Information kept on-site
Your workflow needs approved documents or processing to stay within a defined local environment.
AI setup · local
Run AI on your own hardware.
Set up a local language model and the workflow around it on a workstation or server your organization controls.
When local is worth considering
Limited connectivity
Your team needs selected tasks to work without dependable Internet access. External integrations may still require a connection.
Existing local systems
The assistant needs to work with files, databases or applications already on your network.
What I help set up
- Hardware and model selection based on your actual tasks and number of users
- Approved document search and connections to existing tools
- User access, review steps and clearly defined data boundaries
- Tests for answer quality, response time and failure handling
- Backup, update and recovery procedures
- Team training and documentation for day-to-day use
Test the fit before buying hardware
Local models vary in capability and hardware needs. Compare the quality, speed and full cost of a representative workflow before committing to a machine. Include model licensing, electricity, maintenance and replacement costs.
Know who maintains it
Agree on who owns the machine and accounts, installs updates, handles backups and provides support. Optional managed support has defined access, hours and responsibilities. Local AI remains separate from safety-critical operational control.
Compare the whole office workflow
The model location is one part of the decision. Compare document access, unavailable services, ownership and support for the same employee task.
Local vs hosted AI assistants
Use a synthetic office example and six acceptance checks before choosing where the assistant runs.
Use the deployment checklistA practical next step
Bring the workflow that keeps causing friction.
Start with a free 30-minute conversation about one task, question or idea.