--- title: "AI consultancy in Manchester that builds" description: "AGMM is a UK AI consultancy for £1m to £50m businesses. We find where time and margin leak across every department, then build the systems that win them back." canonical: https://agmm.co.uk/ updated: 2026-10-13 updated_basis: build date; the page states no review date publisher: AGMM (https://agmm.co.uk/about/agmm.json) lang: en-GB --- # Your whole business,running better on AI. AGMM is a UK AI consultancy for businesses turning over £1m to £50m. We map where time and money leak across every department, from month-end to onboarding to customer service, then build the systems that win them back. It starts with a free 30-minute fit call and a fixed £2,000, 14-day audit. [Book a free 30-minute fit call](https://agmm.co.uk/ai-constraint-audit/#book) [See the £2,000 audit](https://agmm.co.uk/ai-constraint-audit/) Illustration: a typical business today, its work scattered by department across spreadsheets, inboxes, WhatsApp groups, a half-filled CRM, sticky notes and the heads of a few key people. A typical £1m to £50m business, illustrated: twelve departments and the work scattered between them. Organised ## Every department, one structure. The same work, filed. Each department gets one place for its records, one version of every number and an owner for every task. Nothing lives in a head or an inbox any more. Under the hood it is folders, files and links, organised properly. We draw them so you can see what a well-run business looks like inside. Running ## The work runs. Your people make the calls. Agents do the repeatable work in every department, to your rules, and a person checks anything that leaves the business. What is left is lit in gold: the few decisions that need judgement. Demonstration of our real architecture. Timings compressed. 1. ### Leadership Filed as: Decisions log · Board pack · Priorities Runs by itself: Board pack assembled from live numbers **Your call:** Price the big tender 2. ### Sales Filed as: Enquiries · Pipeline · Proposals Runs by itself: Every enquiry answered inside minutes 3. ### Marketing Filed as: Ads · Campaigns · Content Runs by itself: Thousands of ad creatives scored for fit 4. ### Operations Filed as: Schedule · Job packs · Handovers Runs by itself: Schedule rebuilt when a job moves 5. ### Customer service Filed as: Cases · Policies · Aftercare Runs by itself: Every message answered with the full history **Your call:** Goodwill for a key account 6. ### Finance Filed as: Month-end · Invoices · Receipts Runs by itself: Bank lines matched overnight 7. ### People Filed as: Onboarding · Training · HR records Runs by itself: New starters ready before day one **Your call:** Make the hire 8. ### Suppliers Filed as: Orders · Stock · Terms Runs by itself: Stock watched against reorder points 9. ### Custom systems Filed as: Your logic · Integrations · Docs Runs by itself: Your own rules, running as a system 10. ### Customer data Filed as: Records · History · Consent Runs by itself: Every department writes to one record **Your call:** Choose which customers to grow 11. ### Knowledge Filed as: How we work · Lessons · Answers Runs by itself: Every answer written once and reused 12. ### Privacy and security Filed as: Policies · Requests · Access Runs by itself: Data requests answered inside the deadline - Board pack ready - Enquiries answered - Month-end closed - New starters ready - Complaints settled - Data requests answered What it means for you ## Hours back, margin kept, no new hires. That story was your business. When the work is organised and the repeatable parts run on their own, you feel it in three places: more profit from the same team, faster answers for your customers and room to grow without hiring to keep up. ### Stop paying skilled people to retype. FinanceBank lines matched overnight, chasers sent on the day they fall due **Skilled people lose hours to admin.** Month-end figures retyped into the board pack, invoices chased by hand, the same detail entered into three systems that never agree. The hours go back into work that earns. Stop paying for friction. Start building capacity. ### Answer while the customer still cares. Customer serviceEvery message answered with the full history, the same day **Customers wait in the queue.** Enquiries, complaints and approvals sit in inboxes because information is missing or nobody owns the next step. The enquiry is answered while the customer still cares, and the complaint is settled before it becomes a review. ### Grow without hiring to keep up. PeopleA starter pack per role, ready before day one **Every new hire slows the team first.** New starters wait a week for logins, and the know-how lives in two people’s heads, so growth means more chasing, not more output. Capture information once and move it forward automatically. Keep people in control of the decisions. What is draining capacity What drives the business forward 1. **Information scattered everywhere** Teams work across inboxes, spreadsheets and systems that never agree. **One source of truth** The right information is captured once and follows the work. 2. **The same detail entered again** Good people repeat work that should have been captured once. **Routine work moves itself** Automation and AI handle repeatable steps to your rules. 3. **The day spent chasing** Updates, approvals and mistakes create a queue around every job. **People own the decision** Your team steps in only where judgement or approval matters. The economics decide what deserves to be built. AI is useful when it removes valuable repeatable work safely. Sometimes the right first move is a process fix, an existing system or no build at all. If the answer is not to build, we say so. 71% of surveyed UK businesses selected a lack of identified need or use case as an adoption barrier (DSIT AI Adoption Research). Separately, 44% of US work hours fall within demonstrated software-agent capabilities (McKinsey Global Institute, Nov 2025): technical potential, not a forecast of UK adoption or job losses. Department by department ## The whole business, not just the marketing. Every £1m to £50m business has the same twelve departments, and each one leaks time and money in its own way. Choose yours to see what it looks like today, organised, and running, with one real example walked through from start to finish. Every department, as most £1m to £50m businesses run today: inboxes, spreadsheets, WhatsApp groups, sticky notes and the know-how in people’s heads. Where the decisions land Leadership and decisions Priorities, the board pack, the calls only owners make Board pack v9 FINAL.pptx Numbers from three places Ready Thursday, maybe **Board pack** : built Monday from live numbers Q4 priorities? hire ops mgr new site?? fix cash **Priorities** : one page, owner per line WhatsApp: Directors41 Can we afford the second van? **Decisions log** : what, why, who, when Re: Re: the Hartley tenderWho is pricing this? 9 **Big bids** : margin view per bid Runs by itself - Board pack assembled from live numbers - Every decision logged with its reasons - Risks surfaced before the meeting Your call Price the big tender Win and deliver the work Marketing Ads, campaigns, the website, content Meta Ads Manager 3 campaigns live Last checked: Tuesday **Ads** : every creative scored and tracked post something this week!! **Content** : one line of the plan campaign ideas (old).docx Spring offer? Ask Jo about the logo **Campaigns** : brief, budget, results Runs by itself - Thousands of ad creatives scored for fit - Budget moves to what is working - Content posted on five platforms Your call Approve the new offer Sales Enquiries, pipeline, proposals, follow-up CRM: Leeds enquiry CompanyBramley Ltd Stageempty Next stepempty **Pipeline** : every deal, stage and next step New enquiry: 40 staffSent 3 days ago 1,284 **Enquiries** : answered and logged call back Sarah (which Sarah?) **Follow-ups** : dated, owned, sent Runs by itself - Every enquiry answered inside minutes - Follow-ups sent on the day they are due - Proposals drafted from the call notes Your call Price the big proposal Operations and delivery Scheduling, jobs, the work itself Rota (week 41) Mon: Dave + ? Tue: van in garage Wed: ?? **Schedule** : live, by crew and day WhatsApp: Ops team34 Has anyone got the job sheet? **Job packs** : one per job, complete Job #2417 sheet Site visit Thu Materials: see email **Handovers** : checklist per stage Runs by itself - Schedule rebuilt when a job moves - Job packs assembled before the crew leaves - Customers told when plans change Your call Move a job for a key client Customer service Complaints, questions, aftercare, retention Re: Re: Re: still waitingThird time asking... 312 **Cases** : one per customer issue Mrs Patel rang twice, not happy **Call notes** : on the customer record Refunds?? policy.doc Depends who you ask **Policies** : refunds, goodwill, escalation Runs by itself - Every message answered with the full history - Refunds inside policy settled the same day - Unhappy customers flagged before they leave Your call Goodwill for a key account Run the company Finance Month-end, invoicing, cash collection, forecasting Month-end v7 FINAL (2).xlsx **Month-end** : September, reconciled INV-0193 14 days overdueChase? Who chased? 27 **Invoices** : by customer, with chasers Receipts (Sept) unmatched **Receipts** : matched to bank lines Runs by itself - Bank lines matched overnight - Payment chasers sent on the day they fall due - Cash forecast refreshed every morning Your call Write off a large debt People HR, onboarding, training and educating staff Onboarding checklist lives in Karen’s head **Onboarding** : starter pack per role Training 2019 Health and safety **Training** : assigned, tracked, refreshed holidays_2026.xlsx **HR records** : one place, access controlled Runs by itself - New starters ready before day one - Training assigned and followed up - Questions answered from the handbook Your call Make the hire Suppliers and procurement Buying, stock, supplier terms PO 4471 Approved by: ? Price: as last time **Orders** : approved, matched, received We have run out of 22mmUrgent, site waiting 6 **Stock** : reorder points per item Price list 2024.pdf Probably still right **Suppliers** : terms and prices, current Runs by itself - Stock watched against reorder points - Supplier prices compared on every order - Invoices checked against what arrived Your call Switch the main supplier Custom systems The bespoke parts generic software cannot fit MASTER_do_not_touch.xlsm **Your pricing logic** : a system, documented only Dave understands the macro **How it works** : written down Zapier: 14 zaps 3 failing since June **Integrations** : monitored, owned Runs by itself - Your own rules, running as a system - Integrations watched and repaired - Every change tested before it ships Your call Decide what to build next The foundations every department reads Customer data One true record of every customer customers_FINAL.xlsx **One record per customer** customers_final_v2.xlsx **History** : every order, job, message Mailchimp export.csv 4 versions of Bramley Ltd **Consent** : who agreed to what Runs by itself - Every department writes to one record - Duplicates merged as they appear - Each customer’s value and risk kept current Your call Choose which customers to grow Knowledge and learning How you do things, written down and searchable How we price it in Mike’s head **How we work** : every process, written New Folder (14) Shared drive **Lessons** : what each job taught us Wiki: last edited 2021 Probably out of date **Answers** : searchable, with sources Runs by itself - Every answer written once and reused - Lessons filed after every job - Agents read it before they act Your call Sign off a new process Privacy and security Data protection, access, compliance GDPR 2018 Compliance folder **Policies** : current, reviewed Subject access request30-day deadline ! **Requests** : logged and answered on time Passwords.xlsx **Access** : who can see what, logged Runs by itself - Data requests answered inside the deadline - Access reviewed and logged - Nothing leaves without a rule Your call Approve a new supplier’s access Select any department to see it messy, organised and agentified, with one example from inside it. One system, opened up: Clef ## Everything you send, scored against 10,000 people before it goes out. This is the depth we go to in every department. Clef, the audience-fit model we run on Cloudflare Workers AI, scores ad creatives against buyer personas built from the public Facebook Ad Library, so the winners get the budget and the rest are retired. The same model checks posts, outreach, proposals and landing pages against those buyers, job adverts against candidates and customer-service replies against customers. Content is one line in one department of twelve. Clef the audience-fit model we run on Cloudflare Workers AI Demonstration of our real architecture. Volumes illustrative. **Ad creatives in this run**: 4,000 **Buyer personas, built from the public Facebook Ad Library**: 10,000 **Fit scores, every creative against every persona**: 40 million From the content line the next creatives, scored before any spend Month-end in a day, not a week. Finance Static 1. **New starters ready on day one.** People 2. **Hours back in all twelve departments.** Whole business 3. **Every complaint answered with the whole history.** Customer service 0.74 average fit across 10,000 personas Strongest with **Professional services FDs** **2,310** personas score above 0.7 Scaled: more budget tomorrow 10,000 buyer personas built from the public Facebook Ad Library. Each square is one persona. Hover or tap one to meet them. - Owner-directors, construction and trades 1,300 - Operations directors, manufacturing 1,200 - Finance directors, professional services 1,000 - Managing directors, logistics and distribution 800 - Practice owners, healthcare and dental 700 - Sales directors, B2B services 1,200 - Founders, e-commerce and retail 1,000 - Owners, property and lettings 900 - People directors, multi-site businesses 1,000 - Operations leads, hospitality and leisure 900 Today’s ad budget moves to the winners every day, by itself Board pack builds itself Enquiries in ten minutes Stop retyping jobs Month-end in a day Ops director at 7pm Cash collected overnight Retired before they spent much - Work smarter, not harder.Low fit in every segment. - AI for every business, today.Nobody could tell what it does. Outreach engines The same fit scores decide who the Instagram and LinkedIn engines contact first, with daily caps, randomised timing and a hard stop on any checkpoint. Autoposter Winning angles also go out organically, up to 10 posts a day on TikTok, Instagram, Facebook, YouTube and LinkedIn. One small part of marketing. This run so far **4,000** creatives in, **310** scaled, **2,140** retired, the rest still being tested on small budgets. A person signs off the offer and the monthly ceiling. Under it, the scoring, launching and retiring run every day. How we spend our time ## 95% of the work runs without us. We spend our time on the 5% that is judgement. AGMM runs on the same kind of systems we build for clients. They carry the repeatable work every day, at a volume a large team would struggle with. That frees Sam and Adam for the decisions with the most leverage: what to build, for whom, in what order, and what not to build at all. [Inside AGMM: every system that runs our own business](https://agmm.co.uk/evidence/) 95% of AGMM runs without Sam and Adam. The systems carry it, every day, at a volume a large team would struggle with. 5% is theirs: the calls that decide whether a build pays. 1. Client builds 2. Proposals and pricing 3. Running client systems 4. Outreach engines 5. Content line 6. Autoposter 7. Model fleet 8. Quality gates and review 9. The operating brain 10. Research 11. Finance and admin 12. Library and learning Sam and Adam’s 5% Pricing the big build A multi-site rollout: the scope, the price and the phasing. An agent sits in, takes notes, and files what was decided. The hire Who joins next, and which part of the work they own outright. An agent sits in, takes notes, and files what was decided. The strategy call Which sector to go deeper into next quarter, and what to say no to. An agent sits in, takes notes, and files what was decided. The relationship The quarterly review with a client’s board, in the room. An agent sits in, takes notes, and files what was decided. A week at AGMM, illustrated. Each square stands for five pieces of work done by our systems. Gold squares are the calls that need a founder. Volumes illustrative. The people you deal with ### Nobody in between. Sam and Adam lead the audit and the build directly, with AGMM's build team alongside them. The people who scope your system are the people who answer for it. Tasha leads AGMM's community, The AGMM Lounge. - ![Sam Wall, co-founder of AGMM, an AI consultancy, Manchester](https://agmm.co.uk/media/team/sam-wall-120.jpg) [Sam Wall](https://agmm.co.uk/about/sam-wall/) The technical calls: architecture, integrations, AI behaviour and what is safe to automate - ![Adam Gillett, co-founder of AGMM, an AI consultancy, Manchester](https://agmm.co.uk/media/team/adam-gillett-120.jpg) [Adam Gillett](https://agmm.co.uk/about/adam-gillett/) How the work really runs: process, adoption and making sure new systems are used - ![Tasha, community lead at AGMM and The AGMM Lounge](https://agmm.co.uk/media/team/tasha-120.jpg) Tasha Community, The AGMM Lounge The Library ## Free AI resources. No sign-up. Guides, courses and tools that let you test AGMM's thinking before starting a project. Plain English, written for owners, 47 on the shelves, including 7 new. [Browse the library](https://agmm.co.uk/learn/) - [SafetyMicrosoft urges UK to lead global AI safety rulesNew](https://agmm.co.uk/learn/microsoft-urges-uk-to-lead-global-ai-safety-rules/) - [AI-readyEnterprise AINew](https://agmm.co.uk/learn/what-is-enterprise-ai/) - [SafetyAI cyber riskNew](https://agmm.co.uk/learn/uk-minister-says-ai-cyber-breaches-are-likely/) - [FundamentalsWhat is agentic AI?New](https://agmm.co.uk/learn/what-is-agentic-ai/) - [AI toolsWhat is a coding agent?New](https://agmm.co.uk/learn/what-is-coding-agent/) - [FundamentalsWhat is physical AI?New](https://agmm.co.uk/learn/what-is-physical-ai/) - [SafetyWhat is rogue AI?New](https://agmm.co.uk/learn/what-is-rogue-ai/) - [SafetyAI and UK GDPR](https://agmm.co.uk/learn/ai-and-gdpr-for-small-businesses/) The newest on the shelf, latest first. Open any book to see what is inside before you read it. The AI Constraint Audit ## Start with evidence. Build only what survives it. The fit call tests whether the problem is worth investigating. In 14 days the audit finds the constraints, the weak points and the opportunities to save or earn serious money across your business, then ranks what to fix first. A fuller audit always follows inside any build proposal, and a build follows only where the evidence justifies one. Where every engagement starts AI Constraint Audit £2,000fixed and published **Length**: 14 days **Your time**: Three 60-minute working sessions **You keep**: Four documents, yours on day 14 **After**: A fuller audit inside any build proposal [Book a free 30-minute fit call](https://agmm.co.uk/ai-constraint-audit/#book) ### How it goes Four steps from business-wide evidence to a system your team can run. 1. #### Fit call Free **30 minutes** Test whether the problem is worth investigating. In thirty minutes we test the commercial stakes, whether AGMM is a fit and what evidence the team can provide. Nothing is purchased on the call. 2. #### Constraint audit £2,000 **14 days** Map the business, price the opportunities and rank the investment. Fourteen days and three sixty-minute working sessions with the two founders who will scope the build. Between them, AGMM maps the constraints and weak points across the business, finds the opportunities to save or earn serious money and builds the economic case for each justified option. 3. #### Build Custom build proposal **Scoped and priced by the audit** The price is agreed before anyone writes code. The scope follows the opportunity, from one focused system to a larger programme spanning teams and workflows. We design, write, integrate, test and deploy against your real data, your real rules and the exceptions your team already works around. The audit sets the scope, so the proposal reflects the work required rather than an arbitrary band. Every proposal includes a fuller audit of the areas it touches, because larger businesses and bigger deliverables take longer to map properly. 4. #### Ongoing support Custom ongoing proposal **Scoped to the deployed systems** If ongoing support is needed, its scope and price are agreed before it starts. Ongoing support is proposed separately after the build. Its scope and price depend on the systems in production, integrations, monitoring, response requirements, ownership and improvement cadence. It may include changes as well as uptime: rules move, people join, volumes shift, and the support proposal reflects what the business needs. ### Four documents you own, in fourteen days. £2,000, fixed and published. Three sixty-minute working sessions with the founders who would scope any build, and four client-owned outputs on day 14: the constraint map, the AI opportunity map, the economic cases and a ranked next step. The fuller audit comes later, inside the proposal, once we know where to look. 1. Day 1 2. Day 2 3. Day 3 4. Day 4 5. Day 5 6. Day 6 7. Day 7 8. Day 8 9. Day 9 10. Day 10 11. Day 11 12. Day 12 13. Day 13 14. Day 14 1. Day 01 #### Map the business Find waiting, rework, weak points and risk across every department, then gather the evidence that shows what happens in practice. A 60-minute working session 2. Day 07 #### Price the opportunities Price what each fix would save or earn, its cost, dependencies and failure conditions, with the people inside the work. A 60-minute working session 3. Day 14 #### Rank the investment Review the maps and economic cases, rank what deserves capital and define the justified custom build. A 60-minute working session Between the sessions, we map, measure and model. That is our time, not yours. - Output 1 of 4 #### Constraint map 1. Where work waits 2. Weak points and risks 3. Monthly hours, with evidence Yours to keep - Output 2 of 4 #### AI opportunity map 1. Where to save, where to earn 2. Systems and data underneath 3. Where a person stays in control Yours to keep - Output 3 of 4 #### Economic cases 1. Upside and cost to build 2. Cost to run 3. Every assumption, labelled Yours to keep - Output 4 of 4 #### Ranked build proposal 1. The investment order 2. Scope for the first build 3. What it will not do Yours to keep [What a page of each document looks like](https://agmm.co.uk/ai-constraint-audit/#what-you-get) Not ready to talk? [Map your AI readiness in five minutes](https://agmm.co.uk/ai-readiness-assessment/) . Free, and the result is yours without an email. The outcome ### A system your team trusts on an ordinary Tuesday. - A clear record of the work - Exceptions routed to the right person - An operating rhythm the team can rely on We use AI as an enabling layer. It moves repeatable work faster while your team stays in charge of the decisions. From the commercial decision to the operating system The audit establishes what is worth changing. Where a custom build is justified, the same people who scoped it take it from scope to ordinary daily use, with our dev team behind them. - Customer systems**Custom CRMs** A CRM shaped around how your business sells, so the data stays true, the follow-ups happen and the reporting is worth reading. - Operations systems**Scheduling and delivery systems** Systems that stop delivery depending on somebody remembering: bookings, staff availability and customer updates carried through one process. - Process systems**Custom process systems** Purpose-built systems for the awkward operational process that generic software cannot fit, from intake and approvals to delivery and reporting. ### What clients say after the work is done. 5.0 on Google. Quoted verbatim from public reviews, misspellings and all. > ★★★★★ > > “Top quality service, smooth process from start to finish. Everything was explained clearly and they done exactly what I wanted all for a great price too. I can not recommend these guys highly enough! Absolutely superb!” > > Mark Cradduck > ★★★★★ > > “From start to finish was an absolute pleasure. Sam went above and beyond. Nothing was to much trouble, even helped set up an extra invoicing app. Top quality service highly recommend” > > Micheal Walsh > ★★★★★ > > “Recently started working with these guys! I am blown away by the impact they have made on my business already! Very happy with the adaptability and customisation they have offered so far!!” > > Braden Lee [Read our reviews on Google](https://share.google/CRQoXkpWkF6sD3uEu) The next step ## Find what is worth fixing first. Start with a free 30-minute fit call. We test whether the constraints in your business are worth auditing. If they are, the £2,000 audit maps every department, finds the weak points and the money to save or earn, and ranks what to fix first. A fuller audit always follows inside the proposal. Nothing is purchased on the call. [Book a free 30-minute fit call](https://agmm.co.uk/ai-constraint-audit/#book) [See what the £2,000 audit covers](https://agmm.co.uk/ai-constraint-audit/) The audit: £2,000, 14 days, three working sessions, four outputs you own. AI Constraint Audit £2,000 · 14 days 1. 01 **Constraint map** Where capacity, cash and decisions are held up 2. 02 **AI opportunity map** Weak points, and where AI could save or earn 3. 03 **Economic cases** Upside, cost and risk, priced from your evidence 4. 04 **Ranked build proposal** What to fund first, and what to leave alone 5. + **The fuller audit** Always carried into your proposal *Fourteen days finds the constraints, the weak points and where you could save or earn serious money. A fuller audit always follows inside the proposal, because larger businesses need the time.* --- Source: https://agmm.co.uk/ · AGMM, a UK AI consultancy · company facts: https://agmm.co.uk/about/agmm.json · every page: https://agmm.co.uk/llms.txt