidence & Audit Trail

Every assessment, approval, exception, incident and remediation action carries owners, timestamps, status, evidence attachments and a defensible audit trail.

Built for regulated teams

The pack connects Risk, Compliance, Internal Audit, Legal, IT, Data Protection Officers, Security and business owners—so AI and data decisions stay accountable across the institution.

  • Chief Risk Officers and GRC Managers
  • Data Protection Officers and privacy leads
  • Chief Information Security Officers
  • Internal Audit and Controls Assurance
  • Legal and compliance counsel
  • IT, data and digital product owners
  • Vendor and third-party risk teams
  • Board risk and audit committees

Example workflows

Practical operating sequences institutions run when AI tools, data platforms and privacy obligations collide with day-to-day delivery.

Approve a new AI tool before use

  1. Register the tool, owner, business purpose and data categories.

  2. Complete risk rating and required controls before go-live.

  3. Route for approval, attach evidence, and set the next review date.

Review a customer analytics model

  1. Map processing purpose, lawful basis and retention rules.

  2. Assess model risk, explainability needs and customer impact.

  3. Record residual risk, mitigations and committee reporting status.

Conduct a DPIA for a new digital platform

  1. Capture processing activities, processors and data flows.

  2. Run DPIA workflow with staged approvals and evidence packs.

  3. Track mitigation actions through closure with audit trail.

Investigate a data leakage incident

  1. Log the incident, affected systems and initial severity.

  2. Link root cause, AI or vendor involvement, and regulatory notice needs.

  3. Assign corrective actions and monitor closure for board reporting.

Track remediation after an AI policy breach

  1. Record the exception or prohibited use with evidence.

  2. Assign remediation owners, deadlines and control updates.

  3. Confirm closure and update the AI use register.

Report high-risk AI and data exposures to the board

  1. Aggregate overdue DPIAs, high-risk tools and open incidents.

  2. Highlight third-party AI risks and unresolved policy exceptions.

  3. Produce board-ready summaries with owners and next actions.

Sample AI & data inventory

Illustrative register entries—owners, data categories, risk ratings, approvals and review dates in one place.

Tool / modelOwnerDataRiskStatusReview due

Customer support copilot

Retail Banking

Head of Digital ChannelsCustomer PII, account queriesHighIn review2026-08-15

Credit scoring analytics model

Credit Risk

Chief Risk OfficerCredit history, demographic dataCriticalApproved2026-09-30

Third-party KYC document OCR

Financial Crime

Compliance ManagerIdentity documents, biometrics metadataHighApproved2026-07-31

Internal policy drafting assistant

Legal & Governance

Company SecretaryInternal policies (non-customer)MediumException2026-08-01

Sample data for illustration. Trigarc does not replace legal advice or guarantee regulatory compliance.

Measurable outcomes

  • Single inventory of AI tools and personal data processing activities.
  • DPIA and AI risk reviews with owners, evidence and review cycles.
  • Faster escalation of policy exceptions and privacy incidents.
  • Board-ready visibility of digital trust, AI risk and third-party exposure.

Bring AI and data governance into your GRC workflow.

See how Trigarc helps banks, insurers, SACCOs, fintechs, hospitals, education institutions and public-sector entities maintain evidence-backed digital trust.