Make AI useful inside the business, not just impressive in a demo.

An AI consultant helps turn a broad ambition into a specific business decision. I look at the user, task, information, current systems, expected value, risks and suitable human review. The outcome may be a prioritised use case, a working prototype, an AI-assisted product feature, a controlled workflow automation or a recommendation not to use AI for that task.

Yes. I am based in Greater Manchester and work with businesses across Manchester, the wider city region and the United Kingdom. Most analysis, prototyping and development can be delivered remotely, with on-site workshops and process sessions across Greater Manchester where meeting the team improves the evidence.

No. I do not present a registered or virtual address as a staffed customer-facing office. I work remotely and arrange suitable sessions at your workplace or another agreed location across Manchester and Greater Manchester when the engagement benefits from meeting in person.

This service begins with a proposed AI opportunity or the need to identify one. The wider software and AI consultancy service is for an operation where the answer may be process change, better use of current software, an integration, ordinary automation, bespoke software or AI. Both routes keep the business problem ahead of the technology.

My strongest work is applying established AI models and services inside practical business software, document processes, knowledge tools and operational workflows. I do not present myself as a specialist research data scientist or promise custom model training where that expertise is required. If a use case genuinely needs specialist machine learning research, computer vision or regulated clinical modelling, I will make that boundary clear and recommend suitable additional expertise rather than overstating my role.

Yes, where there is a clear user task and a sensible way to evaluate the output. Useful examples include document extraction, classification, assisted drafting, case summaries and retrieval from approved internal knowledge. The feature still needs permissions, test cases, usage controls, logs, failure handling and a clear route to a person when the answer is uncertain.

You need representative information and permission to use it, but it does not need to be perfect before the first conversation. Part of the consultancy is understanding where the information lives, whether it is reliable enough, what must be anonymised and whether improving the source process would create more value than adding an AI layer.

Access should be limited to what the agreed work requires. A proposed system needs clear rules for permissions, providers, storage, retention, logs and human review. Early prototypes normally use sample, anonymised or synthetic information unless there is a justified and agreed reason to use controlled business data.

Yes. A focused prototype can test the main user journey and the uncertain AI task using representative examples. It is a decision tool rather than production software. A separate production phase would cover hardened security, accessibility, scale, monitoring, support, live integrations and the operational controls needed for everyday use.

Yes, where I am the right fit. I can continue into requirements, a working prototype, API integration, AI workflow automation or bespoke web application development. The consultancy and later build remain separate decisions, so the first work should still be useful if your business stops there or uses another suitable delivery team.