AI Integration for Existing Websites
Add AI search, document processing, recommendations, or support features to your existing website through carefully scoped integrations.
Overview
An established website already contains valuable content, customer journeys, and business logic. Our AI integration service adds a useful capability to that existing system, such as natural-language search, document summarisation, assisted content processing, or a support experience grounded in your own information. The starting point is the task you want to improve and the technical access your current platform provides.
We review how your website is built, where the relevant data lives, and how users currently complete the task. Some projects need an API integration; others need a search index, a background processing step, or an additional interface. The feasibility review identifies the changes required to your current application and any constraints imposed by hosting, third-party software, or available data.
The new feature is designed to fit the existing journey. An AI search tool should point people towards useful results; a document-processing feature should produce an output that staff can inspect; and generated recommendations should have a sensible fallback. We define how the feature behaves when the provider is unavailable, a request takes too long, or the input does not support a reliable answer.
Integration work also covers access permissions, provider credentials, usage limits, and the information passed to external services. We test representative examples alongside the existing workflow before enabling the feature for its intended audience. This staged approach lets you assess usefulness and operating costs while keeping the change focused on a practical business need.
Why it helps
- Introduce a targeted AI capability within a familiar customer or staff workflow.
- Reuse existing content and systems where their interfaces and structure support integration.
- Give users useful fallbacks when an AI result is unavailable or uncertain.
- Assess a focused feature before committing to a wider AI programme.
What's included
- Technical review of the current website, available APIs, and relevant data sources.
- A scoped AI feature such as semantic search, summarisation, or assisted document processing.
- Interface changes that fit your current navigation and task flow.
- Server-side provider connection, usage controls, and failure handling.
- Example-based evaluation and checks that existing core journeys still work.
How we work
- 01 Audit: examine the current application and select a feasible, valuable use case.
- 02 Specify: define inputs, outputs, permissions, acceptable behaviour, and provider costs.
- 03 Integrate: connect the AI capability and add review or fallback steps where appropriate.
- 04 Validate: test with your examples, release the agreed feature, and review actual usage.
Case study
Illustrative case study: searching a technical resource library
The challenge: Customers know the problem they need to solve but do not know the exact title of the relevant document.
The approach: Add natural-language search that retrieves relevant material from an approved resource library and links back to the original pages. Keep the existing navigation available and provide a useful no-result state.
What to evaluate: Compare a set of real customer questions with the returned documents, check access restrictions, and review response time and provider cost. This illustrates how the integration could be assessed; it is not a claim about a completed client project.