Skip to main content
KRACKED ACADEMY
All courses

By request

SME AI Programme

Practical AI training for small teams that need faster admin, content, sales, and operations workflows.

Beginner to practicalScoped workshopSmall business teams
Request programme briefTalk to us

01 / OVERVIEW

What this programme is

The SME AI Programme helps small teams find practical AI uses without buying into vague automation promises.

The programme focuses on everyday work: replies, quotations, admin notes, content workflows, comparisons, simple trackers, and review before customer-facing use.

02 / WHO IT IS FOR

Built for the right context

  • Founders or operators who want practical AI habits.
  • Small teams handling repeated admin, sales, content, or support work.
  • Businesses that need a scoped training format before committing to deeper tooling.

03 / OBJECTIVES

What learners should leave with

  • Pick one repeated business task AI can safely assist.
  • Draft reusable prompts for sales, admin, or content workflows.
  • Create a simple tracker, workflow, or document output.
  • Review AI-generated business copy before it reaches customers.

04 / MODULE OUTLINE

Seven modules, summary only

M-01

AI Basics

Understand what AI can and cannot do before using it for real work.

  • Common AI uses
  • Human judgement
  • Safe first tasks
Safe-use checklist
M-02

Prompting

Give clearer instructions and review the result instead of accepting the first answer.

  • Prompt structure
  • Context and constraints
  • Review loops
Reusable prompt template
M-03

Workflows

Break a repeated task into steps where AI can help without taking over.

  • Task mapping
  • Drafting support
  • Human checkpoints
Workflow map
M-04

Research

Use AI to explore and compare information while checking sources and missing context.

  • Question framing
  • Source comparison
  • Briefing notes
One-page comparison brief
M-05

Build Practice

Turn the learning into a visible output, prototype, worksheet, tracker, or build-lab path.

  • Output selection
  • Build planning
  • First useful draft
Practical build artifact
M-06

Review And Safety

Check AI output for mistakes, privacy risk, weak claims, tone issues, and missing review.

  • Accuracy checks
  • Privacy awareness
  • Share-readiness review
Review checklist
M-07

Final Project

Package one useful result and explain what was made, how it was checked, and what comes next.

  • Project story
  • Evidence of work
  • Next improvement
Final project story

05 / DELIVERY

How it runs

  • Scoped around the business context and team readiness.
  • Training outputs are practical drafts and workflow artifacts.
  • Customer, employee, and private business data should not be pasted into public AI tools without approval.

06 / NEXT ACTION

Review the path, then choose the right next step.

Public pages stay at overview level. Academy learning surfaces hold the actual lessons, labs, and resources.

Request programme briefBrowse all courses