Define approved tools, use cases and data-handling rules
Reduce repetitive work and make the process more consistent.
Strategy / Leadership
AI Governance & Readiness
Create practical controls for responsible AI adoption.
Independent specialist matchingIndicative project range: €10k–€50k+
THE OPPORTUNITY
What is AI Governance & Readiness?
Plan AI adoption with attention to security, privacy and human oversight. Create practical controls for responsible AI adoption. The scope depends on your current systems, the quality of available data and the outcome you need to achieve.
Instead of starting with a specific tool, the first step is understanding your current process, the people involved and the systems that need to work together.
Who is this for?
Risk, legal, security and operations teams defining responsible AI use
When does it make sense?Best fit when AI usage is growing and responsibilities, controls and risk appetite need alignment.
DOES THIS SOUND FAMILIAR?01 02 03
Where businesses get stuck
Employees use AI tools without consistent rules for confidential data, approval and output review.
Employees are already using AI tools, but the organization has inconsistent rules about sensitive data, approvals and checking AI-generated output.
What you can solve
Explore common challenges this service is designed to address.
Establish human oversight for consequential decisions
Connect information and workflows across relevant teams.
Create vendor assessment, evaluation and incident processes
Improve visibility, controls and the quality of day-to-day execution.
FROM CHALLENGE TO WORKFLOW
How the solution works
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An organization defines which data may enter AI tools, when human review is mandatory and how AI-related incidents are reported and investigated.
The exact solution depends on your existing systems, data and operational requirements.
BUSINESS VALUE
How it can help your organization
Relevant business outcome
Define approved tools, use cases and data-handling rules.
Practical delivery
Best fit when AI usage is growing and responsibilities, controls and risk appetite need alignment.
Measures worth tracking
Policy adoption; approved use cases; review and incident coverage.
EXPERT MATCHING
What expertise should your project team have?
Different AI projects need different skills. perivaro reviews your business challenge, current systems and desired outcome before identifying the relevant type of independent specialist.
Likely project focus
Risk, legal, security and operations teams defining responsible AI use
What to measurePolicy adoption; approved use cases; review and incident coverage
How matching worksShare your requirements in plain language. A proposed specialist is only confirmed after an individual review of suitability and availability.
SCOPE & DELIVERABLES
What a project may include
- Risk and policy assessment
- Operating controls and responsibilities
- Monitoring and review process
Final deliverables, timeline and pricing are agreed with the proposed specialist after a review of your requirements.
BEFORE YOU START
What a specialist will need to know
- Your current process, tools and key stakeholders
- The business outcome you want to achieve
- Available data, integrations and security requirements
- Indicative budget, timeline and success criteria
FREQUENTLY ASKED QUESTIONS
Questions about AI Governance & Readiness
Is AI Governance & Readiness the right solution for my company?
Best fit when AI usage is growing and responsibilities, controls and risk appetite need alignment. If you are unsure, describe the underlying problem rather than choosing a technology.
Which KPIs should we track?
Relevant measures include Policy adoption; approved use cases; review and incident coverage. The exact baseline and success criteria should be agreed before work starts.
How much does this service cost?
The indicative range shown for this category is €10k–€50k+. Pricing is not a fixed offer; it depends on the project scope, integrations, data readiness and delivery requirements.
Can you help define my requirements?
Yes. You can describe your challenge in plain language. We review the request and help identify the relevant specialist expertise before a proposal is prepared.
Who will deliver the project?
Most projects are delivered by independent specialists or implementation partners. An individual specialist is only proposed after availability and fit have been reviewed.
How do I get a tailored quote?
Use the project discovery form to describe your goals and provide contact information. A tailored proposal requires a manual project review.
What should we prepare before a discovery call?
A short description of the current process, relevant tools, the people involved and the outcome you want is enough to begin. Screenshots, workflow diagrams or sample documents can help, but avoid submitting sensitive information through the initial form.
Will this work with our existing software?
Compatibility depends on your software, available APIs, data permissions and security requirements. Integration feasibility is reviewed during scoping, rather than assumed in advance.
How do we measure whether the project succeeds?
Define a baseline and agree on relevant indicators such as processing time, manual effort, error rates, response quality or AI visibility. Not every benefit is guaranteed, and results need to be measured after implementation.
How long does an implementation usually take?
Timing depends on the scope, data quality, approvals and integrations. A limited pilot may be substantially quicker than a multi-system rollout. The delivery partner provides a timeline after assessing the requirements.
Who owns the solution and ongoing support?
Ownership of deliverables, intellectual property, software licenses, hosting and support should be agreed in writing with the delivery partner before work begins. perivaro does not automatically become the implementation provider.
NEXT STEP
Have a project in mind?
Describe your challenge. We'll help clarify the scope and review suitable expertise.
Start project discovery →No commitment to purchase. Your requirements are reviewed before a specialist is proposed.