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AI Adoption and Digital Transformation advisors
Navigating the challenges of delivering successful AI projects
Navigating the challenges of delivering successful AI projects
Artificial Intelligence (or AI) is omnipresent in the press, dinner conversations, and board rooms. Like many technology booms before it propelled into a virtuous cycle, leaving many leaders and decision makers in a position to contemplate AI's role in their business context to stay competitive.
What does AI mean for my business, what are the actual tools we could apply? How could we generate value from an investment in AI and how can we quantify this value in advance to manage downside risk?
What are the potential risks from AI adoption and what are the risks of taking no action? How do we manage the quality of the implementation and manage software vendors?
We can assist your business in answering these questions and move beyond a pseudo adoption of AI (having a chatbot backed by a small army of call centre staff), which is often connected to doubtful value creation potential. Working with you, we ask the right questions to identify how AI can add value to your business and establish organisational or technical prerequisites that will allow your organisation to harness the power of AI. We are your partner throughout the entire life-cyle of your AI project. During implementation we can sit between you and your software vendor to ensure the quality of the deliverables are maintained.
The Why
The Why
Technology is an enabler, assisting businesses to grow or become more productive in what they do. These basic principle of technology adoption in business is often overlooked today as we navigate the fundamental paradigm shifts in industry and society brought about by artificial intelligence technologies.
Amid the noise and uncertainty as this paradigm shift plays out, we have noticed that business leaders are often struggling to clearly comprehend why they should invest in AI technologies, other than doing it because everyone else is. This often leads to poor investment decisions and many AI projects not moving beyond a proof-of-concept stage. As a result, businesses are not harnessing the full potential of AI, or even worse, sinking investments in solutions that do not provide the expected value.
The How
The How
Once the path and purpose of adopting AI is clear, the focus needs to move to the "How" of implementing the project. In this phase the business must move beyond a simple selection process of the right tools. AI tools are ubiquitous and not everything that is labelled AI actually lives up the expectations (see AI definitions in the previous section). So tool selection really is the end of a process that must begin with setting up investment strategies and project stewardship. The business must evaluate which resources it requires to execute their AI strategy, keeping in mind that some might exist within the business already. Additional resources must be obtained in the market. These can be provided by consultants or software vendors, but must be supported by developing an internal knowledge base to ensure lasting AI capabilities are created within the business.
The What
This phase is closely connected to the "How" phase. When the project gets underway and a software vendor has been locked in, the implementation team is in delivery mode, focusing on delivering milestones and task packages. In this phase focus is often shifting to an operational view and original value propositions may disappear in the rear view mirror.
Research shows that implementations often fail to deliver their full potential due to misalignement or differences in perception between software vendor and customer.
We sit between you and your software vendor in this phase, bridging this gap and monitoring the project to ensure that software vendors delivers what was agreed during the sales and contract negotiation process.
Capacity management (warehouse) - assisting our customer to implement an AI based machine learning solution to assist in capacity management in one of their main distribution centres by predicting pick order volumes 72 hours in advance
Demand planning solutions - supporting one of our major FMCG customers in selecting and implementing an AI based demand management solution
Implementing new customer - we assisted our clients in implementing a large and complex new contract logistics customer, supporting in all areas of the implementation including final contract negotiations, managing IT integration, warehouse setup and layout, staffing, material handling equipment, go-live
Green field warehouse project - supporting our customer in site selection, lease negotiation and project execution to set up their new distribution centre
Interim management - various interim management roles focusing on stabilising teams, consolidating customer base, controlling cost, and growth after the departure of the managing director or other key managers
Reference projects
Reference projects
Would you like to know more?
Would you like to know more?
Contact arne@other-directions.com to get more information or for a free 30 minute consultation
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