Moving Your Organisation from Zero to AI Hero

Transforming your organisation with AI doesn’t require hiring numerous machine learning experts or investing in expensive computing infrastructure. In fact, most organisations can benefit from some straightforward steps when entering the world of AI. Let’s explore these steps and discover how your organisation can take minor actions to achieve significant rewards.

Individuals Using AI Tools:

A practical first step in adopting AI is allowing individuals to use general-purpose AI tools like ChatGPT, Microsoft CoPilot, Gemini, and Claude. These tools provide access to foundational models (such as GPT-4) that can handle a vast array of tasks. Encourage team members to explore these tools to uncover valuable applications that enhance their work efficiency.

Example Applications: Use case identification, training, cognitive support, idea generation.

Shared Organisational Context:

After multiple team members have experimented with AI tools, opportunities for collaboration on effective use cases emerge. Sharing successful applications, creating standardised workflows, and developing a library of standard prompts can enhance the benefits experienced by individual users and facilitate organisational learning.

Example Applications: Business documentation, marketing activities, development of operating procedures.

AI Integrated Workflows:

Once your team has identified frequently used use cases, begin standardising these workflows to simplify repetition and enhance usability across the organisation. Utilise GPTs and structured workflows to avoid starting from scratch each time. These can be fully captured within the GPT or broken down into standardised steps to ensure consistent, high-quality outcomes.

Example Applications: Bid writing, content generation, communications, business alignment, scenario building.

Low/No Code AI Integration:

Develop specific use cases into standalone tools at this stage, allowing workflow testing and accessibility for non-AI users while safeguarding against deviations from expected parameters. Low/no code platforms enable quick, effective solution refinement without extensive developer resources.

Example Applications: Knowledge searching, client-facing or revenue-generating tools.

AI Data Integration Techniques:

As your organisation begins to integrate more complex data services—such as operational data, company knowledge bases, and intellectual property—the use of AI-ready data sources like Retrieval Augmented Generation (RAG), knowledge graphs, and vector storage becomes crucial.

Example Applications: Internal ChatBot, knowledge tools, internal knowledge management, customer insight.

Custom AI Apps:

When a use case proves its value and ROI has been identified, move towards developing custom apps. This stage often requires an investment in specialist development as the capabilities of no/low code tools are exceeded.

Example Applications: Tailored AI solutions specific to your organisation's products or services.

AI Fine-tuning:

Delve into enhancing model performance by using clean, precise data to adapt AI models to meet user and customer needs effectively, likely in customer-facing applications.

Example Applications: Customer chatbots and service agents, bespoke AI services.

AI Custom Model Development:

This advanced stage is typically pursued after testing all previous stages, where your organisation prepares to develop highly specific solutions based on identified ROI and available resources.

Example Applications: Custom AI services and business models.

You don’t need to dive deep to begin leveraging AI to gain a competitive edge. Simple steps can yield significant rewards. While complexity and costs may increase rapidly, the substantial benefits your organisation can achieve from adopting readily available AI technologies and applying them to critical business challenges are immense.

Ready to start your AI journey but unsure how? Contact us today for personalised guidance and take the first step towards transforming your business with AI.