What makes an agent bounded?
A bounded task names the outcome, the systems it may touch, and the check that shows the work is done. Leapfrog AI’s own product engineering uses bounded coding agents, automated checks, and localisation workflows. That practice is described as own-ops on the case-study page, with no client metrics attached.
An agent that quietly widens its task is an operations risk. The AI Audit (€3,000, one week) is where a mid-market team names the first safe boundary before a pilot builds it.
Which offer fits an agent project?
The Agentic Automation Review (€1,000, three days) examines one workflow. The AI Audit ranks several candidate workflows. The AI Pilot, from €20,000 over six weeks, builds one agreed agent or automation and includes 90 days of support after launch.
Self-serve tools can connect apps. A Leapfrog AI engagement is a delivered system for one process, with a named scope and a fixed starting price.
Common questions
What is a bounded AI agent?
A bounded AI agent has one task, a limit on what it may change, and a check a person can review. Leapfrog AI scopes that boundary in an AI Audit for €3,000.
Where can I see Leapfrog AI’s own agent practice?
The own-ops draft at /case-studies/leapfrog-multi-agent-ops describes how the founders run agents on their own products. It is not a client case and it states no client metrics.