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Practical workplace adoption · All functions

Turn AI experiments intorepeatable, governed work.

Find useful AI tasks, write clear instructions, check results and keep human review in team work that improves quality and speed.

Duration2 days
LevelAll functions
FormatHands-on
Learning units12

Learning outcomes

Skills you can use and explain.

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

  1. 01

    Prioritise AI use cases by value, feasibility and consequence.

  2. 02

    Design reusable prompt and context patterns for team tasks.

  3. 03

    Build verification, approval and exception handling into workflows.

  4. 04

    Protect confidential, personal and commercially sensitive information.

  5. 05

    Measure time, quality, risk and adoption without inflating benefits.

  6. 06

    Produce a controlled team workflow ready for a bounded pilot.

Course pathway

Prioritise. Design. Control. Scale.

The course moves from random prompts to a team process with owners, checks, measures and clear stop rules.

Module 01Prioritise real work
  • Value starts with the baseline
  • Use-case portfolio sprint
  • Priority decision
Module 02Build reusable prompt patterns
  • A team prompt is a controlled asset
  • Prompt-pattern engineering
  • Reusable-asset decision
Module 03Control the human–AI workflow
  • Controls belong inside the process
  • Workflow control map
  • Human-review decision
Module 04Pilot, measure and improve
  • Measure more than time saved
  • Team pilot charter capstone
  • Scale decision
SIFTCON Academy practical learning environment.

Final team project

Take one process from idea to pilot-ready design.

Teams record the current process, define AI and human roles, build a reusable instruction, set controls and agree on measures and stop rules.

BaselineAssistControlMeasure

Designed for

People who need to make better technical decisions.

Best suited to

  • Professionals across finance, operations, HR, marketing and administration
  • Team leaders introducing AI-assisted work
  • Process owners and change champions
  • Risk, compliance and technology partners supporting adoption

Preparation

  • Bring one repeatable, non-sensitive team process
  • Identify current pain points and quality measures
  • Use only organisation-approved tools and data
  • No technical development background required
01

Use-case portfolio

Prioritise value against feasibility and consequence.

02

Prompt pattern

Create reusable context and quality controls.

03

Workflow control

Assign checks, approvals and exception routes.

04

Pilot charter

Set measures, owners and stopping conditions.

Group and in-house training

Adapt this course to your learners, organisation and decisions.

Plan a cohort
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