Control AI decisions
before they become
operational risk.
Ariva AI helps organizations design, enforce, and audit AI governance across tools, teams, workflows, and operational systems — through expert advisory and the Arbiter governance platform.
Advisory designs the governance model. Arbiter enforces and operates it.
The Governance Gap
AI adoption outpaced governance by years.
Organizations deployed AI tools for productivity — in engineering teams, customer workflows, operations, and procurement — without building the governance infrastructure to control them.
The result is an AI environment that is visible in outputs but invisible in controls. Spend accumulates without attribution. Tools proliferate without approval. Decisions are made without audit trails.
Governance is not a compliance exercise. It is the operational infrastructure that determines whether AI creates value or creates risk.
Most organizations — have an AI policy document. Fewer than one in five have implemented it as operational controls.
Shadow AI — tools are used by operational teams without IT or security review in the majority of mid-market enterprises.
No audit trail — exists for AI-assisted decisions in most organizations — creating compliance exposure that grows every quarter.
Operations — have developed critical dependencies on AI systems with no continuity plan when those systems fail.
What Goes Wrong
Six governance failures that compound silently.
These are not hypothetical risks. They appear in every governance assessment we conduct.
AI spend grows without ownership
No per-team or per-use-case attribution. Finance discovers the exposure when the invoice arrives — months after the decisions that caused it.
Tools deployed outside approved processes
Operational teams adopt AI tools without IT review, security sign-off, or data governance classification. The footprint grows invisibly.
AI recommendations become actions without review
AI-generated outputs influence operational decisions — pricing, procurement, logistics — with no approval requirement and no human sign-off threshold.
Access decisions bypass separation of duties
AI systems handle approvals, access requests, and authorizations without the controls that human workflows have enforced for decades.
Operations depend on models no one audits
When a vendor updates a model, changes API behavior, or goes offline, operations that depend on it fail with no fallback and no continuity plan.
Leadership lacks evidence of control
When a board, regulator, or auditor asks for evidence that AI is governed — policy documents exist. Operational evidence does not.
The Ariva AI Model
Design the governance model. Then enforce it.
Every engagement produces a governance architecture that Arbiter deploys into production. Advisory is how you design what gets enforced. Arbiter is what enforces it.
Advisory
Governance Architecture
We map your AI footprint, score your governance gaps, and design the policy framework, approval workflows, decision boundaries, and budget controls that your organization needs.
Ariva AI Advisory
Arbiter
Governance Operations
Arbiter deploys the governance architecture as operational controls. Every policy becomes an enforcement rule. Every approval becomes a workflow. Every decision becomes an audit record.
Arbiter Platform
Continuous
Governance Evidence
Governance doesn't stop at deployment. Arbiter monitors, reports, and produces the compliance evidence that demonstrates control to boards, regulators, and auditors.
Ongoing Operations
The Platform
Arbiter: the governance
operating system for
enterprise AI.
Arbiter turns AI governance policies into enforceable operational controls. It sits between your applications and your AI providers, evaluating every request against your governance policy before the model is called.
Budget limits that block, not just alert. Model policies that restrict, not just document. Approval workflows with separation of duties. An audit trail that satisfies compliance review.
One URL change. No code modifications. Full governance active from day one.
Explore Arbiter →Hard and soft budget limits per team, project, or use case. Requests that breach limits are blocked before the model is called.
Rule-based blocking of requests that violate approved model, team, or access policies. Deterministic. Auditable.
Configurable approval chains for high-stakes AI requests. Separation of duties enforced at the request layer.
Complete log of every AI interaction: provider, model, cost, attribution, decision, and outcome. Compliance-ready.
Transparently redirect requests to different models based on policy. No application code changes required.
Intercept AI-generated responses before they reach applications or end users. Detect and suppress dangerous content.
Policy Violations Blocked
247
↑ 12 today
Budget Alerts Triggered
18
3 teams over threshold
Approval Requests Pending
6
Avg 2.4h to resolve
Audit Records Generated
14,203
Last 30 days
Recent Enforcement Events
LiveAriva AI Advisory
Governance architecture you can actually enforce.
Most governance programs produce documentation. Ariva AI Advisory produces governance architecture — the policies, controls, workflows, and rules that Arbiter deploys into production.
We work with CTOs, CISOs, and operations leaders who need governance infrastructure, not a policy template. Every advisory engagement concludes with an Arbiter deployment specification and an implementation roadmap.
Learn About Advisory →Assess
Map your AI footprint. Score governance gaps across visibility, policy, controls, accountability, and resilience.
Design
Define the governance architecture: policies, approval workflows, decision boundaries, budget controls, separation of duties.
Specify
Produce the Arbiter deployment specification — the exact enforcement rules Arbiter will run in production.
Deploy
Arbiter goes live with governance active. Advisory team supports activation and the first 90 days of operation.
Operational Resilience
Governance is not only about compliance.
AI is embedded in decisions your operations cannot afford to get wrong — warehouse workflows, procurement approvals, supply chain re-routing, customer escalations. When those systems fail or behave unexpectedly, organizations without governance infrastructure have no circuit breakers, no override protocols, and no audit trail.
Ariva AI designs operational resilience into the governance architecture. Human override thresholds. Vendor failure protocols. Continuity procedures for AI-dependent workflows. Arbiter enforces the controls that keep operations running.
Explore Operational Resilience →Warehouse automation
AI-generated pick instructions fail when vendor model updates without notice. No human override threshold was configured.
Procurement approvals
AI-assisted contract review passes items a previous model would have flagged. No approval requirement existed above a spend threshold.
Supply chain re-routing
AI routing recommendations execute automatically. The model's training data doesn't include current carrier constraints. No human review gate.
Model vendor failure
Critical operational workflow depends on a third-party AI API. Vendor experiences outage. Organization has no documented fallback procedure.
What Assessments Reveal
Real governance gaps, found in real organizations.
These are representative findings from governance assessments. All organizations are anonymized.
Mid-market logistics firm · 1,200 employees
Shadow AI / Visibility
14 AI tools in active operational use. 3 were known to IT. 11 had been adopted by operations teams without approval, security review, or data governance sign-off. Two were processing customer PII.
Gap: No AI procurement policy. No vendor review process. No data classification requirement for AI tools.
Financial services firm · 3,000 employees
Spend / Budget Controls
6 AI APIs connected directly from production services. Total monthly spend: unattributed. No per-team or per-project attribution. No budget approval had been obtained for AI spend.
Gap: No budget governance. No spend visibility by team. No approval workflow for AI API procurement.
Enterprise retailer · 8,000 employees
Compliance / Accountability
AI-assisted recommendations were influencing promotional pricing decisions. No audit trail of which AI recommendation drove which decision. No approval requirement above any threshold.
Gap: No decision accountability framework. No compliance evidence for AI-influenced pricing decisions.
Manufacturing firm · 500 employees
Operational Resilience
Production planning had a critical dependency on a single third-party AI forecasting vendor. When the vendor experienced a 6-hour outage, the planning team had no fallback and no documented override procedure.
Gap: No operational continuity plan for AI-dependent workflows. No vendor failure protocol.
Start Here
Understand your governance exposure.
Two entry points depending on where you are in the process.
Self-Serve · Free · Instant
Governance Readiness Assessment
10 questions across visibility, policy enforcement, operational controls, and compliance readiness. Scored results. No email required.
Take the Assessment →Guided · 30-Minute Conversation
Executive Governance Review
A structured conversation with a governance architect. We map your AI footprint, score your gaps, and recommend the governance architecture that Arbiter would enforce.
Request a Governance Review →