Service · Generative AI

Generative AI and Automation That Does Real Work

AI chatbots that answer from your own content, n8n workflows that move data between the tools you already use, and AI automation services that take repetitive tasks off your team's plate.

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Overview

Most AI Projects Fail for a Boring Reason

They start with the technology instead of the task. A business adds a chatbot because a competitor has one, the chatbot answers questions with confident guesses, and within a month nobody trusts it.

We start from the other end. First we find the work your team repeats every day: answering the same questions, copying details from a form into a CRM, sorting inquiries, and writing first drafts of routine replies. Then we decide whether AI is the right tool at all, or whether a simple automation would do the job more reliably and for less money.

When AI is the answer, we build it to stay grounded. The assistant on this website is a working example you can test right now. It answers only from our own published pages, switches to a second AI provider if the first is unavailable, and hands you to a person on WhatsApp when the site doesn't cover your question. Ask it something off-topic and it declines instead of inventing an answer.

Why choose Code Prisma

  • Chatbots grounded in your own content through retrieval (RAG), not open-ended guessing
  • n8n workflows connecting forms, CRMs, email, WhatsApp, and spreadsheets
  • A straight recommendation when automation without AI is the better choice
  • Healthcare-aware setups that keep patient information away from tools not approved for it
  • Fallbacks built in, so a failed AI service doesn't break the workflow
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What we build

AI Automation Services for Everyday Work

AI Chatbots and Website Assistants

Assistants that answer from your services, pricing, and FAQs, then pass serious inquiries to your team on WhatsApp, email, or a booking form.

RAG Knowledge Assistants

Internal tools that search your documents, policies, and manuals, and answer staff questions with a link back to the source.

n8n Workflow Automation

Self-hosted or cloud n8n workflows that move data between the apps you already pay for, on a schedule or the moment something happens.

Lead Handling

New inquiries captured, sorted by service and urgency, added to your CRM, and routed to the right person without anyone copying and pasting.

Drafts and Summaries

First drafts of routine replies, social captions, and weekly reports. A person reviews them before anything goes out.

How we work

From Repetitive Task to Working Automation

Map the Work

We list the repetitive tasks, the time each one takes, and which are worth automating first.

Prototype

You see a working version tested on your real examples before we commit to a full build.

Build and Test

We connect your tools, add guardrails and fallbacks, and test against the edge cases your team actually sees.

Launch and Monitor

After launch we review conversations and workflow logs, fix what goes wrong, and document everything.

Who it's for

Who This Service Is For

Clinics and healthcare practices answering the same questions about hours, insurance, and services dozens of times a day.

Service businesses with more inquiries than staff. Leads sit unanswered overnight or get lost somewhere between email and WhatsApp.

Teams stuck copying and pasting between forms, spreadsheets, and CRMs.

Businesses curious about AI that want an honest opinion on where it helps before spending money on it.

Guardrails

AI, Accuracy, and Patient Information

Generative AI tools send text to outside services, and some free or consumer plans may use that text to train their models. For a healthcare organization, the setup matters as much as the idea. We keep patient information out of any AI service that isn't approved for it, and we'll tell you when a use case needs a provider plan that signs a business associate agreement or a model running on infrastructure you control.

We also design for mistakes. AI models can give wrong answers with complete confidence, so our builds limit what the model can draw on, refuse questions outside that scope, and route anything important to a person. A chatbot should never give medical advice, and ours are built not to.

FAQ

Common Questions About Generative AI

What is n8n, and why do you use it?

n8n is a workflow automation platform, similar to Zapier or Make, that can run on your own server. Self-hosting keeps your data under your control and avoids per-task pricing that gets expensive as volume grows. If your team already uses Zapier or Make, we'll tell you whether switching is worth it.

What does RAG mean?

Retrieval-augmented generation. Instead of letting an AI model answer from whatever it learned in training, the system first pulls the relevant passages from your own documents and gives the model only those. Answers stay tied to your content, and the assistant can show where each one came from.

Which AI models do you work with?

We choose per project based on answer quality, cost, and data handling. That includes Google Gemini, fast open models hosted on Groq, and other major providers. For sensitive data, a provider's data policy matters as much as the model itself.

Can you add a chatbot like yours to my website?

Yes. The assistant on this site answers from our own pages, loads nothing until someone opens it, and hands off to WhatsApp. We build the same kind of assistant around your services, pricing, and FAQs.

How much does an AI project cost?

It depends on the number of workflows, integrations, and how much AI usage is involved, so we send a fixed quote after a short call, usually within 24 hours. At small-business volume, the AI usage behind a chatbot or workflow often costs only a few dollars a month.

Will AI replace my staff?

That's rarely the goal and rarely the result. The best projects remove the repetitive parts of a job, so your team spends more of its time on the patients and customers in front of them.

Find Out What's Worth Automating

Tell us the task your team repeats most, and we'll tell you honestly whether AI, simple automation, or neither is the right fix.

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