AI automation for Manchester businesses

There is a lot of AI activity in Manchester right now. Most of it is no-code flow builders, GPT wrappers, or consultancies reselling off-the-shelf tools with a local postcode. We are none of those things.

We are engineers who build custom AI systems: agents that take actions, pipelines that process documents at scale, systems that integrate with the tools your team already uses. When we say AI automation Manchester, we mean software that your team will actually rely on - with evals, observability, and a handover you can maintain.

Our work spans document intelligence, enquiry routing, classification systems, and LLM-powered workflows. We have built for medico-legal platforms, professional services firms, and businesses with high-volume repetitive processes that are currently eating staff time. We are equally comfortable being described as an AI agency Manchester, a machine learning consultancy UK, or an AI consultancy Manchester - the label matters less than whether we can actually solve the problem.

The problem

A Manchester professional services firm was receiving over 60 enquiries per day across email and a web form. Each enquiry needed to be read, categorised by type, matched to an account or matter if one existed, and then either responded to with standard information or forwarded to the right person with context attached.

In practice, two members of the team were spending around 2 hours every morning working through the overnight and early queue before they could get to anything else. Wrong routing happened often enough to be tracked: an enquiry sent to the wrong team, picked up late, or answered with the wrong context attached. The process also had no memory - every triage decision was made fresh, even for repeat contacts.

What we built

The agent reads each incoming enquiry, classifies it against the firm's enquiry taxonomy, and checks whether the sender matches an existing account or matter in their system. For routine enquiry types, it drafts an initial response and flags it for a 30-second human review before sending. For anything that needs a specialist, it routes to the right person and attaches a structured summary - who sent it, what they are asking, relevant account context, and a suggested priority.

The classification model was fine-tuned on three months of historical enquiries with team-verified labels. Wrong-routing rate is tracked weekly as a primary quality metric. The agent integrates directly with their existing inbox and case management system - no new tools for the team to learn.

Results

Triage time dropped from roughly 2 hours per day to around 15 minutes of reviewing what the agent has prepared. The wrong-routing rate - tracked every week against the old manual baseline - sits consistently under 4%. The team's assessment is that the remaining errors are cases where a human would also have made the same call given the information in the enquiry.

Working with Manchester businesses

The North West tech scene is genuinely strong - Media City, the NOMA cluster, a dense network of professional services, legal, and financial businesses, and universities producing good engineering talent. There is real appetite for AI automation here, and increasingly real use cases to match.

We work async-first, which means a client in Salford or Preston gets the same quality of communication as one in the same building. For clients who prefer face-to-face at any point in the project - scoping, review, handover - we are happy to meet in person. Manchester is home.

What we will not do is sell you AI automation Manchester that looks good in a pitch and does not survive contact with your actual data. Our projects start with a scoping conversation about your real inputs, your current failure modes, and what good looks like in production. If the problem is not a good fit for AI, we will tell you that before you have spent anything.