Enterprise agentic AI —
from strategy to production.
SAN Data Systems helps organizations deploy frontier AI — Claude is our preferred model — across cloud infrastructure, application modernization, and agentic workflows. From proof of concept to production-grade deployment, we get you there faster.
Most organizations are still stuck in pilot mode.
Claude is the only frontier AI model available across AWS Bedrock, Google Cloud Vertex AI, and Microsoft Azure — making it the most cloud-portable enterprise AI foundation on the market today. But the gap between "we're piloting AI" and "AI is driving measurable outcomes in production" is still the hardest part.
Industry research shows roughly 68% of enterprises remain stuck in exploration or pilot phases with agentic AI. Closing that gap takes practitioner-level expertise in cloud architecture, security, integration, and workflow redesign — not a slide deck.
That's where we come in. We bring deep, hands-on expertise in cloud infrastructure, Kubernetes, DevOps, and enterprise application modernization — the exact foundation required to deploy agentic AI at scale. We don't just advise. We build, configure, integrate, and ship.
Eight capabilities. One operating model.
End-to-end engagements or à-la-carte. We start where you are and scale into production at the pace your business actually moves.
Enterprise AI Strategy & Readiness Assessment
Not sure where AI fits in your organization? We start with a structured discovery engagement to map your highest-value use cases, assess infrastructure readiness, and build a prioritized adoption roadmap.
- AI opportunity mapping across business units (IT, engineering, operations, customer service, finance)
- Infrastructure and cloud readiness assessment (AWS, Azure, GCP)
- Data governance and compliance gap analysis (HIPAA, SOC 2, FedRAMP considerations)
- Use case prioritization matrix with estimated ROI
- Executive-ready adoption roadmap with phased milestones
Organizations that know they need AI but haven't identified the right starting point or don't have internal AI architecture expertise.
Claude API Integration & Custom Application Development
We design and build production-grade applications powered by the Claude API — from internal tools and knowledge assistants to customer-facing AI features embedded in your products.
- Claude API architecture (model selection, prompt engineering, token optimization)
- Custom application development on Sonnet and Opus models
- RAG (Retrieval-Augmented Generation) pipelines — connecting Claude to internal knowledge bases, SharePoint, wikis, and databases
- Model Context Protocol (MCP) integration — connecting Claude to your tools, CRMs, ticketing systems, and data sources
- Streaming, caching, and cost optimization strategies
- Security architecture including API key management, data residency, and access controls
Product teams embedding AI into applications, or IT teams building internal AI-powered tools for employees.
Claude Code & Agentic Coding Deployment
Claude Code is transforming how engineering teams write, review, debug, and ship software. We help your teams adopt it effectively and safely at scale.
- Claude Code rollout planning for engineering teams (licensing, access, policies)
- CLAUDE.md configuration and coding standards setup across repositories
- Custom commands and hook development for team-specific workflows (/review-pr, /deploy-staging, etc.)
- Multi-agent orchestration — coordinating lead agents and sub-agents for complex tasks
- CI/CD pipeline integration — embedding Claude Code into build, test, and deploy workflows
- Security guardrails and audit trail configuration (least privilege, operation logging)
- Developer training workshops on effective human–AI pair programming
Engineering organizations looking to accelerate development velocity, reduce technical debt, and adopt agentic coding practices.
Legacy Code Modernization with Agentic AI
One of the highest-demand enterprise workloads — and where agentic capabilities deliver the most direct impact. We migrate legacy codebases, remediate technical debt, and modernize application stacks with AI in the loop.
- Legacy codebase assessment and modernization roadmap
- Automated code migration (COBOL, Java, .NET, mainframe → modern stacks)
- Technical debt remediation and refactoring using Claude Code agents
- Framework and language migration (monolith → microservices, on-prem → cloud-native)
- Automated test generation and documentation syncing
- Integration with your existing CI/CD and DevOps pipelines
Our proprietary AI-powered application modernization platform — built-in dependency mapping, analysis, and conversion workflows.
Enterprises with aging codebases (mainframe, legacy Java, .NET, COBOL) that need modernization without disrupting operations.
Agentic AI Workflow Design & Implementation
Moving beyond chatbots and copilots into autonomous AI agents that execute real work across your enterprise systems. We design, build, and deploy agentic workflows where Claude operates inside your systems of record with appropriate human oversight.
- Agentic workflow discovery — processes where autonomous AI delivers the highest ROI
- Agent architecture with human-in-the-loop controls and escalation paths
- Multi-agent system design — coordinating specialized agents across tasks
- Enterprise system integration (ServiceNow, Salesforce, Jira, SAP, custom APIs)
- MCP server development — custom connectors for your proprietary tools and data sources
- Governance framework — role-based access, audit trails, and compliance controls
- Pilot deployment with measurable KPIs and success criteria
- IT operations automation (ticket triage, incident response, runbook execution)
- Sales enablement (prospect research, meeting prep, CRM enrichment)
- Document processing (contracts, compliance, regulatory filings)
- DevOps automation (log analysis, anomaly detection, automated remediation)
- Knowledge management (internal Q&A systems, onboarding assistants)
Organizations ready to move from AI-assisted work to AI-executed workflows with proper governance.
AI on Cloud — Infrastructure & Deployment Architecture
Claude runs on all three major clouds. We architect and deploy the infrastructure layer that makes your AI deployment secure, scalable, and cost-effective — whether you're on AWS, Azure, GCP, or hybrid.
- Cloud architecture for AI workloads (compute, networking, storage, security)
- AWS Bedrock / Google Cloud Vertex AI / Azure AI Services integration
- Private endpoint and VPC configuration for data-sensitive deployments
- Kubernetes-based deployment architectures for custom AI applications
- Cost modeling and optimization (token usage, caching, model selection)
- Multi-cloud and hybrid deployment strategies
- Disaster recovery and high availability design
Infrastructure and platform teams responsible for deploying and operating AI workloads at enterprise scale.
AI Governance, Security & Compliance
Enterprise AI adoption without governance is a liability. We help you build the security, compliance, and responsible AI frameworks that let you deploy confidently — even in regulated industries.
- AI governance policy development (acceptable use, data handling, model access controls)
- Responsible AI framework aligned with frontier-model safety principles
- Compliance mapping for regulated industries (healthcare/HIPAA, finance/SOX, government/FedRAMP)
- Data privacy architecture — PII handling, de-identification, data residency
- Access control and authentication design (SSO, RBAC, API key management)
- Audit and monitoring infrastructure for AI agent activity
- Risk assessment and mitigation planning
Compliance-conscious organizations in healthcare, financial services, government, and other regulated sectors.
Training, Enablement & Change Management
Technology without adoption is shelfware. We train your teams — from executives to developers to business users — on how to use AI effectively, safely, and strategically.
- Executive AI briefings — capabilities, limitations, and strategic implications
- Developer training — Claude API, prompt engineering, Claude Code, agentic patterns
- Business user training — Claude for Teams, Projects, effective prompting for non-technical roles
- Claude Certified Architect preparation and study support
- Change management strategy — driving adoption across departments
- Custom playbooks and internal documentation for your specific use cases
- Ongoing office hours and advisory support
Any organization deploying AI that wants to maximize adoption and minimize risk.
Why organizations choose SAN Data Systems for agentic AI.
Practitioners, not just advisors
We're engineers and architects who build and deploy in production every day — not a slide-deck consultancy. Our team has deep hands-on experience across Kubernetes, cloud (AWS, Azure, GCP), DevOps, and enterprise application platforms. When we recommend an architecture, we've already built it.
Full-stack AI + infrastructure expertise
AI adoption isn't just an AI challenge — it's an infrastructure challenge, a security challenge, and a change-management challenge. We cover the full stack from cloud networking and identity to API integration and agentic workflow orchestration.
Modernize-X platform
Our proprietary AI-powered code modernization platform gives us a unique accelerator for the #1 enterprise AI workload — legacy codebase migration and technical debt remediation. We don't start from scratch; we start from a proven toolset.
Multi-cloud native
Claude is the only frontier AI model available on all three major clouds. We're equally fluent in AWS, Azure, and GCP — so we deploy where your infrastructure already lives, without forcing a platform migration.
Security-first mindset
From HIPAA-compliant AI architectures to FedRAMP-aligned deployments, we build with governance and compliance baked in from day one — not bolted on after the fact.
From discovery to production — without the slide-deck detour.
Every engagement follows the same four-stage cadence. We start where you are, move at the pace your business demands, and stay on after launch if you want us to.
Discover
Structured discovery: opportunity mapping, infrastructure readiness, and a prioritized roadmap before any code is written.
Design
Reference architecture, security model, integration patterns, and governance — reviewed with your team and refined to your environment.
Build
We ship working software. Custom applications, agentic workflows, MCP servers, CI/CD integration, deployed across your existing cloud footprint.
Operate
Production launch, ongoing optimization, audit, and our 24/7 managed support if you want us to keep running it for you.
What it looks like when it ships.
Anonymized engagements across regulated and Fortune-class customers. Specific numbers below illustrate the shape of what we deliver — speak to us for references and named case studies under NDA.
Document-heavy review workflow at scale
Built a RAG pipeline over policy and claims documents, with Claude routing edge cases to human adjudicators. Compliance-aligned deployment on private Bedrock endpoints.
Claude Code across a 400-engineer organization
Claude Code rolled out with custom slash commands for review and standardized PR templates. Audit trail and least-privilege access enforced via central policy.
Six-month migration with AI in the loop
Modernize-X analyzed the dependency graph, then Claude Code agents performed iterative refactor + test generation. Deployed onto Kubernetes with zero unplanned production incidents.
Ready to put agentic AI to work?
Whether you're exploring where AI fits in your organization or ready to deploy agentic workflows in production, we'll meet you where you are. Let's start with a conversation.