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AI production readiness is the process of turning an AI prototype into a secure, reliable production system. I deliver HA/DR architecture, monitoring, cost controls, compliance alignment, and clear timelines so you can launch with confidence.

AI Production Readiness

From AI Prototype to Production Reality

Your AI works in demos but fails in production. I bridge that critical gap with proven infrastructure, security, scaling, and compliance frameworks. Transform your prototype into a production-ready system.

90%
Faster Deployment
60%
Cost Reduction
99.9%
Uptime Achievable

Metrics are based on past cloud and AI projects; results vary by environment, scope, and responsiveness.

AWS SA Pro
AWS Pro
CISSP
CISSP
15+ Years Production Experience
🚀

Your AI Production Journey

From prototype to production-ready system

1
Free Assessment
Evaluate production readiness
2
Production Deployment
Infrastructure & monitoring setup
3
Enterprise Optimization
Scale, compliance, cost optimization

Why Do AI Prototypes Fail in Production?

The gap between working demos and production systems is where most AI projects fail. Here's why, and how to bridge it.

Infrastructure Scaling

Demo environments handle toy datasets. Production needs auto-scaling infrastructure, load balancing, and performance optimization for real-world usage patterns.

Security & Compliance

Prototypes ignore security. Production requires encryption, access controls, audit logging, and compliance frameworks (SOC 2, HIPAA, etc.).

Cost Management

Unoptimized AI infrastructure costs 3-5x more than necessary. Production needs cost monitoring, rightsizing, and optimization strategies.

Your AI Production Readiness Process

A systematic approach to transforming prototypes into production-ready systems

1

Discovery & Assessment

Comprehensive evaluation of your AI prototype, infrastructure, and production requirements.

2

Infrastructure Architecture

Design scalable, secure cloud infrastructure with auto-scaling, monitoring, and CI/CD pipelines.

3

Security Implementation

Implement security controls, compliance frameworks, and access management for production AI.

4

Optimization & Scaling

Performance tuning, cost optimization, and enterprise scaling for production workloads.

Choose Your AI Production Path

Three proven packages designed for different stages of your AI production journey

Starting Point

Assessment

$5,000
1 week delivery
  • Detailed technical assessment report
  • Production readiness gap analysis
  • Cost estimates and implementation roadmap
Start Assessment
Most Popular
Core Service

Deployment Sprint

$15,000
4 weeks delivery • Success guaranteed
  • Complete production infrastructure setup
  • CI/CD pipelines for AI model deployment
  • Security controls and compliance implementation
  • Monitoring, logging, and handover documentation
Start Deployment
Enterprise Service

Optimization

$25,000
8 weeks delivery • Enterprise scale
  • Performance optimization and auto-scaling
  • Advanced monitoring and observability
  • Compliance frameworks (SOC 2, ISO 27001)
  • Cost optimization and team training
Scale to Enterprise
Success Guarantee

If your AI system is not successfully deployed to production within the agreed timeline, you pay nothing additional beyond the assessment fee.

AI Production Success Stories

Real results from transforming AI prototypes into production systems

90%
Faster Time to Production
Average across client projects
60%
Infrastructure Cost Reduction
Through optimization and rightsizing
99.9%
Uptime Achievement
Production system reliability

Frequently Asked Questions

Answers to common questions about AI production readiness

What makes AI production different from regular software deployment?

AI systems require specialized infrastructure for model serving, specialized monitoring for model performance drift, unique security considerations for data protection, and compliance frameworks specific to automated decision-making systems.

How long does AI production readiness typically take?

Assessment is completed within 1 week, basic production deployment typically takes 4 weeks, and enterprise optimization generally takes 8 weeks. Timelines may vary based on your current AI maturity, infrastructure complexity, and responsiveness to feedback.

What's the ROI of investing in AI production readiness?

Many clients achieve significant ROI through AI production readiness, with typical benefits including 40-60% infrastructure cost savings, improved system reliability, faster time-to-market for new features, and avoided costly production failures. Results vary based on specific implementation and market conditions.

Using Claude or ChatGPT generated code? See the AI Code Security service for guardrails, logging, and compliance evidence.

Ready to Transform Your AI Prototype?

Start with a free 30-minute discovery call. Get an AI production readiness assessment and a custom roadmap for success.

Book Free Strategy Call