Built for Operations Leaders

See and control every AI tool your teams use - before it becomes a compliance incident.

Give teams access to AI tools while enforcing policy, reducing operational risk, and keeping audit evidence ready before legal or procurement asks.

Book a 30-minute operations briefing See the operations map ->

Deploys in under 30 minutes

No endpoint agent required

Works with existing SSO

What this covers

Operations-focused AI governance means enforcing practical policy controls across daily AI usage so teams can move quickly without creating avoidable compliance and execution risk.

What Qadar solves for operations teams

Four operational gaps Qadar closes from day one.

"Different teams are using different AI tools. We cannot see who is sending what data where."

Qadar creates one visibility layer across browser, desktop, and mobile AI usage. You can see tool adoption, policy outcomes, and risky behavior patterns by team without waiting on ad hoc reporting.

"Legal and procurement keep asking how AI usage is governed. We scramble every time."

Every policy decision is logged in a structured schema with user identity, timestamp, model/provider, and outcome. Export evidence to existing workflows via webhook or S3.

"We need tighter controls for some teams, but we cannot block everyone."

Apply role-based and environment-based policy profiles. Keep low-risk workflows fast while adding approval gates and stricter controls where regulation or contract terms require them.

"We need rollout confidence before company-wide expansion."

Start with monitor mode, then enforce policy in phases. Qadar supports staged rollout so operations can validate real usage patterns before promotion to stricter controls.

What you get

Operational capabilities for AI governance at scale

Central usage visibility

Track AI usage and policy outcomes across tools, teams, and regions from one control plane instead of siloed dashboards.

Policy enforcement at runtime

Enforce data handling and acceptable-use policy at request time, before risky prompts or actions create downstream incidents.

Role-based controls

Different guardrails for operations, sales, engineering, and support teams, managed centrally with one governance model.

Audit-ready decision logs

Every policy decision is captured with consistent metadata for legal review, procurement questionnaires, and internal controls reporting.

Staged rollout path

Move from monitor to enforce mode gradually so teams can adopt AI with clear governance checkpoints instead of abrupt policy rollouts.

Export to existing workflows

Send structured events to SIEM or compliance operations via webhook or S3, so governance data lands where teams already work.

Common questions

What operations leaders ask before rollout

How quickly can we deploy?

Most operations teams can deploy in under 30 minutes for initial visibility and policy monitoring. You can then move to staged enforcement for higher-risk patterns once baseline usage is mapped.

Do we need IT to install anything?

No endpoint agent is required for core coverage. Qadar runs as a governance layer for approved AI workflows and can integrate with existing SSO and identity policies without full endpoint deployment.

What does the audit trail show our compliance team?

The audit trail includes user identity, model/provider, timestamp, request classification, and policy outcome for each event. Compliance and legal teams can query this in Shield Control or export by webhook or S3 for evidence workflows.

Can we set different policies per department?

Yes. Qadar supports role-based and department-based policy controls so operations can apply stricter rules for finance, legal, support, or regulated workflows while keeping low-risk teams productive.

Request Access

Scoped to your stack, workflows, and risk posture
Pilot-first rollout — no platform rip-and-replace required
Response from the Qadar team within 48 hours