Case studies
    AI and automationManufacturing

    One view of the whole business, built on the ERP they already had

    A UK manufacturer with an office team and a warehouse ran everything through a mature ERP system. The data was good. Nobody could see across it, chasing suppliers was a daily manual job, and shipments lived in a spreadsheet. In two months we had the first version of an operational intelligence and workflow platform live: dashboards, automated purchase-order chasing and an AI assistant that answers from real numbers. It has kept growing since.

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    Client
    UK manufacturer, 20 to 30 people
    Scope
    Dashboards, supplier chasing, shipments, AI assistant
    Timeline
    Started April 2026, still expanding
    Status
    Live, 10+ people across 5 roles
    01 / The situation

    The data was all there. Nobody could see across it.


    Manufacturing, stock, sales, purchasing and invoicing each lived behind their own screen. Nobody could tell which customer orders a late supplier delivery would hit, or which components would run short. Routine work, like chasing suppliers to confirm orders or tracking what had shipped, was done by hand.

    The problem

    Every department behind its own screen

    Our solutionOne live view across the business

    Seven dashboards covering the overview, work orders, stock, depots, suppliers, sales orders and planning, refreshed from the ERP through the day.

    The problem

    No line of sight from a late delivery to a customer order

    Our solutionEvery customer order traced back to its supply

    Each order is checked line by line against stock, works orders and open purchase orders, down to the components inside each kit. When a supplier delivery slips, the orders it puts at risk show up, and planning lists the shortfalls to buy.

    The problem

    Chasing suppliers to confirm every order

    Our solutionPurchase-order tracking that reads the inbox

    Supplier replies are matched to their orders automatically. Chase emails go out each weekday, within limits the team sets.

    The problem

    Shipments tracked in a spreadsheet

    Our solutionA picklist tracker for the warehouse

    Every pick list from the ERP, the shipment it is on and when it was collected, with labels and photos.

    The problem

    Questions that needed a report to answer

    Our solutionAn AI assistant that works from live data

    Ask which orders are overdue or what is short for next week. It answers from the ERP using the same logic as the dashboards.

    02 / What's inside

    Seven dashboards and five tools, in one place


    Behind one sign-in, with the AI assistant available on every page.

    7 dashboards
    Overview
    The headline numbers across the business, on one page.
    Work orders
    Everything being built, and what is running late.
    Inventory
    Stock levels, usage and stock that is tied up.
    Depot performance
    How each depot is doing.
    Supplier performance
    How reliably each supplier delivers.
    Sales orders
    Every customer order, and whether each line can ship as promised.
    MRP / planning
    Works orders to raise and shortages to buy, down to the parts in each kit.
    5 tools
    Purchase order tracker
    Reads supplier replies and chases late confirmations automatically.
    Picklist tracker
    Every pick list, the shipment it is on and when it was collected, with labels and photos.
    Key customer reconciliation
    Checks a key customer's orders against the ERP and flags any differences.
    Work instruction checks
    Uses AI to check that work orders match their standard operating procedures.
    Stock finder
    Finds where any part is held, in seconds.
    03 / See it working

    Inside the platform


    Illustrative only, all the data in these illustrations is fake/anonymised.

    • Sales ordersEvery open order gets a verdict: can it ship as promised?
    • Purchase-order trackerSupplier emails matched to orders. Chases go out automatically.
    • The AI assistantAnswers from the ERP, with links to the records behind it.
    • PlanningWhat to build and what to buy, through every level of each kit.
    • Picklist trackerEvery pick list, its shipment, and when it was collected.

    Select a screen to enlarge it

    04 / Decisions that mattered

    Four calls that shaped the build


    1. Decision 1

      Build it to be added to

      The client asked for a platform they could keep building on. Each tool is its own module on a shared base, so new features slot in without reworking what is already live. The picklist tracker and stock finder were both added that way after go-live.

    2. Decision 2

      Keep the ERP, build on top of it

      The business already ran on a mature ERP, and there was no reason to replace it. The platform sits on top of its data, reading from a read-only copy of the database, so staff keep working in the system they know and the live system is never touched.

    3. Decision 3

      Keep the maths out of the AI

      A deterministic framework. Counts, late-order verdicts and shortages are worked out in code. The AI assistant only explains the result. This makes it give the same answer as the dashboards instead of hallucinating one.

    4. Decision 4

      Test risky changes in the background

      When we changed how orders are judged, the new logic ran silently alongside the old and logged what it would have done. The team checked the results before anything went live.

    05 / Outcomes

    What changed for the business


    Before and after each tool went live. Numbers from the client's own reporting.

    Supplier response rate

    Purchase order tracker with automated email chasing; replies are read by AI to work out each order's status, so staff know what to focus on.

    Before
    60%
    After
    88%

    On-time deliveries

    In three months. The same tracker and chasing, with every order's status kept current from supplier replies.

    Before
    67%
    After
    79%

    Rating from their key customer

    The effectiveness score their key customer gives them as a supplier. Still climbing each week.

    Before
    78%
    After
    93%

    Queries to senior staff

    Sales order tracker and dashboard. The platform pulls the data together and applies the calculations, so staff decide without escalating.

    Before
    Baseline
    After
    60% fewer

    £70,000

    of ‘lost’ stock found on day one

    Stock visible in one place for the first time, measured against what the records said was there.

    06 / Scale

    What it runs at today


    purchase orders in the tracker
    September 2026
    2,500+
    suppliers across the tracked orders
    June 2026
    500+
    people across 5 roles, office and warehouse
    October 2026
    10+
    tools the AI assistant can use to look things up
    October 2026
    30+
    dashboards and tools in one view
    October 2026
    7 + 5
    07 / Trust

    Safe to put in front of the whole team


    1. 01

      Inside their own Microsoft cloud

      Hosted in the client's existing Microsoft Azure environment, under their control.

    2. 02

      Data handled in line with GDPR

      A data strategy that follows GDPR, covering what is held, where it is kept and who can see it.

    3. 03

      Single sign-on

      Staff sign in with the work accounts they already have. Easy for them, and access is controlled in one place.

    4. 04

      Least privilege, by role

      Role-based access and row-level security in the database mean each person reaches only the parts of the platform their job needs.

    5. 05

      Defence in depth

      Layered protection, so a single compromised account can't open up the rest of the platform.

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