AI is only useful when it is grounded in your business reality. We integrate AI capabilities into the systems you already run — with permissions, retrieval quality, and answer grounding evaluated as part of the implementation.
Web Development — AI Development & Integration
AI Integration
Connect AI to the systems and knowledge your business already runs on — retrieval, embeddings, and business tool integration.
Who this is for
- Businesses wanting AI grounded in their own documents and data
What's included
Retrieval-augmented generation
Connect AI applications to approved documents and knowledge bases through retrieval, supplying relevant context at query time rather than necessarily retraining the model.
Embeddings and semantic search
Select or adapt embeddings for semantic search over your industry terminology and document structures.
Permissions
Review retrieval quality, document permissions, and whether answers are supported by approved sources.
Tool integration
Connections to CRMs, ticketing, and internal tools within defined boundaries.
How the engagement works
Define sources
Which documents and systems the AI may access.
Integrate
Retrieval, embeddings, and tool connections built and tested.
Evaluate
Relevance and grounding evaluated against your real queries.
What you receive
- AI features integrated into your systems with permissions respected
- Evaluation results using representative queries and approved data sources
Scope & limitations
- Retrieval supplies context at query time; retrieval quality, permissions, and answer grounding require evaluation rather than assumption.
Related services & solutions
Related insights
Continue exploring ai integration
Articles and practical guidance related to this capability.
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Read the article →Discuss Your AI Project
Share your goals and current setup. We will review your enquiry and discuss scope and next steps.
