Services

The AI Maturity Journey

Browse our array of workshops to get you to the next stage on your AI journey

How Our Training Works

All modules are designed as half-day sessions with the option of up to four modules being condensed into a single-day workshop.

  1. You decide the delivery format: virtual or in-person.

  2. Literacy modules are standard, while all other modules are tailored to specific industries, business units, or organisational needs.

Introduction to AI

  • Summary:
    Understand what AI is, how it works, and where it fits into modern business workflows.
  • Detailed Description:
    This session provides a non-technical introduction to artificial intelligence, covering key concepts, terminology, and real-world applications across various industries.
  • Learning Outcomes:
    - Understand core AI concepts
    - Identify examples of AI in business
    - Develop confidence discussing AI across teams

AI Ethics & Responsible Use

  • Summary:
    Explore bias, privacy, compliance, and responsible AI use.
  • Detailed Description:
    This session helps teams understand the ethical implications of AI, including how to avoid bias, ensure compliance, and deploy AI responsibly.
  • Learning Outcomes:
    - Understand ethical risks
    - Learn how to mitigate bias
    - Apply compliance principles to AI projects

AI Risk & Governance Basics

  • Summary:
    Understand AI risk, governance structures, and compliance obligations.
  • Detailed Description:
    This session provides a practical overview of AI risk types, regulatory expectations, and internal governance frameworks.
  • Learning Outcomes:
    - Recognise key AI risks
    - Implement governance processes
    - Navigate regulatory environments

Agentic AI Fundamentals

  • Summary:
    Understand what agentic AI is and how it differs from traditional automation.
  • Detailed Description:
    An introductory session covering the key characteristics of agentic systems, including autonomy, reasoning, and action planning. Ideal for businesses preparing to move beyond prompting.
  • Learning Outcomes:
    - Define agentic AI
    - Differentiate it from traditional AI
    - Understand its role in workflow transformation

Literacy

Build foundational understanding of AI and shared language across the organisation.

Introduction to Prompt Engineering

  • Summary:
    Learn how to structure prompts and get better results from AI tools.
  • Detailed Description:
    A beginner-level session that introduces prompt structure, tone, and iteration strategies for tools like ChatGPT, Claude, or Gemini.
  • Learning Outcomes:
    - Understand prompt components
    - Write basic prompts for different tasks
    - Improve outputs through iteration

Prompt Engineering Masterclass

  • Summary:
    Advanced techniques for crafting prompts tailored to your role or use case.
  • Detailed Description:
    A hands-on session that helps users move beyond basic prompting into scenario-driven use cases, including task-specific and role-specific prompts.
  • Learning Outcomes:
    - Create advanced prompts
    - Develop reusable templates
    - Align prompts with business goals

AI Tools Masterclass

  • Summary:
    Explore and compare popular AI tools across business functions.
  • Detailed Description:
    This session introduces participants to the most relevant AI tools available, helping teams evaluate use cases, strengths, and limitations based on industry and function.
  • Learning Outcomes:
    - Compare common AI tools
    - Match tools to specific use cases
    - Select the right tool for your function

Agentic Tools Masterclass

  • Summary:
    Overview of agentic platforms and solutions on the market.
  • Detailed Description:
    This session helps teams understand what makes a tool 'agentic' and how to compare agent orchestration platforms, toolkits, and agent stacks for business use.
  • Learning Outcomes:
    - Define agentic tool characteristics
    - Compare agentic solutions
    - Evaluate readiness for implementation

Training

Develop practical skills in prompting, tooling, and navigating the AI landscape.

Mapping Human–AI Workflows

  • Summary:
    Map where humans and AI interact across business processes.
  • Detailed Description:
    This strategic session helps cross-functional teams understand where AI creates value, what decisions stay with people, and how to structure feedback loops for intelligent automation.
  • Learning Outcomes:
    - Map decision boundaries
    - Identify AI-human handoffs
    - Define feedback loops

Discovery Sprint Workshop

  • Summary:
    Discovery Sprint Workshop
  • Detailed Description:
    This interactive workshop brings together business and technical stakeholders to surface real pain points, evaluate potential use cases, and co-design next-step opportunities. The outcome is a prioritised, stakeholder-approved shortlist of AI use cases aligned with business goals. Ideal for organisations at the start of their AI maturity journey or looking to build momentum around transformation.
  • Learning Outcomes:
    - Identify and map AI opportunities collaboratively
    - Align stakeholders across teams and functions
    - Prioritise use cases for feasibility and impact
    - Create shared ownership of AI transformation

AI Use Case Discovery

  • Summary:
    Discover and validate high-impact use cases for AI implementation.
  • Detailed Description:
    This session helps teams apply the TTT framework to uncover pain points and inefficiencies across roles or industries, then identify and prioritise use cases for AI.
  • Learning Outcomes:
    - Apply TTT to identify opportunities
    - Validate use case potential
    - Prioritise implementation candidates

Agentic RACI Auditing

  • Summary:
    Audit your workflows using the RACI model to identify agentic opportunities.
  • Detailed Description:
    This workshop introduces the use of the RACI framework for determining which steps in a process should be handled by humans, agents, or jointly, and identifies automation opportunities.
  • Learning Outcomes:
    - Conduct a RACI audit
    - Define agent responsibilities
    - Spot automation candidates

Discovery

Identify and prioritise high-value AI opportunities across workflows, teams, and industries.

Designing Agentic Workflows

  • Summary:
    Define and map agentic workflows using structured frameworks.
  • Detailed Description:
    This session helps teams plan agent-enabled workflows using frameworks like TTT and RACI. Participants identify multi-step processes, define trigger points, and prepare for agent orchestration.
  • Learning Outcomes:
    - Map out agent workflows
    - Apply TTT and RACI
    - Define triggers and handoffs

Agentic Workflow Orchestration

  • Summary:
    Guide teams through configuring and sequencing agentic workflows.
  • Detailed Description:
    A technical session on coordinating multi-step processes using agentic platforms. Includes trigger setup, chaining, and orchestration strategies.
  • Learning Outcomes:
    - Implement agent orchestration
    - Configure task sequencing
    - Enable autonomous execution within workflows

No-Code AI Building

  • Summary:
    Use drag-and-drop tools to create automated AI workflows.
  • Detailed Description:
    This session walks non-technical teams through the use of no-code platforms to create useful, repeatable AI-driven automations.
  • Learning Outcomes:
    - Build no-code workflows
    - Automate repetitive tasks
    - Connect tools and APIs

Vibe-Code AI Building

  • Summary:
    Learn how to write structured requirements to brief and align agentic systems.
  • Detailed Description:
    Participants learn to define the tone, personality, constraints, and context required for agents to behave consistently and appropriately in business environments.
  • Learning Outcomes:
    - Define agent tone and constraints
    - Communicate requirements clearly
    - Collaborate with AI builders

Execution

Design and orchestrate AI and agentic workflows, automations, and human-AI interactions.

AI Adoption Strategy

  • Summary:
    Develop a roadmap and success metrics for AI adoption.
  • Detailed Description:
    Teams learn how to build internal alignment, define success metrics, and set realistic targets for successful, scalable AI deployment.
  • Learning Outcomes:
    - Build adoption strategy
    - Align stakeholders
    - Define success metrics

AI Champion Enablement

  • Summary:
    Train internal champions to lead and scale AI adoption.
  • Detailed Description:
    This session helps organisations build an internal network of AI advocates who can train, evangelise, and support ongoing adoption across teams.
  • Learning Outcomes:
    - Build AI champion cohort
    - Train champions to lead
    - Scale adoption internally

Platform Use Case Discovery

  • Summary:
    Discover role-based or industry-specific use cases aligned to your platform.
  • Detailed Description:
    Tailored to your AI platform, this session surfaces and validates use cases based on real work, helping teams focus on workflows best suited to the platform.
  • Learning Outcomes:
    - Identify platform-specific use cases
    - Prioritise based on feasibility and value
    - Align with business context

Platform Workflow Configuration

  • Summary:
    Guide teams in implementing platform workflows to support validated use cases.
  • Detailed Description:
    This enablement session helps teams implement role-specific workflows and use cases into the platform, using pre-built templates or drag-and-drop tools — no code required.
  • Learning Outcomes:
    - Configure workflows within platform
    - Operationalise validated use cases
    - Prepare teams for full adoption

Adoption

Scale usage, embed change, and drive organisational long-term adoption for your chosen AI platforms.

Not sure where to start? We'll meet you where you are.

From building literacy to scaling adoption, we tailor every programme to your needs.