Sirius is Tayana's operational platform for AI agents that are already in production. It gives operations managers, department heads, and reviewers a single interface to configure workflows, manage inputs, handle human-in-loop decisions, and monitor performance, without requiring developer involvement for routine changes.
Sirius is Tayana's proprietary platform for managing AI agents after they go live. It gives the people who run, use, and monitor an AI agent a single place to configure how it works, review decisions that need human input, and track how it is performing, without going back to the development team for every change.
It is the operational layer that sits between your team and your deployed AI agent. The agent does the work. Sirius gives you control over how it does that work, and visibility into what it has done.
Most deployments surface the same gap quickly. Getting the agent built and running is one problem. Managing it week to week is another. Sirius is built for the second problem.
When an AI agent goes live, someone has to own it. That person is usually not a developer. They are an operations manager, a team lead, or a department head responsible for the outcomes the agent produces. And in most deployments, that person has no real tools to do their job.
They cannot adjust a workflow without submitting a change request to IT. They cannot see a structured queue of decisions the agent has flagged for human review. There is no dashboard showing whether the agent handled 500 interactions this week or 50, what the outcome distribution looked like, or where it slowed down. If something goes wrong, they find out from a complaint, not from the system.
The result is that AI agents underperform not because the technology fails, but because no one has operational control once the build phase ends. Teams either pull developers into routine adjustments that should not require them, or they leave configurations unchanged long after they should have been updated.
This is the primary user of Sirius. They log in to adjust workflow steps, update input files, set decision thresholds, and manage the configurations that govern how the agent behaves day to day. They may not have written a line of code, but they understand the process the agent runs and they need to tune it without IT involvement.
This user monitors performance through the Sirius analytics view. They check volumes processed, outcome rates, escalation counts, and handling times. Their focus is whether the agent is producing results, not how it is configured. Sirius surfaces that picture without requiring them to interpret raw logs or wait for a weekly report from the development team.
Some agent decisions require a human to review and approve before the agent continues. In the AR Collections Agent, certain account situations fall outside the agent's authority and get flagged for a team member to assess. That reviewer works through their queue in Sirius, sees the relevant context, and approves or redirects.
When Tayana deploys an AI agent for your organization, it is registered in Sirius. The platform connects to the agent's configuration, its data sources, and the APIs it uses. From this point, all operational management happens through Sirius rather than through the underlying code.
The operations owner uses Sirius to define or adjust how the agent executes its process. This includes the steps in the workflow, the input files the agent reads, the API connections it uses, and the rules that govern its decisions. Changes take effect without a development deployment.
Sirius lets you define the conditions under which the agent should pause and route a case to a human reviewer. You set the thresholds and the routing logic. The agent respects those rules in real time, and reviewers work through flagged cases from a structured queue rather than an inbox or a spreadsheet.
Sirius provides a current analytics view of the agent's activity. Volume, outcomes, escalation rates, processing times, and error flags are visible without pulling data from a separate system. Supervisors can see what the agent did today, this week, or over any rolling period they choose.
Based on what the analytics surface, the operations owner makes configuration changes directly in Sirius. No ticket required. No development sprint. If a workflow step is producing too many escalations, the threshold gets adjusted. If an input file structure has changed upstream, it gets updated.
The operations owner can define and modify the sequence of steps the agent follows, the decision logic at each branch point, and the rules it applies to incoming data. Adjustments are made through a structured interface, not by editing code or submitting a change request.
Sirius manages the data connections the agent relies on. Input files, API credentials, endpoint configurations, and data field mappings can all be updated from within the platform. When a source system changes, the update happens in Sirius, not in the agent's codebase.
Cases the agent has flagged for human judgment appear in a structured review queue in Sirius. Reviewers see the relevant context for each case, take action, and move on. The queue is tracked, reportable, and visible to supervisors. It does not sit in email.
Dashboards in Sirius show the agent's activity in terms the business owner understands: volume processed, outcomes by category, escalation rate, average handling time, and trend lines over time. The data reflects current activity, not a delayed export.
The operations owner can pause the agent, adjust active parameters, and restart it from Sirius without developer involvement. This matters when a data source goes down, when a business rule changes urgently, or when the team needs to take the agent offline for a defined window.
Every configuration change, human-in-loop decision, and agent action is logged in Sirius with a timestamp and a user record. This gives your organization a traceable history of how the agent has operated and who made which changes, useful for internal reviews and compliance conversations.
Sirius is a platform built by Tayana Solutions that lets business teams configure, manage, and monitor deployed AI agents. It handles workflow configuration, API and input file management, human-in-loop decision queues, performance analytics, and agent controls, all from one interface, without developer involvement for routine changes.
Sirius is designed for operations managers, department heads, and team leads who own a deployed AI agent and need to manage it day to day. It is not a developer tool. The primary users are the people responsible for the outcomes the agent produces, not the people who built it.
When an AI agent encounters a situation outside its configured authority, it flags that case and routes it to a structured queue in Sirius. A designated reviewer sees the context, makes a decision, and the agent continues. The queue is tracked and reportable. Nothing sits in email or a shared spreadsheet.
Yes. Sirius is built so that the operations owner can adjust workflow steps, update input files, change decision thresholds, and modify API configurations directly in the platform. Standard operational changes do not require a development ticket or a code deployment.
Sirius shows volume processed, outcome distributions by category, escalation rates, average handling times, and error flags. The data is current and does not require a manual export or a report request. Department heads can check agent performance at any point without going through IT.
Sirius is the management platform for AI agents built and deployed by Tayana Solutions. The AR Collections Agent is the first production agent running on Sirius. Additional agents across finance, operations, and customer service functions will be added as they are deployed.
Yes. Every configuration change, human-in-loop decision, and agent action is logged in Sirius with a timestamp and a user record. The audit trail is available for internal reviews and provides the documentation trail that compliance conversations typically require.