AI Agents Trust Index 2026

Help map which AI agent tasks are actually safe, useful, and cost-effective in 2026.

The Trust Index studies where agents are ready for production, where companies remain stuck in POC, and which workflows should not be started yet.

What it measures

Trust level by task, not hype level by vendor.

The core research question: where can AI agents be trusted today, and where are companies still wasting time in POC?

Use cases Tasks being tested across support, sales, operations, compliance, recruiting, and research.
Readiness Production-ready, needs supervision, POC risk, or do not start yet.
Failure reasons Data access, ownership, evaluation, reliability, cost, and integration blockers.
Trust mode Research, recommend, draft, execute with approval, or execute autonomously.
Public findings

What the public benchmark will show.

Market-level findings will be published when the sample is large enough to avoid misleading early numbers. The public version will show directional readiness categories, top POC blockers, broad adoption signals, and summary charts.

Top tested tasks

Which agent workflows companies are actively exploring across business functions.

Readiness categories

Where agents appear production-ready, supervised, risky, or premature.

Failure patterns

Why POCs fail to become useful production workflows.

Readiness map

Use-case categories we track.

Ready with review

The agent can draft, research, compare, or recommend with a clear human checkpoint.

POC risk zone

The demo works, but production depends on data, ownership, evaluation, and integration quality.

Do not start yet

The workflow is too risky, too ambiguous, too expensive, or better handled by deterministic automation.

What participants receive

Full access after completing the survey.

  • Full AI Agents Trust Index 2026 report.
  • Use-case readiness map and trust levels by task.
  • Anti-pattern library and vendor red flags.
  • POC-to-production checklist.
  • Early access to the AI Vendor & Implementation Advisor.

Full access requires completing the survey with a company email. Personal email domains are not accepted.

Survey

Take the survey and receive the full report.

Share one AI agent workflow your company has considered, tested, deployed, or rejected. The survey is designed for business and technology leaders, not only AI teams.

Report preview

Sections in the full report.

Readiness by task

Which tasks are ready for supervised production and which need more evidence.

Anti-pattern library

Tasks where companies are using agents when automation, data cleanup, or process design should come first.

Vendor red flags

Claims, pricing patterns, and implementation gaps buyers should test before signing.