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Put AI agents to work with institutional control.

AIOS is the control plane for governed agentic work, connecting agent management, workflows, execution environments, governance, and evaluation in one operating system.

Explore the 5 platform areas

Five connected platform areas. One governed operating path.

AIOS connects the capabilities institutions need to set agents up, manage their work, run them in approved environments, govern every outcome and improve performance over time.

AGENT MANAGEMENT

Set every agent up with a clear role, access and accountability.

AIOS treats each agent as a governed member of the workforce, with a defined identity, profile, knowledge, skills and tools.

Give every agent a secure workforce identity, with role-based access managed under institution-defined identity and access controls.

Centrally manage approved model providers and route work to the right model based on task, policy, performance, and cost.
Scale reusable know-how through a Skills Registry, then assign each skill to the profiles that need it.
Give agents the right context at the start of each case through a Knowledge Fabric of documents, code, policies and prior work case studies.
Help agents act in real systems through a Tools Registry that assigns MCP-based tools to the right profile.

WORK MANAGEMENT

Manage the full lifecycle of agent work.

Agent Work Management helps you create cases, guide work through governed workflows and turn reviewed results into case studies that improve future work.

Create cases for one-time, scheduled or continuous agent work.
Give every case the work type, context, routing, attachments and compute it needs to get started.
Move cases through preconfigured or custom workflows that automate handoffs between steps.
Keep people in control with review, approval, feedback and question-answering gates wherever work requires human judgment.
Reproduce every result by keeping each case pinned to the exact workflow version it launched with.
Retain a complete record of every decision, action and result so completed work is visible and auditable.
Improve future work by turning reviewed artifacts and feedback into case studies in the Knowledge Fabric.

EXECUTION ENVIRONMENT

Run agent work in an approved environment.

AIOS prepares the physical or cloud environment where agent work runs, with identity, access and resources set before execution starts.

Turn approved physical devices into ready-to-use agent environments with the right identity, access and security controls.
Run workloads in your approved cloud environment, configuring virtual machines or Docker containers around each workload’s identity, capacity and runtime needs.

CONTROL TOWER

Monitor, govern and prove every agent outcome.

AIOS brings traces, analytics, cost, role-based access and proof of work together in the Control Tower.

Get full observability and auditability of agent work with turn-level traces of the prompt, output, token counts, model selection and execution time.
Improve agent performance by tracking outcomes, re-run cycles, repeated mistakes and human input.
Attribute every dollar spent on agent work across LLM token and compute costs, with every model and turn captured.
Govern who can view and act on agent work with role-based access controls.

Prove how every outcome was reached with a complete, auditable evidence trail of plans, transcripts, approvals, artifacts, and test evidence.

EVALUATIONS

Measure how agents perform and where to improve.

AIOS evaluates cases throughout their lifecycle, using rubrics, benchmark sets and experiments built around your institution’s own work.

Set a clear standard for agent quality with deterministic signals, LLM-as-judge criteria and weighted scores.
Evaluate agents against groups of historical cases that reflect the work your institution needs them to do.
Track performance during a workflow, on demand or through scheduled runs that help detect drift over time.
See performance, decision reasoning and where human intervention is needed.
Compare models on your own cases, data and environment to decide what works best for each use case.

Ready to take control of agentic work?

Request a briefing with the Zafin AIOS team to discuss your agentic AI, workflow or modernization priorities, define a high-value starting point for your organization, and identify where agentic work can create measurable value with authority, cost controls, and proof of work built-in.

Frequently asked questions

AIOS connects the agents, models, tools, knowledge sources and environments your institution already chooses to use. It provides a governed operating path for how they work together, without requiring a single model provider or a disconnected set of point tools.

Orchestration is one part of AIOS. AIOS also brings together identity and access, workflow controls, human authority, proof of work, cost visibility and evaluations, so institutions can govern the full lifecycle of agentic work.
Your institution defines where people need to review, approve, provide feedback, answer questions or stop work. AIOS builds those decision points into the workflow, alongside the evidence needed to support each outcome.

AIOS gives institutions multiple ways to start, one workflow at a time. Today, Zafin is focused on three starting points: governed software and application delivery, modernising institutional systems and workflows, and making regulated work and evidence operations more defensible.


The right place to begin is the workflow where you need faster execution, clearer control and evidence you can stand behind.

Yes. Zafin is Customer Zero for AIOS. We are applying it to governed Banking Platform development work, including Deal Manager enhancement requests and defect resolution.

 

  • 100% of AIOS-routed work is instrumented with status, duration, cost visibility and proof of work.
  • 80% reduction in cost per resolution through model-use optimisation and workflow visibility.
  • 75% more enhancement requests and defects resolved without proportional engineering-capacity growth.
 
 
Metrics reflect initial Customer Zero use cases and in-scope workflows at Zafin. Results may vary by workflow complexity, operating environment, implementation scope and measurement period.
Start with a bounded workflow where the business goal, the required knowledge and systems, the control points, and the measures of success are clear. This could be a software-delivery workflow such as an enhancement, defect, testing process or vulnerability-remediation task.