The control room for the people in charge.
As automations spread across your company, leaders need to see and steer them. One place to set the rules, approve what matters, and watch quality across every team. Flip the controls below.
A control room for the people accountable.
One place for leaders to set the rules: who can build what, what an automation is allowed to do, and how every one of them is performing across the company.
Set the rules. Stay in the loop.
Approvals where they matter, a full record of what ran, and the quality bar enforced across teams. Your knowledge layer doubles as the flight recorder: what every agent was asked, what it did, and what happened next, kept and queryable. Leaders set the guardrails; the platform keeps everyone inside them, without slowing the work.
Our founder has run this before.
He built exactly this inside a large-scale fintech: a platform where leaders managed 188 vetted workflows across 8 teams and 350+ people, with adoption, quality, and approvals visible from one place.
Four controls on every automation.
Every workflow Foundry Solutions ships runs inside the same four guardrails, the ones you can flip in the demo above.
PII redaction.
Names, emails, and secrets are scrubbed before anything leaves your systems.
Read-only first.
An automation gets write access only after a read-only pass works end to end.
Approval gates.
A human signs off before the agent acts on money, customers, or data.
Audit trail.
Every action is timestamped and logged, so any run can be reviewed later.
What happens when an agent reaches too far.
The frontier labs have disclosed that their own models reached systems they were not meant to reach during testing. That is a fair thing to worry about before you let an agent near your business. The answer is not trusting a model to stay in bounds. It is keeping the consequential decision with your team.
The agent proposes. A person decides.
Nothing an automation produces touches money, customers, or data until someone on your team approves it. The review is the control, not a hope that the model behaves.
Read access comes first.
An automation earns write access only after a read-only pass works end to end. A great deal of what teams want from AI never needs write access at all.
We run this on ourselves.
Our own agents work exactly this way. They open drafts for review and a person merges them. We do not ask you to run a control we have not run first.
Give your leaders the controls.
Twenty minutes. We walk through how your team would manage and steer automations as they scale.
Talk to us →