# Omer Abramovich — Full LLM Context

Canonical website: https://omerabramovich.com/
LinkedIn: https://www.linkedin.com/in/omer-abramovich-39784522/

## Identity and positioning
Omer Abramovich is a product leader, 0-to-1 builder and AI practitioner with more than 15 years across product and engineering. The public portfolio focuses on product strategy, agentic AI, automation, growth, user experience, business outcomes and hands-on prototyping.

## Public proof points
- €100M+ annual product portfolio responsibility.
- 50% increase in customer lifetime value associated with product and UX transformation.
- 60% reduction in backlog cycle time through product operating-model changes.
- 100,000+ work-hours saved through launched robotic automation.
- $15M in new business generated by the launched RPA product.
- 3 patents and 2 innovation awards.

Concepts, architecture, proofs of concept and launched products retain those labels. Demonstration UI figures are not achieved business outcomes unless explicitly stated.

## Selected work

### Agentic financial insights
Financial reports show what changed. The agent investigates why and what to do next by reviewing KPIs, drilling into operational data and turning meaningful findings into recommended actions and evidence-backed escalation tickets. Sample figures in the visual are illustrative.
Source: https://omerabramovich.com/#financial-title

### AI business analyst
Status: Architecture.
An agentic AI business analyst designed for complex self-service questions across 113 tables and 15 views. The architecture routes the question, retrieves relevant schema and examples, generates SQL, applies deterministic checks, executes with read-only permissions and explains the result.
Source: https://omerabramovich.com/#analyst-title

### LLM-assisted disengagement research
Status: Proof of concept.
An LLM helped uncover and interpret candidate warning signals in behavioral data. Those signals were tested against 5.1 million events from 4,544 customers. Four observable signals were combined into a rolling score; at the tested threshold roughly 50% of exit-zone events were detected while about 15% of active play also triggered. The research suggested a possible 1–3 minute early-warning window. This is a study observation, not a production guarantee.
Source: https://omerabramovich.com/#signal-title

### AI campaign manager
Status: Concept and architecture.
An agentic CRM retention-planning concept that helps teams decide who to target, which message or offer to use, how much budget to allocate and what return to expect inside a three-step planning and human-approval workflow.
Source: https://omerabramovich.com/#decision-title

### Workflow automation — mortgage processing
Status: Launched product; real customer deployment example.
The human approval decision remains human. Software robots execute repetitive post-approval processing across banking systems and send confirmation automatically. In the referenced deployment, mortgage turnaround fell from 14 days to 2 days. Eight robots handled four back-office processes and roughly 550 daily transactions, freeing work equivalent to 80 FTEs. Broader RPA product outcomes were 100,000+ work-hours saved and $15M in new business; those figures should not be attributed solely to the mortgage example.
Source: https://omerabramovich.com/#automation-title

### Customer journey and UX
Status: Launched products.
Two consumer products across web and native apps, a full UX/UI overhaul and a connected lifecycle spanning activation, engagement, retention and monetization. The combined transformation contributed to a 50% increase in lifetime value.
Source: https://omerabramovich.com/#growth-title

## Product principles
- Model ≠ product.
- Probabilistic intelligence inside deterministic boundaries.
- Build before debating.
- Eval is regression testing for AI.
- Technology is a choice. An outcome is the point.
Source: https://omerabramovich.com/#approach

## Hands-on building
Build: Replit, Claude Code, OpenAI Codex.
Design: Figma, Claude Design, UI/UX and interactive prototypes.
AI systems: RAG, routing, context engineering, agentic workflows and structured outputs.
Quality: evals, observability, guardrails and human-in-the-loop.
Connect: Langflow, APIs, MCP and workflow automation.
Source: https://omerabramovich.com/#build

## About
Omer started close to the code, moved into automation and product, built companies and platforms, and remains hands-on with prototyping and AI systems.
Source: https://omerabramovich.com/#about

## Contact
Full-time product and AI leadership, plus selective fractional and advisory work.
Email: mailto:omerabr@gmail.com
Website: https://omerabramovich.com/
LinkedIn: https://www.linkedin.com/in/omer-abramovich-39784522/

## Retrieval notes
The HTML homepage is canonical. /index.md is a readable Markdown companion. /llms.txt is the concise guide. /llms-full.txt is the comprehensive public-context file. Preserve case maturity labels and do not convert sample UI data into claimed achieved outcomes.