AI agency in Manchester
Manchester makes and moves things : precision manufacturing and advanced materials, the head offices of online retailers, the logistics of Trafford Park, and a professional services quarter around Spinningfields. The task that costs here changes with the season — in November, it is the return request that waits two days while the customer service team doubles and still answers late. We survey your ten systems, put a figure on what each one costs you, and open only one. The survey is free and delivered within 72 hours.
The tasks we remove first in this area
Four sectors, four tasks that cost.
A city page is worth nothing if it could be the page of the next city over. Here are the sectors we are most often called for here, the task that keeps coming back in each, and the limit we set from the start.
Manufacturing and advanced materials
Quoting, service reports, customer audits, technical documentation.
A request for quotation arrives with a drawing. The estimator reopens comparable jobs from memory, one by one. Three to five days to answer a buyer who has asked five workshops.
No technical specification is validated by the agent. It finds, pre-fills and cites ; the estimator decides.
Online retail and brands
Customer service, returns, product pages, replies to reviews.
A return, a size question, a spare-part request — three hundred times a week, in five languages, with a November peak. The customer service team answers the same thing three hundred times.
No refund or goodwill gesture decided by the agent, and no review written in a customer’s place.
Logistics and distribution
Receiving discrepancies, dock bookings, availability enquiries.
Three pallets announced, two received, a delivery note that says something else — and someone spending the afternoon reconstructing what happened, while the docks wait.
No stock, no date, no priority committed by the agent. It says what the WMS said at the time it read it.
Professional services
Lead qualification, proposals, follow-ups, CRM.
A lead arrives on Thursday evening and is called back on Monday. In the meantime the prospect has had two other answers. Half of every day is spent not selling.
No discount, no price, no commitment produced by the agent. It prepares everything up to the price ; the rep sets it.
Those four do not cover everything : Greater Manchester also has a dense construction sector, hospitals and device makers, and a large hospitality trade. The survey starts from your business, not from a list.
We are also called here for : AI for transport, AI for construction, AI for healthcare, AI for hospitality, AI for banking, AI for insurance, AI for real estate, AI for legal teams, AI for recruitment, AI for conveyancing, AI for accountants.
An online retailer of forty people
Clothing and accessories sold in five languages, a head office near Ancoats, a customer service team of six that doubles every November. The task that cost : Handle return requests.
Three hundred return requests a week in season, in five languages, most of them within the thirty-day policy.
An agent reads each one, checks the order date, checks the conditions, generates the label, writes the reply — ten minutes each, for a decision that was never in doubt.
A first reply in one to three days in November, temporary staff trained for two weeks to do what the policy already says, and customers who open a dispute with their card issuer while they wait.
A clear returns policy, an order system that knows every date, and a helpdesk where every request was read by a human before anyone knew whether it needed one.
An agent reads the request, identifies the order, checks the date and the conditions, and — within the policy — prepares the label and the reply and records the return. Anything outside the policy goes to a person with the history attached.
Requests within the policy are answered in minutes, in the customer’s language. The team only sees the cases that need a team.
The agent never refunds by exception and never makes a goodwill gesture : the moment a request leaves the policy, it hands over. Being kind on your behalf is not a task we automate.
This case is a working scenario, built from tasks we meet in this area. It is not the engagement of an identifiable client, and no figure above is presented as a result measured at a third party.
What the machine does, step by step.
There is nothing magical about an automation scenario : it is a sequence of steps you can read, stop and correct. Here is the one for the case above, in the order it runs.
Schematic drawing. The real scenario is built in your automation tool and stays editable by you.
Ten systems, one survey, one system opened at a time — the one with the shortest payback. Read the full method, or go back to the AI agency page.
What the closed system costs, what the open system returns.
Ranges, not promises : the real gap depends on your volumes and the state of your documents. That is exactly what the survey measures before we commit.
What we are asked before we start.
Our customers write in five languages. Does it cope ?
That is the general case for brands here. The agent reads the request in its language, works on your policy in English, and replies in the customer’s language. The review stays in yours.
Won’t customers feel they are talking to a machine ?
Mostly they feel they got their label in ten minutes instead of two days. The reply is signed by the team, says which condition applies, and offers a person in one line.
How long before it is useful ?
The survey of the ten systems is delivered within 72 hours. Opening the first system takes two to six weeks. Ideally before October, so it runs when you no longer have time to think about it.
You are based in France. Do you come to Manchester ?
Yes, for the survey workshop : we need to see the screens and the tools. The rest is run remotely, with a weekly call. Greater Manchester and the North West are covered without travel surcharge.
Our other locations in the United Kingdom.
We will tell you which system to open first.
Describe the task that costs you the most. We will tell you what is feasible, how long it takes and what it costs. If the answer is no, you will leave with the two reasons why.