Enterprise AI Factory

Scale AI use without losing control of it.

AI use is spreading through your organisation faster than governance, security, or delivery capacity can keep up: pilots multiply with no route to production, data and model access sit outside existing controls, and nobody can tell your board what AI is actually doing inside the business. We build the capability to industrialise AI safely: a secure foundation, a delivery process that takes use cases from discovery to production, operations once they are live, and the governance that keeps human oversight and accountability in place throughout. We advise independently of model and cloud providers.

When you need this

You need this when AI stops being someone's side project.

  • Pilots are multiplying across teams with no route to production and no owner tracking what each one costs or risks
  • A model or agent is already in production, and nobody can say how it is monitored, evaluated, or kept within budget
  • Your board or a regulator has asked what AI risk classification applies, and there is no answer ready
  • Data or model access for AI use sits outside your existing identity and access controls
  • An AI use case needs a human oversight and approval gate before it can go further, and none exists yet
What this covers

Runway, delivery, operations, and governance, each accountable to a named owner.

AI Runway

You are standing up AI capability on foundations that were not designed to carry it, and data access, model access, and guardrails are improvised project by project.

A secure foundation for AI use: identity and access management, data access controls, a model catalogue, guardrails, and logging, independent of cloud or model provider.

AI Factory

Promising pilots stall before they reach something your business can actually run, because no defined process takes them from idea to production.

A delivery process that discovers, assesses, builds, and deploys AI use cases, with senior oversight at each gate, so a use case either reaches production or is stopped early for a defensible reason.

AI Operations

AI use cases that reach production are rarely monitored, evaluated, or cost-managed the way the rest of your estate is.

Monitoring, evaluation, cost management, and lifecycle management for models and agents already in production, with security and continuous improvement built in rather than added later.

AI Governance

AI use is spreading ahead of any accountability for it: who approved it, what risk it carries, and who is responsible when it goes wrong.

Risk classification against the AI Act, policies, human oversight arrangements, and the assurance and approval gates that give your organisation accountability for AI use.

Where to start

Start with what AI is already doing in your organisation.

A clearly bounded engagement producing findings your board, risk, and delivery teams can act on immediately.

Fixed scope

AI Readiness and Governance Review

Establishes where AI use already exists across your organisation, including use nobody formally approved, what foundation and governance it is missing, and what to build first to industrialise it safely.

What you receive
  • Inventory of AI use already live or in pilot, including shadow use
  • Gaps against a secure foundation, risk classification, and human oversight requirements
  • Approval gate design for the use cases already in flight
  • Prioritised roadmap across foundation, delivery, operations, and governance
Request an AI readiness review
Common questions

Frequently asked questions.

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