On-premise AI vs cloud AI: what actually changes for your data
Where the processing happens, who runs the machine, and what stays connected either way.
Read the guideGuides
Guides to on-premise company AI.
Plain answers to the questions companies ask before they put AI on their own premises.
What does on-premise AI cost per person?
A worked example from the Seesa pricing page: what is included, and why every price is indicative.
Read the guideHow long does it take to install AI on your own premises?
The four stages from agreement to a working installation, and what affects the timing.
Read the guideCompany memory explained: how AI answers from your own records
What company memory is, how an answer gets built from it and why permissions matter.
Read the guidePrivate AI vs Microsoft Copilot and ChatGPT Enterprise
Where the AI runs and who runs it: a plain comparison, and when each approach fits.
Read the guideAI for accountancy practices without sending client data to the cloud
Client records, prepared follow-ups and recurring work, with your team still responsible for advice and filings.
Read the guideAI for property management: certificates, arrears and renewals
Keeping the context around every property, and a prepared next step, with decisions left to your team.
Read the guideAI for insurance brokers: renewals and claims, with advice left to you
Renewal history, claims correspondence and follow-ups prepared by Seesa; advice and decisions stay with your people.
Read the guideWhat hardware do you need to run AI in-house?
GPUs, memory and storage in plain terms, what decides the size, and how Seesa approaches it.
Read the guideAI agents that ask before they act: approvals and permissions
Access that follows the person, actions that follow your rules, and a person at the decision point.
Read the guideWhat would you put Seesa to work on?
Tell us about your team, your systems and the work you would like Seesa to take on.