Course and programme enquiriesforensics@siftcon.africa

Executive AI oversight · Boards and leadership

Govern AI throughdecisions, evidence and accountability.

Give leaders a clear way to review AI opportunity, risk limits, investment, oversight and evidence across all AI projects.

DurationHalf day
LevelExecutive
FormatBoard briefing
Learning units9

Learning outcomes

Skills you can use and explain.

Every result combines practical use, human review and evidence that another person can check.

  1. 01

    Distinguish AI opportunity from unsupported technology claims.

  2. 02

    Define risk appetite, prohibited uses and escalation thresholds.

  3. 03

    Ask management for decision-useful portfolio and control evidence.

  4. 04

    Clarify board, executive, product and control-function accountability.

  5. 05

    Oversee material incidents, vendor dependence and workforce impact.

  6. 06

    Create a 90-day AI governance agenda for leadership action.

Course pathway

Direct. Challenge. Oversee.

Three executive modules turn AI complexity into clear decisions about projects, responsibility and oversight.

Module 01Opportunity, portfolio and appetite
  • Govern a portfolio, not isolated demos
  • Executive portfolio triage
  • Investment decision
Module 02Accountability and board challenge
  • Oversight needs information and authority
  • Board challenge table
  • Human-oversight challenge
Module 03Incidents, resilience and 90-day action
  • Prepare before AI failure becomes a crisis
  • 90-day governance agenda capstone
  • Incident escalation decision
SIFTCON Academy practical learning environment.

Final executive action plan

Set the next 90 days of AI oversight.

Leaders define which AI projects must be visible, who is responsible, what evidence is needed, risk limits and which decisions return to the board.

DirectionEvidenceDecisionReview

Designed for

People who need to make better technical decisions.

Best suited to

  • Boards, audit and risk committees
  • Executive committees and senior leadership
  • Chief risk, audit, technology, data and security leaders
  • Public-sector accounting authorities and oversight bodies

Preparation

  • Current AI strategy or portfolio summary where available
  • Existing risk appetite and technology-governance materials
  • One proposed material AI investment or use case
  • No technical model-development knowledge required
01

Portfolio lens

Separate experiments from material exposure.

02

Board challenge

Test value, evidence and accountability.

03

90-day agenda

Set owners, decisions and reporting cadence.

04

Incident table-top

Practise escalation under uncertainty.

Group and in-house training

Adapt this course to your learners, organisation and decisions.

Plan a cohort
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