Put AI agents to work without losing control.
Zafin AIOS is an end-to-end agent orchestration platform and control plane for governed agentic work. It helps regulated institutions orchestrate agents, models, tools, and workflows across critical work; with human authority, cost controls, and proof of work built into the work path.
AI sprawl becomes operating-model sprawl. Every team creates its own AI path, while governance, cost, evidence, and authority lag behind.
Zafin AIOS brings agentic work into one governed path
Move from agent activity to governed operating capacity. Coordinate approved agents, models, tools, workflows, and systems through a control plane that helps institutions move faster while preserving authority, evidence, cost visibility, and control.
Create proof as work happens
Capture evidence across intent, context, actions, reviews, exceptions, cost, and outcomes so institutions can inspect how work was performed and why it moved forward.
Orchestrate governed work
Coordinate agentic work through a governed operating path, with human authority focused on intent, controls, exceptions, and consequential decisions.
Manage cost and learning by design
Track model usage, workflow effort, and cost signals while turning completed work into reusable knowledge, patterns, and proof.
Govern across AI ecosystems
Govern approved AI capabilities across workflows, permissions, routing, and oversight — without forcing a single AI stack.
How AIOS moves work from intent to governed outcome
Inside the AIOS control plane
Explore how Zafin AIOS structures agentic work, from request to execution, with grounding, evidence, review, and system connectivity built in.
Intent
Captures business intent from natural language, work tools, or existing requests, then frames it with the context, constraints, and governance requirements needed before work begins.
Orchestration
Routes work across the right agents, models, tools, workflows and review paths based on task complexity, risk, policy, cost, and required oversight.
Execution
Coordinates agentic tasks through governed workflows, with checkpoints, exceptions, and progress preserved as work moves forward.
Proof of Work
Creates the operating record behind agentic work, capturing requests, context, actions, model activity, reviews, exceptions, cost, and outcomes.
Authority
Governance
Applies permissions, policies, control gates, and evidence expectations consistently across agentic workflows.
Knowledge
Grounds agents in approved institutional context and turns completed work into reusable learning, patterns, and proof.
Connectivity
Connects agentic workflows to the systems, repositories, tools, and applications institutions already use, without forcing rip-and-replace.
AIOS is already at work inside Zafin
Zafin is Customer Zero for AIOS. We applied it first across our own product delivery, revenue operations, and governed workflows, validating the orchestration and control-plane model before bringing it to customers.
Banking platform acceleration
We used AIOS to manage enhancements and defect resolution for the Zafin Banking Platform, bringing greater control, visibility, and evidence across the software delivery lifecycle.
100%
of AIOS-routed work instrumented with status, duration, cost visibility and proof of work
80%
reduction in cost per resolution by optimizing model usage and workflow visiblity
75%
more enhancement requests and defects resolved without proportional engineering capacity growth
Revenue operations
We used AIOS to move away from off-the-shelf capabilities and create a purpose-built operating view for Zafin’s sales motion, forecasting and board reporting workflows.
100%
of in-scope customer data workflows follow defined role, access, privacy, and audit guardrails
90%
reduction in effort for board reporting by moving from 6 disconnected tools to 1 live operating view
80%
reduction in platform cost for Zafin’s existing revenue operations workflow
Capacity created
Absorb more work without adding proportional headcount.
Cycle time reduced
Move work faster through governed workflows.
Cost governed
Visibility into model usage and operating effort by workflow.
Control strengthened
Route, review and evidence work under defined controls.
Repeatability improved
Turn completed work into reusable patterns, knowledge and proof.
Where governed agentic work starts
Start where operating pressure is already visible: software delivery, modernization, or evidence-heavy work that needs speed, control, and proof. Begin with one high-impact path, prove the model, then extend the same governance, proof, and learning loop across more agentic work.
Govern agentic software delivery from request to release
Move faster without losing traceability, testing or control.
AIOS gives software and application delivery work a governed path across intake, planning, execution, testing, review, and proof. Teams can use agents to support delivery while keeping authority over controls, exceptions, evidence, and release readiness.
Accelerate governed delivery
Move work through intake, planning, execution, testing, and review with lesser manual coordination and fewer unnecessary restarts.
Keep release controls visible
Track status, review, testing, exceptions, cost, and proof across the delivery path.
Build reusable delivery knowledge
Capture decisions, proof, test results, and delivery patterns that can improve future work.
Accelerate brownfield modernization
Modernize around complex systems without losing control.
AIOS helps institutions govern the work required to understand, remediate, translate, test, and improve brownfield environments. Teams can use agents to move faster across legacy analysis, documentation, remediation, and modernization tasks while preserving human authority, evidence, and operating context
Reduce modernization drag
Use agents to support analysis, remediation, documentation, and testing across complex environments.
Preserve institutional control
Keep human authority, evidence, decisions, and operating context attached to modernization work.
Create reusable modernization patterns
Turn completed work into knowledge, proof, and patterns that can accelerate the next brownfield workflow.
Govern evidence-heavy regulated work
Make agentic output reviewable, defensible and reusable.
AIOS helps institutions coordinate agentic work where outputs, recommendations, or decisions need evidence, review and accountability. Use it for regulated research, policy interpretation, case work, approvals, exception handling, and other workflows where proof must travel with the work.
Strengthen reviewability
Capture context, rationale, evidence, exceptions, and review history as work moves forward.
Keep authority clear
Define where agents can assist, where people approve, and where work requires review.
Reuse evidence and learning
Turn completed work into proof, knowledge, and patterns that can improve future workflows.
Ready to take control of agentic work?
Start with our AIOS Accelerator Program, a time-limited, curated 30-day program for qualified institutions ready to define a starting point, assess governance needs, and identify where agentic work can create measurable value with authority, cost controls, and proof of work built-in.
Create
Create content, code and configurations with built-in governance.
Modernize
Modernize systems and processes with agentic workflows.
Optimize
Optimize decisions and outcomes with continuous insights.
Create
Create content, code and configurations with built-in governance.
Modernize
Modernize systems and processes with agentic workflows.
Optimize
Optimize decisions and outcomes with continuous insights.
Create
Create content, code and configurations with built-in governance.
Modernize
Modernize systems and processes with agentic workflows.
Optimize
Optimize decisions and outcomes with continuous insights.
Create
Create content, code and configurations with built-in governance.
Modernize
Modernize systems and processes with agentic workflows.
Optimize
Optimize decisions and outcomes with continuous insights.
Interpret
Interpret data, documents and signals with explainable AI.
Extend
Extend AIOS with your data, models and existing tools.
Coordinate
Coordinate people, agents and systems across workflows.
Interpret
Interpret data, documents and signals with explainable AI.
Extend
Extend AIOS with your data, models and existing tools.
Coordinate
Coordinate people, agents and systems across workflows.
Interpret
Interpret data, documents and signals with explainable AI.
Extend
Extend AIOS with your data, models and existing tools.
Coordinate
Coordinate people, agents and systems across workflows.
Interpret
Interpret data, documents and signals with explainable AI.
Extend
Extend AIOS with your data, models and existing tools.
Coordinate
Coordinate people, agents and systems across workflows.
Why Agentic AI Needs Proof Built In
The next phase of AI will not be won by the institutions with the most agents, but by the institutions that can govern what those agents do and prove how the work was done.
Frequently asked questions
The governed agentic delivery layer for regulated banking software. Designed for banks to build, modernize, certify, audit, and deploy software with agents, governance, proof, model orchestration, and cost control built in.
What is Zafin AIOS?
Zafin AIOS is an end-to-end agent orchestration platform and control plane for governed agentic work.
It helps regulated institutions coordinate agents, models, tools, workflows, knowledge sources, and human authority through one governed path, so agentic work can move with authority, evidence, cost controls, and proof of work built in.
Is AIOS an agent, model or copilot?
No. AIOS is not a single agent, model, or copilot.
It is the orchestration and control layer that governs how agentic work is requested, grounded, routed, executed, reviewed, evidenced, and improved across approved agents, models, tools, and enterprise systems.
Who is AIOS built for?
AIOS is built for regulated institutions that want to use agentic AI in meaningful work without losing control of governance, evidence, cost, authority, or accountability. The first focus is banking and adjacent regulated financial services, where complex systems, sensitive data, human authority, audit expectations, and modernization pressure all matter.
Where should an institution start with AIOS?
Start where speed, control and evidence all matter.
Common starting points include software and application delivery, modernization of internal systems, and workflows, regulated research, evidence-heavy operations, approval workflows, case work, and policy interpretation.
The goal is to start with one critical path, then extend the same control plane, governance model, proof of work layer, and learning loop across more governed work.
How does AIOS create proof of work?
AIOS creates a source of proof for agentic work.
It captures what was requested, what was allowed, what context was used, what happened, which agents or models participated, where humans reviewed the work, what changed, what it cost, and what proof remains.
That evidence helps institutions inspect how work was performed, reviewed, and governed without reconstructing the work path after the fact.
Does AIOS replace human review?
No. AIOS is designed to keep humans in authority where judgment, risk, approval, or escalation matter.
Agents get room to work within defined boundaries. Humans remain in authority at the points where intent, controls, review, approval, exception handling, or accountability matter most.
Does AIOS replace existing enterprise systems?
No. AIOS is designed to work across existing systems, tools, repositories, and workflows.
It helps govern agentic work as it moves across the enterprise. It does not require institutions to rip and replace their existing systems of record, operating platforms, or approved technology stack.
AIOS provides an orchestration and control layer for agentic work, connecting to the systems institutions already use rather than replacing them.
How is AIOS different from hyperscalers, model platforms or agent frameworks?
Hyperscalers, model providers, and agent frameworks are important parts of the AI ecosystem. But most institutions will use more than one cloud, model, agent framework, tool and vendor.
AIOS is designed to provide a consistent orchestration and control layer across that mixed environment. It helps institutions govern agentic work across approved AI ecosystems, rather than locking governance to one model, one cloud, or one agent stack.
AIOS sits above those environments to help coordinate how agents, models, tools, workflows and systems participate in governed work.
What is Customer Zero?
Zafin is Customer Zero for AIOS. We have applied AIOS inside our own operating environment across product delivery, internal systems, and operational workflows before scaling the model externally. This has helped us validate AIOS in a real enterprise setting where governance, evidence, integration, and control are required.
Customer Zero gives Zafin a way to prove the operating model inside its own business first, capture reusable learning, and strengthen the platform before broader customer adoption.
In the product delivery context, Zafin has seen the following results with AIOS:
- 100% of AIOS-routed work is instrumented with status, duration, cost visibility and proof of work
- 80% reduction in cost per resolution by optimizing model usage and workflow visiblity
- 75% more enhancement requests and defects resolved without proportional engineering capacity growth
In the internal systems context, Zafin has seen the following results with AIOS:
- 100% of in-scope customer data workflows follow defined role, access, privacy, and audit guardrails
- 90% reduction in effort for board reporting by moving from 6 disconnected tools to 1 live operating view
- 80% reduction in platform cost for Zafin’s existing revenue operations workflow
What is the AIOS Accelerator?
The AIOS Accelerator is a limited, 30-day program for qualified institutions that are ready to identify a high-value starting point for governed agentic work.
The program helps define the use case, governance requirements, proof needs, readiness considerations, and a recommended path for moving from AI experimentation to governed operating capacity.
It is designed to help institutions start with one focused workflow, understand what controls and evidence are required, and determine the right path toward a governed AIOS engagement.
To learn more about the Accelerator program, click here.
