Build Intelligent, Secure AI Chatbots That Actually Work
Integrate Generative AI Into Your Enterprise, Securely and at Scale
Move beyond GenAI pilots. Embed Generative AI into your core systems, workflows, and decision-making—securely, responsibly, and with measurable ROI.
CloudHew helps enterprises integrate Generative AI into existing applications, platforms, and business processes—transforming experimentation into production-grade GenAI adoption with governance, security, and operational control.
What Is GenAI Integration?
GenAI integration is the process of embedding Large Language Models (LLMs) and generative AI capabilities directly into enterprise applications, data platforms, and operational workflows—rather than running GenAI as disconnected chat tools or experiments.
Effective GenAI integration enables enterprises to:
- Ground AI responses in trusted enterprise data
- Automate real business actions (not just generate text)
- Enforce security, governance, and compliance
- Control costs and measure ROI
- Scale GenAI safely across teams and systems
Enterprise GenAI Integration Challenges We Solve
Most organizations struggle to move GenAI from pilots to production due to:
- GenAI proofs-of-concept that never scale
- Poor integration with CRM, ERP, ITSM, and core systems
- Hallucinations caused by ungrounded LLM responses
- Data leakage, IP exposure, and compliance risks
- Fragmented GenAI tools and APIs
- High inference, token, and infrastructure costs
- No visibility into usage, quality, or ROI
- Difficulty embedding GenAI into real workflows
CloudHew addresses these challenges with an integration-first, security-by-design GenAI architecture.
Key Business Benefits of GenAI Integration with CloudHew
Accelerate GenAI Adoption—Without Disrupting Core Systems
Reduce Hallucinations with RAG Grounding
Secure, Governed Access to Enterprise Data
Lower GenAI Operational & Inference Costs
Automate Real Business Workflows
Enterprise-Grade Compliance & Responsible AI
Clear ROI from GenAI Use Cases
CloudHew GenAI Integration Services
Enterprise GenAI Integration
• Embed GenAI into existing web, mobile, and enterprise applications
• Enable GenAI at workflow and process levels
• Frontend, backend, and API-level integration
Outcome: GenAI becomes part of daily business operations—not a standalone tool.
LLM Integration & Orchestration Services
• Integration with OpenAI, Azure OpenAI, and open-source LLMs
• Multi-LLM routing, fallback, and load balancing
• API abstraction and model selection strategies
Outcome: Flexibility, resilience, and cost control across GenAI providers.
RAG Integration with Enterprise Data
• Secure connectors to documents, databases, data lakes, and knowledge bases
• Vector databases, embeddings, and retrieval pipelines
• Context grounding, citations, and response traceability
Outcome: Accurate, explainable GenAI responses grounded in enterprise truth.
GenAI Enablement for Business Systems
• CRM, ERP, ITSM, HR, Finance, and Procurement integration
• Action-driven GenAI outputs (create tickets, update records, trigger workflows)
• Human-in-the-loop approvals and controls
Outcome: GenAI that acts—not just answers.
GenAI API Development & Middleware
• Custom GenAI APIs and integration layers
• Secure middleware for prompt management and orchestration
• Enterprise-ready SDKs and services
Outcome: Clean, scalable GenAI integration across platforms.
Security, Governance & Responsible AI Controls
• Role-based access control and data masking
• Prompt logging, monitoring, and audit trails
• Bias detection, safety filters, and compliance checks
Outcome: Trustworthy GenAI aligned with enterprise risk and compliance standards.
Monitoring, Cost Optimization & Lifecycle Management
• Usage analytics and GenAI observability
• Token, inference, and infrastructure cost optimization
• Continuous tuning, scaling, and performance improvement
Outcome: Sustainable GenAI adoption with controlled costs and measurable value.
How RAG Reduces Hallucinations in GenAI
Retrieval-Augmented Generation (RAG) ensures GenAI responses are based on verified enterprise data, not generic internet knowledge.
With RAG integration:
- LLMs retrieve relevant internal documents or data before generating responses
- Outputs are contextually grounded and auditable
- Hallucinations and incorrect assumptions are significantly reduced
This is critical for regulated, data-sensitive enterprise environments.
Competitive Positioning: Why CloudHew Wins
What Others Deliver
- Tool-centric GenAI platforms with shallow integration
- Consulting PoCs with no production ownership
- GenAI wrappers lacking security and governance
What CloudHew Delivers
- Integration-first GenAI architecture
- RAG-based accuracy and enterprise grounding
- Deep CRM, ERP, and workflow integration
- Security, governance, and compliance by design
- Production-grade scalability and observability
- Clear business outcomes and ROI alignment
Proven GenAI Integration Use Cases
Integrated GenAI into CRM workflows, reducing manual effort by 50 percent
Reduced GenAI inference costs by 35 percent through LLM orchestration
Moved GenAI from pilot to production across multiple business units
Enabled secure, role-based GenAI access to enterprise knowledge across teams
Why Choose CloudHew as Your GenAI Integration Partner
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Deep expertise in GenAI, LLMs, and RAG architectures
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Enterprise-first security and governance mindset
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Faster time-to-production than traditional consultancies
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End-to-end GenAI lifecycle ownership
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Strong integration and middleware engineering capabilities
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Continuous optimization, monitoring, and support
GenAI From Experimentation to Production
Integrate Generative AI into your enterprise—the right way.
Whether you are modernizing existing systems or launching new GenAI-powered capabilities, CloudHew helps you deploy secure, scalable, and business-ready GenAI solutions.