Data and AI for topline growth

+5% revenue growth
10× marketing output

Most enterprise AI programmes produce pilots, not revenue. Avaus partners with growth leaders who are ready to build AI into how their commercial function actually operates, with measurable P&L results within the first year.

+5%
incremental annual revenue at full automation level
10×
marketing productivity once the operating model is live
15+ yrs
building AI into commercial processes, since 2013

Realistic targets, achievable within one to two years.

In their words

15+ years. Hundreds of use cases. Measurable P&L impact.

A few of the people we've partnered with.

  • Anna Lindqvist, Chief Marketing Officer at Nordic Industrial Group
    "Avaus helped our commercial teams treat AI as a way of working rather than a side project. Two quarters in, the rhythm was running on its own."
    Anna Lindqvist
    Chief Marketing Officer, Nordic Industrial Group
  • Marcus Holm, VP Growth at Scandi Retail Co.
    "They embedded with the team and shipped real use cases. The model now compounds, and our marketing output has grown meaningfully without growing headcount."
    Marcus Holm
    VP Growth, Scandi Retail Co.
  • Sofia Reinikainen, Head of Commercial Operations at Helios B2B
    "The most useful thing Avaus did was build the operating model alongside the use cases. The capability genuinely stays with us."
    Sofia Reinikainen
    Head of Commercial Operations, Helios B2B

Why now

The gap widens every quarter you wait.

Technology compounds exponentially. Organizations adapt incrementally. We compress the adoption curve from wherever you are today.

Start closing the gap →

Adapted from Scott Brinker's "Martec's Law"

The compounding model

Same team. Multiples more output.

Learn: What are compounding curves?

People stay flat. Automation compounds. With systematic increase of automation levels, your commercial team will be producing 3× the output and results, without 3× the headcount.

Book a 30-min intro →

Our approach

We build the operating model and the use cases it produces.

Learn: What is an operating model?

Use cases without an operating model tend to be one-off wins. An operating model without use cases is mostly theatre. We build both, on a blueprint refined across hundreds of enterprise engagements.

  • Targets
    Explicit statements of what to accomplish
  • Strategies
    Key choices that guide development
  • Structures
    How teams, roles, and decisions are organized
  • Use case implementation
    The factory that turns ideas into P&L
  • Capabilities
    Data, algorithms, activation, change
  • Governance
    Prioritization and trade-offs at scale
  • Measurement
    Tying outputs to commercial outcome
  • Change management
    Adoption inside the commercial org

How we deliver business results

We embed. We run four streams. The org builds capability that lasts.

Learn: What is a use case?

We partner and embed inside your commercial organization, working across four parallel streams so new data and AI-driven ways of working actually take hold.

  1. 01

    Use cases

    Ship a live, growing portfolio of data and AI use cases across acquisition, cross-sell, retention, and churn, each one tied to P&L.

    Explore the use case library
  2. 02

    Capabilities

    Build the data, algorithms, and AI infrastructure underneath the use cases so each one runs faster and cheaper than the last.

    Map your current capability gaps
  3. 03

    Operating model

    Install the governance, prioritization, and ways of working that let the commercial org keep building without us.

    See the blueprint
  4. 04

    Change management

    Embed new data and AI-driven ways of working into the day-to-day so adoption sticks long after we leave.

    See some best practices

Getting started

Pick your starting line.

Four ways in. One destination: a compounding portfolio. Pick the path that fits your org today, we'll meet you there.

Light planning, fast execution.

For teams that want momentum in weeks, not quarters.

Best for
Commercial teams with a clear P&L target
  1. 1
    Month 1

    Setup & 2–3 use cases scoped

    AI trained on your context. First plays defined.

  2. 2
    Month 2

    First use cases live

    Campaigns and automations running. Results start landing.

  3. 3
    Month 3

    Iterate & decide

    Tune on early data. Choose scope and pace from here.

  4. Ongoing

    Compounding portfolio

    More use cases, more automation, growing P&L impact.

Compounding portfolio from Month 4.

Investment logic

Start small. Scale fast.

Starting small is fine: most clients do. The more ambition you bring, the faster we transform and automate. Pick the team size that matches the pace you want.

  • S

    Focused start

    ~2 FTE embedded team

    Methodology and expert oversight to unlock what your team already has.

  • M

    Accelerated growth

    Most common
    ~4 FTE embedded team

    Hands-on capability across data, algorithms, and activation.

  • L

    Full transformation

    ~8 FTE embedded team

    Aggressive timelines, multiple markets, complex scope.

A still fjord at dusk

The hardest thing in commercial AI isn't the technology. It's consistency. 2% better every month compounds to 2x in three years. Simple math, but surprisingly rare in practice!

DESIGN PRINCIPLES BEHIND AVAUS METHODOLOGY

How we deliver

Delivered by AvausOS.

Learn: What is AvausOS?

Senior, cross-competence teams: strategy to operations, data to algorithms to action, embedded alongside yours and supercharged by AvausOS, our internal delivery system. We tie our fees to your topline growth and productivity, so the upside is mutual.

  • Senior industry experts

    Embedded teams of senior experts with deep B2B and B2C competence across strategy, technology, data, AI and marketing and sales excellence

  • Cross-competence by design

    Strategy to operations, data to algorithms to action: one team across every layer, so insight tends to turn into shipped use cases without hand-offs.

  • Supercharged by AvausOS

    A living layer of methodology, playbooks, and AI agents that gets sharper with every engagement, so every client runs on our latest thinking by default.

  • Skin in the game

    We tie a meaningful share of our fees to your topline growth or productivity gains. When you win, we win, and that alignment shapes every decision we make.

Let's talk

Ready to bridge AI investment and revenue?

Book a 30-minute intro with our partnerships team. We'll listen, share where we see the biggest opportunities, and tell you honestly whether we're the right fit.