Your AI. Your Data. Your Control.
Private AI is for services where data simply cannot be shared - or where the risk of it being shared inadvertently is too high. Access controls, business-specific knowledge and documented data flows, matched to your requirements.
Why Public AI Isn't an Option
For some businesses, the risk of data being shared - even inadvertently - is simply too high.
Data that simply cannot be shared
Some data is too sensitive to risk. Patient records, financial data, legal documents - the consequences of a breach aren't just inconvenient, they're catastrophic.
No visibility into who's doing what
Visibility depends on the provider, plan and configuration. We identify gaps in logging, permissions and data handling before choosing the deployment.
Generic tools that waste time
Your team spends hours briefing AI on context it should already know - your processes, your terminology, your way of working. Every session starts from scratch.
What Private AI Gives You
Control over how your AI is deployed, accessed and maintained.
Full observability and control
We configure access controls and audit logging around your requirements, so your team can review AI usage and investigate unusual activity. Available controls depend on the agreed deployment.
Models customised to your business
We connect relevant business knowledge and workflows through retrieval, configuration or model training where appropriate. We test the result against your actual tasks before rollout.
Clear data boundaries
We can deploy on local infrastructure or a private cloud. We document where data is processed and which suppliers are involved. External AI APIs are used only where agreed as part of the design.
How It Works
From first conversation to a private AI system designed around your data and infrastructure.
Consult
Understand your needs, data, compliance requirements, and existing infrastructure.
Architect
Design the right solution - cloud, on-prem, or hybrid - with no unnecessary complexity.
Implement
Deploy, configure, and integrate with your existing systems.
Support
Ongoing management, optimisation, and updates. Or full handover if you prefer independence.
What It Looks Like in Practice
Real examples of what your team could say to your private AI.
Healthcare
Patient data that never leaves your control
Clinical Director
- "Show me patients who missed their last two appointments"
- "Which wards are over capacity this week?"
- "Summarise the incident reports from the last month"
Nurse / Clinician
- "Pull up the care plan for Mrs Johnson in Room 12"
- "What medications is this patient allergic to?"
- "Log that I've completed the morning observations"
Finance
Sensitive financial data stays in-house
Finance Director
- "Show me our cash position across all accounts"
- "Which clients have outstanding invoices over 60 days?"
- "Compare this quarter's expenses to last year"
Accountant / Analyst
- "Reconcile these bank transactions with our ledger"
- "Flag any expenses that look unusual this month"
- "Generate the VAT report for Q3"
Legal
Client confidentiality without compromise
Managing Partner
- "Which matters are at risk of missing deadlines?"
- "Show me billable hours by associate this month"
- "What's our exposure on the Henderson case?"
Solicitor / Paralegal
- "Find all documents mentioning the lease termination clause"
- "Summarise the key terms in this 80-page contract"
- "What precedents do we have for this type of dispute?"
Insurance
Claims and customer data protected
Claims Manager
- "Show me claims that have been open more than 30 days"
- "Which adjusters have the highest settlement rates?"
- "Flag claims that might be fraudulent"
Claims Handler
- "Summarise this customer's claim history"
- "What's the policy limit on this coverage?"
- "Draft a response to this complaint"
Manufacturing
Proprietary processes stay proprietary
Operations Director
- "Which production lines are running below target?"
- "Show me quality issues from the last week"
- "What's our current inventory of raw materials?"
Production Manager
- "Log a defect on batch 4521"
- "What's the setup procedure for the new product line?"
- "Show me the maintenance schedule for Machine 7"
Professional Services
Client data across engagements secured
Managing Director
- "Which projects are over budget?"
- "Show me utilisation rates by team"
- "What proposals are pending client approval?"
Consultant
- "Find similar projects we've done for retail clients"
- "Summarise the research from last week's interviews"
- "What templates do we have for strategy presentations?"
Care Homes
Resident records and family communications protected
Care Home Manager
- "Which residents have family visits scheduled this week?"
- "Show me staff rotas for the next fortnight"
- "Are there any medication reviews due?"
Care Worker
- "What are Mr Davies' dietary requirements?"
- "Log that Dorothy had a fall at 3pm"
- "Show me today's activity schedule"
Already Using Public AI Tools?
If you're integrating AI features into existing apps and data security is a concern, we can help you do it safely - even without full private deployment.
Learn about AI Integration
Frequently Asked Questions
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What does "private AI" actually mean?
Private AI is a deployment designed around your access and data-handling requirements, on infrastructure you control or in an agreed private cloud. Hosting providers may still process data; supplier access, retention and external connections are documented before rollout.
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Is this only for large enterprises?
No. Mid-market companies with 50+ employees often have data sensitivity requirements that make private AI worthwhile. The cost has come down significantly - it's no longer just for Fortune 500 companies.
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Can we use our existing cloud provider?
Usually yes. We can deploy on AWS, Azure, Google Cloud, or on-premises infrastructure. We work with what you have rather than forcing a specific platform.
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How long does deployment take?
A basic private deployment can be running in 2-4 weeks. Custom model training and deep integration with existing systems typically takes 2-3 months. We always start with consulting to scope it properly.
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What about ongoing costs?
Budget for compute, storage, maintenance and any metered services in the chosen design. We compare expected usage and operating costs before recommending a private deployment.
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Do we need technical staff to manage it?
Not necessarily. We offer ongoing managed services where we handle updates, monitoring, and optimisation. Alternatively, we can train your team and hand over fully.
Not Sure What You Need?
Start with a consultation. We'll help you understand your options and what makes sense for your business - no commitment required.
