Private & Secure AI
What are the deployment options for private AI in the UK?
The short answer
UK businesses have three practical private AI deployment options: a dedicated UK-hosted cloud environment, an on-premises model and retrieval layer, or a hybrid design that keeps sensitive sources inside the network while approved extracts use a managed model. UK-hosted cloud is usually the fastest and least expensive; on-premises gives the tightest boundary but brings hardware and operating responsibility; hybrid is useful when information classes need different controls.
Indicative price ranges
UK-hosted private cloud
£8,000–£25,000
Controlled gateway, identity, permission-aware retrieval, logging and managed infrastructure.
Hybrid
£15,000–£40,000
Local connectors or retrieval with managed model use for approved extracts.
On-premises
£30,000–£80,000+
Local model infrastructure, retrieval, monitoring and operational handover.
These are indicative UK ranges based on projects we have actually delivered. Scope drives the number, not the sales conversation — we quote a fixed price after a scoping session, and we will tell you if an off-the-shelf tool is the cheaper answer.
Typical timescales
- 1–2 weeks
Data and governance design
Classify sources, users, data flows, retention and assurance needs.
- 2–6 weeks
Pilot
Prove retrieval, refusals, permissions and logs on limited sources.
- 2–8 weeks
Rollout
Expand approved sources and user groups with monitoring.
Who this suits
- UK-hosted: most SMEs needing control without operating model infrastructure.
- Hybrid: mixed information classes and existing private networks.
- On-premises: contractual boundaries that prohibit external processing.
Who it does not suit
- On-premises where nobody can operate the infrastructure.
- A cloud default chosen without reviewing provider retention and transfer terms.
- Any deployment without source owners and a pilot success measure.
What actually drives the cost
Information classification
Different classes may need different processing boundaries.
Model operation
Running local models requires capacity, monitoring and updates.
Identity and permissions
Document-level access is essential and technically demanding.
Assurance
DPIAs, contracts, testing and sector requirements add legitimate work.
Private describes controls, not a logo
A system is not private merely because it has a login. Buyers should ask where source documents live, what content reaches the model, whether it is retained, how existing permissions are enforced and what is logged.
For most SMEs, UK-hosted private cloud is the pragmatic starting point. On-premises can be justified by contracts or information sensitivity, but the operational burden is real. Hybrid avoids treating every document as if it has the same risk.
See how companies can use AI without sharing confidential information and UK-hosted AI and GDPR for the governance questions behind the architecture.
Common questions
Does private AI mean no data leaves our network?
Only in a correctly designed on-premises deployment. Cloud and hybrid systems may send a permission-filtered extract to a provider under defined retention and transfer terms.
Is UK hosting enough for GDPR?
No. Hosting location is one control; lawful basis, minimisation, contracts, retention, access and individual rights still matter.
Which option should an SME start with?
Usually a limited UK-hosted pilot, unless a contract or information classification requires a stricter boundary.