Applied AI · Operational Transformation · AI Governance

Helping organizations translate AI ambition into governed workflows and measurable business outcomes.

Berlin-based consultant focused on AI readiness assessments, workflow modernization, operational transformation, and responsible implementation across European and international environments.

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Engagement profile

Applied AI strategy and operational transformation. Based in Berlin.

Core focus: structuring AI opportunities into practical readiness assessments, governed workflows, and executive-ready roadmaps — across consulting, digital transformation, and strategy & operations contexts.

DisciplineAI Strategy · Operational Transformation · Governance

ApproachStructured assessment, workflow design, and governed implementation

DeliverablesReadiness assessments, operating models, governance frameworks, roadmaps

Capabilities

Core strengths across AI strategy and operational transformation.

Practical capability across the full advisory arc — from initial readiness assessment through governed implementation and executive reporting.

Workflow Modernization

Translate operating processes into AI-ready workflows with clear task boundaries, human review points, and governance controls — without overclaiming what automation can responsibly deliver.

AI Governance & Responsible Implementation

Establish the oversight structures, risk frameworks, and monitoring cadences that allow AI initiatives to scale with organizational confidence and regulatory clarity.

Strategic Advisory Outputs

Produce the structured deliverables that leadership needs to evaluate AI opportunities, fund pilots, manage adoption, and make informed decisions about scale.

Assessment methodology

AI readiness diagnostic: a structured evaluation framework.

This diagnostic illustrates the structured approach used in AI readiness engagements — mapping workflow characteristics, data reliability, risk exposure, and organizational readiness into actionable recommendations.

Deterministic demo

Agentic AI Readiness Demo

Enter a workflow profile to generate a transparent readiness report. The current version uses local rules only and makes no external calls.

Workflow name

Primary success metric

Function area

Pipeline hygiene, CRM workflows, account research, forecasting.

Workflow type

Suggesting the next best action with rationale.

Workflow volume

Frequent work with meaningful time or quality leverage.

Repeatability

Some patterns, some exceptions.

Data readiness

Sources exist but need quality and access review.

Human review

Clear approval, escalation, and override path.

Risk level

Business impact exists, but actions can be reviewed.

Integration readiness

Some systems are accessible, but handoffs remain manual.

Governance owner

Ownership exists but responsibilities need sharper boundaries.

Score

Output report

Pilot-ready

CRM opportunity update assistant: This workflow has enough structure for a supervised pilot if evaluation and ownership are documented.

Recommendations

Create a source inventory and mark which systems are approved for agent access.
Start with supervised recommendations and measure reviewer acceptance.
Run a workflow diagnostic to separate stable paths from edge cases.

Risks

Risk is manageable if the first version stays narrow and evidence-backed.
Ownership should be documented across business, control, and evaluation responsibilities.
Integration assumptions should be tested before expanding scope.

Next steps

Write a one-page workflow brief with scope, user, decision, and success metric.
Create 15-25 representative test cases for evaluation before build.
Define launch gates for quality, risk, adoption, and human review coverage.

Implementation notes

Best starting mode: assistive agent with human review.
Primary metric: Reduce rep admin time while improving CRM field quality.
Workflow type: Recommendation in Sales / RevOps.

Selected work

Structured engagement examples across AI readiness, workflow design, governance, and impact measurement.

Each engagement demonstrates structured problem framing, operating logic, governance design, and decision-quality analysis — covering the full arc from assessment to implementation planning.

AI readiness assessments across multi-function enterprise environments.
Workflow diagnostics and operating model design for service operations.
AI governance frameworks and impact measurement for regulated and PE-backed organizations.

Enterprise Operations Group2026Assessment

Agentic AI Readiness Assessment

A structured assessment of where agentic AI could safely improve decision throughput, workflow quality, and operational leverage.

Functions assessed: 8
Candidate workflows: 34
Executive roadmap: 90 days

B2B Services Platform2026Diagnostic

Agentic Workflow Diagnostic

A diagnostic engagement that decomposed a high-volume operations workflow into agent-ready tasks, controls, and implementation phases.

Workflow steps mapped: 47
Automation candidates: 11
Cycle-time target: -30%

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Next step

Explore the full background or continue through selected work.

CV access and LinkedIn provide the career history. Case studies demonstrate the structured approach to AI transformation engagements.

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