Initiate
AI Initiative Strategy & Execution
Half day (3 hours with coffee break)
[Open to all]
This workshop bridges the gap between AI strategy discussions and concrete implementation with defined actions and ownership.
Minimum Group Size: 5
Experience Required: Board Level and Management
A comprehensive strategy and implementation workshop for AI adoption.
In this session we align leadership on strategic positioning, establish concrete pilot projects, and create execution frameworks. We combine live polling technology with facilitated discussion to move from high-level ambition to actionable implementation plans with defined ownership and timelines.Pricing is dependent on group size. Discounts available for larger groups and multiple session booking.
Learning Outcomes
1. Clear understanding of AI capabilities beyond common misconceptions, positioning LLMs as reasoning engines and diffusion models as creative partners.
2. Agreed strategic position on the adoption curve with defined risk appetite and implementation pace.
3. Prioritised business areas for AI implementation based on group consensus and live polling results.
4. Concrete pilot project definitions with measurable outcomes for the first 4-week implementation cycle.
5. Established AI Champions programme with clear mandate, resource allocation, and time protection mechanisms.
6. Comprehensive governance framework including organisation-wide communication protocols and success-sharing strategies.Documented action items with assigned ownership, deadlines, and progress review schedule.
Resources
Following the workshop, we provide a comprehensive strategy memo based on session decisions and discussions, formatted for immediate distribution to the wider practice. This document includes the agreed strategic position, pilot project specifications, governance framework, and implementation timeline. The recorded session serves as a reference point for accountability and decision tracking throughout the rollout process.
Policy
AI Policy Formation Workshop
Full day for engagement (5 hours with coffee break and lunch)
One Follow Up day for written pack
[Open to all]
This workshop solves the governance gap in AI adoption.
Minimum Group Size: 6
Intended for: Board Level, AI Working Group Leads, and Key Stakeholders
A structured approach to developing comprehensive AI policy and governance frameworks. In this session we engage with opportunities and risks around AI adoption to build implementable policy using a proven '10 Guardrails' framework. We gather stakeholder input, achieve consensus on critical policy points, and establish clear governance structures for ongoing AI implementation across the practice.Pricing is dependent on group size.
Follow-up policy review sessions available to discuss draft documentation before full launch.
Learning Outcomes
1.Clear understanding of current industry positioning and adoption levels, contextualising your practice's AI strategy within market trends.
2. Comprehensive risk assessment covering quality assurance, data protection, environmental impact, and knowledge work disruption implications.
3. Structured approach to addressing model bias, intellectual property concerns, and copyright considerations in AI workflows.
4. Defined communications strategy for internal and external AI policy messaging, including public relations considerations.
5. Investment planning framework with clear budget allocation and resource requirement identification for AI adoption.
6. Established governance structure with defined roles, responsibilities, and decision-making processes for ongoing AI management.
7. Working Group formation with clear mandate, reporting structure, and change management approach for organisation-wide implementation.
8. Adoption roadmap with realistic timeline, training requirements, and support mechanisms for different team member capabilities.
Resources
Following the workshop, we develop a comprehensive AI Policy Handbook and implementation document based on consensus reached during the session. This includes detailed policy statements for each of the 10 guardrail areas, governance procedures, and practical implementation guidance.
The document is formatted for immediate internal distribution and can be adapted as your AI adoption evolves. Optional follow-up sessions available to refine the draft policy before organisation-wide launch.
Text & Data
LLM Foundations
Full day course (6 hours with breaks)
[Exclusive for members of Omni Accelerator]
This course transforms chaotic consumer AI interactions into reliable, structured business workflows that professionals can trust with their reputation and duty of care.
Group Size: Between 5 and 20 people
Experience Required: Professionals seeking robust methods for business work
A comprehensive foundation course for effective business use of Large Language Models.
This course provides fundamental knowledge for using language models professionally, covering everything from basic token mechanics to advanced agent networks. We focus on enterprise-grade implementations, accuracy techniques, and systematic workflow development rather than consumer-level interactions.Pricing includes full access to practical examples, template workflows, and ongoing resource library updates.
Learning Outcomes
1. Understanding of LLM mechanics through token strings and probability distributions, enabling strategic workflow design for professional outputs.
2. Mastery of accuracy techniques including context window management, hallucination mitigation, and the competency principle for professional duty of care.
3. Proficiency in structured prompting, role definitions, and systematic input organisation for consistent, high-quality outputs.
4. Strategic model selection across different publishers (OpenAI, Anthropic, Google, Perplexity) based on task requirements, cost considerations, and performance characteristics.
5. Enterprise-grade context management using full document processing rather than RAG, ensuring comprehensive accuracy for technical and legal workflows.
6. Advanced input preparation including Markdown conversion, image processing, and data formatting for optimal model comprehension.
7. Template workflow creation using pre-made prompts with variables, enabling standardised, repeatable processes across teams.
8. Tool integration including Code Interpreter for mathematical accuracy, web search capabilities, and external API connections.
9. Agent architecture design including system prompts, file context, RAG databases, and tool permissions for specialised business functions.
10. Network configuration for agent handoffs and collaborative AI systems that can route queries to appropriate specialists automatically.
Resources
Course includes comprehensive practical examples across all modules, from basic meeting note processing to complex multi-agent workflows. Access to the Omni Accelerator Resource Library provides ongoing updates, community support, and advanced technique documentation as model capabilities evolve.
Image & Video
Visual Workflows
Full day course (6 hours with breaks)
[Exclusive for members of Omni Accelerator]
This course solves the gap between understanding what AI can do and actually building reliable, repeatable workflows that your entire practice can use consistently.
Group Size: Between 5 and 20 people
Experience Required: Professionals seeking robust methods for business work
A practical implementation course for architects and designers building shareable AI image and video workflows.
Moving beyond theory to hands-on application, this course demonstrates complete workflows from sketch to render through to complex material mapping and video animation. Using the latest models like Nano Banana Pro, we focus on transferable techniques across multiple platforms, enabling you to build repeatable processes that can be scaled across your practice.Course access included with membership. Individual lesson progression with practical exercises and downloadable workflow templates.
Workshop Outcomes
1. Practical understanding of foundation models (Nano Banana Pro, Flux 2) and how to access them through different applications and interfaces.
2. Mastery of conversational prompting methods for sketch-to-render workflows across OmniChat, RunDiffusion, and Photoshop Beta platforms.
3. Advanced spatial reasoning techniques including interior scene generation, relighting, camera repositioning, and detailed texture work.
4. Node-based workflow construction in Krea and Weavy, enabling parallelised generation, facade studies, and compositing techniques.
5. Integration of LLM nodes with image generation to create branded content and automated workflow systems.
6. Development of mini-applications from node-based workflows, allowing non-technical team members to use complex AI processes.
7. Advanced material mapping, face swapping, and 3D model simulation techniques for comprehensive design exploration.
8. Video animation workflows combining static image techniques with motion generation for presentation and communication.
Resources
Course includes comprehensive practical examples across all modules, from basic meeting note processing to complex multi-agent workflows. Access to the Omni Accelerator Resource Library provides ongoing updates, community support, and advanced technique documentation as model capabilities evolve.
