AI Governance
AI governance that gives teams control without slowing useful work.
Governance lets people use AI freely within boundaries everyone understands. We help you put practical guardrails in place that protect the business and still let it move.
Who it is for
Built for leaders who need measurable progress.
- CIOs and CISOs accountable for safe AI use
- Legal, risk and compliance leaders setting policy
- CEOs who want adoption without exposure
- Operations leaders managing tools across many teams
- Organisations in regulated or data-sensitive sectors
Common problems
The challenges we are brought in to solve.
01
Shadow AI
Staff already use tools the organisation has not approved, often with company data, and leadership has no sight of it.
02
Data leakage
Sensitive or confidential information goes into tools without clear rules on what is and is not acceptable.
03
No tool approval route
Teams want to adopt new tools, but there is no agreed way to assess and sign them off, so they stall or go around the process.
04
Absent or ignored policy
Either no AI policy exists, or one was written and filed away in language nobody reads or applies.
05
Unclear accountability
When AI is involved in a decision or output, it is not clear who is responsible or what level of human review applies.
What PUSH delivers
Practical work tied to commercial outcomes.
01
A practical usage policy
A clear, readable policy that tells people what they can do, what they cannot, and why, in language that gets used rather than filed.
02
Risk tiers
A simple framework that classifies use cases and data by sensitivity, so controls match risk rather than blocking everything equally.
03
A tool approval process
A lightweight route to assess and approve new tools quickly, so teams adopt safely instead of working around the rules.
04
Human-in-the-loop controls
Clear rules on where human review is required, so accountability for AI-influenced decisions is never ambiguous.
05
Visibility of shadow AI
A practical way to surface unsanctioned usage and bring it into a managed, sanctioned approach.
Capabilities
What we build and enable.
01
Shadow AI discovery
Understanding what tools are already in use across the business and where the real exposure sits.
02
Data handling rules
Clear guidance on what data may be used with which tools, preventing leakage of sensitive information.
03
Tool approval framework
A fast, repeatable way to assess and sign off new tools against security and data criteria.
04
Risk tiering
Classifying use cases by sensitivity so oversight is proportionate rather than blanket.
05
Human oversight controls
Defining where review and sign-off are mandatory and who holds accountability.
Deliverables
What you receive.
- AI acceptable-use policy
- Risk tiering framework
- Approved-tool register and approval process
- Data handling guidelines
- Human-in-the-loop control map
- Shadow AI findings summary
- Roll-out and communication plan
Process
How we work.
Assess
We establish what tools and practices already exist, where data is exposed and what your regulatory context requires.
Frame
We define risk tiers and the principles that guide policy, balancing protection against the need to keep moving.
Draft
We write a usage policy, approval process and oversight controls in plain language that people will actually follow.
Roll out
We help you communicate and embed the framework, so it becomes part of how teams work rather than a document on a shelf.
Considerations
Governance considerations
Governance should enable, not obstruct. The most common failure is a policy so cautious that people ignore it and revert to shadow tools. We design controls proportionate to risk, so low-sensitivity work stays fast and only genuinely sensitive activity attracts heavier oversight.
Policy only works if it is readable and owned. We write in plain language, assign clear ownership and build a route for teams to ask questions and request new tools, so the framework stays alive and trusted rather than becoming a one-off document.
Regulatory and sector context shapes everything. Requirements differ sharply between industries and data types. We account for your obligations from the outset and keep the framework adaptable as regulation and the tools themselves keep changing.
Related solutions
Where this work delivers most.
Related services
Go deeper where it counts.
FAQs
Common questions.
Will governance stop our teams using AI?
We already have shadow AI in use. Is that a problem?
Do you cover regulated industries?
PUSH AI Consultancy is part of PUSH, an award-winning performance agency recognised by Google and Microsoft.