Control Tower: operational AI governance for your organization.
A dashboard reserved for instance administrators, built to centralize visibility over assistants, applications, costs and access across the organization.
Control Tower is a dashboard reserved for instance administrators in Forra, built to centralize visibility over assistants, applications, costs and access across the organization.
Staying in control as adoption picks up
When teams start building their own agents, assistants and applications, that is a strong signal. As the number of assistants, models and users grows, though, administrators need tools that can keep pace: which agents are active, what they cost, who uses them and how.
Control Tower gives administrators a unified view of active usage, permissions and spend across the organization. Beyond tracking, that visibility becomes a way to support teams. Spotting a model poorly suited to a use case, or an unusual pattern of consumption, is a chance to steer practice and help people get more from AI, not only to police how it is used.
Costs governed, from the model down to the user
It is often the bill for AI usage across the organization that makes the need to track and understand that consumption concrete. A more expensive model adopted by one team, a volume spike on an agent nobody is watching, spend spread across several providers with no consolidated view.
Control Tower lets administrators track spend in real time, broken down by provider, model, team and user. Rather than waiting for the monthly invoice or reconciling figures in a spreadsheet, administrators have a continuous picture they can act on before a threshold is reached.
Daily or monthly spend caps can be set per user, per team or per department. Automated alerts fire ahead of a limit to prevent overruns, without interrupting work already underway. Teams can keep exploring and integrating AI with the room they need, while budgets stay predictable.
Visibility on activity, accountability for every agent
As the number of assistants and applications grows in an organization, one question keeps coming back: who is responsible for what? An agent handling a rising volume of requests, or reaching into sensitive data, should always have an identifiable owner, with a clear picture of its active user base, its connected data sources and its consumption.
Control Tower gives administrators that visibility. Selecting an assistant or an application opens the context needed to assess its footprint. When it is time to act, ownership can be transferred to another person or team, and bulk actions can enable, disable or reassign several items at once.
The right tools for the right people
Not every Forra capability suits everyone in an organization. Some teams need access to powerful tools for complex use cases; others only need the basics.
Control Tower lets administrators define precisely what each user or group can access. The right tools reach the right people, without unnecessary exposure or noise. That is also what separates an adoption that lingers as a pilot from a deployment at scale the organization can stand behind.
Full flexibility in selecting AI models
The model landscape keeps shifting, and Forra makes the newest models available as soon as they launch. Which models are available to the organization is a decision for its administrators. Some organizations open the full Forra catalog of more than 100 models; others prefer to limit the selection to about twenty suited to their use cases.
That control is not only a matter of preference. For less experienced users, a catalog that is too broad can be a source of confusion rather than an advantage. On cost, the difference is real: frontier models consume significantly more tokens than mid-range models that, for many everyday use cases, offer a better return. Letting administrators choose which models are available simplifies the experience for teams and keeps the bill aligned with what the organization actually needs.
Control Tower is available now.