From Point Solutions to Enterprise AI Agents at Scale
A new wave of enterprise AI agents is moving beyond single-use assistants toward deeply embedded systems that run critical workflows. Dust, for example, has raised USD 40 million (approx. RM184 million) in Series B funding to build what it calls a “multiplayer” AI operating system. The company reports more than 3,000 organisations using its platform and over 300,000 AI agents deployed, signalling that agentic AI is no longer a lab experiment but a production reality. The core shift is architectural: instead of isolated chatbots, enterprises are deploying fleets of specialised agents connected to internal data, tools and permissions. These agents collaborate with employees inside existing workflows, turning AI into a persistent layer for decision-making and execution. As enterprises standardise on this model, vendors that can orchestrate, govern and scale these agents are attracting aggressive investor interest.
Monaco and the New AI-Native Sales Stack
In sales, the funding surge is clearest in AI-native platforms that reimagine the entire go-to-market stack. Monaco has secured a USD 50 million (approx. RM230 million) Series B to scale its AI sales platform, bringing total funding to more than USD 85 million (approx. RM391 million). Rather than layering AI onto legacy CRM, Monaco aims to be an end-to-end AI sales platform: building target lists, orchestrating outbound, capturing interactions and advancing deals in one system. The company reports adding seven figures of ARR in each of its first three months after launch, suggesting robust demand for AI sales platform funding that delivers measurable revenue impact. By consolidating prospecting databases, sequencing tools and conversation intelligence, Monaco reduces tool sprawl while creating a single “system of action” for revenue teams. This aligns with a broader convergence of sales and marketing, where shared data and agent-driven automation can continuously optimise pipeline performance.
Pivot and the Rise of AI Procurement Software
Procurement and finance operations, long dominated by spreadsheets and email chains, are also being reshaped by enterprise AI agents. Pivot has raised USD 40 million (approx. RM184 million) in an oversubscribed Series B to expand its AI-powered procurement and finance platform, bringing total funding since 2023 to USD 70 million (approx. RM322 million). Positioned as an AI operating system for procurement, Pivot connects sourcing, approvals, purchasing, invoicing, payments, budgets and reporting into a single environment. Its agentic AI capabilities shift repetitive approval and reconciliation tasks from humans to machines, while maintaining tight financial controls. Integrated with ERP and financial systems, Pivot gives teams real-time visibility into spending commitments before they hit the general ledger, reducing surprises at close. With operations in more than 25 countries and approximately USD 3 billion (approx. RM13.8 billion) in invoices processed annually, Pivot illustrates how AI procurement software can both automate grunt work and upgrade governance.
Viktor and the Emergence of the AI Coworker
While Dust, Monaco and Pivot re-architect systems, Viktor focuses on embedding AI directly into everyday collaboration tools. The startup, which describes itself as an “AI coworker,” has raised €64.7 million (approx. RM331 million) in Series A funding after reaching a €12.9 million (approx. RM66 million) revenue run rate within ten weeks of launch. Viktor lives inside Slack and Microsoft Teams, integrating with existing business systems to act like an AI employee rather than a standalone tool. Teams use it to generate reports, dashboards, apps, campaigns, code and recurring automations across their current stack. Crucially, Viktor studies how work gets done, identifies repetitive, high-leverage tasks and proposes projects it can own, aligning with a broader shift toward AI agents that take responsibility for outcomes. This “AI hire” framing resonates with organisations looking to augment headcount without adding management overhead, and shows how enterprise AI agents can become integral team members.
Toward a Multiplayer AI Operating System for the Enterprise
Taken together, Dust, Monaco, Pivot and Viktor highlight a convergence: enterprise AI agents are evolving into a multiplayer AI operating system that spans functions. Dust provides the underlying orchestration layer, enabling fleets of agents to share context, goals and artefacts across teams. Monaco focuses this model on revenue, turning AI into the backbone of outbound and pipeline management. Pivot applies agentic AI to procurement and finance, automating approvals and spend governance at scale. Viktor enters at the collaboration layer, acting as an AI coworker inside chat platforms. Investors are backing this architecture because it compounds: as more workflows plug into shared agents and data, each new automation boosts the value of the system as a whole. The next competitive edge for enterprises will not be a single assistant, but a coordinated network of agents collaborating with humans across sales, procurement and operations.