Connect AI models directly into the tools your team already uses.
Adding AI to your business usually isn't about picking a new tool — it's about wiring an AI model into the systems you already run, so it has real data to work with and real actions it can take, instead of living in a separate tab nobody opens.
The short answer
An AI integration connects a language model, such as OpenAI or Claude, to your existing CRM, website or database through APIs, so the model works with your real data and its output lands in the tools your team already uses. WikiAI picks the model that fits the task and budget.
A lot of AI adoption stalls at the demo stage: a chatbot widget with no access to real data, an AI tool that requires manual copy-paste in and out. Without a real integration into your CRM, database, or internal tools, AI stays a novelty instead of becoming part of how work actually gets done.
We connect AI models (OpenAI, Claude, and others depending on the use case) directly into your existing systems via API — so the AI has real context from your CRM, documents, or database, and its output flows back into the tools your team already works in.
Every project follows the same four steps. You get a written estimate and timeline after the strategy call, because how long it takes depends on scope.
We map your manual processes, find the bottlenecks, and estimate what they cost you in hours each week.
We choose the right AI tools, APIs and workflows for your business and budget, and agree in writing what the system will and will not do.
We build and test the system, connect it to your tools, and launch it in stages so problems show up early rather than in front of customers.
We watch what the system does, fix what breaks and improve what works, with a person reviewing anything it flags.
AI that answers team questions using your actual documentation, not generic internet knowledge.
Chat assistants, content tools, or search grounded in your real product and service information.
AI models that analyze your CRM or operational data to surface insights automatically.
Choose one use case where the AI needs your own data, such as answering team questions from internal documents, and integrate that first so you can check accuracy on real content.
We work with the model that fits the use case and budget — commonly OpenAI and Anthropic's Claude models — rather than being locked to a single vendor.
We design integrations with data handling in mind for your specific requirements, and never send sensitive data to a model without your knowledge of exactly what's being shared.
No — we build and maintain the integration as part of your plan, and Growth/Enterprise clients get ongoing support for changes as your needs evolve.
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Explore serviceReplace repetitive, rules-based work such as data entry, routing and document handling with systems that run on their own.
Explore serviceChatbots grounded in your own services and pricing, with a clean handoff to a human.
Explore serviceBook a free strategy call and we will show you how AI Integrations would fit your business, what is involved, and what it would cost.