# AI agency in London — survey of your ten systems within 72 hours > AI agency in London: financial services, law firms, retail and e-commerce head offices, property. We survey your ten systems, put a figure on what each one costs, and open the one with the shortest payback. **Version HTML :** https://agence-intelligence-artificielle.eu/en/ai-agency-london **Langue :** en-GB --- AI agency · Greater London # AI agency in London London concentrates head offices : banks, brokers and insurers in the City and at Canary Wharf, law firms around the Temple, the head offices of retailers and online brands, property companies. The task that costs here is not on a shop floor — it is the report assembled by hand every Monday from five tools, and the inbound enquiry that waits three days. 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. [Request the survey](https://agence-intelligence-artificielle.eu/en/contact) - **The City and Canary Wharf** banks, brokers, insurers - **The Temple and the City** law firms and chambers - **Head offices** retail, online brands, property - **The rest of the country** the survey is on site, the rest remote ![London from above at dusk: the towers of the City, the Walkie-Talkie and the Cheesegrater above the older streets](https://agence-intelligence-artificielle.eu/assets/img/villes/london-1000.webp) *London from above — the City, the Walkie-Talkie and the Cheesegrater at duskPhoto [Ollie Craig](https://www.pexels.com/@olliecraig1) — Pexels* The local fabric ## 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. 01 ### Banking, insurance and financial services **Application processing, missing documents, first-line answers.** An incomplete file sleeps for ten days before anyone notices a document is missing. The customer thinks it is moving — and calls, three times. No decision, no decline, no advice is produced by an agent. It chases documents, that is all. [AI for banking](https://agence-intelligence-artificielle.eu/en/ai-banking) 02 ### Law firms and in-house legal teams **Preparing the reading of contracts, building files, monitoring.** An eighty-page contract arrives. An hour of preparation — structure, cross-references, deviations from the template — for an hour of useful, billable reading. The first hour is not billed. No legal opinion, ever. The agent flags a deviation from the template ; whether the deviation is acceptable stays with the lawyer. [AI for legal teams](https://agence-intelligence-artificielle.eu/en/ai-legal) 03 ### Retail, e-commerce and brands **Customer service, returns, multilingual product pages, replies to reviews.** London head offices run stores in five languages. The same question arrives three hundred times a week, and the German product page is six months behind. No refund or goodwill gesture decided by the agent, and no review written in a customer’s place. [AI for e-commerce](https://agence-intelligence-artificielle.eu/en/ai-ecommerce) 04 ### Property and estate management **Inbound enquiries, tenant files, listings, viewings.** Forty portal enquiries a day, five who want to view, nobody to call them back. And behind it, a tenant file waiting on a payslip while the flat stays empty. No tenant selected, no property valued by an agent. The sort is about the project, never the person, and the log proves it. [AI for real estate](https://agence-intelligence-artificielle.eu/en/ai-real-estate) Those four do not cover everything : London also has agencies, software companies and sales teams for whom [AI for sales teams](https://agence-intelligence-artificielle.eu/en/ai-sales) describes Thursday evening’s lead. The survey starts from your business, not from a list. We are also called here for : [AI for insurance](https://agence-intelligence-artificielle.eu/en/ai-insurance), [AI for hospitality](https://agence-intelligence-artificielle.eu/en/ai-hospitality), [AI for recruitment](https://agence-intelligence-artificielle.eu/en/ai-recruitment), [AI for HR](https://agence-intelligence-artificielle.eu/en/ai-hr), [AI for solicitors](https://agence-intelligence-artificielle.eu/en/ai-solicitors), [AI for conveyancing](https://agence-intelligence-artificielle.eu/en/ai-conveyancing). A case — a scenario, not a real client ## A professional services firm of eighty people A head office near Farringdon, three teams, five tools — CRM, accounts, support, HR, project management — and a management meeting every Monday at 9. The task that cost : **Assemble the weekly management report.** Before *1* **What comes in** On Friday afternoon, one person exports five tables, pastes them into a deck, and writes the commentary from memory. *2* **What happens** The CRM figures do not match the accounts figures, nobody knows why, and the meeting spends twenty minutes arguing about them instead of deciding. *3* **What it costs** One day a week for one person, a meeting that discusses the numbers instead of drawing decisions from them, and a report already three days old when it is read. After *1* **What we surveyed** Five tools that all export, and no shared definition of what ‘a signed deal’ is. The problem was not the data entry, it was the definition. *2* **What we opened** An agent reads the five exports every Sunday evening, produces the note in your format, every figure pointing to its source, and flags the gaps between tools instead of smoothing them. The director reviews it on Monday at 8. *3* **The measured gap** The note is ready on Monday at 7, with its sources. The meeting no longer argues about where the numbers come from — it decides. **What we did not do** The agent interprets nothing and smooths no gap : when the CRM and the accounts diverge, it says so, with both figures. A report that rounds off the corners makes bad decisions faster. 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. The circuit ## 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. **The method, in one sentence** Ten systems, one survey, one system opened at a time — the one with the shortest payback. [Read the full method](https://agence-intelligence-artificielle.eu/en/#methode), or go back to the [AI agency](https://agence-intelligence-artificielle.eu/en/) page. The figures for this case ## 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. **Today, changing nothing** - Time preparing the report : **one day a week** - Age of the figures at the meeting : **3 days** - Meeting time spent arguing about the figures : **15 to 30 minutes** - Gaps between tools explained : **rarely** - Figures traceable to their source : **almost never** **The management system, opened** - Time preparing the report : **30 to 60 minutes of review** - Age of the figures at the meeting : **a few hours** - Meeting time spent arguing about the figures : **0 to 5 minutes** - Gaps between tools explained : **flagged every time** - Figures traceable to their source : **all, in one click** Questions we get here ## What we are asked before we start. ### We already have a BI tool. Why doesn’t it work ? Because the BI tool shows figures, it does not explain them. What the meeting wants is the note : what moved, why, and where to look. The agent writes it from your tools, BI included — it does not replace them. ### Our management data is sensitive. Where does it go ? Into a perimeter you control, set in the workshop before any use. Nothing is used to train a model, access is named, and the log shows who read what. It is the first decision, not the last. ### 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. For the report, it is usually the shared definition of the indicators that takes the time — not the technology. ### You are based in France. Do you come to London ? Yes, for the survey workshop : we need to see the screens and the tools. The rest is run remotely, with a weekly call. London and the South East are covered without travel surcharge. Around London ## Our other locations in the United Kingdom. [**Manchester**AI agency in Manchester](https://agence-intelligence-artificielle.eu/en/ai-agency-manchester)[**Birmingham**AI agency in Birmingham](https://agence-intelligence-artificielle.eu/en/ai-agency-birmingham)[**Edinburgh**AI agency in Edinburgh](https://agence-intelligence-artificielle.eu/en/ai-agency-edinburgh)[**Bristol**AI agency in Bristol](https://agence-intelligence-artificielle.eu/en/ai-agency-bristol) [**All locations**see the full map](https://agence-intelligence-artificielle.eu/en/locations) First call — fifteen minutes ## 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. [Request the survey](https://agence-intelligence-artificielle.eu/en/contact) [Write to the agency](https://agence-intelligence-artificielle.eu/en/contact)