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How we work

Helping everyday sales work better.

We help B2B companies develop their sales organisation, from processes and responsibilities to CRM, data, automation, AI and enablement.

What matters is how people, processes, data and technology work together.

Architecture · Implementation · Transformation

Who our work is for

Ideal for (Perfect fit)

B2B companies with established sales structures

Sales works, but much of it relies on experience, individuals and informal channels. Now it needs to become a dependable system.

Industrial and technology companies

Complex offerings, longer sales cycles and multiple buying stakeholders need clear processes and meaningful customer signals.

Service providers with complex offerings

Expertise is your strength. To enable growth, acquisition, handovers, delivery and customer development need to work together more effectively.

Companies looking to get more from their CRM

The CRM is in place, but it does not reflect how people actually work or give teams and leaders enough direction.

Business leaders looking to reduce dependencies

When key opportunities, customer signals or decisions repeatedly depend on a handful of people, sales needs more structure.

Teams looking to use automation and AI effectively

Where data, processes and responsibilities are clear enough to create real value, beyond experimenting with tools.

Not suited to (Not a fit)

If you only need a tool configured

If you only need someone to configure a CRM technically, without clarifying ways of working, roles and data structures, we are not the right fit.

If you want quick fixes without prioritisation

Individual improvements can help. But they need to follow a clear understanding of what should actually change in sales.

If you have no capacity for change

New processes and systems need to be adopted in everyday work. That takes attention, leadership and realistic implementation capacity.

If you believe more leads solve every problem

When follow-up, ownership, data and customer development are not working, more leads often just amplify existing friction.

Our approach

Clear. Systemic. Focused on implementation.

01

Architecture

We clarify how sales should work: customer journey, roles, processes, data, systems and management.

02

Prioritise

We identify where friction occurs today and which changes should come first.

03

Implement

We implement prioritised improvements with your team: CRM, processes, data, automation and standards.

04

Embed

We enable teams, establish routines and make sure new ways of working hold up in everyday practice.

Service building blocks

The right combination of services depends on your starting point, maturity and goals.

Strategic clarity

Sales & go-to-market architecture

We develop the overall sales and go-to-market approach that underpins clear priorities and sound decisions.

Typical deliverables:

  • Sales & value map
  • Target market & customer segmentation
  • Offer & pricing structure
  • Roles & responsibilities model
  • Go-to-market decision framework
  • Medium-term sales roadmap
End-to-end visibility and control

Customer journey & sales processes

We design clear sales processes along the customer journey, clarifying responsibilities, transitions and impact.

Typical deliverables:

  • Customer journey & lifecycle overview
  • Decision and readiness criteria for each stage
  • Clear handovers between marketing, sales & customer success
  • Each stage's contribution to revenue development
  • Management metrics and leading indicators
Operational resilience

CRM & system integration

We make sure systems support the way you work without adding to your workload.

Typical deliverables:

  • Selecting and structuring your technology landscape
  • Mapping the customer journey in your CRM
  • Workflows & automations
  • Integrating relevant upstream systems
  • Data structure, ownership & usage principles
Less busywork, more focus

Automation & AI

We use AI where it reduces complexity and improves the quality of decisions and work.

Typical deliverables:

  • Identifying meaningful AI use cases
  • Automating repetitive tasks
  • Supporting prioritisation and decision-making
  • Automated communication and follow-up processes
  • Guidelines for responsible use
Transparency & direction

Data, KPIs & management

We make impact visible and establish a reliable basis for decisions.

Typical deliverables:

  • Measurement and KPI framework along the customer journey
  • Early indicators of risks and opportunities
  • Management dashboards
  • Decision-relevant reports
  • Regular review and learning cycles
Lasting impact

Training & enablement

We enable leaders and teams to use and develop the system independently.

Typical deliverables:

  • Enablement formats for leadership and operational roles
  • Training on systems and decision frameworks
  • Playbooks & guides
  • Onboarding concepts
  • Structured handover to your organisation
Consider funding early

Funding opportunities for your project

If you are redesigning sales processes, implementing a CRM or digitising workflows, funding programmes may be available depending on your location and project. We assess this early with you and clearly separate consulting, technical implementation and ongoing operation in the proposal. The relevant funding body decides whether a grant is awarded and its amount.

Working together

Working together starts with clarity.

1

System Check as an initial assessment

2

Clarifying goals, context and complexity

3

Deciding together on the approach and collaboration

Meet us

Impact

Our work creates:

less friction in everyday sales

clearer priorities for leaders and teams

better use of CRM, data and customer signals

a sales system that can handle growth

We develop more than individual measures.
We develop systems that work, even when conditions become more challenging.

Typical scenarios from our work

Different organisations.
One shared systems framework.

From dependence on individuals to scalability

A scale-up in education and enablement with a SaaS-related business model

Starting point

Sales and growth depended heavily on individuals. Marketing and sales worked alongside each other without forming a system. There was little visibility into the pipeline, impact or priorities.

What changed

  • Structuring the revenue and offering model
  • Introducing a CRM as a central management tool
  • Building a consistent sales playbook
  • Developing the full set of sales materials
  • Clarifying roles, responsibilities and handovers between marketing and sales
  • Designing and implementing structured outbound activities

Impact

  • Sales no longer depends on individual people
  • Much greater consistency in lead generation and closing processes
  • Clear collaboration between marketing and sales
  • Leadership can manage the pipeline, bottlenecks and decisions as a system

From variety to focus and efficiency

A purpose-driven B2B company with a complex portfolio

Starting point

Many B2B offerings, multiple entry points and substantial manual work. Reporting and oversight were largely compiled by hand.

What changed

  • Structuring the offering and revenue model
  • Introducing a CRM to centrally manage enquiries, proposals and the pipeline
  • Building forms, automations and clear processes
  • Establishing structured reporting
  • Clarifying priorities and internal handovers

Impact

  • Around 80% less manual coordination and administration
  • Much better visibility into enquiries, proposals and impact
  • A clearer basis for decisions on focus and further development
  • More team time for value-creating work

From individual activities to strategic direction

A network and funding organisation in innovation and education

Starting point

Many projects, stakeholders and initiatives, but little systematic evaluation of what worked, what did not and why.

What changed

  • Analysing existing activities, structures and decision-making
  • Developing a clear sales and partnership strategy
  • Creating a sales and development roadmap
  • Structuring materials, arguments and decision inputs
  • Jointly evaluating success and failure factors

Impact

  • Clear strategic direction for future activities
  • A better understanding of which actions create impact
  • Less knowledge loss through structured documentation
  • Better-informed decisions in discussions with funders and partners

The organisations differ.
The impact follows the same principles: clarity, structure and the ability to make decisions.

Frequently asked questions

We often hear these questions from business leaders and management teams. They help clarify expectations before deciding whether working together makes sense.

Yes, often especially then. The question is how well the system behind your revenue holds up when complexity increases or conditions change.

That is a good starting point. Our work begins by clarifying what these elements should manage together and how they support sound decisions.

Our focus is resilience, visibility and adaptability. Growth can follow, but it is not the starting point.

Sales systems underpin both leadership and everyday work. Operational improvements follow from that; they do not replace work on the system itself.

The goal is to reduce your workload. Structural clarity reduces friction, coordination and dependence on individuals.

No. We work with a clear systems framework rather than fixed programmes. The right approach depends on your goals, context and maturity.

The System Check provides an initial shared assessment. In the follow-up conversation, we determine whether and how working together makes sense.

We create decision frameworks and structures that work in practice, rather than concepts waiting for a sign-off.

Yes, selectively. For us, AI strengthens functioning structures. Without clarity in data, processes and responsibilities, it usually creates more complexity than impact.

No. What matters is whether your system can support automation and learning in principle.

AI can reduce workloads, speed things up and reveal patterns. Stability comes from structure, clarity and good decisions. AI works best where these foundations are in place.

Through clear responsibilities, sound data structures and deliberate decisions about where automation makes sense and where it does not.

The goal is not to automate everything.
It is to design systems that allow technology to create impact.