The governed execution layer for trusted enterprise AI action

Governance · Execution · Assurance

avirat.ai helps businesses move AI from pilots, prompts, and isolated agents into governed execution across real systems, roles, policies, approvals, costs, and evidence.

LineLine

Let's understand your priorities

Tell us a little about yourself. We will route your request to the right person.

We’ll use this only to tailor the walkthrough. No spam.

Market Shift

AI agents are joining
the workforce.

Qoute

Now, we’re entering the era of physical AI, AI that can perceive, reason, plan and act.

Jensen Huang

Jensen Huang

CEO, NVIDIA

AI is no longer just drafting, summarizing, classifying, or searching. It is beginning to plan, decide, coordinate, trigger workflows, call tools, update systems, and complete work.

That changes
the enterprise question

Can AI help?

Can AI be trusted to act?

Line
AI adoption

88%

of organizations now report regular AI use in at least one business function.

Agent experimentation

39%

are already experimenting with AI agents.

Agentic scaling

23%

are scaling agentic AI somewhere in the enterprise.

Source- McKinsey: The State of AI: Global Survey 2025

The Problem

Ungoverned AI execution creates enterprise risk.

As agents move into real workflows, enterprises face a new risk. AI-driven work starts spreading faster than control, visibility, and accountability.

Agent
sprawl
Multiple agents emerge across teams without shared standards, ownership, or oversight.
Shadow
AI agents
Teams deploy agents outside approved systems, creating hidden risk and fragmented control.
Conflicting
autonomous agents
Agents act on different instructions, policies, or data sources, creating inconsistent outcomes.
Untraceable
business decisions
Actions are taken without clear records of what happened, why, and under whose authority.
Siloed platform
governance
Controls stay locked inside individual tools instead of governing work across systems.
Lack of
observability
Leaders cannot see agent activity, exceptions, costs, approvals, or outcomes in one place.
Qoute
The next enterprise AI gap is not adoption. It is governed execution; the layer that makes agentic work controlled, auditable, cost-aware, and safe to run.” Qoute

Trust Infrastructure

What production AI needs before it can act.

Once AI starts taking action, trust cannot depend on intent. It needs infrastructure that controls context, authority, execution, failure, cost, and evidence while work is being done.

Grounding
AI must act on approved, current, relevant context.
Continuity of Context
Workflows need memory across systems, people, agents, policies, and time.
Agent Orchestration
Execution needs sequencing, state, fault tolerance, and escalation.
Authority
Every action needs explicit limits on access, change, approvals, and spend.
Evidence
Every decision, tool call, approval, exception, and outcome must be defensible.
Managing Failure
Failures need rollback, compensation, human escalation, or a defined terminal state.
Economics
Cost must be controlled by step, workflow, model, tool, and outcome.

Agent adoption is scaling faster
than governance.

Only 21% of surveyed enterprises have mature governance in place for agentic AI, yet 74% expect to use AI agents, at least moderately, by 2027.

Can Help

Introducing avirat.ai

avirat.ai - an operating layer for governed AI execution.

avirat.ai helps businesses run agentic workflows across existing systems with governance, execution, and assurance built in.

It does not replace CRMs, ERPs, service desks, finance systems, or approval tools. It makes the work between them controlled, coordinated, and accountable.

It governs the work
that moves between them.

Bot Image

Governance

Control what AI is allowed to do.
Set boundaries for what AI can access, decide, trigger, approve, escalate, or spend.
Bot Image

Execution

Coordinate how AI work gets done.
Orchestrate agents, tools, workflows, systems, approvals, and exceptions while work is being done.
Bot Image

Assurance

Prove what happened and why.
Capture the evidence needed to review, trust, audit, improve, and scale AI work.
The result
AI agents can act with clear authority, runtime controls, cost visibility, and evidence for every outcome.

See what governed execution looks like

Explore how avirat controls, coordinates, and evidences AI work across existing enterprise systems.

Platform Capabilities

The platform for governed AI execution.

avirat.ai brings together the capabilities that make AI work controlled, coordinated, cost-aware, and auditable enough to move from experimentation to production.

Intent-to-Workflow Creation
Turn business requests into agentic workflows with defined roles, tools, systems, policies, and boundaries.
Collaborative
Workflow Spaces
Give teams a shared environment to create, test, manage, and improve AI workflows.
Enterprise System
Integrations
Connect AI work to CRMs, ERPs, service desks, finance systems, HR tools, documents, APIs, and other enterprise systems.
Multi-agent
Orchestration
Coordinate specialist agents, tools, system actions, workflow state, and escalation paths.
Workflow
Economics
Control spend through budgets, model routing, retries, caching, limits, and workflow-level cost visibility.
Trace View &
Audit Evidence
Track every run with trace evidence, decision records, tool calls, approvals, exceptions, costs, and outcomes.
Runtime Policy
Enforcement
Apply controls at four levels for:
  • Platform
  • Workflow
  • Agent
  • Tool

Industry Solutions

Purpose-built intelligence for complex enterprise environments.

Start with one workflow.
Scale the pattern.

avirat.ai helps teams prove value with focused industry workflows, then reuse the same control, orchestration, and evidence patterns across systems, teams, and business units.

Image
Bot Image
Insurance
  • Claims review and investigation
  • Underwriting support
  • Fraud and exception routing
Image
Bot Image
Pharma &
Healthcare
  • Regulatory monitoring
  • Quality audits
  • Documentation compliance
Image
Bot Image
Finance
  • Risk assessment
  • Regulatory compliance
  • Automated reporting
Image
Bot Image
Manufacturing
Supply Chain
  • Operations optimization
  • Supply chain intelligence
  • Quality control
Image
Bot Image
Construction
& Infrastructure
  • Compliance monitoring
  • Vendor management
  • Project monitoring and reporting
Image
Bot Image
Enterprise
Operations
  • Support workflows
  • GRC and audit workflows
  • IT and operational escalation
Image
Bot Image
Media &
Publishing
  • Rights and usage review
  • Content approval workflows
  • Editorial operations and compliance

Ready for the Enterprise

Designed for the operational realities of enterprise AI.

Enterprise AI needs more than a working agent. It needs permissions, policies, approvals, integrations, deployment control, and evidence built into execution from day one. avirat.ai is designed for the realities of enterprise AI adoption.

Security & Compliance
Permission-aware execution, role-based access, approvals, and reviewable evidence.
Governance
Policies, audit trails, exception handling, and human-in-the-loop controls built into execution.
Operating Controls
Usage visibility, execution limits, workflow guardrails, retry controls, and model/tool routing.
Integration
Connectivity across systems, tools, APIs, data sources, models, and existing workflows.
Deployment Flexibility
SaaS, private hosted, on-prem, or air-gapped deployment options.

Do not stop at AI capability.
Build AI that can be trusted to act.