Adam Shamos

Core Expertise and Technical Focus

• Time Orchestration - Pioneering the shift from reactive calendars to proactive AI systems that manage time, resources, and coordination end-to-end across organizations.
• Scheduling Orchestration - Advanced rule engines, constraint solving, and multi-participant coordination across calendars, CRMs, messaging platforms, and enterprise tools.
• Artificial Intelligence and NLP - Conversational interfaces and natural language processing that enable scheduling, updates, and automated actions without human intervention.
• Resource Optimization - Algorithmic matching of supply and demand under complex constraints to maximize resource utilization and operational efficiency.
• Enterprise SaaS Architecture - Deep integrations with Microsoft, Google, Salesforce, and hundreds of calendar, CRM, ERP, and scheduling platforms.
• API Development - Creating developer-first APIs that expose advanced scheduling capabilities to third-party applications and enterprise systems.

Industry Applications

• Healthcare Systems - Patient scheduling, resource allocation, staff coordination, and regulatory compliance automation.
• Automotive and Manufacturing - Sales scheduling, service coordination and resource utilization, and workforce optimization.
• Government and Defense - Secure scheduling systems, resource management, and operational coordination.
• Enterprise Operations - Meeting orchestration, project coordination, and cross-functional team alignment.
• Finance - Financial planning, resource allocation, and compliance automation.

Track record

Before TimeVerse, Adam founded Tag a Time Ltd. in 2012. The platform led enterprise scheduling across healthcare, automotive, insurance, academia, government, and finance, introducing elastic scheduling, advanced resource management, and robust API integrations.

From 2016-2018, he also founded and served as Research and Tech Lead for Moed Artificial Intelligence (Moed.ai), an applied research company focused on advancing natural language processing (NLP) and conversational AI for scheduling automation. The company operated as an R&D lab, experimenting with embedding intelligent time-management agents into real-world digital environments. In collaboration with Microsoft’s ISE team, Moed published technical explorations on:

• Creating a Single Bot Service to Support Multiple Bot Applications (a multi-tenant bot architecture).
• Collecting and completing form data via conversation (applied slot filling research).
• Building LUIS models for unsupported languages (introducing hybrid MT+LUIS training).
• Unit testing strategies for conversational bots (novel for NLP systems at the time).

Thought Leadership and Vision

Adam Shamos is a recognized thought leader in Time Orchestration and AI-driven scheduling systems. His research and writing focus on the fundamental transformation from tool-centric calendars to intelligent AI systems that anticipate needs, enforce organizational cadences, and prevent missed opportunities. His work explores multi-channel coordination, rule-based scheduling engines, and intelligence layers that seamlessly connect calendars, CRMs, messaging platforms, and voice communications.

Core Research Themes

• Calendars as Orchestration Engines - Transforming passive scheduling tools into proactive coordination systems that drive organizational outcomes.
• Multi-Channel AI Coordination - AI systems that coordinate people, resources, and communication channels across email, voice, messaging, and enterprise platforms.
• Developer-First Scheduling APIs - Exposing advanced scheduling orchestration capabilities through clean, powerful APIs that developers can integrate without rebuilding complex scheduling logic.
• Operational Outcomes Focus - Measuring success through tangible business results: reduced no-shows, optimized resource utilization, and improved coordination efficiency.
• Enterprise Integration Strategy - Building scheduling systems that work within existing enterprise ecosystems rather than requiring complete platform replacement.
• Organizational Resource Optimization - Maximizing ROI and Business Value Delivery (BVD) in scheduling through intelligent resource allocation algorithms that optimize organizational capacity, reduce operational costs, and drive measurable business outcomes across enterprise workflows.

Latest Publications

How to Move from AI Pilot to Production: A Practical Guide (2025) - Published in Calcalist, this article provides a practical framework for organizations to transition from AI experimentation to real value creation, addressing the common challenges that cause 95% of AI pilots to fail and offering concrete steps for successful implementation.

The $40 Billion AI Wasteland: Why 95% of Pilots Fail and How to Join the 5% (2025) - A framework for successful AI implementation in the enterprise, outlining the six key patterns that separate successful AI pilots from the 95% that fail. Originally published on LinkedIn

From Reactive Calendars to Proactive Time Orchestration (2025) - A comprehensive examination of AI-powered scheduling orchestration and the future of time management. This paper introduces the Time Orchestrator, a new category of autonomous AI agent that transforms passive calendars into proactive, intelligent systems. Download PDF version

The Time Ledger: Your Strategy in 15‑Minute Truths (2025) - A strategic framework for using calendar data as business intelligence. This article introduces the concept of "Time Exposure" - treating 15-minute calendar blocks as an unfiltered profit-and-loss statement for organizational attention, revealing the gap between strategic intent and actual execution.

The Great Comeback of the Phone Call (Chiportal) - An article discussing the resurgence and importance of voice communication in the digital, AI-driven era of enterprise.

Publications and Speaking

Adam regularly speaks at technology conferences and publishes research on AI scheduling, enterprise automation, and the future of time management in digital organizations. His insights have influenced scheduling system development across healthcare, automotive, government, and enterprise sectors.

Contact Adam Shamos