I help engineering leaders introduce AI where it fits, protect comprehension with guardrails, and measure outcomes with the same rigor used in research. The result is faster learning without sacrificing judgment, quality, or accountability.
Who I work with
- Product and engineering leaders in private and public organizations
- Consulting firms needing a research-grounded partner for client delivery
- Startups building AI-enabled products
- Select individuals seeking structured mentorship
Three flagship offers
1) Compatibility-first readiness (2–3 weeks)
Outcome: a ranked adoption plan by flow fit / stack fit / people fit, with risks and pilot candidates.
Deliverables: current-state assessment, use-case scoring, policy and governance gaps, baseline metrics, executive brief.
2) 30-Day guardrail pilot
Outcome: one production-grade use case delivered with explicit constraints, verification loops, and a scale/hold/stop decision.
Deliverables: playbook, KPIs, rollback conditions, audit trail, team training focused on comprehension-first workflows.
3) Capability & Governance (ongoing)
Outcome: durable habits, review rituals, critique templates, decision clinics, and leadership cadences, that keep speed and understanding in balance.
Deliverables: competency matrix, role-specific checklists, policy updates, measurement cadence.
Who I Support
Private and Public Organizations
- What: I help organizations like yours achieve predictable outcomes and improve internal training through scientific and data-driven methods.
- How:
- I develop comprehensive AI readiness and strategy plans tailored to your needs.
- I conduct thorough assessments and gap analyses to identify areas for improvement.
- I create custom AI integration frameworks to boost your efficiency and learning.
- Highlight: Empirical AI Readiness and Strategy Development to enhance operational efficiency and organizational learning.
Consultancy Providers
- What: I assist consultancies in creating tailored solutions for diverse client problems with evidence-based AI frameworks.
- How:
- I develop custom AI integration frameworks through collaborative workshops with your team.
- I ensure solutions are grounded in rigorous empirical research.
- I implement and refine solutions via pilot projects, ensuring they are effective and relevant.
- Highlight: Custom AI Integration Frameworks to address diverse client problems effectively.
Startups
- What: I guide startups to sustainable growth with data-driven AI integration and mentoring.
- How:
- I conduct initial assessments to understand your unique needs and challenges.
- I develop tailored AI integration plans that align with your vision.
- I provide ongoing mentoring sessions with actionable feedback to help you succeed.
- Highlight: Evidence-Based AI Integration Coaching and Mentoring for strategic growth.
Individuals
- What: I offer personalized mentorship to help you solve specific problems using structured, empirical methods.
- How:
- I collect data to understand your personal goals and aspirations.
- I develop mentorship plans with clear, measurable objectives just for you.
- I conduct regular sessions focused on data-driven evaluation and iteration to ensure your progress.
- Highlight: Personalized Mentorship Program for targeted and efficient problem-solving.
Why I Do This
Industry rhetoric often chases novelty; research often abstracts away the mess. I operate at the intersection: independent, evidence-oriented, and focused on outcomes leaders can defend. My advisory work is tied to ongoing research and teaching, which keeps methods transparent and bias contained.
Frequently Asked Questions
Will AI slow down our experts?
On high-context work it can. That is why pilots route tasks by compatibility and pair assistance with verification and review depth checks.
How do we measure impact without gaming metrics?
Use a stable baseline, cohort comparisons, and a small, trustworthy set of delivery and experience measures. Report effect sizes, not vanity counts.
What happens after the pilot?
Scale when acceptance rates and quality hold; pause or adjust when the rollback triggers fire. The decision is made on evidence, not enthusiasm.
Spotlight on Successful Industry Collaborations
1. Improving Information Systems Quality in the Financial Sector
- Customer: Consortium of financial institutions including major banks and financial service providers, in collaboration with Deloitte Technology Strategy & Architecture.
- Problem: Challenges with information systems quality (ISQ), including complex legacy systems and high maintenance costs.
- Solution: Developed the SQuAP meta-model integrating key ISO standards, validated through a Delphi-like study with expert panels.
- Value: Enhanced operational efficiency, reduced costs, and improved system reliability through a structured approach to ISQ.
2. Agile Transformation for the Italian Army General Staff
- Customer: Italian Army General Staff.
- Problem: Slow and costly traditional development approach for the Command & Control (C2) system.
- Solution: Implemented a large-scale Agile transformation with tailored methodologies, involving multiple Agile teams over three years.
- Value: Achieved significant cost savings, reduced development time, and enhanced software quality, meeting NATO certification standards.
3. Enhancing Agile Team Effectiveness for Columinity
- Customer: The Liberators & Columinity.
- Problem: Difficulty in improving team effectiveness due to issues with team autonomy and stakeholder engagement.
- Solution: Developed and validated a comprehensive model of Agile team effectiveness through extensive field studies and large-scale surveys.
- Value: Provided a robust model for assessing and enhancing team effectiveness, improving project outcomes and stakeholder satisfaction.
4. Characterizing Hybrid Work Arrangements for Software Teams
- Customer: Multiple industry partners including Valtech, IBM, Brandwatch, and Ericsson.
- Problem: Defining and implementing effective hybrid work models post-pandemic.
- Solution: Developed a typology for hybrid work arrangements based on extensive interviews and data validation.
- Value: Enabled organizations to balance flexibility with team cohesion and productivity, enhancing strategic decision-making and operational efficiency.
5. The Double-Edged Sword of Diversity in Software Teams
- Customer: Christiaan Verwijs.
- Problem: Mixed impacts of diversity on software team effectiveness and conflict.
- Solution: Mentored Christiaan in conducting a comprehensive study on the effects of diversity, using the categorization-elaboration model (CEM) and data from 1,118 participants. This project was driven by Christiaan’s personal interest in the topic, which we pursued together.
- Value: Provided actionable insights into managing diversity, improving team effectiveness, and fostering psychological safety in diverse software teams.
Let’s talk!
If these problems resonate, contact me for an initial conversation. Bring one workflow you would be willing to pilot for 30 days; we will define success, constraints, and measures in the first session.