Ship your agent with trained people in the loop

Deepen AI's trained teams test your agent before release, approve its risky actions once it's live, and check what it actually did. A plan within 2 working days, with no sales call.

$5 per person-hour A plan within 2 working days No sales call

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Where people fit around your agent

Before release, people find out what your agent really does. Once it's live, they decide the actions that matter. The same team can do both.

WhenWith Deepen
Before release: find out what it actually does, step by stepAI agent evaluation Every run checked against what it reported, with the failing step.
Before release: try to make it break your rulesAI red teaming Every attempt logged, with severity and steps to reproduce.
Every release: test it against what went wrong beforeCustom benchmarks Your real failures, turned into tests with approved answers.
In production: approve risky actions before they runAgent action approval Approved, edited or blocked, with the reason.
In production: check uncertain answers before customers see themAI output review Approved or corrected against your rules.
To improve it: grade its runs for trainingAgent trajectory grading Success or failure, the failing step and why.

Where the team works

Before release, on a test version. Once you're live, in the queue your agent sends work to.

On a test version of your agent

Testers and raters work on a staging environment you give them access to, so real customers are never affected.

In your approval queue

Your agent puts risky actions in a queue in your own tool or a shared sheet. Reviewers decide, write the decision back, and your agent acts on it.

How work reaches the team

Your data stays in your systems. We work under NDA, with the access you set. Deepen AI holds SOC 2 Type II, ISO 27001, ISO 9001 and TISAX.

How reviewers stay sharp

The risk with any approval step is that people start approving everything. Known-correct items in the queue, weekly accuracy checks and QA re-checks keep every decision honest, and you see the numbers each week.

Every reviewer's accuracy is measured

Items you've already answered are hidden in the real work, so we know how accurate each person is.

Nobody guesses on unclear cases

The team lead decides, or asks you. Your answer joins the guidelines.

You see the results every week

A weekly report shows work done, QA results and what's improving.

How we start on your work

No sales call. Start with the step you need most: testing before release, or approval once you're live.

What to bring

  • What your agent does, and the actions it can take
  • Your rules: what it must never do, and what needs a person
  • A test version of your agent, or records of its runs
  • Your release date, if you have one
  1. 5 minutesTell us the task

    What your agent does, where you are with it, and what worries you most.

  2. Within 2 working daysGet a plan and a price

    The services, people, hours, start date and the total price, by email.

  3. 2 weeksRun the pilot

    We train the team on your agent and your rules, test or review real runs and send two weekly reports. Then you decide.

Pricing

$5per person-hour

Action approval and output review are $5 per person-hour in English, with a trained team, a team lead, QA checks and a weekly report included. Evaluation, red teaming and benchmarks are quoted in your plan.

Set before you pay. Your plan shows the rates, the team size, the hours and the total price.

Starts with a two-week pilot on your agent's real work, paid upfront, with two weekly reports.

Then you decide. After the pilot, you choose whether to continue.

Questions

Which agent actions should need a person?

Usually the ones that are hard to undo: moving money, changing access, deleting data, or contacting many customers at once. During the pilot we help you write the rules, so your agent only waits on the actions that matter.

Will approval slow our agent down?

Only the actions you choose wait for a person, and the team is staffed to the turnaround in your plan. Everything else runs as normal.

What should we test before release?

Whether your agent completes your real tasks, whether it can be pushed into breaking your rules, and whether a fix breaks something that used to work. That's agent evaluation, red teaming and a benchmark built from your failures.

Can the same team test the agent and approve its actions?

Yes. A team that tested your agent already knows its rules and weak spots, so approval is sharp from the first day you go live.

Our agent is already live. Where do we start?

With approval for its riskiest actions, and evaluation of a sample of real runs to see where it goes wrong. The plan says which comes first.

How do you stop reviewers from approving everything?

We mix actions with known correct decisions into the queue, measure each reviewer's accuracy every week and re-check a sample of decisions. You see the numbers in your weekly report.

Put trained people around your agent

A plan within 2 working days. No sales call.

Get a planPlan within 2 working days