Data & AI transformation - EU + Global
From endless POCs to AI systems that actually work
I turn data chaos and stalled pilots into executable systems that deliver measurable value - with governance, people and processes aligned.
THE PROBLEM
Do you recognize any of these scenarios?
Data chaos and decisions based on gut feel
Disconnected spreadsheets, systems that don’t talk, endless manual reporting. Each team has a different number and critical decisions are made without a solid source of truth.
Cost: Wasted hours, expensive mistakes, missed opportunities
AI stuck in POCs that never scale
Many isolated experiments (chatbots, automations), but none deliver real impact. Governance is missing, data isn’t ready and there’s no clarity on what problem to tackle first.
Cost: Investment without ROI, frustrated teams, executive pressure
Psychosocial risks and wellbeing: mandate without a solution
Brazilian regulation now requires assessing psychosocial risks at work. But how do you measure objectively, generate reports and act - without turning it into spreadsheet chaos?
Cost: Legal risk, fines, non-compliance, ignored mental health
SERVICES
How I help
AI adoption sprint
From idea chaos to the first MVP in production
For companies that want to use AI but don’t know where to start - or are stuck in never-ending POCs.
- Mapping of 10–15 real use cases with ROI potential
- Prioritization based on technical feasibility, impact and available data
- Detailed design of 2–3 selected cases (flow, data, governance)
- 1 MVP implemented and running in production with success metrics
- Next-steps roadmap and governance recommendations
Decision system reset
I turn data chaos into a reliable decision system
For companies overwhelmed by spreadsheets, manual reporting and disconnected data that block fast, confident decisions.
- Full diagnostic of current processes, data and systems
- Mapping of critical decision flows and failure points
- Minimal data architecture design and required integrations
- Implementation of automations (ETL, dashboards, alerts) with low-code/no-code
- Decision rituals and data governance for sustainability
- Team training for autonomy
Human+AI transformation for HR/H&S
EU psychosocial risk compliance, mental health and leadership with AI
For companies that must comply with EU psychosocial risk directives and want to turn compliance into a cultural and strategic advantage.
- Implementation of an AI conversational agent for psychosocial risk assessment
- Automated pipeline for collection, analysis and reporting (individual and aggregated)
- Action plan templates for HR, leaders and Health & Safety
- Executive dashboard with organizational health indicators
- Enablement for HR and leadership to interpret and act
- Compliance with EU psychosocial risk directives and other EU regulatory standards
CASE STUDIES
Real outcomes
OLX Brasil
Marketplace
Challenge:
Post-merger with Grupo ZAP: 20+ disconnected data platforms, slow decisions, low executive dashboard adoption, unstable MarTech.
Solution:
Led Big Data & AI product strategy. Platform consolidation, MarTech rebuild, 6 ML products delivered, data culture uplift.
MarTech platform uptime (from 76%)
Messages/day processed (from 1.8M)
Executive dashboard adoption in 4 months
PMs promoted within 1 year (high-performance culture)
Addi
Fintech (BNPL)
Challenge:
Uncontrolled data costs, 3 separate BI tools, 90% of the data team in reactive mode (ad-hoc requests), lack of strategic direction.
Solution:
Led data strategy aligned with C-level. Consolidated BI into one platform (Looker), implemented Data Mesh, optimized pipelines, launched a Data Academy.
Data cost reduction (YoY)
Ad-hoc requests reduced (more automation)
Latency for critical pipelines (from ~3 hours)
Trained in SQL/Looker (~18% of the company)
Reserva (Arezzo Group)
Fashion retail
Challenge:
Fragmented data architecture between Reserva and Arezzo Group, frequent data quality incidents, lack of governance, migration from legacy stack to cloud.
Solution:
Advised on data strategy, governance and architecture. Alignment between Reserva and Arezzo Group, migration to cloud stack (Databricks + AWS), monitoring model.
Data quality incidents
Potential logistics savings (R$ 2M) via mapping
Forecast model accuracy (vs. 52% AWS baseline)
BI reorganized with OKRs and strategic direction
FoodTech (confidential client)
Food delivery
Challenge:
Sales stalled, manual WhatsApp service not scalable, no budget to hire more people.
Solution:
Designed and implemented a GenAI sales chatbot for WhatsApp in 2 weeks. Integrated with ordering system and automated the end-to-end flow.
Sales increase
From idea to MVP in production
Additional hiring cost
Automated service availability
THE PROCESS
How I work
Strategic diagnosis
1–2 weeksI understand your context: processes, data, systems, people, internal politics. I identify priority pains and quick value opportunities.
- Map of the current context (people, processes, data, systems)
- Identification of 3–5 critical pains with measurable impact
- Focus recommendation (what to tackle first and why)
Strategy & roadmap
1–2 weeksI design the solution: architecture, flows, integrations, minimal governance. We prioritize together what goes into the MVP and what comes later.
- Detailed solution design (architecture, flows, technologies)
- MVP scope with clear success criteria
- Implementation roadmap (phases, timelines, dependencies)
- Governance and sustainability plan
Implementation & MVP
2–6 weeksHands-on delivery: rapid prototyping with low-code/no-code, integrations, automations, testing and iteration. You see progress every week.
- Working MVP in production or a test environment
- Required integrations with existing systems
- Technical and process documentation
- Hands-on training for the teams involved
Follow-up & handover
2–4 weeksI monitor value metrics, fix what isn’t working and transfer knowledge so your team can run independently.
- Dashboard with value and usage metrics
- Adjustment sessions based on real feedback
- Full enablement of the internal team
- Recommendations for next steps and evolution
WHY ME
Why work with me?
I translate chaos into executable systems
I take messy context (people, politics, fragmented data) and turn it into designed flows, automations, dashboards and decision rituals. I’m neither “pure tech” nor “too conceptual” - I move well across both worlds.
Rare intersection: Data/AI + people/HR
I combine data architecture, AI and governance with employee experience, leadership, wellbeing and EU psychosocial risk requirements. In a world where AI needs real ROI and companies must protect mental health, this intersection is still uncommon.
I prototype in days, not months
I use no-code, low-code and LLMs to design, implement and test MVPs in days/weeks. While most GenAI pilots get stuck, I deliver the “last mile” and put working systems in place.
Real-world experience, not theory
I’ve been a senior executive (OLX, Addi, Bemobi), an entrepreneur and I relocated countries - living an international portfolio career. I don’t talk about the future of work from articles - I live it.
Brazil–Europe bridge with regulatory context
Based in Luxembourg, I understand both Brazil’s context (EU psychosocial risk requirements, labor culture, market) and Europe’s context (GDPR, AI policies, talent). I work across languages and build real bridges between markets.
FOR LEARNING, AGENTS & HR
Need a platform, not just advice?
For organizations needing AI agents for learning, development, or HR: Tenzing is the platform I co-founded and build. Winner of Koru's AI Think Tank for AI applied to HR.
Explore TenzingReady to turn ambition into outcomes?
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