Onpilot - An AI workforce customized to your business
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Onpilot creates specialized AI workers customized to your systems, workflows, and processes. Onpilot monitors operations, identifies risks, uncovers opportunities, recommends actions, and automates work across 3,000+ integrations. Deploy in Slack, Teams, WhatsApp, your SaaS, or on-premises.


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Onpilot
Hey! We built Onpilot because businesses already have the data they need.
The problem is nobody is connecting the dots.
Most AI waits for questions or they are just simple questions-answers.
Onpilot starts with how your business operates and learns with time.
ā Identifies risks before they become problems
ā Uncovers opportunities before they're missed
ā Recommends actions in your business
ā Creates live dashboards
ā Schedules the tasks and reminders
ā Helps get the work done across 3000+ tools
An AI workforce customized to your systems, workflows, and processes.
Would love your feedback and thoughts š
@onpilotaiĀ The biggest hurdle I see for my audience isn't finding data, but trusting the AI to take the right action across multiple tools. How does Onpilot handle 'hallucinated actions' or safety checks before it schedules a task or sends a message?
Onpilot
@onpilotai @diana_nadim2Ā Great question.. trust is everything when AI starts taking actions.
You can require approval before anything sends, updates, or schedules, and every action is tied back to the data that triggered it.
We also keep a tamper-evident audit trail, so teams can see what happened, when it happened, and why.
@onpilotaiĀ congrats on the launch Gunit. How do you deal with business process exceptions, wron or just incomplete data?
Onpilot
Thank you so much! :) @zolani_matebeseĀ
For process exceptions we define approval flows, escalation paths and exception handling rules upfront, so the AI isn't improvising when something unexpected happens. And for incomplete or incorrect data, we validate data sources and have the AI pause or ask for human input when confidence is low rather than guessing.
In our experience... reliable AI is as much about good workflows and good data as it is about the model itself
the proactive part is what stands out. most AI tools wait for you to ask them something. identifying risks and opportunities before you even think to check is a different workflow entirely. curious how the 3,000+ integrations work in practice though... does it actually learn your specific workflows over time or is it more of a rules-based setup where you define what to watch for
Onpilot
@tina_chhabraĀ
It's a hybrid by design. You define what matters upfront, but Onpilot also builds organizational memory over time. It learns your business context, key people, processes, past decisions, and how work actually gets done, so the insights become more relevant and less noisy.
As for the 3,000+ integrations, they let Onpilot connect with the tools your team already uses, pull information when needed, and take action across systems from a single place.