AI & Automation Readiness
Most organisations know AI is being used.
Few can explain where it is being used, what data it accesses, who approved it, or who remains accountable when something goes wrong.
AI Visibility Starts With The Right Questions
Before organisations can govern AI, they need a clearer view of where AI and automation are being used, what data is involved, and who remains accountable.
AI Usage
Which AI tools are being used, by whom, and for what business purposes?
Data Exposure
What data is being shared, processed, or exposed through AI and automation tools?
Accountability
Who approves AI use, reviews risks, and remains accountable when problems arise?
Common AI Governance Blind Spots
Many organisations know AI is being used but struggle to explain where, how, and under whose authority. These gaps often become visible only after an incident, audit, customer complaint, or management review.
Unapproved AI
Staff use AI tools without formal review, documentation, or oversight.
Unknown Data Flows
Data enters AI systems but organisations cannot explain where it goes or how it is used.
Unclear Ownership
When AI creates a problem, accountability is often assumed rather than assigned.
What 2iB Helps Organisations Build
Practical visibility, accountability, and governance for AI and automation activities.
AI Inventory
Identify AI tools in use, their business purpose, and who is responsible for them.
AI Governance Record
Document approvals, reviews, data exposure, and accountability for AI-assisted activities.
Management Visibility
Highlight risks, escalate concerns, and support informed decisions before problems arise.
How 2iB Approaches AI & Automation Readiness
The objective is not to stop AI use. It is to make AI activity visible, reviewable, and accountable before it becomes a management problem.
Identify
Map where AI is being used
Review
Assess data and risks
Govern
Assign ownership
Monitor
Maintain oversight
Ready To Understand Your AI Landscape?
Identify where AI is being used, what data may be exposed, and where governance accountability should be strengthened.
The first step is not governance frameworks. It is visibility into AI use, data exposure, and accountability.