CRM, Finance, Work OS, HR, Approvals, AI, and dashboards — designed as one system where every module shares data, follows the same workflows, and reports into the same command center. Not 11 apps; one platform.
OONH does six jobs for a growing Indian business. It answers enquiries on time, chases unpaid invoices on WhatsApp, sends approvals to the right person, shares out tasks by workload, warns you before deadlines are missed, and shows the owner what is late each day. Your team keeps using WhatsApp.
Every module has its own dedicated page with a live demo, features, and setup guide.
Set up rules once and the system follows them forever. Automatic follow-ups, reminders, deadlines, and backup plans.
See every lead, deal, and client in one place. OONH ranks leads so your team calls the most promising ones first.
Send invoices and collect payments without chasing. Reminders stop the moment your client pays.
Tasks, projects, and deadlines — with automatic assignment and reminders when things fall behind.
Leave requests, attendance, and approval chains that route correctly and remind people who forget.
One dashboard that shows what's on track, what's at risk, and where your team needs help.
Prioritizes and de-risks work — scores leads, reads documents, summarizes conversations, and flags problems early.
Employees see their tasks. Clients see their projects and invoices. Leadership sees the big picture.
Send and receive WhatsApp messages from OONH. AI reads messages and turns group chats into structured actions.
Build professional websites with forms that feed leads directly into your CRM pipeline.
Every important item gets a deadline. If someone misses it, the system reminds, then alerts, then reassigns.
Each person sees only what they need. Admins control permissions per module and per action.
Every action is logged — who did what, when, and why. Ready for any compliance check.
Each business gets a completely separate workspace. No data leaks between organizations.
30 minutes. No slides. Just the real product running on your kind of data.