Fix the Decisions, Not Just the Data

I help European businesses, especially in Germany and the DACH region — fix the commercial decision problems that sit underneath unreliable forecasts, margin noise, pricing confusion, CRM friction, and reporting sprawl. The commercial problem comes first; analytics and AI are there to make decisions more reliable.

Why Choose Me

Commercial logic first. Tooling second.

I am useful when a business has enough dashboards, enough data, and enough meetings, but still lacks one trusted decision system.

€3M

Sales growth delivered against an initial target closer to €300k.

4→57%

Inside Sales growth turnaround across 38 markets.

13+

Years across sales leadership, analytics, pricing, forecasting, and AI.

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Commercial-first diagnosis

Every engagement starts with the business problem: margin, forecast accuracy, pricing discipline, CRM quality, or reporting drift.

Operating experience, not theory

Sales leadership, commercial analytics, enterprise BI transformation, and applied AI are all part of the same track record.

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Transfer built into the work

I build systems your team can understand, govern, and extend, with documentation and enablement included.

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DACH-based delivery

Based near Stuttgart. Available for onsite DACH work and remote engagements across Europe.

Consulting Services

Commercial Analytics Health Check

Most Popular

A focused diagnostic for leaders dealing with unreliable forecasts, unclear margin movement, pricing confusion, CRM quality issues, or dashboard sprawl. The goal is simple: find where decision quality is breaking, then leave with written next steps on what to fix first.

Deliverables:

  • Current-state assessment across forecasting, pricing, margin, CRM, and reporting
  • Top 5 decision-system risks and ownership gaps
  • Quick-win opportunities and likely root causes
  • Recommended roadmap and first use case priority
  • Written summary with recommended next steps for leadership follow-up
Duration: 90-minute working session + written summary
Book Health Check

Decision Opportunity Prioritization Sprint

A two-week sprint for teams facing too many ideas, too little trust, and no clear sequence for what to fix or automate first. We start with decision pain, data readiness, ownership, and ROI. Applied AI stays on the table, but only where it earns its place.

Deliverables:

  • Decision-friction workshop with key stakeholders
  • Data and process readiness assessment
  • Prioritized shortlist of workflow, reporting, automation, and AI opportunities
  • 90-day roadmap with implementation priorities
  • Governance and adoption considerations for rollout
Duration: 2 weeks
Plan The Sprint

Commercial Analytics Foundation Fix

Clean up the analytics foundations leaders rely on. This offer is designed for businesses where dashboards exist, but the underlying KPI logic, ownership, CRM data, or reporting structure is still distorting decisions.

Scope Examples:

  • Forecast accuracy logic and review cadence
  • Gross margin walk structure and pricing waterfall logic
  • CRM data quality, ownership, and governance
  • KPI definitions, semantic models, and dashboard rationalization
  • Executive business review packs and narrative consistency
Duration: 3-6 weeks
Fix The Foundation

Commercial Workflow Deployment

Build one practical workflow that improves decision speed, reporting quality, or commercial control in a real operating environment. This can include analytics automation, decision support, or applied AI, but the objective is measurable value, validation, stakeholder adoption, and repeatable execution.

Typical Use Cases:

  • Forecast commentary automation
  • Controlled narrative generation from sales or margin data
  • CRM opportunity scoring and prioritization
  • Pricing exception detection and validation
  • Document intelligence or tender support workflows
Timeline: 4-8 weeks
Launch First Workflow

Commercial Team Enablement

Practical training for sales, finance, analysts, managers, and executives who need better judgment around forecasting, pricing, CRM, reporting, and applied AI without hype, unsafe habits, or fragile processes.

Training Topics:

  • Decision hygiene in forecasting, pricing, CRM, and reporting
  • What automation and applied AI can and cannot do in commercial environments
  • Using LLMs safely with company data
  • Deterministic AI workflows and validation gates
  • Where applied AI fits into forecasting, pricing, CRM, and executive reporting
  • How to identify use cases with real ROI
Format: Half-day, full-day, or multi-week program
Plan Enablement

How I Work

A working cadence, not a generic agency funnel.

The process is designed to reduce ambiguity fast, create visible progress early, and leave the business with a stronger operating model after delivery.

Start With Discovery
01
Discovery

Diagnose the real point of decision failure.

We go into the business challenge, data landscape, and review rhythm deeply enough to separate symptoms from root causes.

02
Strategy

Set the path, owners, and proof points.

I define a tailored approach with clear milestones, decision owners, success measures, and realistic timelines.

03
Build

Ship in visible increments.

The work moves in iterative sprints so you can see progress, challenge assumptions, and steer before the solution hardens.

04
Deploy & Transfer

Hand over a system your team can run.

Deployment includes documentation, governance, and practical knowledge transfer so the work remains useful after launch.

How Engagements Are Structured

The right format depends on how clear the problem already is. Most engagements start with the Health Check or a Prioritization Sprint, then move into foundation repair, workflow deployment, or enablement.

Diagnostic

90-minute Health Check with written next steps for forecasting, pricing, margin, CRM, and reporting

Fast clarity

Best when leaders know something is off but not yet why

Build & Repair

Most Value

Foundation fixes, workflow deployment, and commercial reporting repair

Measurable outcomes

Best when the root problem and ownership model are clear enough to execute

Enablement

Team training, governance support, and leadership advisory

Capability transfer

Best when you need the team to operate the new system confidently

Every engagement is scoped against decision quality, stakeholder adoption, and operational reality before tools or models are chosen.

Common Questions

Who is the Health Check best suited for?

It is built for Managing Directors, Finance Directors, Commercial Directors, Sales Directors, COOs, Transformation Leads, and Heads of BI or Analytics who know the numbers are not trusted.

What kinds of problems do you usually fix?

Forecast inaccuracy, pricing confusion, unexplained margin movement, CRM quality issues, KPI disputes, dashboard sprawl, overloaded analysts, and applied AI pilots that never land operationally.

Do you build the AI workflow as well, or only advise?

Both. I diagnose the commercial decision-system problem first, then help design and implement the right analytics or AI workflow with validation, governance, and adoption in mind.

Can you work remotely and across multiple markets?

Yes. Most work is remote, with structured workshops, async review, and regular working sessions. I am based near Stuttgart and can support DACH onsite work where needed.

What happens after the first conversation?

If there is a strong fit, I scope the next step clearly: Health Check, Prioritization Sprint, Foundation Fix, workflow deployment, or team enablement. No vague transformation language and no AI theater.

Start With A Commercial Analytics Health Check

If the numbers are not trusted, the issue is usually logic, ownership, or governance before modeling. Start there, then decide what should actually be built after a 90-minute working session and written summary.