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AI Agents · One job, done end-to-end.

AI Agents & Single-Task Automation

The short answer

An AI agent from webbox is a scoped, governed worker that completes one job end to end. For example, triaging inbound leads, capturing invoices into Odoo, or deflecting support tickets. We define the task, connect your tools (via APIs/MCP), add guardrails and human-in-the-loop where mistakes are costly, measure it against an eval set, and price it on the outcome.

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What you get

How it works

Scoped to one job

We pick one painful, measurable workflow and make the agent reliable at it before expanding.

Guardrails & oversight

Tool permissions, dry-run modes and human-in-the-loop at the expensive steps.

Evals & outcome pricing

Quality measured on a real eval set; pricing tied to hours saved or work completed.

Proof

Related work

fintech

A support copilot that shipped with real evals

A retrieval-grounded support copilot taken from demo to production behind an evaluation set, cutting resolution time.

-43% First-response time
Read case study

Questions

AI Agents & Single-Task Automation: FAQ

Are AI agents reliable enough for production?
Yes, when it's scoped to one job and has guardrails and an eval set behind it. The open-ended 'autonomous' kind is what tends to fall over in production, so we don't build those.
How are AI agents priced?
We pilot on outcome-based pricing, tied to hours saved or items processed instead of seats or tokens, so spend tracks value.

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