TC-22 / TECHNOLOGIES
AI agents: software that pursues goals with tools and judgement
AI agents combine language models with tools and memory to carry out multi-step tasks, such as researching, updating records or handling requests from start to finish.
What we build with it
Support and operations agents, research assistants, data reconciliation agents and workflow agents connected to your business systems.
Tools in our toolkit
Agent orchestration frameworks, tool and API connectors including the Model Context Protocol, vector memory, approval workflows, tracing and evaluation harnesses.
When it is the right choice
Multi-step knowledge work with clear boundaries, accessible systems and measurable outcomes.
When we would suggest something else
Fixed, predictable processes are often more reliable as standard automation.
Frequently asked questions
How do you keep agents under control?
Through narrow permissions, approvals for consequential actions, logging and ongoing evaluation.