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Harmony

AI-native ITSM and ESM platform with AI agents resolving IT and HR requests
9 ratings3.83
Saves142
CategoryBusiness
PlatformWeb
PricingFree trial

Harmony is an AI-native IT Service Management (ITSM) and Enterprise Service Management (ESM) platform designed for IT, HR, and other enterprise teams. It provides over 100 production-ready AI agents that autonomously resolve tickets and requests in workplace tools like Slack and Microsoft Teams, handling tasks such as password resets, onboarding, device issues, and application access. The platform integrates ticketing, asset inventory, SaaS management, and workflows into one workspace, enabling rapid resolution with minimal human intervention and maintaining context-aware automation.

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3.83

9 reviews

Product
4.33
Design & Polish
3.33
Performance
3.83
Mobile PageSpeed
Performance
39 out of 100, Poor
Accessibility
97 out of 100, Good
Best Practices
92 out of 100, Good
SEO
100 out of 100, Good

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Information

CategoryBusiness
PlatformsWeb
PricingFree trial
AccountNot confirmed
ListedSeptember 2026
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Website checks

Mobile PageSpeed
Performance
39 out of 100, Poor
Accessibility
97 out of 100, Good
Best Practices
92 out of 100, Good
SEO
100 out of 100, Good

Around the Web

Product Hunt142 source points · 13 comments

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! 🚀

roni_nathan2 · Imported from Product Hunt

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! 🚀

menni_alashvili · Imported from Product Hunt

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

suryansh_tiwari2 · Imported from Product Hunt

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!

nimk7 · Imported from Product Hunt