AI agents create the most value in multi-step workflows that already follow clear rules but require judgment at the edges.
The strongest results come from pairing agents with human review at the moments that carry business risk.
Key findings
Structured workflows benefit first
Order handling, onboarding, and case triage have clear steps that agents can execute and humans can audit.
Integration beats intelligence
An agent connected to the right systems delivers more value than a smarter model working in isolation.
Review points build trust
Teams adopt agents faster when approvals are designed in from the start rather than added after an incident.
By the numbers
- Case triage42%
- Onboarding35%
- Reporting31%
- Open research12%
What this means
- Map workflows by rule clarity and risk before choosing where to deploy agents.
- Budget for integrations as the main cost, not the model.
- Design human approvals around payments, customers, and people decisions.
Our perspective
The question is not whether to use agents but where they belong. We recommend starting with workflows that are repetitive, well understood, and easy to review, then expanding scope as trust and tooling mature.