Why Does It Take So Long to Produce a Quotation?
Why manufacturing quotations take days when the work takes hours, and a practical way to investigate queues, missing information and decisions before investing in AI.
Read articleInsights
Articles
Longer arguments, analysis and practical thinking.
The Information Factory: Why Manufacturing Improvement Shouldn't Stop at Production
The hidden information work behind quotations, approvals and orders may be limiting manufacturing performance. Learn how to investigate it.
Read articleThe Industrial Revolution of the Information Factory
What Huddersfield’s textile heritage reveals about AI, information work and improving manufacturing organisations.
Read articleWhy manufacturing businesses spend so much time moving information between systems
Why do manufacturing teams spend so much time checking, re-entering and chasing information? A closer look at workflows, systems and the work between them.
Read articleBefore you introduce Microsoft Copilot, get your information in order
Preparing for Microsoft 365 Copilot? Understand why information quality, SharePoint, permissions and working practices matter before adoption.
Read articleWhere human judgement belongs in an AI workflow
Why manufacturing businesses need to identify consequential decisions, evidence and authority before introducing AI into operational work.
Read articleWhy Copilot does not fix broken processes
Why Microsoft 365 Copilot often disappoints manufacturing SMEs whose information remains on network drives, and what that reveals about how their work is organised.
Read articleWhat the Workflow AI Readiness Sprint actually produces
A proposed short diagnostic engagement that examines one business workflow and identifies evidence-led improvements before committing to AI implementation.
Read articleNon-conformance triage: a worked manufacturing example
An illustrative manufacturing workflow showing how AI might assemble evidence for a quality decision without taking responsibility for disposition.
Read articleHow to find the AI-ready workflows in your business
A practical way to investigate how work happens in a manufacturing SME and decide where AI, automation or simpler changes might help.
Read articleStop looking for AI use cases
Searching for AI use cases starts with the technology. A better approach is to find valuable work that causes problems, understand what is really happening, and use AI to help investigate before deciding what should change.
Read articleDesign the work before you divide it
Once you understand how work actually happens, do not simply allocate the existing tasks between people and technology. Redesign from the outcome, decide what work is genuinely necessary, and only then determine where people, conventional automation and AI belong.
Read articleThe process map is not the work
The documented process is only part of how work gets done. Employees often compensate for gaps through checking, chasing, correcting and judgement — activity managers need to understand before deciding what to improve or automate.
Read articleBefore You Automate, Understand the Work
Automation works best when it follows a clear understanding of how work really happens, including the judgement, exceptions and friction hidden by the formal process.
Read articleWho manages the AI workers?
As businesses adopt AI agents, who manages their work? Explore agentic AI governance, delegation, human oversight and organisational accountability.
Read articleWhy AI should work on the business, not just in it
AI can do more than perform existing work. It can help organisations examine how work actually happens before deciding what should be changed or automated.
Read articleAI on the Business — Organisational Inquiry Prompt v1.0
A practical prompt for using generative AI to investigate how a piece of organisational work actually operates before deciding how it should be improved.
Read articleReveal how your work
really works.
A first conversation is free. Start with a defined project, or discuss whether an optional diagnostic or review would help clarify the right next step.