Enterprise AI just moved deeper into the daily workflow. Harmony, an AI platform built to handle employee support requests from inside Slack and Microsoft Teams, has raised a $34 million seed round led by Lightspeed Venture Partners — the latest signal that internal workplace automation is becoming a serious investment category.

The round included participation from Hitachi Ventures, Fin Capital, Mercer Ventures, and Operator Partners, along with angels including Assaf Rappaport (co-founder of Wiz) and Ofir Ehrlich (CEO of Eon.io). The announcement came on July 28, 2026, barely a year after Harmony emerged from stealth.

What Harmony Actually Does

Harmony deploys AI agents inside the collaboration tools employees already use. Rather than asking staff to navigate a separate ticketing system or HR portal, Harmony sits inside Slack or Microsoft Teams and handles requests as conversational messages.

The platform draws on a context graph — a live model of each employee’s identity, devices, applications, permissions, and work history — to give agents the context they need to act, not just respond. When an employee asks for access to a new software tool, the agent can verify their role, check existing permissions, and initiate the provisioning request without routing it through three different teams.

Harmony ships with more than 100 prebuilt agents that cover IT, HR, finance, procurement, and legal. The company reports a 70% no-touch resolution rate, meaning seven out of ten requests are handled by the agent without any human intervention.

Deployment is designed to take days, not months — a deliberate design choice that speaks directly to one of the most common complaints about enterprise software: the gap between the demo and the live rollout.

The Founders Know How to Sell to Enterprises

Harmony was founded by Nitzan Shapira and Ran Ribenzaft, who previously built and sold Epsagon, a cloud observability company, to Cisco for $500 million. With Epsagon, they built developer tooling. With Harmony, they are building for every employee.

Shapira put the problem plainly: “Most organizations have accumulated hundreds of systems, workflows, and processes over the years, but every new layer of software creates more complexity for employees and more work for the teams supporting them. We built Harmony around a simple idea: employees shouldn’t have to navigate multiple back-office systems just to get work done. After using ChatGPT and Claude in their personal lives, employees expect the same from the tools they use at work.”

That consumer-to-enterprise expectation gap is real. Employees who can ask a personal AI assistant anything, instantly, are increasingly frustrated by corporate helpdesk tickets that take days to resolve. Harmony is betting that closing that gap is worth a significant business.

What This Means for Business

The Harmony funding round is worth paying attention to for a few reasons beyond the headline number.

AI agents are going where the work happens. The platform does not ask employees to adopt new software. It meets them in Slack and Teams — where they already spend their day. That approach removes one of the biggest barriers to enterprise AI adoption: behavior change. If the agent is already inside the chat window, there is no friction to using it.

Context is the moat. Harmony’s context graph — connecting employee identity, roles, history, and permissions — is what allows agents to take action rather than just provide information. Generic AI assistants can tell an employee what the HR policy says. Harmony’s agents can act on the policy: approving a request, triggering a workflow, or escalating to the right person. That difference between information and action is where real automation value lives.

The 70% no-touch rate is a meaningful benchmark. For businesses evaluating AI agents for internal operations, this number matters. If seven in ten employee requests are handled without human involvement, that translates directly into reduced load on IT and HR teams — and faster resolution for employees who no longer wait in queues. It is the kind of ROI number that makes a procurement conversation straightforward.

The caliber of angels is a signal. The Wiz founding team and other enterprise software veterans investing in Harmony suggests that people who have built and scaled enterprise products see something credible here. Wiz itself grew from zero to $500 million ARR in four years — the founders know what enterprise adoption at scale actually looks like.

For organizations already thinking about how to deploy AI agents internally, Harmony is one of the cleaner implementations to watch. The combination of context-aware agents, a Slack/Teams native experience, and founders who have done this before gives it more structural credibility than most seed-stage enterprise AI pitches.

The question for most businesses is not whether internal AI agents are coming — it is which workflow gets automated first.

---

Enterprise DNA helps organizations build the data and AI capabilities to get ahead of shifts like this. If you are thinking through how AI agents fit into your operations, Omni Ops is where that conversation starts.