AI at IntelSpire

AI that ships — not slideware.

We build AI into the products and operations businesses actually run on. Four ways we do it: inside your enterprise software, as your own private model, through fast AI-assisted builds, and by automating the work nobody should be doing by hand.

Enterprise development

AI inside the software your business already runs on

Most "AI projects" stall in a demo. We put AI where the work actually happens — inside your ERP, your CRM, your internal tools — so it earns its keep every day, not just in the pitch.

  • Copilots for real teams: draft a quote, answer a policy question, summarise a customer's whole history in a sentence.
  • Document intelligence: pull the numbers out of invoices, contracts and forms without anyone retyping them.
  • Agents that take action — not just chat. They update records, route tickets, trigger the next step.
  • On your terms: runs against your data, inside your security, with a human in the loop where it matters.
See a full build — the LMS support system →
Apps · CRM · ERP · Tools AI layer Your data
Private LLM development

Your own model, on your own ground

You don't have to hand your data to a public AI to get a smart one. We stand up open-weight models — Llama, Mistral — inside your environment, then teach them your world.

  • Private by default: the model runs where your data already lives, and nothing leaves the building.
  • Grounded, not guessing: retrieval ties every answer back to your real documents.
  • Tuned to your domain, so it speaks your industry instead of generic internet.
  • Measured, not hoped: an evaluation setup so you can see it's right before it goes live.
  • Predictable cost — no per-token meter running against you as usage grows.
Private LLM + RAG in action →
LLM private · yours
Vibe coding

From "what if" to a working thing — fast

Some ideas don't need a six-month roadmap to find out if they're any good. Vibe coding is how we build with AI in the open: describe it, watch it take shape, adjust it by conversation — with a real engineer steering so what you get is actually shippable.

  • Prototype in days: a clickable, working version while the idea is still warm.
  • Change it by talking — "make the header bolder, add a filter" — and it's done.
  • Real code, not a toy: generated, then reviewed and hardened by our engineers.
  • Idea to MVP without the theatre — less planning ritual, more shipping.
"build me a booking page"
AI automation

The boring, repetitive parts — handled

Every business has work that's just moving things from A to B. Copy this into that. Message the customer. Update the sheet. We wire those up with n8n and drop AI in wherever a real decision is needed, so the busywork runs itself.

  • Connect everything: WhatsApp, email, CRM, sheets, your database — finally talking to each other.
  • AI where it counts: classify, summarise, decide — inside the workflow, not bolted on beside it.
  • Event-driven: it reacts the moment something happens, day or night.
  • You can see it working — monitoring and logs, so it's never a black box.
See two we built for retail →
trigger AI decide
See it in action

Two we've already built

PRIVATE LLM · RAG

AI-Based LMS Support System

A learning platform with a built-in expert — our private LLM answering learners from the course's own content, grounded and permission-aware, hosted on the institution's terms.

View the page
AUTOMATION · WHATSAPP

AI for Retail

Two real case studies: a sales team moved off a shared Excel sheet onto a live dashboard, and a bakery whose entire WhatsApp order lifecycle now runs itself through Meta's Cloud API.

View the page
Let's build

Have something AI should be doing for you?

Tell us the problem, not the buzzword. We'll tell you honestly whether AI is the right tool — and if it is, what we'd build.

Book a call