Product
Your agents do the work, and you decide when to step in.
Most workflows have a point where they meet you. brings you in by design, not by default. Being on the loop rather than in it is a deliberate choice about where your attention goes.
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Two ways to oversee
On the loop, not in the loop
Both are real oversight. The difference is where you sit. In the loop, you are a step the work cannot skip. On the loop, the work runs and you watch it, with the standing ability to reach in. oHallo is built for the second and lets you choose the first wherever a decision earns it.
Human in the loop
On the loop
Who acts
A person must act first
The agents act first
Routine work
Waits for a human
Resolves on its own
The person's role
A required step
A supervisor
Growing volume
The approval queue grows
Throughput holds
Human attention
Spread across every case
Where it changes the outcome
You make this choice for each kind of decision, not once for the whole system. A refund under a threshold can run alone. The same refund above it can wait for you. oHallo holds both settings at the same time.
Where you come in
The loop runs. You stand on it.
Picture the work as a loop that turns on its own. oHallo reads the message, finds the answer, checks it against your systems, and replies. You are not a link in that chain. You stand on the loop, watching it turn, and every feature on this page is a designed point where it can reach up to you or you can reach down into it.
Points of contact
Every place is built to meet you
Each one is a deliberate part of the design. Together they are the same idea repeated wherever the work touches a decision that is yours.
Approval gates
You set the thresholds that matter to your business. When oHallo is about to cross one, it pauses the tool call and asks you first, before anything changes in your systems. The screenshot shows a cancel-order request held at a guardrail: oHallo has drafted everything and stopped, waiting for an operator to approve or reject. The line is yours to draw and yours to move.
Cases
Some work is not one reply but a procedure that runs over hours or days. oHallo tracks it as a case, with timers watching for an SLA coming under pressure or a case that has gone quiet. You supervise the whole set from one view and step into any of them the moment it needs you.
The learning loop
When you do step in, oHallo studies what you knew that it did not. It drafts the knowledge and policy changes that would have closed the gap and brings them to you as proposals. The screenshot shows a proposed knowledge entry with the conversation that prompted it, the reasoning, and a confidence score. You approve, edit, or reject. Approve it and oHallo handles the next one alone.
comes to you
You do not sit watching a dashboard. The moment a conversation or case needs a person, oHallo raises a flag, routes it to the right one, and puts it in front of you with the full history.
Takeover
Step into any conversation at any moment. oHallo pauses, hands you the full history and context, and waits. When you are done you release it and the loop picks up from where you left it.
Validation
oHallo delivers a reply only when it can check every claim against your own data. What it cannot stand behind, it does not send. It brings it to you instead.
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Management by exception
Your judgement is the scarce thing. treats it that way.
Your team's experience is the scarce resource, and oHallo is designed to spend it well. The routine resolves on its own. You are brought in for the cases where a person genuinely changes the outcome, which is where that experience is worth the most. Oversight that is asked for only when it counts stays sharp. Oversight that is asked for on every single step becomes a reflex. On the loop is the design that keeps your review meaningful and your throughput intact.
Accountability
Nothing happens that you cannot trace
On the loop only works if stepping in is genuinely easy, so oHallo is built for it. Every decision, every data source, and every policy check is logged. When a conversation reaches you, it arrives with the full picture already assembled. You can intervene in any workflow or halt it outright, at any time. This is the human oversight the EU Artificial Intelligence Act asks for in Article 14: the standing ability to understand a system, step into it, and stop it. oHallo meets it by construction.
See where you would meet the loop
Connect your systems and decide for yourself what runs alone and what comes to you