AI Beyond Tomorrow – a model for your AI transition
Integrating generative AI into all organisational operations
The time for sandbox experiments with AI is over. It’s time to move towards a future where generative AI is no longer a set of isolated tools and experiments, but an integral part of all organisational activity and everyone’s daily work.
Gofore’s transition model helps you make sense of the AI shift, combining new technologies with the adoption of new ways of thinking and working.
The AI Beyond Tomorrow transition model
Gofore’s AI Beyond Tomorrow transition model is a practical framework for thinking and transformation, offering clear steps and guidance for a successful AI transition. The model is built on four levels: individual, organisation, business and digital development, supported by a data- and platform-based foundation, and a dedicated engine driving the transition.
We help identify where to begin and select the processes and value streams where AI can have the greatest impact on efficiency, cost, customer value or quality.
Drawing on Gofore’s industry expertise, capabilities, services, and our own and our partners’ solutions, we assemble the team and the overall approach needed to improve or renew selected areas so that technological adoption and people-driven change go hand in hand.
Elements of the transition model
Integrating generative AI into all operations
1. Individual: more impactful work and a new culture
How can each individual find effective ways to work more impactfully in their own role? How can we build an organisational culture that supports renewal?
2. Organisation: enhancing core processes and a leap in productivity
Which core processes and functions should be improved with AI? How can productivity leaps be achieved in practice through automation and agentic AI?
3. Business: accelerating new initiatives and customer value
How is AI harnessed to create new value for customers and other stakeholders, and how is AI-accelerated operations is managed?
4. Digital development: a new era of secure software development and maintenance
How can the absolute prerequisite for future competitiveness – digital development – be put into a new mode and start adopting new autonomously?
A shared foundation and high-quality governance enable broader AI adoption
A robust data and platform foundation
Fully realising the benefits of AI requires a secure and scalable data and platform base. We help choose the right technologies, design and implement cloud transitions, and build and maintain platforms for AI applications securely.
The engine of the AI transition
We support you in building the so-called AI transition engine – an AI Transformation Office – which ensures that the transition progresses across chosen areas, investments are made wisely, the whole remains manageable, and people have sufficient resources to adopt new ways of working.
AI transition requires a dual transformation
A successful AI transition requires a dual transformation: ways of working must evolve alongside technology. The true benefits of new technology are realised only when people adopt new practices as part of the change.
The introduction of AI is not a one-off project but a continuous, wave-driven process. The first wave brings the adoption of AI and its integration into everyday routines.
Each subsequent wave requires the continuous adoption of advancing technology and new practices. Organisations must have the capacity to grow and renew themselves with every wave, ensuring readiness to meet upcoming waves of AI across all areas of business.
