I'm Tom, founder of Sydekiq. We built this after running a law firm and realizing every 'AI tool' I tried was just a smarter search bar. I wanted something that actually did the work. So we built it. Sydekiq deploys a dedicated AI agent on your own private server. It knows your business, acts without being asked, and reports back. Our first clients are law firm coaches, agency owners, and service businesses that need operations handled 24/7. Ask me anything: how it works, what use cases we support, how we handle data privacy, pricing, onboarding, or where we're headed. Fire away.
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Congrats on the launch! This is really compelling - the 24/7 autonomous operation angle is powerful. Quick question: how do you handle scenarios where the agent needs to make a decision that could have significant business consequences? Is there a confidence threshold where it escalates to humans, or does it depend entirely on how businesses configure it?
@osakasaulΒ Great question, and honestly something we think about constantly.
Right now it's fully configurable. Businesses set the guardrails: dollar thresholds, action types, client sensitivity flags. Anything inside those bounds the agent handles autonomously. Anything outside, it pauses, explains its reasoning, and waits for a human call.
But here's the real answer: we've found that the "should I escalate?" question is less about confidence and more about irreversibility. Sending an email? The agent sends it. Canceling a subscription or moving money? It asks first. The model for us has been: if the human can easily undo it, automate it. If they can't, flag it.
The 24/7 piece matters most not because the agent never sleeps. It's because decisions don't wait. A lead comes in at 2am, a deadline approaches, a client escalates. The agent knows your business well enough to handle it or escalate intelligently, not just sit on it until Monday.
Happy to go deeper on how we've implemented this for law firms specifically if useful.