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. Participants will explore real-world AI use cases across industries, learn key terminology, and understand AI's limitations and risks.
  • Learning Outcomes:
    - Understand what AI is (and what it is not)
    - Recognise different types of AI models and their uses
    - Identify common business applications of AI
    - Understand basic risks, ethical considerations, and biases in AI

AI Myths & Misconceptions

  • Summary:
    Helps participants move past the fear, hype, and confusion surrounding AI by directly addressing common misconceptions.
  • Detailed Description:
    This interactive session tackles widespread myths and misunderstandings about AI, from fears of job loss and human obsolescence to misconceptions about AI capabilities and risks. Participants will gain a clear-eyed understanding of what AI can and cannot do, where the true opportunities and challenges lie, and how to think critically about AI developments.
  • Learning Outcomes:
    - Identify and debunk common myths about AI capabilities and risks
    - Understand the real limitations and potential of today’s AI technologies
    - Develop a balanced, critical perspective on AI news, trends, and vendor claims
    - Build greater personal confidence in engaging with AI topics

AI Ethics, Risk & Governance

  • Summary:
    Explores fairness, bias, transparency, and responsible adoption of AI in a legal setting.
  • Detailed Description:
    This session provides a practical and business-relevant introduction to AI ethics, risk, and governance. Participants will explore key ethical concepts like fairness, bias, and transparency, along with compliance and legal considerations for AI deployment. Through case studies and real-world examples, particularly from regulated industries such as law, teams will assess potential ethical challenges and learn frameworks for responsible AI adoption.
  • Learning Outcomes:
    - Understand the core ethical risks associated with AI (fairness, bias, transparency)
    - Identify governance structures and legal responsibilities in AI deployment
    - Explore ethical dilemmas through real-world case studies
    - Recognise the importance of responsible adoption, especially in regulated industries
    - Learn practical steps to support ethical, compliant AI use

Introduction to Agentic AI

  • Summary:
    Understand what agentic AI is, how it differs from traditional AI, and why it represents the next shift in AI-driven automation and business workflows.
  • Detailed Description:
    This session introduces the concept of agentic AI: systems that act with autonomy to achieve goals with minimal human intervention. Participants will explore how agentic AI differs from traditional automation, what business problems it is best suited to solve, and how organisations can start preparing for agentic transformations. Real-world examples and guided discussions bring the concepts to life in a non-technical, accessible way.
  • Learning Outcomes:
    - Define what agentic AI is and how it works conceptually
    - Understand key differences between traditional AI and agentic systems
    - Identify business scenarios suited for agentic approaches
    - Recognise early signs of agentic maturity in business processes

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 outputs from AI systems using the GCFTE 5-step framework (Goal, Context, Format, Tone, Examples).
  • Detailed Description:
    This beginner-level session introduces the fundamentals of prompt engineering: how to communicate clearly and effectively with AI systems. Participants will learn and apply the GCFTE framework, a practical method for writing high-quality prompts across various business contexts.
  • Learning Outcomes:
    - Understand what prompt engineering is and why it matters
    - Learn the GCFTE 5-step framework (Goal, Context, Format, Tone, Examples)
    - Write simple, structured prompts to drive better outputs
    - Experiment with refining prompts based on feedback

Prompt Engineering Masterclass

  • Summary:
    Advance your prompting skills by building live AI workflows, GPTs, and simple prototypes based on real use cases.
  • Detailed Description:
    This highly practical masterclass moves beyond basic prompting into designing multi-step workflows and building live prototypes. Participants will use pre-scoped use cases to create GPTs, Gems, or simple AI applications during the session using no-code or low-code tools.
  • Learning Outcomes:
    - Build structured, multi-step prompts that drive workflows
    - Translate use cases into working GPTs, Gems, or apps
    - Test and refine early AI prototypes live
    - Create reusable prompt templates for business needs

AI Tools Masterclass

  • Summary:
    Explore the most relevant AI tools tailored to the delegates’ industry, department, and business challenges.
  • Detailed Description:
    This hands-on session focuses on practical familiarity with AI tools specifically matched to the delegates’ sector, roles, and workflows. Participants will explore key features, strengths, and limitations of industry-relevant tools, building confidence in selection and usage.
  • Learning Outcomes:
    - Explore and practice with AI tools relevant to your industry
    - Match tools to workflow needs and business goals
    - Evaluate tool strengths, limitations, and adoption strategies

Agentic Tools Masterclass

  • Summary:
    Understand what makes a tool 'agentic' and how to evaluate agent platforms, orchestrators, and toolkits for business use.
  • Detailed Description:
    This session introduces the evolving landscape of agentic AI platforms and agent orchestration tools. Participants will learn how to differentiate agentic systems from traditional tools, evaluate their capabilities, and assess organisational readiness for agentic adoption.
  • Learning Outcomes:
    - Define core characteristics of agentic tools
    - Compare agentic platforms, stacks, and solutions
    - Evaluate organisational readiness for agentic adoption

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 to drive intelligent automation.
  • Detailed Description:
    This strategic session helps cross-functional teams visualise workflows and identify decision points, handoffs, and feedback loops between humans and AI systems. Ideal for organisations preparing to redesign processes around AI augmentation.
  • Learning Outcomes:
    - Map decision boundaries between human and AI activities
    - Identify AI-human handoff points
    - Define feedback loops for continuous improvement

Introduction to AI Use Case Discovery

  • Summary:
    A foundational session introducing the TTT framework to spot AI opportunities within business workflows.
  • Detailed Description:
    This beginner-level session teaches participants how to identify where AI can add value within existing processes using We Are Agentic’s proprietary TTT (Task → Trigger → Transformation) discovery framework. Practical group exercises help teams uncover and map high-level opportunities ready for further exploration.
  • Learning Outcomes:
    - Understand what makes a process a good candidate for AI
    - Apply the TTT (Task → Trigger → Transformation) framework
    - Map workflows to surface AI opportunities
    - Build initial confidence in AI opportunity spotting

AI Use Case Discovery Masterclass

  • Summary:
    Advance from opportunity identification to building prototype-ready AI use cases.
  • Detailed Description:
    This advanced session helps teams move from surfaced opportunities to structured, scoping-ready use cases. Participants build prototype-ready blueprints, defining clear triggers, actions, success criteria, and business value — ready for GPT, Gem, or AI app development in follow-on sessions.
  • Learning Outcomes:
    - Prioritise AI opportunities based on impact and feasibility
    - Develop structured, prototype-ready use cases
    - Define triggers, actions, and outcomes for AI applications
    - Prepare use cases for live prompt engineering and prototyping

Agentic RACI Auditing

  • Summary:
    Audit workflows using the RACI framework to identify tasks suited for agentic automation.
  • Detailed Description:
    This session teaches teams to apply the RACI model (Responsible, Accountable, Consulted, Informed) to business processes in order to determine which steps could be shifted to AI agents, streamlined, or redesigned. A critical step before building agentic workflows at scale.
  • Learning Outcomes:
    - Conduct a RACI audit of key processes
    - Define responsibilities for humans and agents
    - Identify automation and orchestration opportunities

Discovery

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

Designing Agentic Workflows

  • Summary:
    Learn how to design workflows that integrate human and AI agent actions for maximum business impact.
  • Detailed Description:
    This session guides teams through designing agentic workflows — defining how humans and AI agents interact, setting clear responsibilities, and structuring processes to maximise automation potential while retaining human oversight where needed. Includes practical mapping exercises and best practice models.
  • Learning Outcomes:
    - Define human and agent roles within workflows
    - Design workflows optimised for agentic collaboration
    - Structure escalation paths and human intervention points
    - Create a workflow map ready for orchestration

Agentic Workflow Orchestration

  • Summary:
    Learn how to configure and sequence AI agents and human steps across workflows to deliver outcomes.
  • Detailed Description:
    This session focuses on the orchestration of multiple AI agents and human actors within a single workflow. Participants learn practical methods to configure task sequences, manage interdependencies, set triggers and guardrails, and ensure robust, flexible automation across business processes.
  • Learning Outcomes:
    - Design orchestrated workflows with multiple agents
    - Sequence tasks and define triggers
    - Implement fallback strategies and escalation plans
    - Prepare workflows for testing and deployment

No-Code AI Building

  • Summary:
    Use no-code platforms to create AI-powered workflows and simple applications without technical coding skills.
  • Detailed Description:
    This hands-on session introduces participants to popular no-code platforms and tools, enabling them to build functional AI workflows and lightweight applications quickly. Focused on business users who want to translate ideas into working prototypes without engineering resources.
  • Learning Outcomes:
    - Explore no-code platforms for AI workflow creation
    - Build basic AI applications without coding
    - Connect AI outputs to business process triggers
    - Prototype and refine simple automation solutions

Vibe-Code AI Building

  • Summary:
    Learn how to write basic structured code or pseudocode to guide developers in building AI solutions.
  • Detailed Description:
    This session empowers non-technical business teams to specify and describe AI functionality clearly using structured writing methods ("vibe-code"). Participants will learn how to define workflows, agent tasks, and system requirements in a way that developers can easily translate into working applications.
  • Learning Outcomes:
    - Write structured pseudocode or specifications for AI solutions
    - Define input–process–output models for agents
    - Communicate technical needs effectively to developers
    - Collaborate more productively on AI builds

Execution

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

AI Adoption Strategy

  • Summary:
    Develop a strategic roadmap for embedding AI into business operations and driving organisation-wide adoption.
  • Detailed Description:
    This session guides leadership and key teams through building a clear AI adoption strategy — including stakeholder engagement, rollout planning, success metrics, and change management approaches. Focused on setting the foundations for sustainable, scalable AI use across the organisation.
  • Learning Outcomes:
    - Define an AI adoption vision and strategy
    - Identify key stakeholders and engagement plans
    - Develop an adoption roadmap with milestones
    - Set success metrics and track progress

AI Champion Enablement

  • Summary:
    Enable internal champions to promote, coach, and drive AI adoption across teams.
  • Detailed Description:
    This session builds an internal cohort of AI Champions equipped to lead by example, promote responsible AI use, and support colleagues through adoption challenges. Practical focus on coaching techniques, best practice sharing, and building an active AI community within the business.
  • Learning Outcomes:
    - Understand the role and responsibilities of an AI Champion
    - Develop skills to coach and support colleagues
    - Promote responsible AI usage across teams
    - Build momentum and community around AI adoption

Platform Use Case Discovery

  • Summary:
    Identify role-specific or department-specific use cases for newly implemented AI platforms.
  • Detailed Description:
    This focused session helps teams discover high-value, workflow-specific use cases tailored to a newly adopted AI platform. Participants work through guided exercises to uncover quick wins and strategic opportunities aligned to their day-to-day business operations.
  • Learning Outcomes:
    - Discover role-based AI platform use cases
    - Map business workflows to platform capabilities
    - Identify quick wins and strategic opportunities
    - Build internal excitement and momentum for adoption

Platform Workflow Configuration

  • Summary:
    Configure and optimise workflows within AI platforms to match business needs and drive real value.
  • Detailed Description:
    This session enables teams to take the use cases identified earlier and configure workflows, agents, or automations inside the AI platform environment. Focused on translating real business processes into platform-native solutions that improve efficiency and outcomes.
  • Learning Outcomes:
    - Configure workflows aligned to business processes
    - Optimise platform features for maximum value
    - Create templates and best practice patterns
    - Build team confidence in using platform workflows

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.