Onpilot
An AI workforce customized to your business
215 followers
An AI workforce customized to your business
215 followers
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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Launch Team
World model AI : Sharm SEKAISimulate your idea on a living world.
Promoted
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.
→ Identifies risks before they become problems
→ Uncovers opportunities before they're missed
→ Recommends actions in your business
→ Creates live dashboards
→ Schedules the tasks and reminders
→ Helps get the work done across 3000+ tools
An AI workforce customized to your systems, workflows, and processes.
Would love your feedback and thoughts 🙌
@onpilotai 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?
@onpilotai @diana_nadim2 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.
@onpilotai congrats on the launch Gunit. How do you deal with business process exceptions, wron or just incomplete data?
Thank you so much! :) @zolani_matebese
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
Congrats on the launch! The proactive AI workforce angle is really interesting. A lot of AI tools sound powerful but the hard part is getting teams to adopt them in day-to-day operations. What’s the fastest “first workflow” where teams usually see value with Onpilot? risk alerts, opportunity discovery, dashboards, or automating follow-up tasks?
@navjot_singh21 Thank you, Navjot! The fastest value usually comes from one painful daily workflow...let's say most often proactive risk alerts or follow-up automation.
For example, Onpilot can watch across tools like Slack/Teams, CRM, support, or ops systems, spot things like missed follow-ups, delayed tasks or risks before they become bigger issues, then explain what happened and suggest the next step.
Dashboards and opportunity discovery comes next once there’s more workflow context. We’ve found it works best when teams start small, see value quickly, and then expand.
@onpilotai That makes sense, starting with one painful workflow is probably the right way to build trust before expanding automation.
For proactive risk alerts, do teams usually define the risk signals upfront, or does Onpilot learn patterns over time from connected tools and past workflows?
@navjot_singh21 Great question! The agent learns your patterns over time and will recommend setting up a recurring analysis, then it runs those proactive risk checks on a schedule, surfacing alerts and a recommended action for each, and waits for your approval before anything happens.
@divjot_singh_sarna I am so glad you asked this question because this is EXACTLY the kind of smart response Onpilot provides. Onpilot doesn’t just identify something and trigger an action. It explains the “why” behind it first and then next action to take. Here's what a response looks like:
how does Onpilot keep the knowledge base fresh? If our SOPs change weekly, does it re-index automatically or do we have to push updates?
@jayna_yang Great question. We have two types of knowledge bases: docs you upload are parsed + embedded once; or you connect a Drive/SharePoint/OneDrive folder and we index it into the agent's retrieval layer.
For changing SOPs you don't re-upload each doc, you update the folder and hit re-sync (one click / API), and we only re-process what actually changed, not the whole folder.
We are working on the change-detection so it stays current with zero manual steps.
@nischaydhiman Awesome, the change detection sounds really exciting. Genuinely love the direction you're taking with this.
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
@tina_chhabra
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.
@nischaydhiman The proactive framing changes the use case entirely. Most teams are asking "what happened?" after the fact. The interesting stress test is what Onpilot does when two data sources contradict each other and an action is already queued. Does it pause and flag, or does it proceed on the dominant signal?
@alex_iliescu Actions can be routed through approval workflows before they're executed.
But honestly, today the "two sources disagree" catch happens because the action is paused for review, not because there's a dedicated contradiction-detector auto-resolving it.
Explicit conflict-flagging is something we're leaning into next.
Congrats! Onpilot looks really useful for my business. Can Onpilot also be used on a customer-facing website and help visitors fill enquiry forms, qualify leads, or push that data into a CRM?
Thanks, Harman! Yes, that’s definitely one of the use cases of Onpilot.
Onpilot can sit on a customer facing website, guide visitors through the right questions, help qualify the lead, and then push the details into your CRM with the right context attached. You can name the agent and choose your branding as well.
So instead of just collecting a form submission, it can capture what the visitor needs, why they’re interested, how urgent it is and what the next best follow-up should be @harman_saini6