Assessment - For Procurement

Know Which AI Agent Actually Works

Every vendor demo shows agents at their best. Public benchmarks test clean, closed problems. Your workflows are messy, open-ended, and full of judgment calls. We evaluate AI agents under your real conditions.

Benchmarks tell you how agents perform in ideal conditions. We tell you how they perform in yours.

An agent that tops a public leaderboard might fail on your first real task. Vendor demos show agents at their best. Your workflows are open-ended, messy, and full of judgment calls that no benchmark is designed to test. You need to see how agents actually perform before you commit.

HOW IT WORKS

Three Step Process

Three Step Process

Workflow Mapping

Workflow Mapping

We work with companies and analyze actual workflows, tools, and data to build evaluation environments that mirror production — simulated APIs, MCP servers, GUIs, the systems agents will actually encounter.

Design with words, not just visuals. Write sharp, user-aware microcopy.

Head-to-Head Benchmarking

Head-to-Head Benchmarking

Candidate agents run through identical challenge sets. Same data, same tools, same rubrics. Emergences Labs focus on open-ended tasks that require reasoning, beyond pattern matching.

Design with words, not just visuals. Write sharp, user-aware microcopy.

Procurement Scorecard

Procurement Scorecard

Structured comparison: task completion, reasoning quality, tool fluency, error recovery, judgment under ambiguity, and cost-efficiency. Everything to make the call, and defend it.

Design with words, not just visuals. Write sharp, user-aware microcopy.

BREAKDOWN

What Gets Assessed

What Gets Assessed

Task completion

Task completion

Does it actually solve the problem?

Does it actually solve the problem?

Reasoning quality

Reasoning quality

Sound logic, or plausible pattern matching?

Sound logic, or plausible pattern matching?

Tool & API fluency

Tool & API fluency

Can it navigate your MCP servers, APIs, and data sources?

Can it navigate your MCP servers, APIs, and data sources?

Error recovery

Error recovery

How does it handle ambiguity, unexpected inputs, edge cases?m?

How does it handle ambiguity, unexpected inputs, edge cases?m?

Judgment under uncertainty

Judgment under uncertainty

Does it make good trade-offs when there's no clear right answer?

Does it make good trade-offs when there's no clear right answer?

Cost-performance ratio

Cost-performance ratio

Real ROI at your volume and complexity?

Real ROI at your volume and complexity?

UP NEXT

Check out how we get humans

Emergences Labs offer insightful evaluation information that plays a critical role in deciding what agents to use.

Maya L.

Researcher