# AI agency in Cambridge — survey of your ten systems within 72 hours > AI agency in Cambridge: medtech and biotech, software firms, engineering, professional services. We survey your ten systems, quantify what each one costs and open the one with the shortest payback. **Version HTML :** https://agence-intelligence-artificielle.eu/en/ai-agency-cambridge **Langue :** en-GB --- AI agency · East of England # AI agency in Cambridge Cambridge researches and regulates : medical device and biotech companies on the science parks, software firms spun out of the university, engineering consultancies, and the professional services around them. Every device, every trial, every product lives under a regulation that changes — and someone is supposed to be reading it. The task that costs most here is the regulatory watch : the guidance that was updated four months ago, discovered the week before the audit. We survey your ten systems, quantify what each one costs you, and open only one — without ever touching the clinical. The survey is free and delivered within 72 hours. [Request the survey](https://agence-intelligence-artificielle.eu/en/contact) - **Medtech and biotech** devices, diagnostics, labs on the science parks - **Software** spin-outs and scale-ups from the university - **Engineering** consultancies that design for the world - **Regulation** MHRA, MDR, ISO 13485 — requirements that move ![Cambridge: King's College Chapel and the bicycles lined up in front of it](https://agence-intelligence-artificielle.eu/assets/img/villes/cambridge-1000.webp) *Cambridge — King's College ChapelPhoto [Cara Denison](https://www.pexels.com/@cara-denison-886614634) — 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 ### Medtech, biotech and healthcare **Regulatory watch, audit preparation, supplier questionnaires, technical documentation.** A guidance document is updated in March. The quality team learns about it in July, the week before the notified-body audit, from the auditor. No patient data passes through, no clinical decision is approached. The organisation's documents — never the patient's — and every regulatory document goes through a responsible person. [AI for healthcare](https://agence-intelligence-artificielle.eu/en/ai-healthcare) 02 ### Software firms and sales teams **CRM updates from meeting notes, follow-ups, proposals, lead qualification.** A rep comes out of a good meeting with two pages of notes. The CRM is updated a week later — or never — and the follow-up promised for Tuesday goes out the following Monday. No discount, no price, no commitment produced by the agent. It writes up and schedules ; the rep sends. [AI for sales teams](https://agence-intelligence-artificielle.eu/en/ai-sales) 03 ### Engineering consultancies **Supplier questionnaires, customer audits, technical documentation, quoting.** A client sends its annual supplier questionnaire : forty questions, thirty of which were answered last year, in a file nobody can find. No specification validated by the agent. It retrieves, pre-fills and cites ; the quality manager decides. [AI for manufacturing](https://agence-intelligence-artificielle.eu/en/ai-manufacturing) 04 ### Professional services **Preparing contract review, assembling files, keeping up with changes.** A licensing agreement of eighty pages arrives. One hour of preparation — structure, cross-references, departures from the precedent — for one hour of billable reading. No legal advice, ever. The agent flags a departure from the precedent ; whether it is acceptable stays with the solicitor. [AI for legal teams](https://agence-intelligence-artificielle.eu/en/ai-legal) Those four do not cover everything : Cambridge also has letting agents for whom [AI for real estate](https://agence-intelligence-artificielle.eu/en/ai-real-estate) describes the portal enquiry nobody calls back, banks, insurers, hospitality and logistics. The survey starts from your business, not from a list. We are also called here for : [AI for real estate](https://agence-intelligence-artificielle.eu/en/ai-real-estate), [AI for banking](https://agence-intelligence-artificielle.eu/en/ai-banking), [AI for insurance](https://agence-intelligence-artificielle.eu/en/ai-insurance), [AI for hospitality](https://agence-intelligence-artificielle.eu/en/ai-hospitality), [AI for logistics](https://agence-intelligence-artificielle.eu/en/ai-logistics), [AI for pharmacies](https://agence-intelligence-artificielle.eu/en/ai-pharmacies). A case — a scenario, not a real client ## A medical device company of fifty people A class IIa device sold in the UK and the EU, a quality and regulatory team of three, a technical file in two regulatory frameworks, and forty procedures that cite standards and guidance documents. The task that cost : **Keep the regulatory watch: read the designated sources and flag what affects your procedures.** Before *1* **What comes in** Updates from three regulators, two standards bodies and a notified body — newsletters, PDFs, web pages — several a week, most of them irrelevant, a few of them critical. *2* **What happens** The regulatory lead reads what she can on Friday afternoon, flags what she recognises, and misses what she does not have time for. One to three changes a year are discovered late — by the auditor, or by a customer. *3* **What it costs** Two to three hours a week of a senior person on reading, procedures that cite superseded guidance, and findings at audit that were avoidable four months earlier. After *1* **What we surveyed** The procedures cited every standard and guidance document they relied on — by name and version. Nobody had ever listed them in one place. *2* **What we opened** A list of the sources and of the documents each procedure cites, first. Then an agent that reads every update from the designated sources, matches it against that list, and flags what affects a procedure — with the exact excerpt, the date, and the procedure concerned. Nothing else reaches the team. The regulatory lead reads the flags, interprets, and decides. *3* **The measured gap** A relevant change is flagged the week it is published, not four months later. The regulatory lead reads ten minutes of flags a week instead of three hours of newsletters — and interprets, which only she can do. **What we did not do** The agent never interprets a regulation and never updates a procedure : it flags that something changed, quotes it, and names the procedure concerned. What it means and what to do stay with the regulatory lead — and every regulatory document goes through her before it is used. 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** - Senior time per week on reading updates : **2 to 3 hours** - Relevant changes discovered late : **1 to 3 a year** - Delay between publication and awareness : **weeks to months** - Procedures citing superseded guidance : **some, found at audit** - Audit findings on regulatory currency : **1 to 3 per audit** **The regulatory watch system, opened** - Senior time per week on reading updates : **10 minutes of flags** - Relevant changes discovered late : **none — flagged the week they appear** - Delay between publication and awareness : **days** - Procedures citing superseded guidance : **flagged on publication** - Audit findings on regulatory currency : **0 to 1** Questions we get here ## What we are asked before we start. ### Do you touch clinical or patient data ? No, and it is written into the quote. The agent reads regulators' publications and your procedures — never a patient record, never clinical data. Technically it has no access ; it is not only an instruction. ### Flagging a change — isn't that already an interpretation ? No : « this guidance was updated on this date and your procedure 12 cites it » is a fact, checkable in one click. What the change means for your device is the interpretation — and the agent never makes it. ### 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 watch, listing what your procedures cite is what takes the time — not the technology. ### You are based in France. Do you come to Cambridge ? Yes, for the survey workshop : we need to see the screens and the tools. The rest runs remotely, with a weekly call. Cambridge and the East of England are covered with no travel surcharge. Around Cambridge ## Our other locations in the United Kingdom. [**London**AI agency in London](https://agence-intelligence-artificielle.eu/en/ai-agency-london)[**Birmingham**AI agency in Birmingham](https://agence-intelligence-artificielle.eu/en/ai-agency-birmingham)[**Leeds**AI agency in Leeds](https://agence-intelligence-artificielle.eu/en/ai-agency-leeds)[**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)