// service_offer
AI-Driven Analytics & Insights
From static charts to intelligent, conversational analytics.
3 service plannen
I bring AI into the analytics workflow: conversational data interfaces, LLM integration, RAG architectures, and intelligent automation using platforms like Make, n8n, and Power Automate. I move organizations beyond static reports into systems that surface patterns, answer questions in natural language, and learn from the data. Practical AI that delivers insight, not just novelty. Backed by the UvA AI for Executives certificate and Microsoft AI Transformation Leader certification (score 850/700).
AI Transformation Leader
Microsoft AB-731 · Score: 850
Analytics Lead
UvA Amsterdam Business School · 2025
// ai_analytics
Service Plannen
Kies het plan dat past bij jouw situatie.
// plan_01
AI Readiness Assessment
1-3 weeks · Fixed fee
I evaluate your data landscape, team capabilities, and use cases to identify where AI can deliver real value in your analytics workflow. You receive a prioritized opportunity map with feasibility scores.
// plan_02
AI Analytics Pilot
4-8 weeks · Fixed fee
A focused pilot project: building a conversational analytics interface, automated insight pipeline, or AI-augmented reporting workflow. Scoped to deliver a working proof of concept with clear ROI metrics.
// plan_03
AI Integration & Evolution
Monthly · Min. 3 months
Ongoing AI capability development. I expand the pilot, add new data sources, refine prompts and RAG pipelines, train your team on AI tools, and ensure the solution evolves with both your data and the rapidly changing AI landscape.
// plan_01
AI Readiness Assessment
// the_scenario
Everyone's talking about AI. Your board is asking about it. But your analytics are still static charts and scheduled exports, and you're not sure where AI would actually make a difference versus where it's just hype.
Wat Ik Doe
I assess your current analytics workflows, data infrastructure, and team capabilities through an AI-readiness lens. Where are people spending hours on repetitive analysis that AI could handle in seconds? Where is data sitting unused because nobody has time to explore it? I map realistic, high-impact AI opportunities specific to your situation, not a generic "AI strategy deck."
Wat Je Krijgt
Current state assessment of your analytics maturity and data infrastructure
AI opportunity map: use cases ranked by impact, feasibility, and data readiness
Risk and governance considerations for each opportunity
Recommended pilot project with scope, timeline, and expected outcome
Executive briefing: what AI means for your analytics, in business terms
// ideal_client
Is dit iets voor jou?
Organizations where leadership is pushing for AI adoption but the analytics team doesn't know where to start. Also companies that tried a chatbot or copilot experiment that flopped and want a clearer picture before investing again.
// plan_02
AI Analytics Pilot
// the_scenario
Your team answers the same questions every week: "What were last month's sales by region?" "How are we trending against budget?" These questions have answers in your data, but getting them still requires someone to open Power BI, write a query, or build a report.
Wat Ik Doe
I build an AI-powered analytics assistant grounded in your actual business data. Not a generic chatbot, an intelligent interface that understands your data model, your KPIs, your business context. It can answer questions, surface trends, generate summaries, and flag anomalies. I connect it to your existing data sources, define guardrails so it doesn't hallucinate, and train it on your specific business terminology.
Wat Je Krijgt
Conversational AI analytics interface connected to your live business data
Grounded in your data model: answers based on real numbers, not guesses
Natural language query capability for your key business domains
Guardrails and validation logic to prevent inaccurate answers
Integration with your existing BI platform
User guide and onboarding session for your team
2 weeks of post-launch support and tuning
// ideal_client
Is dit iets voor jou?
Companies with established data infrastructure that want to make analytics accessible beyond the data team. Common trigger: executives who need fast answers but don't want to learn BI tools, or a data team drowning in ad-hoc requests.
// plan_03
AI Integration & Evolution
// the_scenario
Your AI analytics assistant is live. But your data changes: new products launch, team structures shift, KPIs get redefined. Without ongoing tuning, the AI starts giving stale or incomplete answers, and trust erodes fast.
Wat Ik Doe
I maintain and evolve your AI analytics setup on an ongoing basis. New data sources get connected. Business logic gets updated when KPIs change. I monitor query patterns to see what people are actually asking and improve accuracy for the most common questions. I also extend capabilities over time, adding new domains and integrating new AI capabilities as they become available.
Wat Je Krijgt
Ongoing maintenance and tuning of your AI analytics system
New data source integration as your environment grows
Business logic updates when KPIs, metrics, or team structures change
Monthly usage and accuracy report
Capability roadmap: planned improvements and extensions
Priority support for issues and questions
// ideal_client
Is dit iets voor jou?
Organizations that have deployed an AI analytics solution and want to keep it accurate, relevant, and evolving. Also companies where the first pilot was successful and want to expand it to new departments or data domains.
AI Analytics Plans