Agent / RAG
Portfolio Knowledge Assistant
Assistant grounded on the portfolio knowledge base, designed as a concrete example of applied AI with source control. Status: Live MVP.
AI & Automation
AI and automation as operational leverage, not as hype.
Ivan Esegovic uses AI and automation to reduce operational friction, clarify processes and make systems easier to govern. This page shows how that translates into practice.
What this means in practice
In the CV and portfolio, AI and automation appear in concrete ways: automated data collection, AI and automation roadmaps, clarification of low-visibility processes and stronger information foundations.
Within the portfolio, this approach also extends to the internal AI assistant: a real example of a knowledge system with controlled retrieval and responses aligned with the site content.
Suggested prompts
- Show me the most relevant case studies
- In which business contexts can he help?
- How does he work on AI, automation and processes?
- What is his experience with data, reporting and BI?
- What transformation projects can he support?
- Can he help with web apps and mobile apps?
Automation
Automation Roadmap Canvas
Working structure to identify low-clarity processes, bottlenecks and automation opportunities with measurable impact. Status: Method in use.
Dashboard
Executive KPI Console
Decision dashboard focused on throughput, bottlenecks, delivery risk and execution capacity in enterprise contexts. Status: Concept ready.
Knowledge Tool
API-first Omnichannel Blueprint
Reference framework to coordinate digital channels, integrations and cross-functional governance on customer-facing products. Status: Field-tested.