AI Integration & Automation Services
We integrate modern AI capabilities directly into your existing websites, CRMs, and operational software. From knowledge-grounded RAG assistants to document data extraction and WhatsApp AI bots, we turn AI into measurable business productivity.
Grounded RAG & AI Vector Search Pipeline
Problems Solved with Practical AI Integrations
We focus on solving tangible operational bottlenecks rather than building speculative AI gimmicks:
Repetitive Support Queries
Support teams spend dozens of hours answering identical client inquiries. We deploy AI assistants trained on your internal documentation to answer queries instantly 24/7.
Manual Data Entry & Extraction
Re-typing invoice totals, order receipts, and PDF contracts into your ERP wastes staff hours. We build automated OCR and LLM parsers that extract clean JSON in seconds.
Hallucinations & Data Security
Generic chatbots fabricate false answers and risk data leaks. We implement private vector retrieval (RAG) with strict prompt guardrails so the model only references verified facts.
Our AI & Automation Solutions
OpenAI & Gemini APIs
Seamless backend integration of OpenAI GPT-4, Google Gemini, and Claude models into your existing PHP or web stack.
RAG & Vector Search
Index PDF manuals, product catalogs, and policy guides into vector databases for context-accurate answers.
WhatsApp AI Chatbots
Deploy conversational AI assistants on official WhatsApp Business API to qualify leads and answer client queries around the clock.
Document & OCR Parsing
Extract structured key-value data from scanned PDF invoices, bank statements, and shipping documents directly into MySQL.
Automated Workflows
Trigger automated notifications, lead status transitions, and data enrichment when specific business events occur.
Guardrails & Security
Prompt injection defenses, confidential data scrubbing, token budget caps, and audit logging on every AI call.
Our AI Implementation Process
Knowledge Audit
Auditing your documents, FAQs, or data models to structure the knowledge base for semantic retrieval.
Embeddings & Vectors
Generating text embeddings and indexing chunks into a high-speed vector store with metadata filtering.
Pipeline Integration
Connecting the AI pipeline with your web application, CRM, or messaging channels with error fallbacks.
Testing & Tuning
Validating response accuracy, latency benchmarking (<3s), prompt guardrails, and human escalation testing.
AI Integration FAQ
Is our internal business data private and secure?
Yes. We use standard enterprise API endpoints (OpenAI / Google Cloud) which do not train public models on your proprietary API payloads, and private data remains in your designated vector store.
How do you prevent the AI from making up false answers?
We use Retrieval-Augmented Generation (RAG). The AI is explicitly constrained to only answer using provided contextual snippets from your verified documentation, with instructions to state when information is unavailable.
What ongoing API costs are involved?
You pay directly for your OpenAI or Gemini API consumption at provider rates with zero markup. For most small to mid-sized businesses, token costs typically range between $5 to $30 per month.
Related Engineering Services
Ready to Automate Your Business with AI?
Discuss your workflow with our technical architects and explore practical automation possibilities.