Your systems have drifted. Your answers can’t afford to.
Telecoms data estates carry decades of history: systems that outlived their documentation, fields that changed meaning, sources that disagree. An AI that reads them confidently and checks nothing is a liability. Kallidin is built on the opposite assumption.
The problem, in your world
The hard part of AI in a telco isn’t the model. It’s that accuracy on a legacy estate that has drifted for decades is genuinely difficult, and the cost of a wrong answer scales with the confidence it’s delivered with. A customer figure that is subtly wrong, a churn number built on a field that changed meaning years ago, a report two systems disagree about. Your team catches these because they know the estate. A tool that does not check cannot.
What you get
KAL, the Autonomous Data Office, is built to do that checking. Every finding is checked by an independent AI agent before it reaches you, and every answer carries an audit trail: what was checked, what was assumed, why it passed. The consulting that comes with it works on the estate itself, mapping where the foundations have drifted and fixing what the answers depend on. Accuracy is engineered in rather than hoped for.
The trust check, done early
Your security team will have a questionnaire. We’d rather see it before the first call than after the last one. Residency, audit trails, access control, versioning and exit are answered on our trust page, including where our own certifications stand. Where your data lives is the first question it answers.
Why us, for this sector
The team behind Kallidin has delivered major strategy programmes inside 6 of the top 10 global telcos, and architected the entire technical landscape of new satellite communications organisations. What we know about drifted estates, we learned inside them.
Questions we hear from telecoms
How do you stop AI giving wrong answers from legacy systems?
Do we have to fix our whole data estate first?
Start with a conversation.
The first step is a discovery call, and the usual next step is the diagnostic: a short, flat fee piece of work that finds what is broken and designs the fix. Bring the report your systems disagree about.