Expert judgment for every stage of your AI agent

Your agent does the work. When it needs judgment, it asks a SoReliable expert. We bring trained, tested experts into every stage of building an AI agent, from the first playbook to the decisions it makes once it is live.

Your engineers build the agent. Experts from the field it works in make sure it does the job the way a real professional would.

The problem

Most agents fail on judgment, not on code

An agent can call the right tools and still make the wrong call. It approves the risky refund, misses the drug interaction, cites the wrong clause, or reports a fix that only hides the bug.

These are judgment failures. More code will not fix them if nobody on the team has done the work the agent is doing. You need people who have, and proof that their judgment is good.

Where experts help

Expert judgment at every stage

  1. 1

    Define

    Write the playbook

    Experts write down how the work is really done: the steps, the rules that can never be broken, and examples of excellent and unacceptable work.

    A written standard and a set of graded examples

  2. 2

    Teach

    Teach the agent

    Experts produce step-by-step demonstrations and training examples, and correct the agent's early attempts with the reasons.

    Expert training data in the format your pipeline uses

  3. 3

    Test

    Stress-test it before launch

    Experts run realistic and tricky cases against the agent, including the traps and edge cases real users bring, and score every run against your standard.

    A test set with expert answers, and a clear map of where the agent fails

  4. 4

    Run

    Be its judgment once it is live

    When the agent is unsure or the stakes are high, the decision goes to a qualified expert. Experts also review a sample of its everyday work.

    Decisions with reasons, and an early warning when quality slips

  5. 5

    Improve

    Turn every catch into progress

    Each mistake an expert catches becomes a new test case and new training data, so the agent gets better instead of repeating it.

    A test set and training data that grow with your agent

What we provide

What you get with SoReliable AI

  • Experts from your agent's field

    Engineers for coding agents, clinicians for health agents, lawyers for legal agents, finance professionals for finance agents.
  • Judgment you can check

    Every expert trains on your task and passes a test with known answers before working on your agent.
  • Start at any stage

    Pick one stage or all five. Many teams start with a stress test before launch, then keep experts on for live judgment.
  • Reasons, not just verdicts

    Every decision comes with a short written rationale your team can read, and your agent can learn from.

An example

A health assistant that answered when it should have asked

A health assistant agent helps patients prepare for appointments and answers questions about their medicines.

AI agentAnsweredNeeds correction

Patient question: keep taking my blood thinner?

Medicine
Blood thinner
General advice
Do not stop on your own
Record
Tooth extraction next week
Expert review: A procedure is planned. Send this to the prescriber instead of answering.
  • What the checks saw: A patient asked whether to keep taking their blood thinner. The agent matched the general advice on file and said yes, keep taking it.
  • What the expert caught: The doctor sees the patient's record lists a tooth extraction next week. With a procedure planned, the question had to go to the prescriber, not get a general answer.

The agent followed the general rule. The expert knew when the rule stops applying. That catch becomes a new test case, so the agent learns to hand the next one over.

Illustrative example.

How it works

We prove capability before production

  1. 1

    Tell us about your agent

    What it does, who uses it, and where a wrong call would hurt most.

  2. 2

    Agree the standard

    We turn your guidelines into a playbook and a rubric with you, or write them from scratch with our experts.

  3. 3

    Prove our experts first

    Experts train on your task and pass a test on cases with known answers. Only those who pass work on your agent.

  4. 4

    Work alongside your team

    Experts take on the stages you choose, and every catch flows back into your tests and training data.

See our full method

Deliverables

What you receive

  • A written playbook and rubric for your agent's task
  • Expert demonstrations and training examples
  • A stress-test set with expert answers and scores
  • Decisions with written reasons when your agent asks
  • Regular review of a sample of live work
  • New test cases from every mistake caught

Your rubrics, data, scores and rationales stay yours.

Questions

Questions teams ask

Do we have to use all five stages?

No. Start with the one that hurts most. Many teams begin with a stress test before launch, then add live judgment.

How does our agent ask an expert?

Today we set up a review workflow around your agent: the cases that need judgment come to our experts, and their decisions go back to you with reasons. A direct connection for agents is on our roadmap.

How fast are decisions?

It depends on the task. Some calls are quick, others need an expert to take the time to get them right. We agree turnaround with you for each task.

Which fields do you cover?

Software and systems first, then healthcare, law, finance and science as our expert network grows. Tell us your field and we will tell you honestly what we can staff.

Who owns the playbooks and data?

You do. Playbooks, training data, test sets, scores and rationales created for your agent are yours.

Ready to try SoReliable?

Tell us what you are building. Any team, any project, any size. We find the specialists, train them on your standard, and evaluate the work against what your project actually needs.

Your enquiry gets a personal reply from SoReliable AI, not an autoresponder.