Title goes here
We help organisations use AI safely, build internal capability and put the right controls in place before unmanaged AI use becomes a business risk.
What is AI Control
& Enablement?
AI is already entering most businesses through employees, tools, vendors and internal experiments. The challenge is making sure it creates value without introducing uncontrolled risk.
AI Control & Enablement helps organisations understand where they are today, define what safe AI use looks like, create the right foundations, and give teams the confidence to use AI properly in real work.
This is not about slowing AI down. It is about making sure AI adoption is controlled, useful and commercially safe.
WHAT YOU GET
A structured assessment of your organisation's AI readiness, risk exposure, capability, opportunities and practical next steps.
This is for leadership teams asking: Are we ready for AI, where are the risks, and what should we do next?
- Current-state AI readiness assessment
- Review of risks, gaps and control weaknesses
- Identification of practical AI opportunities
- Prioritised recommendations
- Clear action plan for governance, adoption and delivery
AI Readiness
The technical environment and delivery process that allows internal AI tools to be built, tested, deployed and supported safely.
This is for organisations where developers, analysts or internal teams are starting to build AI tools and the business needs confidence that the work is structured, controlled and supportable.
- Repositories and source control standards
- CI/CD pipelines
- Development, test and production environment
- Code review and release processes
- Logging, monitoring and auditability
- Technical guardrails
- Access controls and secrets management
- Supportable deployment and handover process
From Day One
Helping teams use approved AI tools properly in their day-to-day roles, rather than leaving adoption to chance.
This is for organisations that have bought tools like Copilot, ChatGPT Enterprise or other AI platforms but are not yet seeing consistent, practical usage across the business.
- Role-based AI training
- Practical workshops based on real workflow
- Usage playbooks and prompt guidance
- Adoption plans and internal champions
- Usage monitoring and feedback loops
- Continuous improvement support
Into Real Adoption
The policies, responsibilities, controls and oversight required to manage AI safely across the organisation.
This is for organisations asking: What tools can people use, what data can they put into them, who approves use cases, and how do we manage AI risk without blocking useful adoption?
- AI usage policies
- Approved tooling guidance
- Data handling rules
- Risk classification for AI use cases
- Accountability and ownership model
- Review and approval process
- Monitoring and compliance controls
- Vendor and tool assessment support
Without Blocking Progress
An assessment of whether an individual or team has the skills, judgement and delivery capability to design, build, govern and support AI tools safely.
This is useful where a business is hiring AI talent or building an internal AI function and wants independent assurance before relying on that capability.
Can Deliver AI Safely
Are you in control of how AI is being used across your business?
