AI Expertise
Turn documents into structured intelligence.
S4HC builds custom AI systems that extract, structure, and reason over data from documents at scale.
We combine deterministic software, LLMs, and strong engineering fundamentals to create systems that are reliable, understandable, and built for human oversight.
We also design for production efficiency from the start — because compute and model costs can escalate quickly when systems are not architected carefully.
Enterprise Content Expertise
Modernizing document-centric operations across the Hyland Content Innovation Cloud (CIC) ecosystem
S4HC brings deep experience designing, implementing, customizing, and integrating enterprise content platforms — including Hyland’s Content Innovation Cloud, Alfresco, and Nuxeo — across complex operational environments.
We help organizations extend and modernize existing document infrastructure through intelligent automation, AI-powered document processing, workflow orchestration, and system integration — built on CIC’s Enterprise Context Engine and Enterprise Agent Mesh.
Enterprise Document Workflows (Hyland CIC Enterprise Agent Mesh)
Content Migration & Integration
Workflow automation
AI-Enabled Document Processing (Hyland CIC Agentic Document Processing)
Document-Centric Application Development
Enterprise System Modernization
DOCUMENT PROCESSING
Document Processing, built for real operations
We use AI to extract, structure, and reason over information from documents at scale — turning fragmented, inconsistent, and unstructured content into usable data and operational workflows.
Our systems are designed not just for capability, but for real-world use: reliable, maintainable, and efficient enough to operate in production over time.
- Extract fields, tables, and entities
- Normalize inconsistent document formats
- Cross-document reasoning and validation
- Workflow-triggered automation
- Structured output generation
- Human-in-the-loop review systems
How we turn documents into systems
Ingest
PDFs, scans, emails, APIs, enterprise systems.
Extract
LLMs combined with deterministic logic to structure information.
Validate
Rules, confidence scoring, and human oversight.
Act
Push structured outputs into workflows, applications, and operational systems.
Cost efficiency strategy
Designed for production efficiency.
AI systems get expensive fast when every task runs through a large model. S4HC builds systems that balance capability with cost, using the right model and architecture for each problem.
- Reduce unnecessary model calls
- Combine LLMs with deterministic logic
- Optimize workflows for scale
- Design for long-term maintainability
- Align system cost with business value
— Applied to use cases
Built for real operational problems.
Four areas where we apply the same architectural discipline to deliver production-grade AI systems
Contracts & Documents
Internal document automation and lifecycle management.
Document ops →
Operational Workflows
AI-driven process optimization across enterprise systems.
PROCESS AI →
Financial Operations
Structured processing of financial and transactional data.
FINANCIAL AI →
Internal knowledge
Semantic access to organizational knowledge.
KNOWLEDGE AI →
How we work
Document processing, supported by AI infrastructure.
One core capability, reinforced by four supporting disciplines that make production AI systems reliable at scale.
• Primary service
Document processing
Using AI to extract, structure, and reason over data from documents at scale.
Built for production use: reliable, maintainable, and efficient enough to run continuously.
AI extraction
Production-ready
AI-scale
— Supporting services
Agentic Workflows
Multi-step AI agents that orchestrate document
tasks reliably.
02
Data mapping
Schema alignment across systems and document
formats.
03
Evaluation & Data Labeling
Quality measurement and ground-truth datasets for AI systems.
04
RAG-Based Systems
Retrieval-augmented generation grounded in your own documents.
We build AI systems that hold up in production.
S4HC partners with organizations to design and deploy AI systems that solve real operational problems — especially where critical data lives inside documents.
We work across the full lifecycle, from architecture and workflow design to deployment and optimization. We don’t build demos. We build systems that get used.