Our white paper titled Enabling your organisation to evolve with AI, outlines an approach to AI deployment that addresses these challenges. BJSS surveyed 261 C-suite executives across multiple industries, gathering intelligence on common challenges, pitfalls and opportunities. 

At BJSS, we understand the challenge of incorporating AI into organisations, from navigating the design of your new operating model to managing resistance to change.  

Our expertise is rooted in enabling transformation across hundreds of organisations and diverse sectors, tackling all types of change. Beyond the AI hype, we leverage our extensive engineering and consulting experience to deliver real, impactful results.

Drive AI success with BJSS' 'strategy by doing' approach

The BJSS ‘strategy by doing’ approach, outlined in the white paper, helps organisations realise the benefits of AI by aligning strategy, business and technology through a practical and iterative approach. This is underpinned by robust change management at every step to ensure that people, process and technology aspects are developed in the round. 

Our lean principles help you balance innovation with caution, something we know is important in critical and complex industries. We work with you to strategically select pilot areas and continuously refine processes to help organisations evolve with AI.  

Enable your organisation to evolve with AI

Discover how strategic AI integration can transform your organisation, drive data-driven decisions, enhance customer insights, and unlock revenue streams.
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Addressing ethics, sustainability, and human-centric challenges

BJSS brings experience of operating across industry sectors. The research is analysed by sector, highlighting the commonalities and differences between those sectors and the way they think about AI deployment. 

For example, retail organisations seek to use AI to enhance customer experiences, whereas healthcare providers seek to improve patient care. In a challenging economic environment, both are seeking to use AI to streamline back-office operations and therefore share challenges of adoption among operational staff. The “Human in the loop” approach builds trust and confidence and address resistance.  

The white paper addresses key challenges around ethics and sustainability. As leaders grapple to understand the implications of AI, it is imperative to ensure implementation adheres to Corporate Digital Responsibilities (CDR) to build trust and protect users.  

Respondents across industry sectors cite a lack of understanding, concerns around job displacement and lack of clarity of data privacy considerations. This is particularly critical in industry sectors such as IT and Telecoms, which have a particular focus on using AI as a path to technological advancement. Therefore, having robust mitigation policies in place to offset the ethical risks presented by AI technologies is a key requirement.  

The white paper tackles blockers to successful implementation, for example:  

  • Given the experimental and fast evolving nature of AI technology, how can organisations guarantee ROI on AI programmes?  
  • How can businesses overcome infrastructure and skill gaps to manage AI systems at scale?
  • How can we manage a lack of accessible data and ensure data governance ensures trust in its quality?

Unlock AI's full potential with expert guidance on strategy and transformation 

The white paper is a resource for business leaders that combines evidenced insights, industry commentary and transformation approaches. We hope it gives food for thought as the rate of AI change continues to accelerate.  

BJSS provides comprehensive support across technology strategy development, delivery planning, and technical engineering. With our broad perspective on technology transformation, we are ideally positioned to advise clients on the human, organisational, and technical aspects of AI deployment as outlined in our white paper. With our experience in AI integration, we help clients navigate the complexities of transformation, ensuring alignment between strategy, technology, and people for successful and sustainable AI implementation. 

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