Generative AI Consulting Strategy Through Deployment
Full-lifecycle generative AI consulting from use case identification through production deployment. Backed by 24 years of cybersecurity expertise that most AI consultancies lack entirely. Production in 8-14 weeks, not 6-12 months.
PTG vs. Big 4 vs. Freelancers
Strategy plus implementation plus security in one firm.
PTG Advantage
- 8-14 weeks to production, not 6-12 months
- Strategy through deployment with one firm, one relationship
- CMMC RP with 24 years of cybersecurity and zero-breach record
- Own GPU clusters with fixed-cost hosting available
Traditional Alternatives
- Big 4: strategy only, 6-12 months, implementation subcontracted
- Security is a separate team at additional cost with misaligned timelines
- $300-600/hour with scope creep as the business model
- Junior associates following playbooks with quarterly partner visits
Generative AI Consulting Services
End-to-end: from identifying the right use case to monitoring in production.
Use Case Identification
Structured discovery sessions to map workflows and prioritize use cases by ROI, data readiness, complexity, and compliance risk.
Proof of Concept
Working proof of concept implementations in 2-4 weeks on your actual data, not slide decks with mockups.
Model Selection and Architecture
Evaluate commercial APIs, open-weight models, and private deployments against your data sensitivity and cost constraints.
Fine-Tuning and Customization
Fine-tune models on your proprietary data for domain-specific accuracy that generic platforms cannot match.
Production Deployment
API development, load balancing, monitoring, and CI/CD pipelines. Deploy on our GPU hosting or on-premise.
Ongoing Monitoring
Continuous output quality, latency, cost, and security monitoring with scheduled retraining and performance dashboards.
Industries We Serve
Frequently Asked Questions
What is generative AI consulting vs. general AI consulting?
Generative AI consulting focuses on systems that create new content: LLMs, code assistants, and multimodal AI. It introduces unique risks like hallucination and prompt injection that require specialized expertise. PTG provides both with particular depth in security.
Should we use a commercial API or deploy a private model?
If you process PHI, CUI, or trade secrets, a private deployment is the only defensible choice. At 10,000+ queries per day, private infrastructure is typically 50-70% cheaper than API pricing.
How do you prevent inaccurate outputs?
Multi-layer approach: model selection for factual grounding, RAG implementation with verified sources, fine-tuning for domain boundaries, output validation, and human-in-the-loop workflows for high-stakes outputs.
What does a typical project cost?
$15,000 for a focused proof of concept through $200,000+ for enterprise-wide deployments. Most mid-market organizations invest $40,000 to $80,000 for their first production system. Initial consultation is free.
Can generative AI be used in HIPAA-regulated environments?
Yes, with private infrastructure, encryption, access controls, PHI detection, and network segmentation. Most commercial APIs are not HIPAA-appropriate. We execute BAAs for all hosted deployments. See our HIPAA compliance practice.
Explore Our AI Solutions
Start Your Generative AI Project With the Right Partner
From initial strategy through production deployment, backed by 24 years of cybersecurity expertise and a zero-breach track record across 2,500+ clients.