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CMS SYSTEMS

Content models, workflow design, and migration planning for enterprise and headless CMS platforms.

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CMS modernization
Web engineering
AI-enabled workflows
Automation and integrations
Search-ready content architecture
Services

Focused engineering services for modern content platforms

Tiger Systems AI helps teams modernize CMS platforms, improve web delivery, build search-ready content architecture, and integrate practical AI-enabled workflows.

CMS modernization

Modernization support for teams working with Adobe Experience Manager, Tridion Sites, WordPress, headless CMS platforms, and complex content operations.

  • Adobe Experience Manager AEM, AEM as a Cloud Service, Tridion Sites, WordPress, and headless CMS planning
  • Content modeling, schemas, templates, components, metadata, Content Fragments, taxonomies, and publishing workflows
  • Tridion Sites MCP Server, AEM MCP Servers, WordPress REST API, CMS migration, content mapping, and publishing automation

Web engineering

Modern web engineering for public websites, portals, dashboards, workflow tools, and content-driven digital experiences.

  • React, Angular, Vue, Next.js, TypeScript, Tailwind, and modern front-end application development
  • Reusable UI components, design systems, structured content surfaces, responsive layouts, and accessibility-minded delivery
  • Cloud-ready website and portal implementation with maintainable architecture for future product and platform growth

AI-enabled workflows

Practical AI workflow support that complements CMS, web, automation, search, documentation, and delivery operations.

  • AI-assisted planning, task packets, documentation loops, code review support, and iterative delivery workflows
  • MCP-enabled automation for CMS operations, content creation, content review, publishing, and delivery coordination
  • Agent-ready workflows that connect engineering, content operations, validation, release planning, and business execution

Automation and integrations

Automation and integration work that connects platforms, reduces manual effort, improves reliability, and keeps delivery moving.

  • API integrations, workflow orchestration, middleware support, backend service connections, and system-to-system coordination
  • Content operations automation, validation tools, publishing checks, approval flows, and repeatable process support
  • Internal tools, scripts, dashboards, data flows, and automation patterns for business and engineering teams

Search, SEO and findability

Search-ready content architecture and technical SEO foundations that make digital content easier to crawl, index, rank, and discover.

  • Information architecture, metadata strategy, taxonomy planning, structured content modeling, and content relationship design
  • Technical SEO, crawl health, index readiness, redirects, schema markup, canonical signals, and content discoverability
  • Search experience planning for CMS-driven websites, content-heavy platforms, digital portals, and knowledge surfaces

Advisory and delivery support

Senior engineering advisory and delivery support for modernization planning, architecture reviews, platform decisions, and execution continuity.

  • Architecture reviews, modernization roadmaps, platform assessments, implementation planning, and delivery risk reduction
  • Delivery acceleration for CMS, web, AI workflow, automation, integration, search, and content operations initiatives
  • Focused engineering support for teams that need clarity, execution discipline, technical leadership, and launch momentum
Why Tiger Systems AI

Built around modernization, automation, and execution, not generic agency packaging

Tiger Systems AI helps teams modernize content platforms, improve delivery workflows, strengthen search and findability, and apply AI where it supports real execution.

Implementation-level CMS experience across AEM, Tridion Sites, WordPress, and headless platforms.
AI and MCP-enabled workflow automation connected to real content, publishing, and delivery operations.
Balanced coverage across CMS modernization, web engineering, search, SEO, integrations, and platform support.
Small iterative rollout discipline that keeps projects moving without turning every effort into a giant rebuild.
How we work

Small rollout packets. Clear execution. Better platforms.

The delivery model is intentionally simple: clarify the useful outcome, structure the work, ship a clean version, then improve it through focused iterations.

01

Clarify

Define the business outcome, current platform state, content workflow, delivery risks, and the smallest useful launch path.

02

Structure

Shape the content model, technical architecture, integration points, AI/MCP workflow, and rollout plan around business growth.

03

Ship

Deliver a working version in controlled phases with clean implementation, visible progress, validation, and clear handoff points.

04

Improve

Use the launched foundation to add automation, search, publishing workflows, AI-assisted delivery, and platform improvements.

Launch-ready next step

Modernize your CMS, web platform, or AI-enabled delivery workflow.

Start with a focused conversation around your current platform, content workflow, automation opportunities, and the smallest useful launch path.

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