AI Strategy & Architecture
From proof-of-concept to production-grade AI systems. We design LLM integrations, RAG pipelines, and ML ops infrastructure tailored to your business objectives — built to scale and auditable by design.
pi-LAS designs and delivers data-driven AI systems and cloud infrastructure for healthcare, financial, and e-commerce organizations — backed by two decades of government and enterprise consulting.
What We Do
From strategy through delivery — we bring deep technical expertise and security-first engineering to every engagement.
From proof-of-concept to production-grade AI systems. We design LLM integrations, RAG pipelines, and ML ops infrastructure tailored to your business objectives — built to scale and auditable by design.
Architecture, migration, and optimization across AWS, Azure, and GCP. We design multi-region, high-availability infrastructure with security controls baked in from day one, not bolted on after.
End-to-end data pipelines, warehousing, and real-time analytics platforms. We turn raw operational data into structured assets that power AI models, executive dashboards, and regulatory reporting.
Custom model fine-tuning, inference optimization, and production deployment. We evaluate build vs. buy, select the right model architecture, and deliver systems that perform reliably under enterprise load.
CISSP-led security architecture for regulated industries. Zero-trust network design, threat modeling, HIPAA and PCI-DSS compliance frameworks, and security audits that satisfy regulators and protect your customers.
Legacy system migration, microservices decomposition, and DevOps transformation. We reduce operational toil and technical debt while maintaining continuity — no big-bang rewrites, no disruption to your business.
Sectors We Serve
Our consulting principals have operated at the intersection of technology and regulation across the industries where the stakes are highest.
HIPAA-compliant AI systems, clinical decision support, EHR integration, and predictive analytics for patient outcomes. We understand the regulatory landscape and the cost of getting it wrong.
Fraud detection models, credit risk scoring, algorithmic compliance, and real-time transaction intelligence. Built to meet PCI-DSS, SOX, and Basel requirements without sacrificing performance.
Personalization engines, demand forecasting, inventory optimization, and customer lifetime value modeling. AI that drives measurable revenue lift — not just impressive demos.
Why pi-LAS
Every engagement is led by a practitioner who has shipped real systems in regulated environments — not a generalist project manager.
CISSP-certified principal with hands-on experience architecting zero-trust networks, conducting threat modeling, and implementing security programs for Fortune 500 and government agencies.
Consulting engagements spanning state and federal agencies, with clearance-level understanding of data classification, access controls, and audit requirements.
Direct delivery experience in HIPAA-covered healthcare systems, PCI-DSS financial environments, and high-availability e-commerce platforms processing millions of transactions.
Production ML systems built and deployed — not just advised on. From feature engineering through inference optimization, with an emphasis on explainability and compliance in regulated contexts.
How We Engage
No black boxes. No runaway scope. Every engagement follows a transparent process designed to deliver value at each stage.
We begin with a structured assessment of your business objectives, existing systems, data assets, and constraints. No assumptions — we learn your environment before proposing solutions.
We design a scalable, secure, and maintainable solution architecture. Every design decision is documented with trade-offs and justified against your specific requirements and risk profile.
Implementation with security-first engineering practices. Code reviews, threat modeling, and compliance validation are part of every sprint — not a final checklist.
Post-delivery monitoring, performance optimization, and team enablement. We transfer knowledge intentionally so your team owns the system, not just the output.
Let's talk about your project. We'll tell you quickly whether we're the right fit — and if we are, we'll get to work.
Typical response within one business day · No sales calls, no pressure