AI on your business data
Available from Q1 2027Answer → Act → Coordinate
Three levels, all built on your data pipelines and warehouse, reading the same clean data as your dashboards: a chatbot that answers from your documents and data with RAG, an AI agent that also does the work in your systems, and a team of agents that splits bigger jobs between specialists, with a person approving what matters.
Packaged solutions
- RAG chatbot
Company Knowledge Assistant
One assistant that answers from all your documents, quotes its sources and says when it does not know.
Available Q1 2027- The pain
- Your team loses hours searching folders, emails and PDFs, and gets different answers each time.
- What you get
- Document parsing and OCR, hybrid search with reranking, answers that cite their source and check the retrieved text before replying, tested on your real questions, and access limited by team.
See the tasks10
Available Q1 2027
A chatbot that answers your customers from your own content
Your team answers the same questions about prices, orders and delivery all day.
Answers from your catalog, policies and order data at any hour, with anything unusual passed to a person.
A document assistant that answers from your policies, contracts and price lists
Staff dig through PDFs and folders to answer the same questions.
Answers that quote the page they came from, and say when your documents do not cover the question.
Ask your business data a question in plain words
Managers wait days for an analyst to pull a simple number.
Answers from the same clean warehouse your dashboards use, with the query behind each answer shown, so analysts stop pulling the same numbers by hand.
Invoices, PDFs and scans into rows, with no typing
Staff retype invoices, receipts and forms into Excel, with mistakes and delays.
Each document read into rows and checked against your rules, with unclear fields sent to a person.
Catch supplier overbilling before you pay
Invoices get paid even when the price or quantity does not match the order, the delivery or the agreed terms.
Every invoice line checked against its order, delivery and contract price, with each mismatch and its source shown before payment.
Fix the chatbot that gives wrong answers
Your chatbot sounds confident, but makes things up or misses what is in your documents.
A test set of your real questions, scores for accuracy and made-up answers, and monitoring of every reply's cost and speed.
Available Q2 2027
An AI agent that handles routine work across your tools
Your staff copy information between email, spreadsheets and systems all day.
An agent that reads, decides and updates your tools, with a person approving what matters.
Connect ChatGPT or Claude to your own systems
Your team uses AI chat every day, but it cannot see your orders, stock or customers.
Your AI assistant reads your systems through approved, read-only tools over MCP, with every request logged.
AI that runs on your own servers
You cannot send customer or financial data to an outside AI service.
Open models running on your own machines or private cloud, so your data never leaves your control.
Turn your AI prototype into a reliable product
Your AI demo works on one laptop but breaks with real users and real data.
A secure API in Docker, deployed to the cloud with monitoring, scaling and access control.
Projects that prove it
- Null Labs AI Inc., United States · ArgusWalmart deductions matched to the cent and sorted by what to dispute
- Waha Bosch Auto Service · Bosch Car Service center50,000+ workshop Excel files turned into one source of truth and an AI assistant
- Product · job-radar, open sourceNew data and AI jobs from 22 sources, ranked and emailed every dayOpen-source product: 22 sources, 121 company career pages in Egypt and a crawl of 28,000+ more, merged into one ranked list every day.
- Project · Supplier scorecardTracing 29% of late deliveries to a supplier's late hand-over98,666 orders: 29% of late deliveries started with a supplier's late hand-over, and 61 suppliers with 4.4% of deliveries accounted for 12% of them.
Questions about this service
When can we start an AI project?
Chatbots and document assistants that answer from your data open in Q1 2027, and agents that act in your systems in Q2 2027. A call now plans the data they will need.
Where does the AI get its answers?
From your own documents and warehouse, and every answer shows the source it came from.
Not sure which one you need?
Book a free call and I'll tell you which of these I would start with for you, and why.
Book a free call