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Use cases

What are you asking
AI to do?

Start with the decision, the people it affects, and the outcome you need. Explore concrete ways to evaluate agents across software and the physical world.

Human behavior & decision research

Know the people.
Explore the consequences.

Research products and pricing, test campaigns, build audience segments, rehearse organizational change, and explore market scenarios. Connect the resulting human context to company decisions and AI evaluation.

Explore six simulation applications Carry judgment into autonomous work

14 use cases

01Service operations

Customer support agents

Evaluate support agents on the decisions behind a resolution: what the customer needs, which policy applies, what the agent may change, and when a person should take over.

Enterprise + AI labs
02Screens and software

Computer-use agents

Evaluate agents that operate browsers and business applications. Test whether the agent chooses the right record, understands the current screen, verifies changes, and respects approval boundaries.

Enterprise + AI labs
03Company decision models

Procurement and approvals

Scope a company decision model around purchasing and approval workflows. Compare proposed actions with expert decisions, operating policy, budget authority, and the evidence available at the time.

Enterprise
04Long-running assistance

Agent memory and personalization

Evaluate memory across repeated interactions. Test whether an agent discovers a preference, retrieves it when relevant, updates it after a correction, and respects the person’s boundaries.

Enterprise + AI labs
05Agent development

Model, harness, and agent evaluation

Compare model, harness, and tool configurations on the same versioned tasks. Inspect task outcomes, interventions, cost, and latency with enough detail to identify what changed.

Enterprise + AI labs
06Coordinated workflows

Multi-agent handoffs

Evaluate workflows in which several agents share a task. Test whether goals, evidence, permissions, and ownership survive the transition from one agent or tool to another.

Enterprise + AI labs
07Physical AI

Human–robot collaboration

Scope embodied evaluations around human interaction: yielding, receiving corrections, handing over objects, and recovering when the shared workspace changes.

Robotics + AI labs
08Customer journeys

Customer experience

Compare friction, clarification, and outcomes across a complete service experience.

Enterprise
09Commercial decisions

Product and pricing studies

Explore how an offer, package, or price interacts with customer needs before human validation.

Enterprise
10Audience research

Audiences and messaging

Examine what different people understand, question, and need from an announcement.

Enterprise
11Agent development

Personal agent learning

Scope interactive environments for preference discovery, adaptation, and task completion.

AI labs
12Company decision models

Recurring workflow decisions

Define a bounded choice, learn from reviewed examples, and evaluate the surrounding workflow.

Enterprise + AI labs
13Physical AI

Site-based robot evaluation

Compare robot policies under changing layouts, task states, and recovery conditions.

Robotics + AI labs
14Operating decisions

Company scenario planning

Identify which assumptions change the decision when conditions and priorities shift.

Enterprise

Start with the question

A use case is the beginning.
The evaluation makes it useful.

Bring a workflow, a baseline, and an accountable owner. We’ll scope the scenarios, interfaces, and evidence that would justify the next step.

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