Triage, Assign and Dispatch: the AI Agente for Application Maintenance
Application maintenance takes up a significant share of the IT budget, yet it is rarely seen as a source of value. TRI.A.D. was created to change that perspective.
AI agents and language models work alongside development teams in handling day-to-day requests, preserve the technical knowledge built up over the years and make every intervention faster and better informed, on legacy systems and new projects alike.
The result is Application Maintenance that stops chasing problems and becomes a strategic business lever.
In most enterprises, keeping critical systems running requires a constant balance between business continuity and the management of architectures that have grown in layers over time.
IT leaders are therefore under pressure to contain operating costs without compromising service stability, while technical debt keeps piling up and pressure on SLAs continues to grow.
Turn Application Maintenance into a value driver by systematizing technical knowledge before it is lost.
Reduce incident resolution times and turnover-related risk while maintaining governance, full traceability and human oversight of critical decisions.
Every maintenance project rests on a knowledge base. That foundation is almost always compromised, and usually in the same ways: the result is lengthy onboarding, slow diagnosis and costs that rise instead of falling.
Documentation is missing, outdated or no longer aligned with the actual system. Whoever steps in has to rebuild everything from scratch, every time.
Business rules have never been formalized: the reasoning behind many choices lives only in the code and in the memory of whoever wrote it.
Years of successive changes make the system overly complex: no one really has the full picture anymore.
TRI.A.D. doesn’t replace people or reinvent what the team already knows. It takes on the tedious work that usually gets put off: clear, complete ticket comments, up-to-date inventories, links to previous interventions.
The solution combines deterministic rules, where certainty is required, with language models. Every request is tracked from intake to closure; the system steers it toward the right process, and every completed task feeds the knowledge base.
Trends, workloads, resolution times and bottlenecks can also be queried by anyone, at any time, without waiting for a dedicated analysis.
At the core of the solution is Radicalbit AI Gateway, developed by Fortitude Group: a single access point for all AI traffic that orchestrates models, routing, security and IT budgets at a granular level. AI becomes a measurable, predictable and governed cost item.
Fast time-to-value: an incremental approach that prioritizes the solution and user feedback first, then scalability.
Guardarail and audit: centralized policies, with every action tracked and kept under human oversight.
Data Sovereignty: On-premises or local cloud deployment, in Italy or within Europe.
