Human oversight platform for agentic products

Your agents scale.Your ops team shouldn't have to.

When your AI agent cannot take an irreversible action on its own, it escalates to a person. Someone has to review it, decide, and act, in real time. Every new customer adds more of that work.

Ved is a human oversight platform which sits between your agentic product and ops team. It enables you to grow your customer base without the worry of growing your ops headcount.

without Vedwith Vedthe hiring you saveCustomersOps headcount
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What sets the size of your ops team

Three numbers decide it. Nothing else.

Cases per day
How many your agents send to a human
Minutes per case
How long each one takes to resolve
the one you can actually change
Minutes per person
Usable minutes in a shift
Ops headcount

Win a customer and cases per day goes up with it. Minutes per person is fixed by the length of a shift. That leaves minutes per case as the only number you can move, which is why headcount tracks revenue instead of lagging it.

Where the minutes actually go

Take one case waiting for approval.

The decision takes seconds. Approve it, change it, send it back.

Getting ready to decide takes everything else.

  • Finding the case
  • Opening three systems to work out what happened
  • Checking how a similar case went last week
  • Writing down what was decided, and why
Finding and reconstructing
Deciding
Recording and handing over
The bright part is the only part you hired them for.

The judgment is not the expensive part. The setup around it is.

Not every case costs the same

Most teams do not know which cases are eating them.

The most frequent case is rarely the most expensive one. A case that fires ten times more often can cost a fraction as much, because it takes seconds and rarely needs review.

Usually one kind of case is most of the load. Teams are surprised by which one.

How often it happens
Case type B
Case type A
Case type C
How much of your team it uses
Case type A
Case type C
Case type B
Live today

What Ved does

With Ved
Proposedcase 4471
Refund $240 and reschedule the visit
  • Charged twice on 14 Aug
  • Two similar cases refunded last week
  • Customer since 2023, no prior claims
Reason for the decision
ApproveEditAsk the agent
One case, one screen. Nothing to reconstruct.
  • The case arrives ready

    When your agent stops and asks for a person, it comes through with what it was doing, what it wants to do, and why it stopped. Nobody reconstructs anything.

  • It goes to the right person

    Routed by skill, load and who is actually online. Not dropped in a shared channel.

  • The reviewer can ask back

    Missing something? Ask the agent, get an answer, stay in the case.

  • Old cases do not pretend to be live

    A case whose window has passed is marked, not left sitting in the queue.

  • Every decision is recorded properly

    What was proposed, what was decided, what changed, why. Queryable. Not a chat log.

  • One screen for all of it

    Open, waiting, ageing, and who is holding what.

What changes first

Not headcount.

Your SLA.

When each case takes fewer minutes, your team clears the queue faster. Cases stop waiting. The percentage resolved inside your window goes up, with the same people.

Headcount comes later, and it comes as a decision you make, not one we make for you.

Before
After
Same team. Same volume. Shorter queue.
How it fits

Ved sits in the path, not in your agent

Ved sits between your agent and the person resolving the case. Your agent raises the request the way it already does. Ved handles delivery, routing, the back and forth, and returns the answer. Your agent's logic does not change.

your agentraises the caseVeddelivery, routing,the back and forthyour teamdecidescasecaseresolution
One case, end to end.
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Full audit trail. Deployable in your environment.

See it against one of your queues

We work with a small number of teams and build this against their actual workflow. If your ops team resolves cases your agents raise, that is the conversation.

  1. You send the formIt goes into a review queue, not a mailing list.
  2. A person reads itWe match what your team reviews against what runs end to end today.
  3. We book 20 minutesWe walk your queue and show what it would look like on Ved.

A person reads every one of these.

Human oversight platformfor AI Agents.