Bring AI inside. Keep your data from leaving.
We deploy the model on your own server, build agents that talk to your documents and systems, and deliver it working inside daily operations.
Deploying AI is easy; deploying it securely, lawfully and sustainably is a different expertise. At SaemLog, enterprise AI projects are designed at the same table as the information security architecture: data flows, access control and retention periods are defined from the start.
First we measure where time and money are being lost; then we build at that exact point. Not a slide deck — a working system.
Enterprise AI
Secure question-answering over your documents, procedures and records; answers that cite their sources.
Agents that run pre-qualification, scheduling, WhatsApp and e-mail flows; humans step in only at the meeting stage.
Automation of repetitive work with n8n and API integrations; connected to ERP and CRM.
An analysis of which work can be handed to AI and what it returns; priority list and budget.
An in-house alternative and usage policy that stops staff pasting company data into external AI tools.
Team training, acceptance tests and early-phase monitoring.
We proceed in four steps.
Diagnosis
Processes, data and security posture are examined together.
Architecture
Model, hardware, integration and access design.
Deployment
On-site installation, integrations, acceptance tests.
Partnership
Monthly monitoring, improvement, new modules.
Frequently asked questions
Does our data go to the cloud?
What hardware is needed?
Is this a product or a project?
How long does it take?
Diagnosis first. Then a proposal.
We start with a forty-five-minute call. Your freight or your data — let's see together what is actually needed; a proposal comes only after that.