On-premises
Deploy within your own environment, with access and operations designed around your requirements.
Secure AI Deployment & Integration
AI deployed where your business needs it.
Private AI models, deployed on your premises or in your organisation-managed cloud and connected to your data and tools.
Discuss your deploymentConfigured with access controls and approval steps.
The environment that fits
On your premises. Or in your cloud.
Your cloud
Use cloud infrastructure managed by your organisation, with the same attention to access and control.
We help you choose around data policies, existing systems and operational needs.
Built around your operations
A deployment your team can actually use.
From model selection to a working business workflow.
Model evaluation
Assess task fit, licensing, quality and operating cost, including efficient open-source options.
Data & tool integration
Connect approved information and existing business systems.
Workflow configuration
Set up tasks, access boundaries and approval steps.
Testing, training & handover
Evaluate real work, prepare your team and plan ongoing operations.
AI Governance & Control
Set the boundaries for how AI accesses information and performs tasks.
Permissions
Define what information and tools each user or workflow can use.
Approval steps
Review important actions before they proceed.
Activity records
Record requests, actions and approval outcomes with agreed retention.
A workflow we can build
Turn incoming requests into review-ready replies.
A business email workflow, configured around your rules.
- 1
Receive email
- 2
Classify request
- 3
Find approved context
- 4
Draft a reply
- 5
Human approval
Only approved sources and configured actions are available to the workflow.
Delivery
Start focused. Test it in real work.
- 01
Discover
Choose a workflow and agree success measures.
- 02
Pilot & evaluate
Test useful results, quality and controls.
- 03
Deploy & support
Launch, train and maintain.
Start with a useful scope and agreed success measures. Test before expanding.
A few practical questions.
Will this replace our existing systems?
Usually, we integrate with the tools your team already uses. We review supported APIs, permissions and workflows first.
Do we need our own servers?
Not necessarily. Organisation-managed cloud may be suitable. We assess hardware, data policies and operational needs with you.
Can we start with one workflow?
Yes. A focused starting point makes evaluation clearer before expanding.
Does private deployment make AI infallible?
No. Model evaluation, access controls and human review are still needed. Deployment choices and controls are assessed for your environment.
Related services
Let’s plan your private AI deployment.
Start with your workflow, information and infrastructure.
Discuss your deployment