Private Knowledge Assistant
Search policies, procedures, client notes and project history through a controlled RAG layer, with citations back to source material.
Private AI · RAG · Automation · Data Sovereignty
Private AI and automation for SMEs.
Build useful AI systems around your own documents, processes and operating knowledge, without spraying sensitive data into public tools. Designed by an endpoint and infrastructure consultant who understands governance, identity and real-world delivery.
Self-hosted LLMs
RAG knowledge bases
n8n workflows
Secure handover
What can be built
AI that fits the way your business already works.
The focus is practical: reduce admin, surface knowledge faster, and connect repetitive workflows while keeping ownership of your data and infrastructure.
Workflow Automation
Use n8n-style automations to route enquiries, summarise intake, update trackers, trigger reminders and reduce manual handoffs.
Secure AI Infrastructure
Deploy self-hosted models, role-based access, backups, monitoring and documentation so the system can be operated responsibly.
Delivery approach
From idea to working system.
01
Assess
Review the business process, data sources, security boundaries and what success should look like.
02
Build
Prototype the smallest useful workflow, connect documents or systems, and validate outputs with real examples.
03
Handover
Document the architecture, train users, define support routines and leave the system maintainable.
Why T4
Endpoint, automation and private AI in one stack.
Private AI is not just prompts. It touches identity, devices, networks, storage, backup, logging and operational risk. T4 Digital Futures brings that enterprise delivery discipline into SME-scale systems.
Enterprise background
Delivery history across government, defence, banking and regulated environments.
Hands-on infrastructure
Experience with self-hosted AI stacks, local models, automation tooling and secure knowledge ingestion.
Direct consultant access
No agency layer. You work directly with the person designing and implementing the system.
Get in touch
Start with a clear AI use case.
Send a short brief with the workflow, documents or repetitive task you want to improve. You will get an honest view of what is feasible, useful and worth building.