AI Integration & Automation
Bring real AI into your product and operations — chat, copilots, search, and automation that actually work.
AI is only valuable when it solves a real problem reliably. AIpros integrates modern AI into your app and your business the right way: grounded chatbots and copilots, intelligent search, document processing, and automations that remove manual work. We combine large language models with your own data and solid engineering — including guardrails and evaluation — so the results are accurate, safe, and genuinely useful.
We integrate AI into new and existing products: LLM-powered features, retrieval-augmented generation (RAG) over your data, and automation pipelines. We handle the full stack — prompts, data, orchestration, evaluation, and deployment — with a focus on accuracy, cost, and reliability.
What We Deliver
Key Features
- AI chatbots and copilots grounded in your knowledge base with RAG
- Smart, natural-language search across your documents and data
- Document processing: extraction, classification, and summarization
- Workflow automation that combines AI decisions with your systems
- Custom model selection and fine-tuning for domain accuracy
- Guardrails, evaluation, and monitoring to keep outputs safe and reliable
- Cost optimization across models, caching, and orchestration
- Seamless integration into your existing app, website, or tools
Our Process
How We Build It
1
Use-Case Assessment
We identify where AI will genuinely add value and where a simpler solution is better — and scope it honestly.
2
Data & Architecture
We design the data pipeline, retrieval, and orchestration, connecting AI to your knowledge and systems.
3
Build & Prompt Engineering
We build the feature, engineer prompts, and add guardrails, evaluation, and fallbacks.
4
Evaluation & Tuning
We measure accuracy against real cases, reduce hallucination, and tune for cost and speed.
5
Integration & Launch
We ship the feature into your product with monitoring and analytics in place.
6
Monitor & Improve
We track quality and cost in production and continuously improve as usage grows.
Why It Matters
Benefits for Your Business
- AI features that are accurate and useful — not gimmicks
- A product that feels years ahead of the competition
- Hours of manual work removed through smart automation
- AI grounded in your data, with guardrails against bad output
- Controlled costs through smart model and caching choices
- A team that pairs AI with solid, conventional engineering
Tech Stack
Technologies We Use
OpenAI
Anthropic Claude
LangChain
RAG
Vector Databases
Python
Node.js
Pinecone
pgvector
FastAPI
Whisper
ElevenLabs
Real-World Applications
Use Cases
In-App Copilots
Assistants inside your app that answer questions, take actions, and guide users — grounded in your data.
Support Chatbots
Chatbots that resolve customer questions accurately using your docs, with clean handoff to humans.
Document Intelligence
Automated extraction and understanding of invoices, contracts, and forms — hours down to seconds.
Voice & Phone Agents
Natural voice agents that handle calls, qualify leads, and connect to your CRM and calendar.
Common Questions
Frequently Asked Questions
Yes. Most of our AI work is integrating features into existing apps, websites, and internal tools — via APIs and clean, well-tested code.
We use retrieval-augmented generation (RAG) to ground responses in your verified data, add guardrails and confidence checks, and evaluate against real cases to minimize hallucination.
We're model-agnostic and use the best fit — OpenAI, Anthropic Claude, and open models — balancing accuracy, speed, and cost, and switching as the landscape evolves.
Yes. We design with privacy in mind, keep sensitive data controlled, use providers with strong data policies, and can deploy private or self-hosted models when required.
Not necessarily. RAG and modern LLMs let you get strong results from your existing documents. For custom models we'll assess data needs during scoping.
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