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AI agents & single-task automation

One job, done end to end.

The short answer

An AI agent from webbox is a scoped, governed worker that completes one job end to end: triaging inbound leads, capturing invoices into the ERP, deflecting support tickets. We define the task, connect your tools through APIs or MCP, add permission scoping and human review where mistakes are costly, measure it against an eval set, and price it against hours saved or items processed.

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How it works

Scoped to one job

One painful, measurable workflow made reliable before anything expands. Open-ended autonomy is the failure mode, not the goal.

Guardrails & oversight

Tool permissions, dry-run modes, spend limits and human approval at the steps where being wrong is expensive.

Evals & outcome pricing

Quality measured on a real eval set, and pricing tied to hours saved or work completed rather than seats or tokens.

Related work

Financial Services

A support copilot that shipped because the evals said it could

A retrieval-grounded support assistant taken from an untrusted prototype to production behind an evaluation set, cutting first-response time.

-43% First-response time
Read case study

AI agents & single-task automation: FAQ

Are AI agents reliable enough for production?
When scoped to one job with guardrails and an eval set behind them, yes, and we run several in production. The open-ended autonomous kind is what tends to fall over, so we do not build those.
How are AI agents priced?
We pilot on outcome-based pricing tied to hours saved or items processed, so spend tracks value rather than seat count. The pilot is fixed price so you know the downside before you start.

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