ServiceSafe AI — an IT assistant that predicts the fix
Support tickets triaged and resolutions predicted from the team’s own history.
In service of IT teams who’d rather spend their time on the hard tickets than the obvious ones.
Result Categorises tickets and recommends fixes from a team’s own history, with dashboards proving it out — delivered for a client.
Created and led ServiceSafe AI for a client: an IT support assistant that categorises an incoming ticket and recommends a resolution drawn from historical tickets, paired with dashboards tracking resolution times and ticket categories.
IT support teams drown in repetitive tickets. ServiceSafe AI reads an incoming ticket, categorises it, and recommends a resolution drawn from the team's own history — so the easy majority move faster and people get answered sooner.
Every answer comes back structured: a category and sub-category, a confidence score, a recommended solution, and the extra context that similar past tickets suggest. It works off an existing knowledge base, can run as an agent inside a ticket management system, and can be tailored to a team's own internal procedures.
Alongside it I built the reporting layer — dashboards tracking resolution times and ticket categories — so the client could see honestly whether it was helping. Created and led end to end; delivered and complete.