We Launch an AI Agent Business Unit Focused on Enterprise-Grade Deployment

After two years on customer sites, we have seen the bottleneck shift. The early question was whether a model could understand the business; today it is whether it can be safely wired into business processes.

Three engineering problems

• Control — an agent's permission boundary must be explicit, and actions involving money, permissions or data deletion must keep a human confirmation step
• Traceability — every answer and tool call must be logged, including retrieved source passages, for after-the-fact audit
• Interchangeability — decouple the model layer from the business layer so clients can switch between local and cloud models without vendor lock-in

With the new business unit, these three capabilities become standard on every agent project rather than optional extras.