AI integration practice of Element Group

Put AI where
the money is.

Element Group builds and runs AI systems inside sales, marketing and operations. We spent 20+ years growing revenue for global brands, so we know which part of the funnel pays. That is where the AI goes.

  • 20+ years in digital marketing
  • 300+ marketing case studies
  • 7 countries with an office
  • 4 weeks planned length of a first pilot

Marketing track record: brands we have run search and paid media for

  • Polaroid
  • Sony
  • Alibaba
  • Xiaomi
  • Yves Rocher
  • GE Money Bank
  • Cisco
  • Subaru
  • Nespresso
  • River Island

Problem

Most companies have bought AI. Few can show what it earned.

The tools are there and the experiments happened, yet the P&L looks the same. We see the same four reasons almost everywhere.

  1. Experiments that never leave the demo.

    Nobody owns them in production.

  2. Tools that don’t talk to each other.

    CRM, ads, calls and finance each tell a different story.

  3. Your team doing a machine’s job.

    Call write-ups and reports still done by hand.

  4. Costs that didn’t move.

    A lead, a call and an article still cost what they cost before.

Results

AI in production, with the numbers.

Three systems we built and still run inside our own group’s businesses. Each one moved a number the business already tracked: wasted ad spend, time per sales call, content output. Every figure is our own measurement.

Group company: consumer electronics brand, three marketplaces

29%

of audited ad spend was going to campaigns with no sales. A single audit run found it.

Data lived in three marketplace accounts, accounting, the bank and spreadsheets. Leadership saw revenue but not which product was losing money. Now daily syncs feed unit economics per product, a morning ad audit and a dashboard. Changes to live ad accounts wait for human approval. 869 automated tests keep it honest.

Group company: B2B sales department

From 60 minutes down to 5

to write up a sales call, with 100% of calls analysed.

Every call is transcribed and summarised straight into the deal history, with coaching notes for the manager and a team digest of objections: the reasons buyers give for saying no, and how often each comes up. Script changes now start from that digest.

Group company: B2B services website

250

articles shipped by two AI content pipelines: 58 for a commercial blog, 192 for a reference wiki.

Topics come from live search demand. Agents draft, facts are checked against primary sources, and nothing is published until it passes a multi-layer quality gate. Our experts now review drafts. They no longer write them.

Have a process like one of these? Tell us about it.

If it can’t tell a revenue story, we don’t ship it.

Hence the name: revenuestory.com.

What we build

Six places we put AI to work first.

Each one is tied to a process you run today and a number you already track. A first pilot is planned for four weeks.

  • Sales

    Sales call intelligence

    Every call transcribed, summarised and written into the CRM. Objections counted, not guessed.

  • Advertising

    Ad spend audit

    A daily check that flags spend on campaigns with no sales, before the month’s budget is gone.

  • Content

    Content pipelines

    Topics from live search demand, drafts by AI agents, facts checked against primary sources.

  • Leadership

    Leadership dashboard

    Unit economics across channels in one view, refreshed without an analyst.

  • Customer service

    Customer replies in your voice

    Reviews and questions answered in your brand’s tone. A person approves what goes out.

  • Team

    An AI toolkit your team runs itself

    Agents and playbooks handed over to your own people. You get the method as well as the system.

Method

Built like software. Governed like finance.

We start with an audit and reserve the right to say “don’t automate this”.

  • Phased delivery

    A written plan with acceptance criteria. You sign off before we write code.

  • Review at every phase

    Code is reviewed as each phase closes. Anything that touches money, logins or personal data gets a security review as well.

  • Result checks

    Each automation checks its result, not just that it ran. Empty output counts as a failure.

  • Approval before money moves

    Actions with financial impact need explicit approval, and every one is logged.

  • Data protection

    Personal data is anonymised in-house before it reaches any third-party model.

The people on your project

A strategist decides what to tackle first. A marketer knows where the customer journey breaks. An AI engineer builds the agents and the tests around them. An analyst checks the numbers before and after.

Track record

Two decades of marketing results for brands you know.

Before AI, our work was search, performance and product marketing, including for the brands below. It taught us where revenue is won and lost in a funnel. That is why our AI goes into the ad account, the sales call and the content pipeline first.

Selected marketing work and results
Brand Sector Work Result
Polaroid Cameras Paid search and content 4.2× revenue from paid search
Sony Online store Search, paid and display mix 1.9× sales from paid traffic
Alibaba E-commerce Search strategy and technical spec for 1M+ pages +386% organic traffic
Xiaomi Consumer electronics Search visibility for the US site, Google and Yahoo +378% organic traffic
Yves Rocher Beauty Organic search +193% organic traffic
GE Money Bank Banking Organic search +345% site visits
Cisco Web conferencing software Search programme on Baidu +87% site traffic
Subaru Automotive New model launch campaign 3.5× average CTR
Nespresso Coffee Organic search for the online store 31% more queries ranked no. 1
River Island Fashion SEO across 3,000 pages 4,108 keywords in the top 10

Marketing engagements delivered before our AI practice. Figures come from our own case studies. All trademarks belong to their owners; no endorsement implied.

Ask for a full write-up

Offices · Local time

Offices in seven countries, one team.

  • Estonia
  • Finland
  • Türkiye
  • China
  • Indonesia
  • Spain
  • Kazakhstan

Our working day runs from Spain to China, so someone on your project is at their desk for most of yours.

Tell us where the money leaks.

Send us one process and one number you want to move. We’ll tell you whether AI belongs there. If it doesn’t, we’ll say so.