12 citations · 17 across the 10 of their papers we have counts for
10 papers
Governance by Construction for Generalist Agents
Segev Shlomov, Iftach Shoham, Alon Oved +7
Enterprise agents are increasingly expected to operate autonomously across tools and interfaces, yet production deployments require governance by construction. Systems must specify…
AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems
Hadar Mulian, Sergey Zeltyn, Ido Levy +3
We introduce a comprehensive validation framework for LLM-based agentic systems that provides systematic diagnosis and improvement of reliability failures. The framework includes f…
TabAgent: Distilling LLM Agent Components into Cheap Classifiers
Ido Levy, Eilam Shapira, Yinon Goldshtein +5
Agentic systems, AI architectures that autonomously execute multi-step workflows to achieve complex goals, are often built using repeated large language model (LLM) calls for close…
From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production
Segev Shlomov, Alon Oved, Sami Marreed +9
Agents are rapidly advancing in automating digital work, but enterprises face a harder challenge: moving beyond prototypes to deployed systems that deliver measurable business valu…
Towards Enterprise-Ready Computer Using Generalist Agent
Sami Marreed, Alon Oved, Avi Yaeli +6
This paper presents our ongoing work toward developing an enterprise-ready Computer Using Generalist Agent (CUGA) system. Our research highlights the evolutionary nature of buildin…
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
Ido Levy, Ben Wiesel, Sami Marreed +4
Autonomous web agents solve complex browsing tasks, yet existing benchmarks measure only whether an agent finishes a task, ignoring whether it does so safely or in a way enterprise…
IDA: Breaking Barriers in No-code UI Automation Through Large Language Models and Human-Centric Design
Segev Shlomov, Avi Yaeli, Sami Marreed +4
Business users dedicate significant amounts of time to repetitive tasks within enterprise digital platforms, highlighting a critical need for automation. Despite advancements in lo…
SNAP: Semantic Stories for Next Activity Prediction
Alon Oved, Segev Shlomov, Sergey Zeltyn +2
Predicting the next activity in an ongoing process is one of the most common classification tasks in the business process management (BPM) domain. It allows businesses to optimize…
Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges
Sivan Schwartz, Avi Yaeli, Segev Shlomov
Trust in AI agents has been extensively studied in the literature, resulting in significant advancements in our understanding of this field. However, the rapid advancements in Larg…
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration
Sergey Zeltyn, Segev Shlomov, Avi Yaeli +1
Business processes that involve AI-powered automation have been gaining importance and market share in recent years. These business processes combine the characteristics of classic…