Decision agents review each case in your team's queue or your SaaS product, weigh the evidence and propose a verdict, measured on your real cases.
Long cases bury the decisive moment. Ours guarantees it enters the review.
A tool your policy allows, an authorized exception. Each one found in a real case became a rule.
Ours explains each verdict in plain language, for a reviewer who is not technical.
Ours is audited field by field before it goes live, with a switch to roll back. A wrong verdict is fixed within days.
A verdict per case with a confidence figure and the evidence cited. Any doubt with high stakes goes to a person.
A reviewer's screen with the raw evidence as the source of truth and two buttons to decide.
A policy you declare, not one the agent guesses: the tools, sources and behaviors allowed in your context.
A quote before the agent goes live: volume and cost per day, week and month.
A weekly report of accuracy on live cases and cost per case.
A record of every change and why, so you can explain the agent a year from now.
A verdict on each case, or people and work scored against a rubric, the same way every time.
Contracts, invoices and records turned into structured output, each field traced to its page.
Answers from your own sources, with citations, monitored over time.
Expenses and invoices checked against policy, each exception sent to a person with its evidence.
A live operation watched for deviations, within a false-alarm limit agreed with you. Already built for cloud and endpoint security, and workforce analytics.
Most demos measure on easy cases. We measure on cases the agent never saw while it was being tuned.
Your real cases, labeled with the correct answer by people you trust.
Test cases come from groups the agent never saw, and are never reused once revealed.
The balance between false alarms and missed cases, set with you against what each error costs.
Recall and precision: how many real cases it catches, and how many of its alerts are right.
Checked before launch and after every change, and on production samples to catch any drop. A change below the target is stopped.
When it evaluates people, we also measure that it treats every group consistently, and a person decides.
For IT departments with a review queue that takes up their time, and SaaS teams building evaluation into their product.
in fintech and payments.
with photographic evidence.
on platforms and marketplaces.
of records, transactions and communications.
in operations and support.
in legal and medical workflows.
A conversational agent produces a record, a decision agent evaluates it, and a process agent takes the next step.
Conversational agents →A customer reviews a high volume of cases, and each verdict has consequences for a person. The agent returns a verdict with its confidence and the evidence, and a reviewer decides in seconds.
One working session, 45 minutes: we map your cases, what a correct verdict is, what a false alarm and a missed case cost you, and how to measure it.