Your teams already build apps and agents with AI. Salus runs them under IT’s rules, so more teams can ship while IT stays in control. Here is what that changes for the business, in the questions your leadership asks, and how you’ll measure each outcome.
SOC 2 Type II and ISO 27001 compliant.
Running in production for
Six outcomes
Each outcome starts with the question an executive asks before approving new software. Under it: how things work today, what changes with Salus, and the number that shows it.
The CEO asks
“Is our AI investment producing software people use?”
The CIO asks
“What’s running, and who put it there?”
The CISO asks
“Could this put our core systems at risk?”
The CTO asks
“Do we have to build and run this ourselves?”
The CFO asks
“What will it cost as more people use it?”
Infrastructure asks
“Can it run where we need it to run?”
Governance is what lets the investment pay off. In a June 2026 survey of more than 800 enterprise engineers and DevOps professionals, teams with full governance of AI coding were 55% more likely to report a major improvement in efficiency. Black Duck, The State of AI-Powered Software Development.
Measure it
Report to leadership from the console, not from a survey. Each measure is read from Salus itself, so the numbers you take upstairs are the ones the platform records.
| Outcome | What you track | Where in Salus |
|---|---|---|
| Software in use | Apps live by team and project, and deploys each month | Projects and deployments |
| Oversight | Who started each deploy. A deploy an agent started shows as “Salus MCP acting as” the builder | Audit log, filtered by space or project |
| Risk | Known vulnerabilities flagged before release, and workloads taken offline | Vulnerability dashboard and deployments |
| IT capacity | Deploys started by builders and their agents rather than by IT | Audit log |
| Spend | Usage by app, project and environment | Usage, from one prepaid balance |
| Hosting choice | The cloud and region of every environment | Environments |
A first 90 days
Agree the plan and the measures with your team before you start, so the review at day 90 is a reading, not a debate.
Day 30
IT sets roles and release rules once and connects your Git provider. The first teams deploy, themselves or through their agents.
Measure: apps live, teams shipping
Day 60
New projects inherit the release rules. Every pipeline scans for known vulnerabilities before release, and routine deploys, logs and rollbacks move to builders and their agents.
Measure: deploys by builders and agents, vulnerabilities flagged
Day 90
Review the quarter from the console: what’s running and where, who deployed it, what each app uses, and what was taken offline. Then choose the next teams.
Measure: all six outcomes
Your numbers
Before you weigh any platform, size what supporting team-built software costs IT today. Change the example values to your own.
How it’s worked out: apps × (setup hours + 12 × monthly hours), counting a full year of running for each app. A full-time person works about 1,800 hours a year. These are your estimates of today, not Salus figures.
With Salus, IT sets roles and release rules once, and builders or their agents deploy within them. Bring these numbers to a 30-minute session and we’ll work out with you what changes, app by app.
Build your business caseThirty minutes with our team: your apps, your rules, your clouds, and the measures you’ll report.