It's a Journey not for the Faint Hearted
Embarking on an AI-driven Business Transformational Journey is a bold venture, not meant for the faint-hearted. It’s a path fraught with potential risks that could impact a thriving business, yet it’s seen as a golden opportunity that beckons if an organisation wants growth and /or operational excellence. In the previous year alone, American enterprises invested a staggering $1.59 trillion in Business Transformations (sourced from Statista). This investment is projected to soar by 20% this year, propelled by the transformative power of AI urging organisations to evolve. Given the substantial financial commitments, devising an effective transformational journey /flow driving AI transformational change has never been more important. This importance has been magnified by studies from reputable sources like Forbes, McKinsey, Everest Group, and seminal books like “Sense of Urgency” by Professor John Kotter, all highlighting a daunting failure rate of over 70%.
Some organisations are exempt from these glaring statistics and are members of the 30% success club from the start. These organisations are AI ready, organisations born with AI at their core, where new AI initiatives seamlessly blend into a continuous journey of enhancement. These organisations include giants like Google and its subsidiary DeepMind, Facebook, and Microsoft.
“My Organisation is not Google, how do we navigate our path to Success?“
Realising that your organisations place in the 30% club has to be earned is the first vital step to making sure your organisations AI Business Transformation is going to be a success. The future of your transformation is likely to look daunting, faced with the need to substantially redesign your operational model, discover and develop new AI Initiatives to be delivered to a new AI ready organisation. With our 30 + years of experience in Business Transformational we can guide and help make make sure your organisation is in the 30% club from the start.
Well in our view this journey begins with a well-designed transformational flow :-
The Transformational Flow detailed above is typical but the secret of success is in the detail. The studies mentioned earlier echo a unanimous verdict – that the seeds of failure are typically sown at the outset during the design phase of a typical AI Business Transformation. This aligns with our belief that,
“AI Transformation Programmes designed right, Fly Right.”
In our view the critical success factors needed for assured Transformational Success need to be designed in at this stage. So what are these critical success factors:-
Let's Bake In Success From the Outset
Governance /Change and Delivery Management
Governance is key to the success of any Business Transformation. At its simplest a programme of change can only be steered to success through clear ownership, accountability and responsibility at all levels of delivering a large-scale change programme. The organisation of these temporary control structures are shaped and evolved as the AI Transformation programme moves forward. They are a living and breathing thing that must be continually modified to fit the size and complexity of the tasks /changes to be performed and embedded. A typical AI Transformation Governance organisation at peak during the implementation phase could look similar to the following: –
QI Momentum has the necessary experience and management maturity to support you in your endeavours to design, shape and implement a dynamic and evolving governance ethos and structure into your AI Business Transformation.
Leverage
QI Momentum are Transformational Design Specialists we aim to be force multiplier and its are aim to pass on our experience and knowledge to our clients. We also have many partners and relationships for you to exploit and we are always willing to help discuss as part of a well formed AI Strategy the balance between in-house, third party development and or buy-in proprietary product strategies. We are always happy to take a step back supporting a properly structured tendering process.
AI Strategy Development
Embarking on an AI Business Transformation journey, it is essential to have a well-formed AI Strategy from the off. Here are several reasons why an AI Strategy is deemed so vital:
- Alignment with Business Objectives & AI Vision
- Resource Optimisation
- Risk Management & Assessment
- Future Readiness Activities /Tasks
- Early Delivery Roadmap
- Stakeholder buy-in & Engagement
- Regulatory Compliance and Ethical Adherence
- Current State Analysis
- Skill Development and Capacity Building
- Technology Selection /Design and Development Approach.
- Change Management
- Measurement & Evaluation (KPIs)
This document in essence acts as a compass, guiding the organisation through the multifaceted journey of AI Business Transformation, ensuring that efforts are concerted, risks are managed, and the desired outcomes are achieved in a structured and efficient manner. QI Momentum is at its core an AI Strategy consultancy and we can help you develop this key document.
AI Readiness – 7 Pillars of AI Readiness
Depending on the contents of the AI Strategy we can help through our extensive technological and delivery experience guide and point the way on discovering the long list of AI Readiness tasks that need to be completed before embarking on the implementation phase of your Business Transformation. We call the typical areas where AI Readiness needs to be properly assessed and addressed the seven pillars of AI Transformational Readiness and are summarised as follows :
AI Initiative Discovery Framework
We have developed our own AI Discovery Framework to optimise the selection, assessment and approval of Potential AI Initiatives (PAI’s). Our framework which is tailored to each organisations differing business and regulatory environment makes sure that every initiative is prepared ready for costing and adding to the AI Business Transformation Business Case which we are also happy to compile and shape to our clients unique accounting needs and formats.
Cross Functional Teams
Creating a robust AI solution often necessitates the collaboration of a cross-functional development team to address various technical, business, and operational aspects. A typical AI cross-functional development team might comprise the following roles depending on your AI Strategy (in-house, package or third-party build) :
- Project Manager/s
- AI/ML Engineers
- Data Scientists & Engineers
- Domain Experts
- Software Developers
- User Experience (UX) Designers
- User Experience (UX) Designers
- DevOps Engineers
- Quality Assurance (QA) Engineers
- Legal and Ethical Compliance Officer/s
- AI Business Analysts
- Communication Specialists
- Tech Support & Maintenance
- Training & Development Specialists
- Change Management Specialists
These roles collaborate to ensure that the AI solution is effectively developed, deployed, and adopted within the organisation, contributing to the achievement of the business objectives. The exact composition and structure of the cross-functional team may vary based on the specific needs and scope of the AI project, as well as the size and nature of the client organisation.