Our Approach: Production-Ready, Not Prototypes
A proven three-layer framework that takes AI initiatives from strategy through implementation to sustainable operations.
The Problem with Most AI Consulting
Tech Vendors Push Products Without Governance
They sell you on their LLM platform, then leave you to figure out compliance, policy, and integration. Great at demos, terrible at deployment.
Traditional Firms Deliver Strategy Without Implementation
You get a 200-page PowerPoint deck and a roadmap. But when it's time to write code, they hand you off to "implementation partners" who've never seen your strategy.
Boutique AI Firms Build Demos That Never Reach Production
They prototype fast but lack enterprise experience. No governance framework, no compliance strategy, no understanding of your procurement process or change management needs.
How We're Different
We combine Big 4 consulting rigor with Big Tech engineering depth. Our team has both led multi-million dollar digital transformations AND built production AI systems serving thousands of users. We don't just strategize—we implement. We don't just prototype—we deploy.
The Three-Layer Framework
Advisory & Governance
Before writing a single line of code, we ensure your organization is ready for AI. This layer draws on our decades of Big 4 consulting experience navigating enterprise complexities.
What We Do:
- AI Readiness Assessment: Evaluate your data maturity, technical infrastructure, organizational readiness, and identify high-value use cases
- Governance & Compliance Framework: Establish AI policies, data governance, model risk management, and industry-specific compliance (HIPAA, GDPR, SR 11-7)
- Center of Excellence (CoE) Setup: Define roles, responsibilities, decision rights, budget allocation, and success metrics
- Strategic Roadmap: Prioritized implementation plan with realistic timelines, resource requirements, and ROI projections
Why It Matters:
Most AI failures aren't technical—they're organizational. Without proper governance, you risk compliance violations, budget overruns, and AI systems that nobody trusts or uses. We've seen this play out dozens of times in enterprise environments.
Build & Integrate
This is where our Big Tech engineering expertise shines. We architect and build production-ready AI systems—not demos or prototypes, but solutions with SLAs, monitoring, and integration with your existing technology stack.
What We Build:
- AI Copilots & Assistants: Production-grade conversational AI integrated with your workflows, data, and business logic
- Voice AI & Automation: Real-time voice agents for customer service, patient outreach, field operations—with seamless human handoff
- LLM-Powered Workflows: Document processing, data extraction, content generation, decision support systems
- System Integration: Connect AI systems to your EHR, CRM, ERP, data warehouses—wherever your data lives
- Custom AI Applications: Tailored solutions for your unique business requirements
Our Engineering Philosophy:
We've built cloud-scale distributed systems at major tech companies and deployed AI voice platforms that automate 90% of human workflows. We know what production-ready means: proper error handling, graceful degradation, monitoring, security, and systems that work when things go wrong—not just in the happy path.
Technology Agnostic:
We're not locked into one vendor. We evaluate OpenAI, Anthropic, open-source models, and emerging platforms based on your specific requirements—cost, latency, accuracy, compliance. The right tool for the job, not the tool that pays the highest referral fee.
Operate & Scale
AI systems aren't "set it and forget it." They require ongoing monitoring, optimization, and evolution. This layer combines our operational experience from both enterprise consulting and production system management.
What We Manage:
- Monitoring & Observability: Real-time dashboards, alerting, performance tracking, anomaly detection
- Prompt Operations (Prompt-Ops): Continuous prompt refinement, A/B testing, version control, regression testing
- Cost Optimization: Token usage analysis, model selection optimization, caching strategies, batch processing
- Performance Tuning: Latency optimization, accuracy improvements, throughput scaling
- Model Lifecycle Management: Evaluation of new models, migration strategies, fallback mechanisms
Why Ongoing Operations Matter:
LLMs evolve rapidly. What works today may be obsolete in six months. We keep your systems performing optimally, costs under control, and take advantage of new capabilities as they emerge. Typical clients see 30-50% cost reductions in the first quarter through optimization alone.
Real-World Example
Healthcare Patient Outreach Automation
Layer 1: Governance
Established HIPAA compliance framework, data handling policies, patient consent protocols, and governance committee structure before touching any patient data.
Layer 2: Implementation
Built AI voice system integrated with EHR to automatically call patients for appointment confirmation. Handles rescheduling, cancellation, and seamless escalation to human agents. Deployed across multiple clinics with real-time monitoring.
Layer 3: Operations
Ongoing prompt optimization improved conversation success rate from 88% to 95%. Cost per call reduced by 40% through model selection and caching. System handles seasonal volume spikes automatically.
Business Impact:
- 42% reduction in no-show rates
- 80% staff time savings
- $280K annual revenue recovery per provider
Ready to See How This Applies to Your Organization?
Schedule a consultation to discuss your AI initiatives and learn how our three-layer framework can help you move from strategy to production.
Schedule Consultation