Private AI Deployment

Your AI. Your Data. Your Control.

Public AI tools are convenient - until you're locked in, leaking data, or stuck with features you can't customise. Private AI deployment gives you the benefits without the traps.

The Traps

What's Wrong With Public AI

The convenience comes at a cost most businesses don't see until it's too late.

Vendor lock-in

Early wins become long-term chains. Switching costs grow every month. Your features depend on someone else's roadmap.

Data exposure

Your proprietary data training someone else's models. Conversations, documents, and insights flowing to third parties.

One-size-fits-all

Generic models that don't understand your business, your terminology, your workflows, or your compliance requirements.

The Alternative

What Private AI Gives You

Infrastructure you control

AI models deployed on your cloud, your servers, or a private environment we manage for you.

Custom models

Models trained on your data that understand your business - and that data stays yours.

Predictable costs

No per-query pricing that scales unpredictably. Know your costs upfront.

Freedom to change

Switch providers, customise, or extend without asking permission or paying migration fees.

Process

How We Work

Start with consulting. Only build what you actually need.

1

Consult

Understand your needs, data, compliance requirements, and existing infrastructure.

2

Architect

Design the right solution - cloud, on-prem, or hybrid - with no unnecessary complexity.

3

Implement

Deploy, configure, and integrate with your existing systems.

4

Support

Ongoing management, optimisation, and updates. Or full handover if you prefer independence.

Use Cases

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"

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
FAQ

Frequently Asked Questions

  • What does "private AI" actually mean?

    It means AI models that run on infrastructure you control - not shared servers where your data might be used to train other models or be accessed by the provider. Your queries, documents, and data stay within your environment.

  • 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.

  • 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.

  • 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.

  • What about ongoing costs?

    You'll have infrastructure costs (compute, storage) but no per-query fees. For most organisations, this works out cheaper than API-based pricing at scale, with the added benefit of data control.

  • 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.