Why Pay Frontier Prices for Routine Tasks?
AI Orchestration That Knows Which Model to Use.
Frontier models for complex reasoning. Efficient models for routine queries. Open-source for cost-sensitive workloads. Self-hosted for sensitive data. Our orchestration layer routes every request to the optimal model—automatically—cutting AI costs 30-50% while improving performance and governance.
AI Costs Are Spiraling. And Nobody Knows Why.
Your AI spending last month surprised you. This month will be worse. Enterprises are discovering an uncomfortable truth: the same flexibility that makes AI powerful also makes it expensive and unpredictable.
Teams spin up new AI features without visibility into costs. Developers default to the most capable (and expensive) models for every task. And when the invoice arrives, nobody can explain where the money went.
This isn't a technology problem. It's an orchestration problem.
The "GPT-4 Everything" Problem
Every team uses the most powerful model for every task—summarization, classification, simple Q&A. You're paying premium prices for work that cheaper models handle equally well.
The Visibility Gap
Your finance team asks which department is driving AI costs. Your engineering team can't answer because usage is scattered across direct API calls, different providers, and multiple projects with no unified tracking.
The Governance Vacuum
Different teams use different AI providers with different security postures. Sensitive data flows through APIs without consistent controls. Compliance asks for an audit trail. You don't have one.
The Vendor Lock-In Trap
You built your application around OpenAI's API. Now you want to test Claude or use a self-hosted model for sensitive data. But your code is tightly coupled to one provider, making any switch a major rewrite.
The "Frontier Model Everything" Problem
Most enterprises default to their most powerful (and expensive) model for every request. It's like taking an Uber Black to the grocery store—it works, but you're dramatically overpaying.
of AI requests don't need frontier models
Simple queries, routine classifications, and basic extractions running through premium pricing.
What are you actually spending?
No breakdown by use case, department, or model. Finance asks questions you can't answer.
Single point of failure
When your provider has an outage or raises prices, your entire AI capability stops.
No spending limits or policies
Any team can spin up any model. No budget controls, no audit trail, no compliance.
The bottom line: Your systems aren't just disconnected—they're actively holding back your business. Every AI query routed through premium models unnecessarily. Every cost question you can't answer. Every governance gap waiting to become an audit finding. These aren't technology problems. They're business problems with technology solutions.
Intelligent Routing: Right Model, Right Task, Right Price
Our orchestration layer analyzes every request and routes it to the optimal model based on complexity, cost, latency requirements, and data sensitivity—automatically.
Frontier Models
Complex Reasoning & Analysis
Multi-step reasoning, nuanced analysis, complex code generation, creative synthesis.
Efficient Models
Balanced Performance
Standard chat, moderate complexity, everyday business tasks.
Lightweight Models
High-Volume, Low-Cost
Simple Q&A, basic classification, routine extraction, bulk processing.
Self-Hosted / Private
Sensitive & Regulated
PII processing, healthcare data, financial records, proprietary information.
The orchestration layer learns your patterns. Over time, routing decisions become more precise, costs decrease further, and performance improves.
What is AI Orchestration?
AI orchestration is the control layer that sits between your applications and your AI models. Think of it as an intelligent traffic controller that decides which model handles each request, tracks every interaction, enforces policies, and optimizes for cost and performance.
Without orchestration, every application team makes their own decisions about which AI providers to use, how to handle errors, and how to track costs. With orchestration, you have a single point of control that standardizes, monitors, and optimizes all AI interactions across your organization.
Intelligent Routing
Route requests to the optimal model based on task complexity, cost, latency requirements, or custom rules. Simple tasks go to fast, cheap models. Complex reasoning goes to capable models.
Cost Management
Set budgets by team, project, or application. Get alerts before limits are reached. Track cost per request, per user, per feature. Know exactly where your AI budget goes.
Unified Access
One API for all models—OpenAI, Anthropic, Google, open-source, self-hosted. Switch providers without code changes. Test new models without integration work.
Governance & Compliance
Enforce data handling policies. Mask sensitive information. Maintain audit trails for every request. Meet compliance requirements without slowing development.
Reliability & Fallbacks
Automatic failover when providers experience outages. Retry logic for transient errors. Rate limiting to prevent service degradation.
Observability
Real-time dashboards showing usage, costs, latency, and errors. Historical analysis for optimization. Anomaly detection for cost spikes or quality issues.
How We Deploy AI Orchestration
We don't sell you a platform and walk away. We implement orchestration that integrates with your existing infrastructure, reflects your actual usage patterns, and delivers measurable cost reduction from day one.
Discovery & Architecture
We analyze your current AI usage across all teams, providers, and applications. You'll get complete visibility into where costs originate, which models are used for what, and where optimization opportunities exist.
- AI usage audit across all applications and teams
- Cost attribution analysis by team, project, and feature
- Model utilization report showing task-to-model mapping
- Architecture recommendation with specific savings projections
Gateway Implementation
We deploy the orchestration layer that becomes your unified AI control plane. All AI traffic routes through the gateway, enabling consistent policies, routing rules, and cost tracking.
- Production AI gateway deployment
- Integration with existing applications (minimal code changes)
- Provider connections (OpenAI, Anthropic, Google, open-source)
- Authentication and access control setup
Routing & Optimization
We implement intelligent routing based on your actual usage patterns. Simple requests get routed to cost-effective models. Complex requests go to capable models. Custom rules handle your specific requirements.
- Routing rules based on task complexity analysis
- Cost optimization policies by use case
- Caching configuration for common requests
- Performance benchmarks comparing routed vs. direct access
Governance & Launch
We configure governance policies, budget controls, and monitoring dashboards. Your team gets trained on operations and optimization. You launch with full visibility and control.
- Budget caps and alerting by team/project
- Compliance policies and audit logging
- Executive dashboard with cost and usage analytics
- Team training on operations and optimization
- Operational runbook for ongoing management
Discovery & Architecture
We analyze your current AI usage across all teams, providers, and applications to identify optimization opportunities.
- AI usage audit
- Cost attribution analysis
- Architecture recommendation
Gateway Implementation
Deploy the orchestration layer as your unified AI control plane with consistent policies and cost tracking.
- Production gateway deployment
- Application integration
- Multi-provider connections
Routing & Optimization
Implement intelligent routing based on usage patterns with custom rules for your requirements.
- Routing rules by task complexity
- Cost optimization policies
- Performance benchmarks
Governance & Launch
Configure governance policies, budget controls, and dashboards. Training and launch.
- Budget caps and alerting
- Compliance policies and audit logging
- Executive dashboard
- Team training and runbook
Complete Orchestration Infrastructure
Everything you need to take control of your AI costs and operations—deployed, configured, and documented.
Production AI Gateway
Your unified entry point for all AI model access. Handles routing, load balancing, failover, and caching. Deployed in your infrastructure or managed cloud, depending on your requirements.
Intelligent Routing Engine
Rules and policies that automatically route requests to optimal models. Based on task analysis, cost targets, latency requirements, and custom criteria. Continuously optimized based on actual performance.
Cost Management System
Budget controls, usage tracking, and cost attribution down to the request level. Alerts before budgets are exceeded. Showback/chargeback reporting for internal accountability.
Governance Framework
Data handling policies, PII detection and masking, access controls, and audit logging. Meet compliance requirements while maintaining development velocity.
Observability Stack
Real-time dashboards, historical analytics, and anomaly detection. Integrated with your existing monitoring (Datadog, Grafana, etc.) or standalone.
Operational Runbook
Documentation covering routine operations, troubleshooting, optimization procedures, and escalation paths. Your team operates confidently from day one.
Where AI Orchestration Delivers Value
Real scenarios where intelligent orchestration transforms AI operations.
Measurable Impact, Not Vague Promises
Typical Cost Reduction
Through intelligent routing and model tiering
Days to Full ROI
Most clients break even within 8 weeks
AI Availability
With multi-provider failover architecture
"We cut our monthly AI spend from $80K to $35K while actually improving response quality for our users. The orchestration layer paid for itself in the first month."
Is This Right for You?
This Is For You If:
- Monthly AI spend exceeds $10K (or growing fast toward it)
- Multiple teams using AI with no centralized visibility
- Compliance requirements limit where data can be processed
- Single provider dependency keeps you up at night
- Finance is asking questions about AI costs you can't answer
- You're scaling AI features and worried about unit economics
This Might Not Be For You If:
- ✗AI spend under $5K/month (optimization ROI won't justify investment)
- ✗Single, simple AI use case with no growth plans
- ✗No compliance or data sensitivity requirements
- ✗Happy with current provider and no reliability concerns
Who Benefits from AI Orchestration
Different teams have different AI challenges. Here's how orchestration addresses each.
Startups & Scale-ups
"You're building AI-powered products and watching costs climb."
We implement orchestration that matches your stage. Start with cost tracking and basic routing. Add governance and advanced optimization as you scale. No enterprise complexity until you need it.
Product Engineering Teams
"You're responsible for AI features in your product. You need reliable model access, predictable costs, and flexibility to experiment."
We deploy orchestration that simplifies your work—one API for all models, automatic retries and fallbacks, and clear cost attribution per feature. Focus on building features, not managing AI infrastructure.
Enterprise IT & Platform Teams
"You're standardizing AI across the organization. You need governance that satisfies security and compliance while enabling business units to move fast."
We implement enterprise-grade orchestration with centralized control and distributed access. Consistent policies, audit trails, and visibility across all AI usage—without becoming a bottleneck.
Finance & Operations Leaders
"You see AI costs growing and want visibility and control. You need to understand where money goes and forecast future spend."
We deploy cost management that finance teams can actually use—dashboards showing spend by team, project, and feature. Budget controls that prevent surprises. Data that supports strategic AI investment decisions.
CTOs & Technical Leadership
"You're deciding between building internally, buying a platform, or engaging implementation support."
We help you skip 6-12 months of internal development while maintaining control. You get production-ready orchestration without platform lock-in, with knowledge transfer that ensures your team can operate and evolve the system.
Why Implementation Partners vs. DIY or Platforms
Three paths to AI orchestration. Here is how they compare.
Build Internally
Self-Service Platform
Implementation Partner
6-12 months to production
Days to weeks
4-6 weeks to production
2-4 dedicated engineers
Integration and configuration
Collaborative implementation with knowledge transfer
Opportunity cost, maintenance burden
Limited customization, platform dependency
Balanced—fast deployment with retained expertise
Organizations with AI platform teams and long time horizons
Standardized use cases with minimal governance requirements
Organizations wanting production quickly without ongoing dependency
Build Internally
6-12 months to production
2-4 dedicated engineers
Opportunity cost, maintenance burden
Organizations with AI platform teams and long time horizons
Self-Service Platform
Days to weeks
Integration and configuration
Limited customization, platform dependency
Standardized use cases with minimal governance requirements
Implementation Partner
4-6 weeks to production
Collaborative implementation with knowledge transfer
Balanced—fast deployment with retained expertise
Organizations wanting production quickly without ongoing dependency
When to Choose Implementation Support
Consider an implementation partner when you:
Frequently Asked Questions
Common questions about AI orchestration implementation.
Organizations typically see 30-50% reduction in LLM costs through intelligent routing alone. Additional savings come from caching (10-20% for repetitive requests) and elimination of redundant API calls. Actual savings depend on your current usage patterns—our discovery phase provides specific projections before you commit to implementation.
What Sets Our Approach Apart
Production-focused implementation that delivers results, not just architecture diagrams.
Production Focus
We don't do POCs that stall. Every engagement delivers production infrastructure you use the next week. Real cost savings, not theoretical projections.
Technology-Agnostic
We implement the right solution for your requirements—open source, commercial, hybrid. No platform to sell you, no vendor relationships driving our recommendations.
Knowledge Transfer
Your team operates the system after we leave. Complete documentation, training, and ongoing support options. No forced dependency.
Integration Reality
We work with your existing infrastructure—CI/CD, monitoring, security tools, identity systems. Not a rip-and-replace.
Cost Guarantee
We project cost savings based on your actual usage analysis. If orchestration doesn't deliver value, we work until it does.
Enterprise Depth
From startup to Fortune 500, we've deployed AI infrastructure that actually scales. Governance that satisfies auditors. Reliability that operations teams trust.
Investment & Engagement Options
Flexible engagement models to match your needs and timeline.
Architecture Assessment
2-3 weeks
Complete analysis of your current AI usage, costs, and architecture. Delivers specific recommendations and savings projections without commitment to implementation.
Includes:
- AI usage audit across applications and teams
- Cost analysis and attribution
- Architecture recommendations
- Implementation roadmap with projected savings
- Executive summary for leadership
Standard Orchestration
4-6 weeks
Full orchestration implementation for organizations with moderate AI usage (up to $50K/month in LLM spend) and straightforward architecture.
Includes:
- Everything in Assessment
- Production gateway deployment
- Intelligent routing configuration
- Cost management and alerting
- Team training and documentation
- 30 days post-launch support
Enterprise Orchestration
6-10 weeks
Comprehensive orchestration for complex enterprise environments with multiple business units, significant AI spend, and advanced governance requirements.
Includes:
- Everything in Standard
- Multi-environment deployment (dev/staging/prod)
- Enterprise governance and compliance configuration
- Integration with existing identity and monitoring
- Advanced routing optimization
- Extended training and documentation
- 90 days post-launch support
AI orchestration typically delivers ROI within 3-6 months through 30-50% reduction in LLM API costs, elimination of shadow AI spend, reduced engineering time on AI infrastructure, and avoided compliance incidents.
Ready to Take Control of Your AI Operations?
AI Operations Assessment
2-week deep dive into your current AI usage, costs, and optimization opportunities. Includes ROI projection and implementation roadmap.
Architecture Review
60-minute consultation to discuss your AI infrastructure, challenges, and how orchestration could help. No commitment required.
Not ready to talk? Download our guide: "The Enterprise Guide to AI Cost Optimization" [coming soon]
At a Glance
AI Orchestration Impact: Cost & Performance
Industry Deployment Patterns
How different industries deploy AI orchestration for multi-agent coordination and cost optimization.
Finance
Multi-agent fraud detection with real-time coordination
Global bank deployed 8-agent fraud detection system: transaction_analyzer → risk_scorer → KYC_validator → document_verifier → decision_engine. Orchestration reduced false positives by 41% via intelligent model routing (Llama for fast scoring, GPT-5 for complex case review) and cut per-transaction cost from $0.18 to $0.04. Audit log provides full trace for regulatory compliance (FINRA, FinCEN).
Healthcare
Clinical workflow automation with HIPAA-compliant orchestration
Healthcare system automated prior authorization with 5-agent workflow: intake_bot → clinical_reviewer → policy_checker → approval_engine → notification_sender. Orchestration enforced PII redaction, provided HIPAA audit trails, and reduced authorization time from 4.2 days to 6 hours. On-prem deployment with SSO integration for 1,200 clinicians.
Manufacturing
Supply chain optimization with agentic planning
Manufacturer deployed 6-agent supply chain planner: demand_forecaster → inventory_optimizer → supplier_coordinator → logistics_router → risk_assessor → decision_reporter. Orchestration reduced planning cycle from 3 days to 4 hours, cut expedited shipping by 38%, and provided real-time visibility into agent decision logic for executive reporting.
AI Platform Orchestration Outcomes
See the math →- •Orchestration graph with retries, timeouts, circuit breakers, and backoff logic for multi-agent coordination
- •Multi-model routing engine with cost/latency policies, automatic fallbacks, and budget enforcement
- •Central run log with PII redaction, prompt versioning, actor tracing, and compliance-ready audit trails
- •Guardrails blocking unsafe actions (jailbreak, toxicity, groundedness) with eval suite passing agreed thresholds
- •Observability stack with traces, metrics, and alerting for latency spikes, cost anomalies, and error rates
- •SSO/SAML integration, role-based access control (RBAC), and secrets management for secure enterprise deployment
What You Get (Acceptance Criteria)
Our standards →Timeline
3-5 weeks
Team
architect, MLE, platform eng, QA
Inputs We Need
- •Agent/tool inventory with dependencies and call graph (e.g., fraud_detector → KYC_agent → document_parser)
- •Model providers and cost/latency constraints (e.g., GPT-5 for complex reasoning, Llama for high-volume classification)
- •Safety policies and risk tolerance (jailbreak detection, toxicity thresholds, groundedness checks, PII redaction rules)
- •Audit and compliance requirements (SOC 2, HIPAA, FedRAMP, GDPR; data residency, retention policies)
- •Target SLAs (p95 latency <2s, success rate >99%, budget cap $X/month, uptime 99.9%)
Tech & Deployment
LangGraph/Temporal/Argo for orchestration; multi-model routing (OpenAI GPT-5/4, Anthropic Claude, Google Gemini, Llama/Mistral); vector stores (Pinecone, Weaviate, pgvector); observability (Datadog/Grafana, OpenTelemetry); on-prem/GovCloud deployment; SSO/SAML (Okta, Auth0); secrets management (Vault, AWS Secrets Manager)
Proof We Show
Full evidence list →Frequently Asked Questions
Need More Capabilities?
Explore related services that complement this offering.
Related Services
Related Products
Popular Industries
Ready to Get Started?
Book a free 30-minute scoping call with a solution architect.
Procurement team? Visit Trust Center →