AI integration that works inside your systems, not beside them.
Most teams do not need a new AI product. They need the tools they already pay for — CRM, inbox, ticket queue, document store, spreadsheets — to stop eating hours. We wire LLMs, agents and automation into those systems, with the grounding, logging and human checkpoints that keep them safe on a Monday morning.
Free meeting · Free consultation · Free demo — for every project, every client.
You pay only when you say 'build it'. NDA-first if you want it — your idea stays yours.
The sentences we hear most.
Written the way clients say them on the first call, not the way a brochure would.
“My team copies the same data between five tools all day.”
“We tried a chatbot on our documents and it made something up in front of a customer.”
“Support answers the same forty questions every single week.”
“We have ten years of files and nobody can find anything in them.”
“Our automation broke when the file format changed and nobody noticed for a week.”
“The board wants an AI strategy. I want one thing that actually works.”
What actually lands in your hands.
Listed before the work starts, so finished is never a matter of opinion.
- A working integration inside your production stack — not a notebook on a laptop.
- Source code in your repository, with a README a new engineer can follow.
- Prompts, tool definitions and agent logic kept in version control, reviewable like code.
- An evaluation set built from your real cases, with the pass rate before and after.
- Guardrails: input validation, output checks, and a human approval step where a wrong answer is expensive.
- Per-feature logging and token-cost visibility, so the monthly bill is never a surprise.
- API keys and data in your accounts, under your billing, from day one.
- Handover session plus a runbook for the failure modes we found while building.
Everything above is yours: code, files and accounts are assigned to you and delivered in your repository. You could replace us tomorrow and still ship.
How we build it.
Five steps. The first three cost nothing, and the third is the one that decides everything.
Meet
FREEA 20-minute call. You describe the problem; we ask the questions that matter.
Consult
FREEFeasibility, approach, and an honest effort estimate — from an engineer, not a sales rep.
Demo
FREEWe build a working demo of your idea, so you see how we work before you commit.
What the free demo looks like herePick the workflow that hurts most — a folder of your documents, a week of your support tickets, the form your team retypes — and we build a working automation on that real slice, then put its output side by side with what your team produces today.
Build
You liked the demo. We scope it, quote it, and build it.
Ship & support
Deployment, handover, and support after launch.
You pay only when you say 'build it'.
What the work is done in.
Grouped by where each tool sits in the build. Labels, not a logo wall.
- STK-01
Models
- OpenAI
- Anthropic Claude
- Google Gemini
- open-weight models (Llama, Qwen, Mistral)
- STK-02
Orchestration
- LangChain
- LlamaIndex
- Model Context Protocol (MCP)
- direct SDK calls where a framework only adds weight
- STK-03
Retrieval & data
- PostgreSQL + pgvector
- Qdrant
- document parsing (PDF, DOCX, XLSX, scans)
- chunking and citation pipelines
- STK-04
Automation & glue
- Python
- TypeScript
- n8n
- Zapier / Make
- REST and webhook integrations
- STK-05
Run & observe
- Docker
- your cloud or on-premise
- Langfuse
- Sentry
- scheduled jobs and queues
Work in this service.
Your project could be the flagship here — and it starts free.
We publish a case study only once the client has approved what it says and the numbers in it are ours to show. For AI Tool Integration & Automation that shelf is still empty — and we would rather show you nothing than show you somebody else's screenshot. The free demo is how the first one gets written.
Questions that decide whether a project starts.
Cost, timeline, ownership, what happens after delivery — and exactly what the free demo includes for this service.