Target Operating Model

Target Operating Model

πŸ“Œ Target Operating Model Summary

A Target Operating Model (TOM) is a detailed description of how an organisation wants to run its operations in the future. It outlines the structure, processes, technology, people, and information needed to achieve strategic goals. The TOM serves as a blueprint for change, helping guide decisions and investments as an organisation moves from its current state to its desired future state.

πŸ™‹πŸ»β€β™‚οΈ Explain Target Operating Model Simply

Imagine a football team planning for next season. The coach draws up a new plan for how the team should play, who will be in each position, and what new training routines they will use. The Target Operating Model is like that plan, showing how everything should work together for the team to win more games.

πŸ“… How Can it be used?

A project team might use a Target Operating Model to redesign customer service processes and define new roles after a company merger.

πŸ—ΊοΈ Real World Examples

A bank undergoing digital transformation creates a Target Operating Model to shift from branch-based services to online banking. The model details new digital processes, technology platforms, customer support roles, and performance measures to support the change.

A charity expanding its services nationwide develops a Target Operating Model to standardise how support is delivered across regions. The model sets out new team structures, volunteer management processes, and IT systems to ensure consistent service quality.

βœ… FAQ

What is a Target Operating Model and why do organisations use one?

A Target Operating Model is a plan that shows how an organisation wants to work in the future, covering things like people, processes, technology, and information. Organisations use it as a guide to help them reach their goals and make improvements, making sure everyone understands the direction and what changes are needed.

How does a Target Operating Model help with change in an organisation?

A Target Operating Model acts as a blueprint for change. It helps leaders and teams see what needs to change and why, making it easier to plan projects and investments. By having a clear picture of the future, everyone can work together towards the same goals and track progress along the way.

What are the main parts of a Target Operating Model?

A Target Operating Model usually includes the organisation’s structure, key processes, technology, information, and the people involved. By bringing all these parts together, it helps an organisation see how everything fits and what adjustments might be needed to succeed.

πŸ“š Categories

πŸ”— External Reference Links

Target Operating Model link

πŸ‘ Was This Helpful?

If this page helped you, please consider giving us a linkback or share on social media! πŸ“Ž https://www.efficiencyai.co.uk/knowledge_card/target-operating-model

Ready to Transform, and Optimise?

At EfficiencyAI, we don’t just understand technology β€” we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.

Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.

Let’s talk about what’s next for your organisation.


πŸ’‘Other Useful Knowledge Cards

AI for Microgrids

AI for microgrids refers to the use of artificial intelligence to manage, optimise, and control small-scale local energy systems. Microgrids often combine renewable energy sources, batteries, and traditional power sources to supply electricity to a limited area such as a neighbourhood, campus, or industrial site. AI helps microgrids balance supply and demand, predict energy usage, and respond to changes in weather or equipment performance, making the system more efficient and reliable.

Neural Network Robustness

Neural network robustness refers to how well a neural network can maintain its accuracy and performance even when faced with unexpected or challenging inputs, such as noisy data, small errors, or deliberate attacks. A robust neural network does not easily get confused or make mistakes when the data it processes is slightly different from what it has seen during training. This concept is important for ensuring that AI systems remain reliable and trustworthy in real-world situations where perfect data cannot always be guaranteed.

Graph Signal Processing

Graph Signal Processing is a field that extends traditional signal processing techniques to data structured as graphs, where nodes represent entities and edges show relationships. Instead of working with signals on regular grids, like images or audio, it focuses on signals defined on irregular structures, such as social networks or sensor networks. This approach helps to analyse, filter, and interpret complex data where the connections between items are important.

Business Process Modeling

Business Process Modeling is a way to visually describe the steps and flow of activities in a business process. It helps people understand how work is done, where decisions are made, and how information moves between tasks. By creating diagrams or maps, organisations can spot areas to improve efficiency, reduce errors, and make processes clearer for everyone involved.

AI for Retail

AI for Retail refers to the use of artificial intelligence technologies to improve and automate various processes in shops and online stores. This includes things like predicting what products people will buy, managing stock levels, personalising recommendations, and speeding up customer service. AI helps retailers make better decisions and provide a smoother shopping experience for customers.