IT and productivity
Every employee with an expert on call, not a ticket in a queue
IT and knowledge teams still field the same questions over and over, and an employee waiting on a system access request or a policy answer often waits on a ticket queue instead. Institutional knowledge sits in documents nobody has time to search.
AI puts that knowledge to work. Generative AI answers a question in plain language, grounded in your own documents and systems, instead of sending someone to search for it. Agents handle routine requests such as provisioning or password resets end to end. Predictive models flag the tickets likely to need escalation before they pile up. Your team spends less time repeating itself and more time on the work only it can do, all inside your own environment.
Employee knowledge assistantA governed AI assistant answers staff questions from your agency's own policies and guidance, with the source cited in every answer, and can run air-gapped.IT knowledge assistant for runbooks and ticketsAn IT knowledge assistant answers your engineers' questions from your own runbooks, tickets and postmortems, and cites the source behind every answer.Sovereign AI coding assistantA sovereign AI coding assistant runs an open coding agent against models you control, so source code, prompts, and agent actions stay inside your network.Text-to-SQL for enterprise dataFine-tuning a small open model on your own schema so business users can ask a database a question in plain English and get accurate SQL back.Transaction volume anomaly detectionMachine learning that forecasts expected transaction volume, then flags spikes or drops outside that range so your team can act before an outage or attack.
5 of 5 use cases
Start owning your AI