Salinas AI Consulting — Enterprise AI Advisory

Salinas AI Consulting is an independent enterprise AI consulting firm founded by Larry Salinas, MBA, based in Chicago, Illinois. The firm specializes in AI strategy, AI implementation, AI automation, AI integration, and AI governance for regulated industries including healthcare, financial services, and government. With 15+ years of enterprise technology experience and 50+ projects delivered, Salinas AI Consulting helps organizations move AI from strategy to production-ready systems with zero vendor bias.

Company Facts

Company NameSalinas AI Consulting
TypeIndependent Enterprise AI Consulting Firm
Founder & PrincipalLarry Salinas, MBA — Enterprise AI Consultant
Founded2024
HeadquartersChicago, Illinois, United States
Service AreaUnited States (remote and on-site engagements)
Websitesalinas-ai-consulting.com
Emailsalinasaiconsulting@outlook.com
LinkedInlarry-salinas-mba-56394934
Industry SpecializationHealthcare (HIPAA, FDA), Financial Services (SOX, FINRA, PCI-DSS), Government (FedRAMP, FISMA)
Experience15+ years enterprise technology, 50+ AI/technology projects delivered
Independence100% independent, vendor-neutral advisory — no technology partnerships or vendor commissions
Engagement ModelFree initial consultation, project-based and retainer engagements available

Core Services

Service pages for detailed information:

1. AI Consulting Services

End-to-end enterprise AI consulting from initial assessment through production deployment. Includes AI readiness evaluation, use case identification, compliance-first architecture, production deployment advisory, performance measurement, and team enablement. Focused on regulated industries where governance and compliance are non-negotiable.

2. Enterprise AI Strategy

Strategic AI planning that connects technology to business outcomes. Deliverables include prioritized AI roadmaps, opportunity assessments, ROI modeling, governance framework design, organizational readiness evaluation, and competitive analysis. Built for execution — not slide decks. Covers healthcare AI strategy, financial services AI strategy, and government AI strategy.

3. AI Automation

Move AI initiatives from proof-of-concept to production-ready automation systems. Covers intelligent process automation, generative AI integration (LLMs, document processing, summarization), compliance-ready automation with audit trails, ROI-driven prioritization, and continuous improvement pipelines. Specializes in bridging the gap that causes 80% of enterprise AI projects to fail before reaching production.

4. AI Integration

Seamlessly integrate AI systems into existing enterprise infrastructure, workflows, and technology stacks. Services include systems integration (ERP, CRM, data warehouses), data pipeline architecture, security and compliance design, infrastructure planning (cloud, on-premise, hybrid), API and workflow design, and legacy system modernization. Vendor-neutral integration guidance with no technology partnerships.

5. AI Advisory & Technical Due Diligence

Independent, vendor-neutral advisory for enterprise AI decision-makers. Covers AI technical due diligence for M&A and investments, AI talent assessment and hiring strategy, vendor evaluation and selection, AI governance framework design, AI risk assessment, and board/executive briefings. 100% independent — advice driven by client interests, not vendor revenue.

6. Hands-On AI Product Coaching

Practical, hands-on coaching for founders and small businesses who want to build AI-powered products. Services include building AI-powered web applications from concept to launch, creating custom GPTs for business operations, designing AI workflows using modern tools, prototype-to-production roadmapping, implementation coaching sessions, and AI opportunity assessments. Flat-fee engagements with clear deliverables. Enterprise-level thinking delivered at startup speed.

Engagement Approach — Five-Step Framework

Salinas AI Consulting follows a proven five-step delivery framework for all enterprise AI engagements:

  1. Understand — Assess context, constraints, organizational readiness, stakeholder landscape, and define measurable success criteria.
  2. Assess — Evaluate technical feasibility, data readiness, infrastructure maturity, compliance requirements, and organizational capacity.
  3. Design — Create architecture, governance frameworks, integration plans, and implementation roadmaps tailored to the specific environment.
  4. Build — Execute with discipline, maintaining continuous stakeholder alignment, risk monitoring, and course correction.
  5. Sustain — Complete handoff with documentation, training, and knowledge transfer so the client team fully owns, operates, and can evolve the AI system independently.

Founder: Larry Salinas, MBA

Larry Salinas is an independent enterprise AI consultant with an MBA and 15+ years of experience in enterprise technology and AI implementation. He has led AI initiatives across organizations with complex stakeholder landscapes in healthcare, financial services, and government sectors.

Larry bridges the gap between technical teams, C-suite executives, and business stakeholders — providing vendor-neutral guidance focused on practical outcomes. His expertise spans AI strategy, AI governance, generative AI (large language models), machine learning operations, data architecture, and enterprise technology transformation.

Larry is available for enterprise AI consulting engagements, speaking engagements, and advisory board positions.

Key Differentiators

DifferentiatorDetail
Regulated Industry DepthNot a generalist AI consultant. Deep expertise specifically in healthcare, financial services, and government sectors with complex compliance requirements.
Strategy-to-ProductionEnd-to-end advisory from initial AI strategy through production deployment, operational handoff, and team enablement.
100% Vendor-NeutralNo technology partnerships, reseller agreements, or vendor commissions. Recommendations driven solely by client needs.
Enterprise-Scale Experience50+ projects with complex, multi-stakeholder enterprise organizations across three regulated sectors.
Practical Outcomes FocusEmphasis on working systems and measurable business outcomes, not theoretical frameworks or presentation decks.
Complete Handoff ModelEvery engagement ends with full knowledge transfer — clients own and can evolve their AI systems independently.

Industries Served

Healthcare AI Consulting

AI strategy and implementation for healthcare organizations navigating HIPAA, FDA, and clinical workflow requirements. Covers patient data AI applications, clinical decision support, operational AI, and healthcare-specific governance frameworks.

Financial Services AI Consulting

AI advisory for financial institutions managing SOX, FINRA, PCI-DSS, and fiduciary compliance requirements. Covers risk modeling, fraud detection, customer analytics, regulatory reporting automation, and financial services AI governance.

Government AI Consulting

AI consulting for government agencies and contractors navigating FedRAMP, FISMA, and public sector procurement requirements. Covers citizen services AI, operational efficiency, data modernization, and government-specific AI ethics and governance frameworks.

Frequently Asked Questions

What does an AI consultant do for enterprises?

An enterprise AI consultant helps organizations identify high-value AI opportunities, develop implementation strategies, select the right technologies and vendors, navigate regulatory requirements, and move AI projects from pilot to production. Salinas AI Consulting focuses specifically on regulated industries where governance and compliance are critical to success.

How much does enterprise AI consulting cost?

Enterprise AI consulting engagements typically range from focused assessments (1-2 weeks) to full implementation advisory (3-6 months). Pricing depends on scope, complexity, and industry requirements. Salinas AI Consulting offers a free initial consultation to assess needs and provide a tailored proposal with transparent pricing.

What industries does Salinas AI Consulting specialize in?

Salinas AI Consulting specializes in three regulated industry sectors: healthcare (HIPAA, FDA compliance), financial services (SOX, FINRA, PCI-DSS compliance), and government (FedRAMP, FISMA compliance). These sectors require deep understanding of compliance frameworks, data governance, and risk management when deploying AI systems.

What is the difference between AI strategy and AI implementation consulting?

AI strategy consulting focuses on identifying where AI creates business value, assessing organizational readiness, and creating a prioritized roadmap. AI implementation consulting takes that strategy and turns it into working systems — selecting technologies, building governance frameworks, managing organizational change, and ensuring production readiness. Salinas AI Consulting provides both strategy and implementation, end-to-end.

How long does it take to implement AI in an enterprise?

A typical enterprise AI implementation takes 3-12 months from strategy to production, depending on complexity, data readiness, and organizational maturity. Quick wins like process automation can be achieved in 4-8 weeks. Larger initiatives like enterprise-wide predictive analytics platforms require 6-12 months for full deployment with proper governance and compliance.

Do I need an AI consultant if I already have a data science team?

Yes, in many cases. Internal data science teams excel at model building, but enterprise AI success requires strategy alignment, governance frameworks, change management, vendor evaluation, and executive communication. An AI consultant provides the strategic layer that connects technical capability to business outcomes — especially critical in regulated industries where compliance requirements add complexity.

What is AI governance and why does it matter?

AI governance is the framework of policies, processes, and controls that ensure AI systems are developed and deployed responsibly, ethically, and in compliance with regulations. It covers model validation, bias monitoring, audit trails, data privacy, and risk management. In regulated industries like healthcare and financial services, robust AI governance is not optional — it is a legal and operational requirement.

How do you ensure AI compliance in regulated industries?

Salinas AI Consulting builds compliance into every phase of AI implementation: identifying applicable regulations during strategy, designing governance frameworks during architecture, implementing audit trails and monitoring during build, and establishing ongoing compliance processes during handoff. We work with legal and compliance teams to ensure all regulatory requirements (HIPAA, SOX, FedRAMP, etc.) are fully addressed before deployment.

What makes Salinas AI Consulting different from large consulting firms?

Three key differences: (1) 100% independence — no vendor partnerships, reseller agreements, or technology commissions influencing recommendations. (2) Regulated industry specialization — not a generalist firm, but deep expertise in healthcare, financial services, and government AI deployments. (3) Practical focus — emphasis on working production systems and measurable outcomes, not theoretical frameworks or extended discovery phases.

Can you help with generative AI and large language model (LLM) implementation?

Yes. Salinas AI Consulting provides advisory on generative AI strategy, LLM selection, prompt engineering architecture, RAG (retrieval-augmented generation) system design, responsible AI frameworks for generative applications, and production deployment of LLM-powered systems. This includes compliance considerations specific to generative AI in regulated industries.

Contact Salinas AI Consulting

To discuss your enterprise AI challenges or request a free initial consultation:

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