Services
AI that fits into what you already run.
You don't have to replace your systems to add AI. We build the layer on top — production-grade, not a science project — without changing your infrastructure.
You're here because something here sounds familiar.
- Everyone's talking about AI, but the demos never survive contact with your real systems.
- Your data is locked in a legacy database no AI tool can read.
- You don't want a science project — you want something in production.
Our approach
Prove quality on generic API calls first, then optimize. Deterministic rules where they belong, AI where it adds value. A LiteLLM gateway keeps it production-grade and model-flexible from day one.
Chatbots
System-integrated chatbots (WhatsApp / Web / Teams) that read and write to your database.
Document AI
Automatic extraction from invoices, contracts, and receipts, straight into your system.
Semantic Search
Smart search across legacy data: “clients who mentioned a similar issue before.”
AI Co-pilot
A “?” button that explains any screen in plain language, cutting support load.
FAQ
Will AI see our sensitive data?
You control exactly what the AI can access. We design for least-privilege, and for many workflows your data never leaves your environment.
Do we need to move to the cloud?
No. AI features can run against your existing on-prem or hybrid setup.
What does an AI project cost?
It depends on scope — a focused chatbot is very different from a full document-AI pipeline. You get a fixed-price proposal after discovery.
How long until it's in production?
A focused first use case can be live in a few weeks. We start with something real, not a demo.
Which AI models do you use?
We're model-flexible through a LiteLLM gateway — we pick the right model per task and can switch as the landscape changes.
Can AI work with our old Access database?
Yes — that's exactly what our Access-MCP tooling is for.
What if the AI gets something wrong?
We design deterministic guardrails around AI outputs, and keep a human in the loop for anything consequential.
Is this just hype?
We ship AI to production for real clients, not demos. If a use case doesn't add real value, we'll tell you.
Why A-Point
- We ship AI to production, not demos
- We built the tools (MCP)
- Your data stays where it is
- Deterministic-first, AI-second
Book a free 30-minute consultation.
A logistics client cut invoice data-entry time dramatically with Document AI.