Investor Q&A Session - Elevate '26 - MONDAYCOM LTD

Explicit Guidance:

• No financial guidance provided: Management explicitly stated they will avoid discussing near-term financial numbers or Q3 earnings, focusing instead on strategy and product.
• Capital Allocation: Management confirmed a completed $870M buyback program and outlined future intent: cash will primarily be retained for business operations and potential M&A (projected in the "tens of millions," not hundreds of millions). No additional buybacks are currently planned, though flexibility remains for the future.
• Cost Structure: Citing a "growth savings" initiative of ~$100M post-RIF, management indicated the majority of these savings will be reinvested into the business, with continued focus on efficiency regarding AI costs and headcount investment.
• Monetization of API: Announced plans to introduce a consumption-based pricing model (hybrid of seats and usage) for API limits and AI credits (covering "Vibe," agents, AI columns, and workflows) over the coming year.

Business-Segment Outlook:

• Monday Frontier (Services): Establishing a new managed services organization to scale massively through 2027. Focus is on hiring for this team "this year and next year" to drive deep adoption and implementation for clients, particularly in the enterprise and mid-market segments.
• Harmony (Voice AI): Positioned as a separate product (harmony.ai) with a distinct go-to-market strategy. Focus is on the mid-market to enterprise segment (not SMB), targeting high-growth use cases in customer service and sales.
• Product Evolution: Strategic shift from viewing monday.com solely as "work management" to an "AI workspace for teams." Management expects the Total Addressable Market (TAM) to dramatically increase as customers use the platform for critical business processes across CRM, Service, and Dev, not just project management.
• Customer Cohorts: Strategy is aggressively focused on "going up-market." Current enterprise accounts (>1,500 employees or equivalent spend) represent over 40% of the base (up from single digits in 2021) and are expected to grow. AI agent adoption is reported to be three times higher in the enterprise segment compared to SMBs.
• Expansion Vectors: New hybrid pricing model (seats + consumption) is expected to unlock new expansion opportunities for mid-market and enterprise accounts, removing previous caps on usage limits tied solely to headcount.

Market and Competitive Outlook:

• AI Adoption Phase: Industry has transitioned from "token maxing" to a focus on ROI and actual business impact. Customers demand deep adoption and guidance rather than just software access.
• Competitive Landscape: Acknowledges "noisy market" fatigue among customers regarding AI; positions monday.com's trusted brand and "enterprise-safe" architecture (guardrails, governance) as a key differentiator.
• Product Interoperability: Expectation that borders between software quadrants (Work, CRM, Service, Dev) will continue to blur. Strategy involves connecting to third-party agents and data sources (Clutch, HPT, etc.) rather than building a closed ecosystem.
• Voice Market: Views the contact center/voice AI market as "ripe for disruption," expecting an "explosion" of agents handling inbound/outbound calls, scheduling, and inquiries over the next 12–24 months.
• Distribution Shift: Anticipates a market-wide shift from traditional search/SEM-based discovery to AI-driven recommendations and "agent-led growth," with exponential growth in MCP (Model Context Protocol) usage already observed.

Macro / Industry Outlook:

• Economic Environment: Management notes continued "pressure on the top of the funnel" in marketing/SEM but remains focused on seizing opportunities in AI-driven discovery.
• Regulatory/Security: Cites enterprise concern over "guardrails" and data governance as a primary driver for purchasing managed services. Trust in data handling is a critical requirement for enterprise AI adoption.
• AI ROI Reality: Industry-wide realization that while AI technology exists, there is a gap in implementation; customers need experts to bridge the gap between technology availability and business value.

Strategic Initiatives:

• Monday Frontier Launch: Creation of a dedicated managed services team to handle deployment, strategy, and change management for customers. Goal is to have this available for the "majority of existing and new deals" by 2027.
• AI Agent Orchestration: Development of a unified credit system for all AI features to simplify pricing. Launch of an "Agent Directory" to allow customers to share and institutionalize agents across the organization.
• Internal Productivity: Leveraging internal "Gentic week" to build AI assets; current internal usage includes 30% of R&D code being auto-generated. Expect a 18–24 month transition period before significant internal headcount reductions or efficiency gains are fully realized in financials.
• Harmony Acquisition: Integration of acquired startup One AI into the "Harmony" voice product, scaling it as a standalone offering for outbound/inbound voice interactions.
• Partnerships: Deepening integrations with Entropic and JetGPT to leverage AI-led discovery channels.

Risks and Headwinds to Outlook:

• Implementation Complexity: Acknowledges that enterprise adoption is slowed by complex legacy infrastructure and the difficulty of migrating existing workflows to the platform.
• Market Noise: Customer fatigue regarding the volume of AI messaging and competing vendors could slow initial adoption without a trusted partner (which Frontier addresses).
• Pricing Volatility: Transitioning from a predictable seat model to consumption-based pricing faces customer resistance regarding "predictability," though management believes the industry is shifting toward this model regardless.
• AI Implementation Gaps: Risk that customers fail to see ROI if they attempt to build agents in silos without the necessary context, data, and change management support (which Frontier aims to fix).

Management Tone on the Future:

• Confidence Level: High confidence in the strategic pivot to "AI workspace" and "managed services." Management expresses strong belief that the TAM is expanding, not shrinking, due to AI capabilities.
• Strategic Clarity: Emphasizes a "dual focus" (SMB simplicity vs. Enterprise complexity) but signals a clear strategic priority on the enterprise/mid-market segments for growth and AI monetization.
• Hedging: Uses language like "moving target" regarding AI pricing and acknowledges an 18–24 month "transition period" for internal efficiency gains. Avoids specific financial targets but confirms the trajectory of reinvesting savings into growth and M&A.
• Long-term Vision: Projects a future where agents, humans, and data converge within the platform, with voice and agent interactions becoming standard operating procedures for businesses within the next few years.

Miscellaneous:

• Definition of Enterprise: Re-defined as customers with 1,500+ employees (previously 1,000) or equivalent spend, though flexibility exists for high-potential mid-market accounts.
• Internal AI Usage: Finance team has transitioned to using AI for modeling and automation; management expects this to replace repetitive actions but not immediately reduce headcount counts in the short term.
• Discovery Channels: Notable shift from traditional SEM to AI-driven discovery, with MCP usage growing "exponentially month over month."