From Chatbots to Core Business Process Automation
Enterprise AI agents are software systems that can independently carry out multi-step business processes across different tools and departments, moving beyond simple question answering to handle operational work such as resolving tickets, verifying transactions, completing approvals and driving revenue-generating workflows in production environments. These AI agent platforms are no longer sidecar chatbots that summarize information; they are becoming an operating layer for business process automation, integrating with existing systems and taking actions that employees used to perform manually. That is the real story behind three new funding rounds: Harmony’s USD 34 million (approx. RM156.4 million) seed to automate employee support, Freehand’s USD 75 million (approx. RM345 million) Series B for autonomous supply chain operations, and Encore AI’s USD 30 million (approx. RM138 million) Series A to turn customer conversations into revenue. Together they show that enterprise AI agents have moved from experiment to infrastructure.
Harmony: AI Agents as the Front Door for Employee Work
Harmony’s bet is blunt: the service portal is dead, and the new front door for work is an AI agent inside Slack or Microsoft Teams. The company has raised USD 34 million (approx. RM156.4 million) in seed funding to expand an AI platform that resolves employee requests across IT, HR, finance, procurement and legal functions. Instead of forcing people through maze-like portals and ticketing forms, Harmony gives employees one conversational entry point to retrieve information, request approvals and complete tasks from where they already chat. According to the company, its AI agents use enterprise context like role, app access and prior activity to decide what an employee is allowed to do, trigger the right workflow and complete requests, cutting resolution times from days to minutes while reducing repetitive work for internal teams. Harmony claims this no-touch architecture can resolve around 70% of service tickets autonomously and can be deployed within days using more than 100 prebuilt agents that sit on top of existing HR, IT and finance systems rather than replacing them.
Freehand: Autonomous Operations for Supply Chain Spend
If Harmony attacks internal tickets, Freehand goes after one of the messiest arenas in business: global supply chain spend. The startup has raised USD 75 million (approx. RM345 million) in a Series B round to scale autonomous AI agents that manage complex supply chain spend and back-office operations for large enterprises, including well-known global brands. Instead of handling standard card expenses, Freehand’s agents work on non-standard logistics, raw materials, parts and labor, inside existing company systems. The software reads contracts, policies, emails and internal data to verify bills, track operational milestones and even handle vendor negotiations, supporting billions in payments across dozens of countries and currencies without human supervision, according to the company. This is not “copilot” territory; it is autonomous operations. As tariffs, taxes and immigration policy strain traditional outsourcing, the message to CFOs is clear: AI agent platforms can reduce dependence on offshore back offices and free internal teams for higher-value work.
Encore AI: Turning Conversations Into Revenue, Not Call Deflection
Customer service AI has long been obsessed with deflection: keep the human away. Encore AI is taking the opposite stance, using AI agents to convert, not deflect. The company, formerly Insait IO, announced a USD 30 million (approx. RM138 million) Series A led by investors including financial institutions that first came on board as customers, with the goal of expanding global deployment of its enterprise AI platform. Encore’s patented Interaction Mining studies an organization’s top performers, learns which actions drive results and deploys those behaviors as AI agents that operate autonomously or alongside live teams. These agents run across channels and languages while meeting compliance demands in regulated sectors like banking and insurance. The platform can go live in weeks by ingesting calls, chats, emails and CRM data without months of upfront configuration and is designed to resolve a large share of inquiries across chat, email, voice and messaging channels so companies can absorb more volume without matching headcount growth. In other words, Encore wants enterprise AI agents to own revenue workflows, not just support queues.
The New Playbook: Integrated, Multi-Domain AI Agent Platforms
Across Harmony, Freehand and Encore, a pattern is clear: AI agent platforms are shifting from single-task automation to multi-domain, integrated operating layers. Harmony aims to evolve from IT ticket helper into a full Enterprise Service Management platform spanning infrastructure, cybersecurity, applications and ERP, all while preserving investments in systems of record for HR, IT, identity, finance and more. Freehand’s agents live inside existing logistics and finance stacks, verifying spend and managing milestones without forcing enterprises onto brand-new infrastructure. Encore has moved from a basic conversational tool to a broader agentic platform tied into CRM and service workflows for banks, insurers and healthcare providers. This matters because funding is now following production deployments, not experiments. Harmony’s expansion reflects rising demand for AI that performs work, not just answers questions, while Freehand describes itself as the first global-scale AI rollout touching daily transactions for many customers and Encore sees agentic AI shifting from pilots to production across customer channels. The real competitive edge will go to enterprises that treat AI workflow integration and autonomous operations as a core architecture choice, not a side project.
