An AI gateway and an execution governance platform cover different layers
A gateway covers the model call; the governance layer covers projects, permissions, approval and handover. Pick by where you are stuck — they stack.
From the projects
We write down what keeps coming up: which tool to choose, how to narrow permissions, how to reconcile cost, and where the deployment boundary runs.
A gateway covers the model call; the governance layer covers projects, permissions, approval and handover. Pick by where you are stuck — they stack.
Integration, permissions and audit, attribution, upkeep — only the first is one-off, and the other three decide whether building holds up.
Decide whether employees need a good tool or the company already needs to manage accounts, data, cost and execution records across teams.
Which agents are open, what data they may read and which project the cost lands on all have to line up.
Whose identity the agent runs under, which actions wait for a person, and whether a run can be reconstructed afterwards.
Where the data has to stay, which systems the agent connects to, and how much operational work the team will carry.
A supplier invoice shows a total; project, person and task attribution has to be recorded separately.
One team, one or two tasks, four to six weeks, checked against the baseline recorded beforehand.