What I offer

AI Adoption &
Implementation Leadership

I help teams move AI from pilots and scattered use cases into governed delivery workflows. Fractional, project-based and advisory engagements across remote EU.

Services

AI Adoption & Implementation Leadership
Embedded leadership for teams that have real AI initiatives, unclear ownership and too much risk between prototype and production. I connect use-case framing, delivery planning, stakeholder alignment and adoption into one operating model.
Adoption roadmap and operating rhythm Pilot-to-production delivery plan Stakeholder alignment and decision cadence Metrics tied to workflow adoption
Agentic Workflow Implementation
Design and rollout of AI-assisted workflows across backlog preparation, documentation, QA criteria, dependency checks and team knowledge. The goal is not a demo. The goal is a workflow people actually use before planning, delivery and release.
Two-agent backlog and PBI pipelines Repository-level Copilot enablement n8n, Claude API and Gemini workflows Human review points by design
LLM Governance & Delivery Enablement
Practical governance for teams deploying LLM-enabled workflows: validation rules, ownership, risk checks, release gates and documentation habits that keep AI useful without letting it become unmanaged infrastructure.
LLM governance and escalation rules Output validation and audit trails Release governance for AI workflows Team enablement and adoption support
Capabilities used when needed
Jira, Azure DevOps, Scrum, SAFe, Lean-Kanban, coaching, dashboards and release rituals are not the offer by themselves. They are tools I use when they help the AI adoption work land inside the team.
Backlog and workflow design Cross-team dependency management Delivery metrics and reporting Team coaching for AI-assisted work

How it works

01
Discovery call
We talk about the AI workflow, adoption gap or delivery problem you are trying to solve. I look for ownership, risk, team habits and what would make the work useful in practice.
02
Scoping & proposal
I send a written proposal with scope, deliverables, timeline and engagement type. No generic deck. Just the problem, the work, the expected output and the decision points.
03
Kickoff & delivery
We agree the cadence, tools, owners and success criteria. I integrate with the team and start from the workflow that creates the most adoption leverage.
04
Review & handover
Each engagement ends with documented workflows, open risks, metrics and next decisions. Your team owns the process, the artifacts and the operating rhythm.

Pricing philosophy

I do not publish hourly rates. AI adoption work is scoped by outcome, not by the hour. Each engagement is defined by deliverable: a diagnostic sprint, an agentic workflow, a governance model, or an embedded implementation role. You know what the work is before it starts.

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