Senior AI Leadership In The Room, In 90-Day Cycles
I sit with your management and technical leadership as an embedded AI leader, set the sequencing, and own the outcome. Every engagement runs as a 90-day cycle that ends with board-ready ROI and a clear scale-or-stop decision. You get senior judgment for a fraction of a full-time hire, delivered remote-first at roughly 2 to 3 days per month, with a planned hand-off that builds AI capability inside your own team.
90 days
Per engagement cycle
2-3 days
Per month, remote-first
23+
Years experience
Senior AI Leadership Without The Full-Time Cost
This is an embedded advisory mandate, not a report drop. The shape is fixed and the accountability is real: senior judgment in the room, measurable ROI every cycle, and a decision gate that protects your spend.
Senior AI leadership for a fraction of a full-time hire, with no recruitment fee.
Market pricing patterns, fractional CAIO 2026
Every cycle is a contained 90-day commitment that ends with a clear scale, continue, or stop decision.
Fractional AI leadership engagement model
Per month of senior time, delivered remote-first through workshops, sparring sessions, and management briefings.
Dr. Güldener / Optica advisory mandate
Of enterprise GenAI investments deliver no measurable return. A senior owner who holds the ROI line is the fix.
Enterprise GenAI return analysis, 2025
What You Get Inside The Mandate
Six deliverables that move AI from pilot to governed production. I bring independent market knowledge, cross-company best practices, and decision frameworks. Your team keeps the build work and keeps the sequencing authority where it belongs.
AI Strategy and Roadmap
I interview leadership, inventory your current initiatives and infrastructure, and rank use cases by ROI. You walk away with a prioritized use-case map and a realistic implementation roadmap that defines the next development step of your AI strategy.
Governance and Operating Model
Most AI problems are organizational, not technical. I stand up the operating model and the governance guardrails that make AI ship safely: GDPR and sensitive-data handling, self-hosted versus cloud LLM hosting, auditability, and release approval workflows, with examples from peer regulated companies.
Delivery Oversight
I keep the prioritized initiatives moving through workshops and sparring sessions with the team that owns the work. You get an operating rhythm, structured accountability, and a senior owner who holds the line on outcomes every cycle.
Build-vs-Buy and Vendor Governance
I evaluate tools and vendors by benefit, risk, productivity, and integration capability across AI coding assistants, unit-test generation, and test automation. You get a clear build-versus-buy call and a vendor shortlist you can defend.
Board and Executive Reporting
Every cycle ends with board-ready ROI reporting that management and shareholders can act on. I present the results, name what worked, and frame the scale-or-stop decision in financial terms your CFO trusts.
Capability Transition To Your Team
The goal from day one is to hand over the wheel. As your team matures, the advisory role narrows and your people carry more of the work. I leave behind internal AI capability and a documented playbook, not a dependency.
Where The Engagement Moves You
Most organizations start with AI investment and no senior owner. The mandate walks you through three stages of AI maturity, and the advisory role narrows as you climb.
Experimenting
AI infrastructure exists and pilots are running, yet value is unclear and no senior owner holds the ROI line. Effort drifts and competitors move faster.
- •Pilots launched, returns unmeasured
- •No prioritized roadmap
- •Governance handled ad hoc
- •Sequencing falls to people at capacity
Governed
A senior owner is in the room. Use cases are ranked by ROI, the operating model and governance are in place, and 90-day cycles run on a fixed rhythm with a decision gate.
- •Prioritized use-case map in use
- •Operating model and governance live
- •Board-ready ROI reported each cycle
- •Scale-or-stop decisions enforced
Self-Sufficient
Your team carries the work. The internal capability is built, the playbook is documented, and the advisory role has narrowed to a light sparring cadence as maturity holds.
- •Internal AI capability established
- •Documented playbook and roadmap owned in-house
- •Advisory role narrowed by design
- •Repeatable cycle running without external lift
Engagement Model
How A 90-Day Cycle Runs
Four phases orbit one fixed point: measurable ROI. Each cycle moves from assessment to launch to measurement to a decision, then repeats only on proven value.
Perceive
Phase 01
Assess and Prioritize
I interview management and technical leadership, inventory current initiatives and infrastructure, and rank use cases by ROI to set the sequence for the cycle.
- ✓Prioritized use-case map
- ✓Current-state and readiness assessment
Learn
Phase 04
Decide and Scale
We make a clear decision on what to scale, continue, or stop, then set the next cycle and build internal capability so your team carries more of the work.
- ✓Scale-or-stop decision memo
- ✓Next-cycle roadmap and hand-off plan
Agent
Reason
Phase 02
Build and Launch
I stand up the governance guardrails and operating rhythm, then drive the prioritized initiatives through workshops and sparring sessions with the team that owns the work.
- ✓Governance and approval framework
- ✓Best-practice playbook and tool evaluation
Act
Phase 03
Measure and Refine
I report ROI in board-ready terms, tune the initiatives against real results, and frame the scale-or-stop decision for management and shareholders.
- ✓Board-ready ROI report
- ✓Refined initiative scorecard
Perceive - Phase 01
Assess and Prioritize
I interview management and technical leadership, inventory current initiatives and infrastructure, and rank use cases by ROI to set the sequence for the cycle.
- ✓Prioritized use-case map
- ✓Current-state and readiness assessment
Reason - Phase 02
Build and Launch
I stand up the governance guardrails and operating rhythm, then drive the prioritized initiatives through workshops and sparring sessions with the team that owns the work.
- ✓Governance and approval framework
- ✓Best-practice playbook and tool evaluation
Act - Phase 03
Measure and Refine
I report ROI in board-ready terms, tune the initiatives against real results, and frame the scale-or-stop decision for management and shareholders.
- ✓Board-ready ROI report
- ✓Refined initiative scorecard
Learn - Phase 04
Decide and Scale
We make a clear decision on what to scale, continue, or stop, then set the next cycle and build internal capability so your team carries more of the work.
- ✓Scale-or-stop decision memo
- ✓Next-cycle roadmap and hand-off plan
Technologies we work with
Battle-tested tools across the modern cloud-native stack
AI Development and QA
Test Automation
Governance and Hosting
FAQ
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Let's Talk
Bring Senior AI Leadership Into Your Business This Quarter
Book a confidential conversation about where AI can deliver measurable return in your organization. We will map the first 90-day cycle and the decision gate that ends it.
Based in Düsseldorf, Germany, working with clients across Europe