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AI Strategy & Integration - Practical AI for Real Businesses

Artificial Intelligence is not magic, it's engineering. I help businesses move beyond the "ChatGPT hype" to implement secure, pragmatic AI workflows that solve real operational and commercial problems.

Most companies don’t need “AI everywhere.” They need AI in the right places - carefully planned, well integrated, and easy to maintain.

Rapid Web Development - Custom Websites Delivered in Days
User Experience Upgrades

How AI transforms your Website

You don't need to rebuild your site to add Intelligence. Here are 3 ways I can integrate AI into your existing platform today.

The 24/7 Smart Assistant

Standard search bars are frustrating. Users have to guess keywords. I replace your search with an AI Agent (RAG) that answers questions like "Which product is best for outdoor hiking?" by reading your actual catalog.

My Role: I build the "Vector Pipeline" that connects your SQL product database to OpenAI, ensuring it only recommends products you actually have in stock.

AI for Job Boards & HR

Not a dumb "rule-based" bot. An AI assistant that knows your documentation, return policies, and pricing. It can handle 80% of Tier 1 support tickets instantly, freeing your humans for complex issues.

My Role: I train the model on your PDF manuals and previous support tickets. I also implement "Guardrails" so the bot never promises refunds it can't approve.

The Sales Engineer Agent

Instead of showing the same homepage to everyone, AI can analyze a user's behavior in real-time and rewrite headlines or reorder products to match their specific intent (e.g., "B2B Buyer" vs "Consumer").

My Role: I integrate lightweight API calls that classify the user intent on the fly and adjust your frontend (Vue/React/PHP) to match their profile.
Technical Implementation

Beyond the API Call

Integrating AI isn't just about sending data to OpenAI. It's about data hygiene, latency management, and cost control.

Many businesses fail because they treat LLMs (Large Language Models) like a magic box. I treat them like a database: they need structure, indexing, and security layers.

  • RAG Architecture: Reducing hallucinations by grounding AI in your data.
  • Vector Databases: Implementation of Pinecone/Weaviate for semantic search.
  • Cost Optimization: Caching strategies to reduce API bills by 40-60%.
user_query = "Pricing for Enterprise?"
context = vector_db.search(user_query)
> Retrieved: pricing_policy_v2.pdf
> Retrieved: enterprise_sla.txt
response = llm.generate(query, context)
return response

What AI Integration Means in Practice

An effective AI strategy starts with understanding your business processes, data, and goals. Based on that, I identify where AI can deliver real value and design solutions such as:

  • AI-powered assistants integrated into websites or admin panels
  • Automated content generation and moderation workflows
  • Intelligent search, recommendation, and classification systems
  • AI-driven customer support and lead qualification
  • Custom integrations with large language models and internal data sources

Why Work with an AI Engineer, Not an AI Trend Agency

Many agencies focus on demos and buzzwords. I focus on production-ready AI systems that can be deployed, monitored, and improved over time.

  • Clear AI strategy – no hype, only practical use cases
  • Seamless integration – AI embedded into existing web solutions
  • Security & data control – privacy-aware architecture by design
  • Custom workflows – AI adapted to your business processes
  • Long-term maintainability – scalable, evolvable systems

Whether you want to enhance an existing website, automate internal workflows, or build a new AI-powered web solution, I help you turn Artificial Intelligence into a reliable engineering asset — not a marketing gimmick.



Practical Applications

Why your business needs AI

It's not about "replacing humans." It's about removing the drudgery so your team can focus on value. Here are 3 real-world implementations.

UseCase 01: Customer Support

The 24/7 Smart Assistant

Standard chatbots are frustrating because they only know pre-written rules. I build RAG (Retrieval-Augmented Generation) bots that actually read your company's PDF manuals, previous support tickets, and pricing sheets.

The result is a bot that answers professionally, in your brand voice, and never hallucinates facts because it's grounded in your data.

The Business Value:Reduces Tier-1 support tickets by 70%. Your support team wakes up to fewer emails, allowing them to focus on complex client issues.
LIVE DEMO PREVIEW
"Do you ship to Switzerland and what is the cost for 50kg?"
"Yes, we ship to Switzerland via DHL Freight. For a 50kg pallet, the rate is €120. Delivery takes 3-4 business days. Would you like a formal quote?"
* Source: Shipping_Policy_2025.pdf (Page 12)
UseCase 02: Recruitment Platforms

AI for Job Boards & HR

For job sites or company career pages, AI changes the game. I integrate two key engines:

  1. Auto-Formatter: Managers often send messy job descriptions. The AI takes a few bullet points and expands them into a perfectly formatted, inclusive, and SEO-optimized job offer.
  2. Semantic Matching: Instead of matching just keywords, the AI reads the CV to understand the context of a candidate's experience, ranking them even if they use different terminology than the job post.
The Business Value:Drastically reduces "Time to Hire." Recruiters stop reading irrelevant CVs and managers spend 90% less time writing descriptions.
HR DASHBOARD PREVIEW
Job: Senior React Developer
Candidate: Alex D.
Exp: Vue, Node, AWS
95% Match
AI Note: Strong JS fundamentals
Candidate: Sarah J.
Exp: Wordpress, Content
15% Match
UseCase 03: E-commerce Sales

The Sales Engineer Agent

Customers often know what they need to do, but not which product they need. Search bars fail here.

I build "Sales Agents" that act like a consultant in a physical store. A user can say: "I need a water pump for a 50m deep well with muddy water." The AI analyzes the technical specs of your 5,000 products and recommends the exact model that fits those constraints.

The Business Value:Increases conversion rates by guiding users to the right purchase immediately, reducing returns caused by buying the wrong incompatible product.
PRODUCT MATCHER
"I need a pump for a 50m well, muddy water."
Recommended: HydraPro X500
✔ Handles Solids up to 5mm
✔ Max Head: 60m

View Product →


Security is the Priority

Many companies hesitate to adopt AI because they fear data leaks. My integration strategy is Privacy-First.

Local vs. Cloud AI

For sensitive data (HR, Financials), we don't send data to OpenAI. instead, we deploy Open Source Models (Llama 3, Mistral) directly on your own secure servers.

  • ✔ No data leaves your infrastructure
  • ✔ GDPR Compliant Architecture
  • ✔ Zero API cost per token

Ready to discuss your AI roadmap?

Book Strategy Call