Harmony

the "60%+ auto-resolution within the first couple of weeks" number is the claim I'd want to poke at, that's a fast ramp for a helpdesk tool since most of the friction in IT support isn't the request itself, it's edge cases where the AI has to know when to escalate instead of confidently doing the wrong thing. what does the failure mode look like when an agent gets a request wrong, does it just get flagged by the employee or is there a way it catches its own uncertainty before acting on something like access changes?

Mid-market teams already use Okta or Google Workspace self-service for password resets and app access. Chat triage in Slack was never the bottleneck in internal IT. The real problem is audit compliance, rogue SaaS seats nobody deprovisions, and messy approval hierarchies. An agent auto-resolving access across HR or Finance tools will not have the verified approval authority an auditor needs.

Love it! looks super interesting, and a true problem space! IT teams have always struggled, from experience back in the old days :)Best of luck!

The hardest part of building internal tools isn't the model, it’s getting reliable context out of your corporate tools. If your HR suite, MDM, and directory services don't talk to each other seamlessly, your AI is operating blind. Once your data layer is clean and accessible with Harmony, adding automation takes minimal effort.

Lfg! What a great idea team love itCongrats on the launch keep shipping have some ideas in mind would love to connect

As VP of R&D at Harmony, what stands out to me isn't only the 60%+ auto-resolution number, it's the architecture underneath it: the model never executes actions directly, it only matches requests to pre-approved workflows, and every object it references has to resolve against your real IdP/MDM data or the request just fails. That's the right answer to "what happens when the agent is wrong or fed a malicious prompt," which is the question every security team actually asks and most AI tools dodge. Scoped credentials, eligibility rules, human approval on sensitive actions, and a full audit trail mean prompt injection can steer the model's interpretation but has nowhere to steer it to. That's what building agentic AI the way a security team would've designed it themselves looks like! 🚀

I’m obviously biased because I work at Harmony 😊 but as the person leading Operations here, I also get to experience the product as a user every single day.Ops is made up of small, repetitive requests: onboarding, offboarding, access, permissions, apps, and a million other things that come up during the day. Having Harmony take care of so many of these directly in Slack saves me a lot of time (and a lot of back and forth 😅).Very proud to be part of this team and to actually use what we’re building every day. Congrats team! 🚀

Congrats!

Harmony dev here, so pinch of salt. Everyone asks about the agents, but most of the hard part was identity. The person asking in Slack has to be provably the same human as the Okta user, the Jamf device owner and the HiBob record, and their name is spelled three different ways across those. Get that right and the agent part almost falls out. Get it wrong and you've built something that confidently resets the wrong person's password.

Hey Product Hunt! I'm Ran, co-founder and CTO of Harmony.

After our previous company (Epsagon, acquired by Cisco for $500m), Nitzan and I spent years talking to IT leaders at fast-growing companies and kept hearing the same story: the helpdesk eats the team's week. Password resets, app access, onboarding, "my laptop is slow" - hundreds of repetitive requests, and the tools built for them (Freshservice, Jira Service Management and friends) were designed to track the work, not do it.

So we built Harmony as an AI-native ITSM platform, with the agents at the core instead of bolted on:

- Employees ask in Slack or Teams. Agents verify identity, take the action in your systems (Okta, Entra ID, Google Workspace and 100+ integrations) and close the loop. No portal, no form.
- 100+ production-ready agents out of the box, plus a builder for your own workflows.
- Ticketing, asset inventory, SaaS management, onboarding/offboarding and AI governance in one workspace, so the agents actually have the context to act safely.
- Customers typically reach 60%+ auto-resolution within the first couple of weeks. Cyera is at 89% of employee requests auto-resolved; n8n runs IT for hundreds of employees with a single IT person.

We'd love your feedback, especially from IT folks who have lived with legacy ITSM tools. What's the first thing you'd hand off to an AI agent? I'll be here all day answering questions.