Programmable Trust for Enterprise AI
From AI pilots to production autonomy, safely and with full control.
See How AI Can Act Safely in the Real World
Just a few quick details so we can tailor the walkthrough
Why AI Struggles Beyond
the Pilot Stage
Most organizations already use AI tools. The challenge begins when AI is required to execute real work that affects customers, finances, or operations.
That is where safety, accountability, and trust start to matter.
Ungoverned autonomy
Agents can act, but risk teams can't approve what they can't see or constrain.
No evidence of the decision trail
There's no clear record of why an action happened, who approved it, or under which rules.
Workflows that don't hold up
Quick fixes break when systems and policies change or when risk and compliance step in.
What's Missing?
Organizations do not need more models and agents. They need governed execution, a way for AI to act responsibly within real-world rules. AI must operate with clear boundaries, visible decisions, and the confidence that leaders can stand behind it.
If it cannot be governed, logged, and explained, it does not run.
What is avirat.ai
avirat.ai is the governed execution layer for enterprise AI.
It turns intent into policy-bound workflows that execute safely, produce clear evidence of what happened, and keep AI costs predictable through controlled, auditable usage.
Policy-first orchestration
Rules are defined before AI acts, not after.
Human oversight
Approvals and escalation are built in where decisions matter, no black boxes.
Cross-system execution
Works across your existing tools and platforms, not in silos.
Trace view
A complete record of every decision and action, ready when needed.
How Governed Execution Works
A simple execution loop designed for regulated environments.
Why This
Matters Now
The bottleneck has moved. Execution, not intelligence, is now what holds AI back.
