The Enterprise
AI Control Plane
Wag-Tail AI Gateway is the secure governance layer between your organization and AI providers such as OpenAI, Azure OpenAI, Anthropic, and Google. Every AI request passes through the gateway — giving you cost control, data protection, compliance, and resilience, without changing how employees use AI.
The Challenge
AI adoption is accelerating across every department — customer service, engineering, operations, finance, and sales. Teams are integrating tools like ChatGPT, OpenAI, Azure OpenAI, Claude, and Google AI directly into daily workflows. While this drives productivity, it also creates new business risks that most organizations are not prepared to manage.
1. Uncontrolled AI Spending
Without centralized oversight, AI costs can grow rapidly:
- No visibility into which teams or applications are driving usage
- Duplicate requests generate unnecessary API charges
- No spending limits or governance controls
- Vendor lock-in reduces pricing leverage
2. Data & Security Exposure
Employees may unintentionally send sensitive information to external AI providers:
- Customer personal data (PII)
- Financial information
- Internal documents
- Trade secrets and source code
Most organizations lack controls to inspect, block, or audit these interactions.
3. Operational & Compliance Risks
AI services are now becoming business-critical infrastructure:
- Provider outages can disrupt operations
- No audit trail for compliance and investigations
- No policy enforcement or centralized governance
- No resilience or failover between AI vendors
The question is no longer whether AI will be adopted. The question is whether your organization adopts AI with governance and control — or reacts after an incident.
What Wag-Tail Delivers
Wag-Tail AI Gateway acts as a secure control layer between your organization and AI providers such as OpenAI, Azure OpenAI, Anthropic, and Google. Every AI request passes through the gateway before reaching external providers — without changing how employees use AI.
Your Applications
Existing AI API calls, redirected
Wag-Tail AI Gateway
- Usage & spend by team, app, model
- Semantic caching & prompt compression
- PII detection & masking
- Threat & injection protection
- Automatic multi-provider failover
- Circuit breakers & monitoring
- Policy enforcement
- Full audit & compliance trail
AI Providers
OpenAI, Azure OpenAI, Anthropic, Google
Always-On AI Operations
One provider goes down. Your AI doesn't. Wag-Tail's intelligent routing gives your operations a stable LLM environment — if the primary provider fails or degrades, traffic switches to a healthy provider automatically, so your applications keep running.
Primary LLM
Provider outage or degradation detected
Backup LLM
A healthy provider serves the request — users never notice
Automatic Failover
If a provider goes down, traffic reroutes to a healthy LLM within seconds — no manual intervention required.
Circuit Breakers
Unstable providers are automatically taken out of rotation to prevent cascading failures and timeouts.
Health Monitoring
Continuous checks on provider availability, latency, and error rates keep routing decisions accurate in real time.
Zero-Downtime Switching
Provider changes happen behind the scenes, so operations and end users experience stable, uninterrupted service.
Three Business Pillars
Cost optimization, security & governance, and reliability — the three outcomes enterprises need to adopt AI with confidence.
1. Cost Optimization & Financial Control
Full visibility into AI spending — track usage and costs by department, team, application, AI model, and individual project. No more unexpected monthly invoices.
Reduce AI API costs:
- Semantic caching — repeated or similar queries are answered instantly from cache
- Prompt compression — reduces token usage before requests are sent
- Smart routing — automatically selects the most cost-effective AI provider
Organizations with repetitive workloads commonly reduce AI API costs by 60–80%.
Budget enforcement — set spending limits by team, department, project, and environment to prevent runaway usage automatically.
2. Security & Governance
Protect sensitive data — automatically detect and mask sensitive information before it reaches external AI providers, including emails, phone numbers, IDs, and customer information.
AI threat protection — built-in controls help block:
- Prompt injection attacks
- Jailbreak attempts
- Policy-violating requests
- Unsafe AI outputs
Full audit & compliance trail — every interaction is logged: who made the request, which model was used, what data was blocked, and why actions were taken.
Enterprise security integration — integrates with platforms such as F5 AI Gateway and other existing security controls.
3. Reliability & Business Continuity
Automatic failover between AI providers — if one provider experiences downtime or degradation, traffic automatically switches to another provider within seconds. Users continue working without disruption.
Intelligent traffic protection — built-in circuit breakers automatically stop sending traffic to unstable providers, preventing cascading failures.
Real-time monitoring — executives and operations teams gain visibility into:
- Provider availability
- Latency
- Error rates
- Usage trends
Business Impact
The difference between reacting to AI risk and governing it.
Without an AI Gateway
Organizations typically face:
- Rising and unpredictable AI costs
- No accountability for AI usage
- Sensitive data exposure risks
- Lack of compliance visibility
- Vendor lock-in
- Service disruptions during provider outages
With Wag-Tail AI Gateway
Organizations gain:
- Controlled and optimized AI spending
- Enterprise-grade security controls
- Full governance and auditability
- Resilient multi-provider architecture
- Faster and safer enterprise AI adoption
AI becomes a governed business capability instead of an unmanaged operational risk.
ROI Illustration
For an organization spending approximately USD $50,000 / month on AI APIs, typical savings break down as follows:
Semantic Caching
Prompt Compression
Smart Routing
Total Potential Savings
Illustrative estimate based on repetitive enterprise workloads. Actual savings vary by usage patterns and configuration.
Deployment
Wag-Tail deploys as a lightweight layer within your existing infrastructure. No major application redesign is required — applications simply redirect AI API calls through the gateway, and controls become active immediately.
On-Premise
Run entirely within your own data center for maximum control over data and infrastructure.
Private Cloud
Deploy in your private cloud environment with full isolation and governance.
Hybrid
Combine on-premise and cloud deployments to match your operational and compliance needs.
Docker-Based
Ship as a containerized layer with Docker for fast, repeatable deployment anywhere.
Fast adoption. Applications simply redirect AI API calls through the gateway, and controls become active immediately.
Executive Summary
Wag-Tail AI Gateway enables organizations to adopt AI confidently and at scale. It provides the governance layer that enterprises need to control costs, protect sensitive data, maintain compliance, ensure operational resilience, and avoid vendor lock-in.
In short, Wag-Tail transforms AI from an unmanaged expense into a secure, governed, and optimized enterprise capability.
Ready to govern your enterprise AI?