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.
This page clarifies how Ivan Esegovic integrates AI, automation, data workflows and knowledge-based assistants into transformation programs and process modernization.
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
- What kind of transformation projects can Ivan lead?
- Show me his experience in AI, automation and data
- Show me the most relevant case studies
- How does he work across business, stakeholders and delivery?
- Which technologies, systems and platforms does he use?
- What is his approach to complex digital transformation?
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.