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    Case Study · PPC Agency

    Twelve Data Sources. One Place to Look.

    A UK ads agency logged into twelve different systems to answer one question. We put the lot in one place, with a layer that protects client names, campaigns and numbers before they reach AI.

    Follow the transformation
    The business
    Ads agency · ~15 employees · a team of five running client ads
    The work
    AI build
    Delivery
    Built and in active use

    01 / The starting point

    Twelve logins, and hours of work to answer one question.

    Google, Shopify, Meta, TikTok, LinkedIn, Amazon, Apple and five more. Twelve places to log in, each one counting things its own way, each one with its own idea of what a click is. Ask a simple question, like how a client did last month. Someone had to open all twelve, copy the numbers into a sheet, and work it out by hand. Every client. Every month.

    Separate systems the client numbers were spread across
    12
    Built by hand, one tab at a time
    Every report
    Clients ringing the team for numbers they could look up
    Daily
    Client data was being pasted straight into AI tools
    Yes

    02 / The method

    Understand it. Then build it.

    Why we fix the work first

    Twelve logins looked like a tool problem. Drawing the work out showed it was a process problem, so we fixed how the work ran before we built the store.

    1. 01

      We drew it

      We followed one client report from start to finish. Where each number lived, who looked it up, how often the same answer was worked out again from scratch. It was dozens of times a week.

    2. 02

      We designed it

      One store that all twelve systems feed into, counted the same way. A fixed set of rules maps client and campaign names to codes and transforms numeric values using minimum and maximum levels before sending them to AI.

    3. 03

      We built it

      Reports that build themselves. Notes from the team on what changed. A saved copy of every number. And a page where clients look things up without ringing anyone.

    4. 04

      It runs

      The agency now has its own reporting platform, built around its client data and workflows, with a protection layer for AI. Both the team and clients use it to get answers directly.

    03 / What we built

    What we put in its place.

    • 01

      One place for every number

      Twelve systems feed into one store, counted the same way, so there is one answer instead of twelve.

    • 02

      Protected before AI sees it

      AI receives mapped names and transformed numbers. When the response comes back, the system restores the original names and values, so users see familiar client data without any extra steps.

    • 03

      Any AI can ask it questions

      The store speaks one common language, so any AI tool the agency picks up can read it without a special build each time.

    • 04

      Clients look for themselves

      Clients see their own numbers whenever they want, with notes from the team saying what moved and why.

    • 05

      Reports in seconds

      A report that used to take hours of copying now builds itself while you wait.

    • 06

      Every number is kept

      The data is saved as it stood on the day. When a client asks what happened in March, there is proof, not memory.

    The workflow, before and after
    The workBeforeAfter
    Places to look121
    Building a client reportHours of copyingSeconds
    Client data sent to AI firmsRawNames coded, values transformed
    Getting an AI to read itA build for each toolOne way in

    04 / The result

    One place to look, with client names and numbers protected before they reach AI.

    Places to look for a number, down from twelve
    12 → 1
    Original client names sent to AI
    0
    To build a report that used to take hours
    Seconds
    Clients answer their own routine questions
    Self-serve

    Twelve scattered systems became one store that any AI can read. Routine reports and everyday client questions now answer themselves. Client and campaign names are mapped to codes and numeric values transformed before AI sees them. The original names and values are restored in the response.

    “Twelve platforms felt like a tool problem. Drawing the work out showed it was a process problem. Once you can see where the value is really made, the technology is the easy part.”

    Said Lopez · Founder, LeverageAI

    Sound familiar?

    Different business. A familiar pattern?

    • Is someone building your client reports by hand out of half a dozen ad accounts?
    • Is your team pasting client data straight into AI tools?
    • Do clients ring your account managers for numbers they could look up themselves?
    • Could one place for all the numbers become something you sell, instead of something you pay for?

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    A free 15-minute fit call to explore your workflow and discuss the workshop, including pricing.

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