Training — AI for Business

AI for Business Programme

A role-based programme in applied AI literacy — from executive awareness to hands-on practitioner skills — grounded in MIT Sloan Executive Education's certification on the strategic implications of AI for business.

Programme at a Glance

AI for Business Programme — At a Glance

Target Audience

Executives, managers, and functional teams across the organisation who need AI literacy and applied capability matched to their role, from board-level awareness to hands-on practitioner use.

Entry Requirements

No formal prerequisite; participants are directed to the track matched to their role and starting point. [CONTENT REQUIRED: confirm any minimum prerequisite]

Business Need Addressed

AI adoption is now a strategic priority for most organisations, but capability gaps — from executive literacy to responsible-use awareness to practical application — slow adoption and increase risk.

Delivery Format

[CONTENT REQUIRED: confirm delivery format]

Duration

[CONTENT REQUIRED: confirm programme duration]

Cohort Size

[CONTENT REQUIRED: confirm cohort size]

Learning Pathway(s)

All three pathways apply, by track: Targeted Upskilling for role-based tracks, Certification-Aligned Learning informed by MIT Sloan Executive Education content for the practitioner and manager tracks, and Hands-On Guidance through workshops and use-case exercises. [VALIDATION REQUIRED: confirm any certification/accreditation partnership before publishing]

Facilitator Credential

MIT Sloan Executive Education certification on the strategic implications of artificial intelligence for business, combined with Mining Industry Management Program training (University of Toronto) for sector-specific AI applications. [CONTENT REQUIRED: confirm additional facilitators/guest experts, if any]

Learning Tracks

Four Role-Based Learning Tracks

Awareness Track

For all employees. Builds baseline AI literacy and responsible-AI awareness — what AI is, where it's already in use, and how to use it responsibly.

Practitioner Track

For individual contributors applying AI directly. Covers prompt and workflow design, data-informed decision-making, and hands-on use-case development.

Manager Track

For team and functional leaders. Covers opportunity identification, human oversight of AI-assisted work, and leading adoption within a team.

Executive Track

For senior leadership and boards. Covers the strategic implications of AI adoption, governance responsibilities, and leading organisation-wide adoption.

Learning Objectives & Competency Outcomes

What Participants Learn and Leave With

Learning Objectives

Build executive-level AI literacy appropriate to strategic decision-making.
Understand responsible-AI principles and human-oversight requirements.
Identify credible AI opportunities within a business function.
Apply structured prompt and workflow design in practical use cases.
Use AI to support, not replace, data-informed decision-making.
Lead AI adoption within a team or organisation.

Competency Outcomes

Track-appropriate AI literacy, from awareness to executive strategic fluency.
Practical ability to identify and scope AI use cases.
Working command of prompt and workflow design fundamentals (practitioner/manager tracks).
Confidence exercising human oversight over AI-assisted work.
Ability to lead adoption conversations within a team or organisation.

Curriculum

Illustrative Module Outline

Six illustrative modules, grounded in the strategy, finance, mining, and AI domain knowledge already established across StratBIC's advisory practice.

Executive AI Literacy & Landscape

What AI is, how it is evolving, and its strategic relevance to the organisation.

Responsible AI & Governance Awareness

Principles of responsible AI use, human oversight, and governance considerations.

Identifying AI Opportunities in the Business

Structured methods for identifying credible, high-value AI use cases within a function.

Prompt & Workflow Design Fundamentals

Practical prompt design and workflow integration for practitioner-level application.

Data-Informed Decision-Making with AI

Using AI to strengthen, not replace, evidence-based decision-making.

Leading AI Adoption & Change

Leading adoption within a team or organisation, including change-management considerations.

Practical Learning

Practical Exercises, Tools & Templates

Case Exercises

AI-opportunity identification cases applied to participants' own business functions.

Structured Templates

Use-case scoping and prompt-design templates participants adapt to their own workflows.

Scenario Simulations

Hands-on exercises applying AI tools to realistic business tasks, with structured review of outputs.

Assessment & Completion

How the Programme Is Assessed and Completed

Assessment Method

Track-appropriate applied exercise — an AI use-case proposal for practitioner/manager tracks, a structured discussion for the executive track. [CONTENT REQUIRED: confirm assessment method]

Completion & Certification Pathway

Participants receive a StratBIC Certificate of Completion. Content is informed by MIT Sloan Executive Education training but this programme does not itself confer an MIT Sloan or other third-party certification. [VALIDATION REQUIRED: confirm any certification/accreditation partnership before publishing]

From Classroom to Workplace

Applying the Learning Back at Work

Workplace Application Plan

Practitioner and manager track participants leave with a scoped AI use-case proposal for their own function; executive track participants leave with a structured view of adoption priorities and governance considerations.

Participant Outcomes

Role-appropriate AI confidence — from baseline literacy to practical application skills — and a clearer view of where AI can credibly add value.

Organisational Outcomes

More structured, better-governed AI adoption; reduced risk from ungoverned or poorly scoped AI use.

Follow-Up Support

[CONTENT REQUIRED: confirm follow-up support offering]

Measuring Impact

Illustrative Evaluation Metrics

The metrics below are illustrative examples of how impact could be tracked — not commitments to specific results.

Participant self-assessment of AI literacy and confidence, pre- and post-programme, by track.
Number of AI use cases identified and scoped during the programme.
Where tracked by the organisation, subsequent progress of scoped use cases toward implementation.

Frequently Asked Questions

What to Know Before You Enrol

How do I know which track is right for me?

Track selection is discussed during scoping, based on your role and starting point — awareness, practitioner, manager, or executive.

Does this replace StratBIC's AI for Business Transformation advisory practice?

No. This programme builds AI literacy and role-based capability across your organisation; the advisory practice works directly with leadership on AI strategy and implementation. The two are designed to complement each other — see our AI for Business Transformation advisory practice.

Does this programme grant an MIT Sloan certification?

No. Content is informed by MIT Sloan Executive Education training completed by the facilitator, but StratBIC does not itself award MIT Sloan or other third-party certifications. [VALIDATION REQUIRED]

Is this programme only relevant to mining companies?

No. The AI-literacy and adoption content applies across sectors; sector-specific examples for mining and natural resources are available where relevant to the audience.