Frequently Asked Questions
Intelidat FAQ
Information Strategy, Enterprise or Business AI and Digital Twin of Organisations
About Intelidat
Q: What does Intelidat do?
Intelidat helps organisations organise, structure and use business information and AI so leaders can make better decisions, improve productivity and reduce cost.
Q: Who does Intelidat work with?
Intelidat primarily works with senior leaders in small and mid‑sized organisations who want to become more data‑driven, improve information quality and explore practical uses of AI and digital twins in their business.
Q: What problems does Intelidat typically solve?
Typical problems include inconsistent data across systems, lack of trustworthy management information, uncertainty about where to start with AI, and difficulty turning information into practical actions that improve performance.
Personal, Enterprise and Business AI
Q: What is Personal AI?
Personal AI is artificial intelligence designed to learn from and support a single individual, using that person’s own data, preferences and working style to provide highly tailored assistance, memory support and automation in daily life and work.
Q: What is Enterprise AI?
Enterprise AI is the application of AI technologies such as machine learning and natural language processing across an organisation’s core processes, systems and functions, at scale, to improve efficiency, decision‑making and innovation.
Q: What is Business AI?
Business AI (often called “AI for business”) is the use of AI to create commercial value in organisations of any size, from automating tasks and analysing data to improving customer experience and supporting new products and services.
Q: Are Enterprise and Business AI the same thing?
At Intelidat, we conflate the terms Enterprise and Business AI as being different to Personal AI as being AI applied to an Organisation and therefore subject to audit & scrutiny in a way Personal AI cannot meet
Enterprise AI and the “Business Brain”
Q: What is Enterprise AI in simple terms?
Enterprise AI is the use of AI across a whole organisation to improve how people work, how decisions are made and how core processes run, rather than using disconnected tools in isolated departments.
Q: How is “enterprise AI” different from just using chatbots or AI apps?
Standalone AI tools answer questions or create content, while enterprise AI connects information, processes and systems so that AI is working on trusted data, with clear guardrails, across the organisation.
Q: What is the “business brain” concept?
The business brain is a practical way of describing the cognitive centre of a modern organisation: the information, data structures, models and tools that together help leaders see what is happening, predict what might happen and test decisions before acting.
Q: Where should a business start with enterprise AI?
Most organisations should start by understanding the current state of their information, clarifying business priorities, and running a focused AI readiness or discovery session before investing in large platforms or multiple tools.
Digital Twins and Information Strategy
Q: What is a digital twin of an organisation?
A digital twin of an organisation is a living model of how people, processes and systems work together, built from real operational data, that allows leaders to see how the business actually runs and test potential changes safely.
Q: How can a digital twin help my business?
A digital twin helps expose friction, delays and rework in core processes, highlights low‑hanging‑fruit improvements, and supports simulation of “what if” scenarios before committing time, money or people.
Q: Do we need advanced technology before creating a digital twin?
No; the first step is understanding the information you already have, how it flows through your systems, and whether it is accurate and complete enough to support modelling and analysis.
Q: What is an information strategy and why does it matter?
An information strategy sets out how your organisation will treat information as an asset, including data structures, governance, systems, people and processes needed to turn raw data into reliable insight
Services, Workshops and Engagements
Q: What services does Intelidat offer?
Intelidat provides information strategy leadership, digital transformation and data quality services, enterprise AI and digital twin advisory, and support to design integrated business systems and management information.
Q: What is the complimentary workshop mentioned on the site?
The complimentary workshop is a short, structured session that explores your current productivity, information value and data quality, helping you identify the most promising areas for improvement.
Q: What happens in an AI or digital twin discovery session?
In a discovery session, Intelidat reviews your current systems, information flows, decision‑making needs and constraints, then outlines practical options for using AI or digital twins to support your strategic goals.
Q: How long do typical consulting engagements last?
Engagements can range from a single workshop or short diagnostic to multi‑month programmes focused on designing and implementing a new information and AI foundation; the scope is agreed upfront for each client.
Data, Governance and Technology
Q: What is meant by “intelligent data”?
Intelligent data is data that is accurate, trusted, contextual and connected enough to support real‑world decisions, rather than isolated numbers that cannot be traced or explained.
Q: How does Intelidat approach data quality and governance?
Intelidat helps define critical data, clarify ownership, establish practical standards and implement checks so leaders can trust the information used in reporting, AI models and digital twins.
Q: Do we need a particular technology stack to work with Intelidat?
No; Intelidat works with your existing systems, helping you understand what you already have, where the gaps are, and what kind of changes or additions would deliver the greatest benefit.
Q: How does this relate to our existing analytics and reporting?
Existing reports show what has happened; Intelidat focuses on improving the underlying information and structures so you can predict what might happen and simulate the impact of potential decisions.
Practicalities, Pricing and Next Steps
Q: Where is Intelidat based and which regions does it serve?
Intelidat is based in Mursley, England, and works primarily with UK‑based organisations, with the ability to support international clients where remote engagement is appropriate.
Q: How is pricing structured?
Pricing is typically based on the scope and duration of the engagement, with smaller fixed‑price diagnostics and workshops available alongside longer advisory or implementation projects.
Q: How do we know if we are ready for AI or a digital twin project?
If you have critical processes that rely heavily on manual work, inconsistent reports or disagreement about “what the numbers mean”, an initial readiness or discovery session will clarify whether AI or a digital twin is the right next step.
Q: How can we get started or ask a question that is not covered here?
You can contact Intelidat via the website contact options or book a confidential call using the scheduling links provided on the main site and service pages.
Key terms and definitions
Q: What is a Digital Twin?
A digital twin is a virtual model of a real‑world object, system or process that stays in sync with reality using data, so you can observe, analyse and simulate behaviour without disrupting day‑to‑day operations.
Q: What is a Digital Twin of an Organisation (DTO)?
A Digital Twin of an Organisation, often shortened to DTO, is a dynamic software model of how an organisation actually runs, built from operational and contextual data so leaders can see, test and improve the way the whole enterprise works.
Q: What is Enterprise AI?
Enterprise AI is the application of AI technologies such as machine learning and natural language processing across an organisation’s core processes and decisions, rather than in isolated tools, to improve efficiency, insight and responsiveness.
Q: What is an information strategy?
An information strategy is a long‑term plan for how an organisation will manage and use its information and data to achieve business goals, balancing access, quality, protection and governance.
Q: What is meant by “intelligent data”?
Intelligent data is business information that is accurate, well‑structured, contextual and connected enough that people and AI systems can reliably use it for decision‑making, automation and modelling.
Q: What is a digital business “brain”?
A digital business brain is the combination of models, data, structures and tools that together give an organisation a living picture of how it is performing, what might happen next and how different decisions are likely to play out.
Q: What is a data or information “foundation” for AI?
An information foundation for AI is the set of data structures, integration, governance and quality controls that ensure AI systems are working from trustworthy, up‑to‑date and well‑understood information.
Q: What is a discovery or readiness session?
A discovery or readiness session is a structured conversation that assesses your current information, systems, processes and priorities so you can decide whether to proceed with an AI, information strategy or digital twin initiative and where to focus first.