For CEOs, CTOs, CIOs and CFOs
Don’t take them to production without a deep security and architecture review. At Sondeon we are experts in reviewing applications before production, and we also keep your data platforms under control.
Book a meetingYour AI-built software
Launch without surprises.
Data platforms
Save on licenses and decide with correct data.
45%
AI coding tasks with a known security flaw
Veracode, 202636%
SaaS licenses unused on average
Zylo, SaaS Management Index 202646%
AI proofs of concept scrapped before production
S&P Global Market Intelligence, 202526%
company data its data leaders do not trust
Salesforce, 2025CEO
Decide with numbers you can trust, and grow with AI without surprises.
CTO
Ship what the team built with AI without security incidents.
CIO
Know what runs, what it costs and who has access.
CFO
Stop paying for licenses nobody uses.
What if the software AI built has security holes?
We find them before an attacker does.
What if it breaks when real customers arrive?
We review the database and the servers before you launch.
What if we are paying for licenses nobody uses?
We show you which ones, so you stop paying for them.
What if the reports I rely on show the wrong numbers?
We find the broken data flows behind them.
What if people who left still have access?
We list the orphan users so you can remove them.
What if nobody notices until it is too late?
We check everything every three months, with a one-page report for leadership.
Review a new system once before it ships, or keep everything under control every three months.
Before production
Send the app, website or database you built with AI and get every gap with its fix before you deploy.
Every three months
We review your code, servers and data platforms each quarter: broken flows, idle users and costs.
Google PageSpeed Insights reports for two websites after they went through our review and we applied the fixes. The scores under each image are copied from the report.
Google PageSpeed Insights
Google PageSpeed Insights
Tell us what worries you. In the meeting we explain how we solve it.
The AI Controller is a technical review of the systems your team builds with AI and of the data platforms your business runs on. It checks code, databases, servers, data flows, users and licenses, and it repeats every three months.
AI writes working code quickly, but it does not know your security rules, your data volume or your infrastructure. Exposed keys, missing indexes and errors that fail silently are cheaper to close before users find them.
No. It is a technical review and control of your systems, not a legal, financial or compliance audit. We check how the systems work and tell you how to fix what does not.
Because the systems keep changing: new code ships, new pipelines and workflows appear, and people join and leave. A quarterly control catches broken flows and unused licenses before they add months of wrong data or wasted cost.
A silent broken data flow is a pipeline, workflow or refresh that stops working without raising an alert, so dashboards keep showing numbers that are old or wrong. Decisions are then made on data nobody knows is broken.
People who stopped using Salesforce, Power BI, Fabric or Databricks, or who left the company, often keep a paid license. The controller lists them every quarter so you can remove or reassign them.
Yes, and that is where the review helps most. AI lets less experienced developers ship larger systems, and the gaps grow with the system. The review turns them into a plan the team can follow.
We work with companies in the United States, Europe and Latin America, in English, Spanish, Portuguese, German and French.