C-suite advisory
Fractional CTO, CAIO, CSO, CFO, and CDO leadership for high-stakes AI decisions — without a permanent hire.
Multi-decades of engineering, product, leadership, and services experience.
Enterprise AI Strategy Architecture Forward Deployment
Turn enterprise AI into operating advantage.
From boardroom strategy to production systems.
Pylon AI partners with C-suite and technical leaders to design, deploy, and govern AI that scales — connecting architecture, agentic workflows, inference economics, and measurable business outcomes across the enterprise.
AI measurement from day-0
Adoption, quality, risk, token usage, cost-per-work-unit, and business value attribution built in from the start.
Choose the right models and frameworks for each business process.
Forward deployment
Senior architects and builders embedded with your team until outcomes are real and documented.
Generative and agentic AI adoption across Fortune 500 enterprises.
Economic control
Observability, ROI measurement, and cost-per-work-unit governance built into every engagement.
From strategy through delivery, tied to measurable business outcomes.
40%+
average reduction in
inference spend
3x
ROI potential across cost savings,
automation, and revenue influence
Built by serial entrepreneurs and operators with deep backgrounds in enterprise technology, product, GTM, inference optimization, and Fortune 100 consulting.
What Pylon AI does
A complete enterprise AI capability — not disconnected projects.
Most enterprises have the budget and leadership intent. What they lack is a repeatable operating model that connects executive priorities, architecture, security, economics, delivery, and adoption measurement.
AI Strategy & Executive Advisory
We work with CEOs, CIOs, CTOs, CAIOs, Chief Security Officers, CFOs, and CDOs to align AI investment, operating model, security posture, governance, economics, and sequencing with business outcomes. Fractional CXO engagements give you senior judgment before a permanent hire is justified.
Explore strategy services →Architecture & Engineering
We design and build agentic AI systems, multi-model inference platforms, enterprise copilots, and data pipelines that are secure, observable, and economically governed. Vendor-neutral across OpenAI, Anthropic, Gemini, Bedrock, and open models.
Explore architecture services →Forward-Deployed Delivery
We embed senior engineers and architects directly with your teams to move from prototype to production with accountability for real outcomes. We own the delivery, not just the recommendation deck.
Explore delivery services → Executive problems we solve
The hard part is no longer access to models. It is making AI work inside the enterprise.
“We need an AI roadmap the board will fund.”
We turn scattered ideas into an investment case, operating model, executive narrative, and sequenced roadmap tied to measurable business outcomes.
“Security is blocking our AI rollout.”
We design secure-by-default AI architecture, threat models, controls, review evidence, and incident readiness so adoption can move without bypassing risk.
“Token usage is growing, but outcomes are unclear.”
We build usage economics, cost attribution, ROI models, and board-grade reporting so rising AI spend maps to business value, not just activity.
“We need production, not another pilot.”
We combine architecture and forward-deployed engineering to build, integrate, test, deploy, and transfer AI systems your teams can operate.
“We have AI tools everywhere, but no investment discipline.”
We create portfolio governance, use-case scoring, adoption tracking, and prioritization so leaders know what to scale, pause, or retire.
“The board is asking AI questions no one owns.”
Fractional CAIO, CTO, CSO, CFO, and CDO support gives you executive ownership while the permanent AI function matures.
How we engage
From strategy to AI that drives business growth.
Every Pylon AI engagement is structured to reduce risk, build internal capability, and deliver systems the enterprise owns and operates independently. We are not here to create dependency — we are here to create competency.
Start with a discovery call1
Identify
Map the AI landscape, business processes, data readiness, and use cases with real operating pull.
2
Fund
Build the investment case, expected ROI, cost model, and executive sponsorship needed to proceed.
3
Secure
Define controls for data boundaries, identity, agent permissions, review evidence, and auditability.
4
Build
Embed with your team to build, integrate, evaluate, document, and launch production systems.
5
Measure
Track adoption, quality, risk, token usage, cost-per-work-unit, time saved, and business value.
6
Scale
Transfer ownership, standardize patterns, prioritize the next wave, and mature the permanent function.
Technology depth
Deep expertise across the entire enterprise AI ecosystem.
We operate vendor-neutral — no reseller agreements, no preferred partner kickbacks. We recommend what is right for your use case, latency requirements, cost envelope, and risk posture.
Foundation Models
OpenAI Anthropic Gemini Llama Mistral Cohere Groq
Cloud & Model Platforms
Bedrock Azure OpenAI Vertex AI OpenAI API SageMaker Google Cloud AI
Agent Frameworks
LangChain LangGraph CrewAI AutoGen MCP Semantic Kernel OpenAI Agents
Data & Retrieval
Snowflake Databricks Pinecone Weaviate pgvector Redis MongoDB
Inference Infrastructure
vLLM Hugging Face Quantization Routing NVIDIA Triton
Observability & Governance
LangSmith Arize AI Helicone W&B Evals MLflow Guardrails
Who we serve
Built for leaders accountable for outcomes — not experiments.
For the CEO
Competitive advantage, not hype
We help you identify where AI creates durable advantage, what to fund and what to defer, and how to tell the board a story grounded in measurable outcomes — not pilot counts.
For the CIO / CTO
Architecture that scales
We design AI systems that integrate with your existing stack, pass security review, survive scale, and remain operable by your engineering team after we leave.
For the CAIO
Operationalize the portfolio
We help AI leaders build the operating model, governance framework, evaluation infrastructure, and economic measurement system that turns initiatives into a managed capability.
For Business Leaders
Workflow-level outcomes
We translate AI capability into operational impact — cost reduction, time savings, quality improvement, and revenue generation — with measurement for each use case.
Use cases
All use cases →Where AI becomes operating leverage.
Customer Support AI
Deflection, assist, quality, escalation, and knowledge-grounded service operations.
Knowledge Assistants
Trusted retrieval and synthesis across enterprise content, policies, and workflows.
Document Intelligence
Extraction, classification, summarization, and decision support at scale.
Sales & RevOps AI
Account research, CRM workflows, proposals, and pipeline operations.
Developer Productivity
Code assistance, documentation, testing, and engineering workflow acceleration.
Operations Automation
Finance, procurement, HR, compliance, and cross-functional workflow execution.
Industries
All industries →Deep expertise, applied to your operating reality.
Financial Services
Risk, fraud, compliance automation, and AI-powered client advisory.
Healthcare & Life Sciences
Clinical documentation, prior authorization, research acceleration, and care pathways.
Retail & eCommerce
Personalization, demand forecasting, customer support, and merchandising intelligence.
Software & SaaS
AI product features, developer systems, assistants, and workflow automation.
Manufacturing
Predictive maintenance, quality control, supply chain intelligence, and operations AI.
Telecom & Media
Network operations, churn prediction, content intelligence, and customer experience.
Why Pylon AI
Senior judgment. Vendor neutrality. Delivery ownership.
Boardroom to runtime
The same team advises the C-suite on AI strategy and reviews the inference runtime for latency, cost, and correctness. Few partners can work credibly at both layers; that is where Pylon AI is built to operate.
No vendor allegiance
We have no reseller agreements with OpenAI, Anthropic, Google, or AWS. Our recommendation is the right tool for your situation — not the one that earns us a commission.
Outcomes, not deliverables
We measure success by production deployments, cost reduction, throughput improvement, and ROI — not slide decks submitted or hours billed.
Knowledge transfer by design
Every engagement is structured to leave your team more capable. We build internal champions and document everything — so you never depend on us to operate what we built.
Economic discipline
AI spend without measurement is waste. We build cost attribution, observability, and ROI frameworks into every system — so the CFO can see the return on the AI investment line by line.
Fractional flexibility
From a single advisory engagement to an embedded delivery pod, we flex to your budget and timeline. You get senior expertise at a fraction of the cost of building the same capability internally.
Build the AI operating model your enterprise can defend, scale, and measure.
Whether you need an executive AI roadmap, a production architecture, or a forward-deployed team to ship the system — Pylon AI helps you move with speed and control.