AI Agents Are Quietly Becoming Enterprise Headcount
Enterprise AI agents are specialized software systems that can understand business context, take actions across company applications, and autonomously complete end‑to‑end workflows such as customer interactions, IT support, or sales research without constant human supervision. That shift—from tools that answer questions to agents that do jobs—is where the next wave of value is forming. Three young companies, Thira, Sable and Vieu, show that investors now care less about general-purpose AI demos and more about concrete agents that reduce tickets, shorten sales cycles and surface warm introductions. Their bets make a clear statement: the near-term return on AI comes from replacing repetitive digital work, not reimagining intelligence in the abstract.
Thira raised USD 21 million (approx. RM96.6 million) in seed funding to build enterprise AI agents that handle back-office tasks across IT, finance and HR. Sable secured USD 45 million (approx. RM207 million) to grow Aidan, an AI employee that conducts customer interactions by moving through software in real time. Vieu, which previously closed an USD 11 million (approx. RM50.6 million) seed round, has launched its “Business Graph,” a live AI-ready map of trusted business relationships that already serves more than 100 enterprise customers. Together, these moves show where the market expects autonomous customer service AI, AI employee software and business relationship intelligence to pay off first: wherever agents can slot into existing workflows and cut obvious costs.
Thira: Turning IT Tickets into a Self-Running Back Office
Thira is the closest thing in this trio to an AI-powered operations team. The company is building enterprise AI agents that take an IT ticket, work it across systems like ServiceNow, Jira Service Management and Freshservice, then close it out without human help. In practice, that means agents that reset locked accounts, set up laptops for new hires or approve software purchases—the low-glamour, high-volume work that keeps large firms moving.
This is opinionated software: Thira’s job listings describe agents built to “autonomously run the back-office work that consumes companies today, across IT, finance, HR, and beyond”. Backed by USD 21 million (approx. RM96.6 million) led by Madrona and founded by Apptio veterans Sunny Gupta and Kurt Shintaffer, Thira is not chasing novelty; it is chasing ticket closure rates and headcount savings. According to Gupta, CIOs have been asking for systems that not only show inefficiencies but act on them, and a recent wave of model advances convinced him those systems are finally buildable. The company is already working with 10 design partners ahead of a broader launch this fall. If Thira succeeds, “enterprise AI agents” will be judged by how many tickets disappear from ServiceNow queues, not by how clever their chat interface sounds.
Sable: Aidan as an Autonomous Customer-Facing “AI Employee”
Where Thira automates the back office, Sable pushes enterprise AI agents into the spotlight. Aidan is an AI employee designed to conduct customer interactions by moving through software, responding to questions and demonstrating products in real time. Instead of another chatbot, Aidan uses what Sable calls Interactive Intelligence—combining real-time browser control, computer vision, voice and video so the system can see a screen, select interface elements, move through workflows and explain each step.
Sable has raised USD 45 million (approx. RM207 million) to expand Aidan and is already deploying it with customers such as Notion, Decagon and several large public companies. Aidan lives inside a shared virtual workspace called a LiveBox, where it can guide prospects through qualification, live demos, onboarding and account expansion without a human present. The platform supports multiple languages and can keep context across stages of the buying journey, creating an always-on autonomous customer service AI that behaves more like a sales engineer than a FAQ bot. By turning sales call recordings, documentation and interviews into a structured “Brain” of company knowledge, Sable’s AI employee software aims to scale the skill of a firm’s best sellers to every inbound lead.
Vieu: Business Relationship Intelligence as an AI-First Data Layer
If Thira and Sable are autonomous agents, Vieu is building the relationship map that those agents will ultimately depend on. Its newly launched Business Graph is a live map of trusted relationships that drive B2B sales, marketing, recruiting and fundraising. Instead of relying on self-reported connections, Vieu infers ties between people and companies from observed signals like shared work history, co-authored research, board seats and joint ventures.
With an USD 11 million (approx. RM50.6 million) seed round behind it and more than 100 enterprise customers, Vieu competes with established sales-intelligence products and overlaps with professional networking tools but with a sharper point of view: cold outbound is wasteful when business relationship intelligence can route you to a warm path. Common use cases already include finding someone who can introduce a seller to a key decision-maker, quietly checking references on candidates, and filtering which social network connections are real versus passive. Importantly, the Business Graph can be queried directly by AI assistants and connected into CRM, email and chat systems. That makes Vieu less a standalone app and more an AI-ready data substrate that other enterprise AI agents can call when they need to know who knows whom.
Where Enterprise AI Agents Go Next
Taken together, Thira, Sable and Vieu show a pattern: the most credible AI startup funding is clustering around narrow but valuable workflows—IT ticket resolution, customer conversations, and relationship mapping—where automation directly lowers costs and speeds up revenue work. These companies are not selling AI for its own sake; they are selling fewer hires, shorter queues and warmer pipelines.
Thira’s agents promise a back office that runs itself across IT, finance and HR. Sable’s Aidan aims to handle live customer interactions end-to-end, from product qualification to account expansion, in many languages and time zones. Vieu’s Business Graph turns messy public and private signals into a structured map that an AI assistant can consult to find the best path into any account. For executives deciding where to apply AI, the lesson is direct: focus on enterprise AI agents that do specific jobs inside existing systems—autonomous customer service AI, AI employee software for repetitive digital work, and business relationship intelligence—not on abstract platforms. The market is rewarding agents that can be measured in closed tickets, converted demos and higher-quality introductions. That is where AI feels less like a science experiment and more like a new kind of colleague.
