Solution Brief
AI Readiness & Governance
Decide where AI is worth doing before you invest. Get an evidence-based readiness picture, practical governance and a roadmap leadership can act on.
LABUSA provides the work that comes before the software. An evidence-based readiness assessment shows where AI could create value and whether your data, infrastructure, security and workforce can support it. Practical governance and risk assessment follow, with a prioritized adoption roadmap your leadership can examine and act on.
Solution highlights
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Readiness Assessment
An evidence-based review of your data, technology, security and people.
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Practical Governance
Clear ownership, policy and an approval route staff can actually use.
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Risk Assessment
Business, security, privacy and vendor risk assessed for each initiative.
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Adoption Roadmap
Prioritized use cases with owners, investments and decision gates.
How it works
Solution at a glance
Text description of this infographic
A five-step workflow, read left to right. First, Discover: AI already in use. Second, Assess: interviews and evidence. Third, Identify: use cases from real problems. Fourth, Prioritize: value, feasibility, what waits. This step is highlighted as the point where people decide. Fifth, Recommend: owners and order. Underneath, AI governance: governance framework, risk assessment and adoption roadmap.
The Business Challenge
AI is already here. Nobody decided how to use it.
AI initiatives rarely stall because the wrong product was chosen. They stall because the groundwork was never in place, and nobody checked before the money was committed. Common signs:
- Staff using public AI tools with no approved route
- Nobody empowered to approve or refuse a tool
- Data spread across systems and inconsistently permissioned
- Risks nobody has assessed or owns
- Pilots that run on with no agreed measure of success
The LABUSA Solution
A clear, defensible path to AI adoption.
LABUSA works from your environment rather than a generic maturity model, checking interviews and documents against system evidence. The method is informed by recognized frameworks such as the NIST AI Risk Management Framework. LABUSA is vendor neutral and is not a certification body, and the assessment is not a penetration test, a certification audit or a finding of regulatory compliance. Where an initiative should wait, LABUSA will say so.
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AI Readiness Assessment
A review across seven dimensions, from strategy and data to cybersecurity, governance and workforce.
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Governance Framework
Accountability, an inventory of AI in use, policy, vendor management and human oversight, sized to you.
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Risk Assessment
Use-case risk assessment, including AI vendor risk, with a risk register for each initiative.
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Adoption Roadmap
Use cases ranked on value and feasibility, with a six to twelve month roadmap and decision gates.
How LABUSA delivers
From strategy to ongoing support.
A typical engagement follows these stages, scoped to what you need. Each stage ends in a decision, including the decision to stop.
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Discovery & Assessment
Interview leadership and stakeholders, and review your technology, data and current AI use. -
Solution Design
Turn the findings into a readiness score, governance structure, risk register and prioritized roadmap. -
Validation & Handover
Brief leadership on the findings, run governance workshops and hand over documents you own. -
Ongoing Management
Where contracted, support governance implementation and reassess as tools and vendors change.
The Results
Expected Business Outcomes
A readiness and governance engagement helps you:
- Start with AI uses worth pursuing
- See honestly where your organization stands
- Give AI decisions a named owner
- Understand and reduce the risk of each initiative
- Present a plan leadership can defend