Business · 10 March 2026
AI in Business
For business leaders and professionals
At askKira, we provide secure, personalised enterprise AI for UK businesses. Our platform prevents data leaks, protects IP and client data, and gives your teams AI-powered tools at a fraction of the cost of other enterprise solutions.
This week's roundup brings you the latest AI developments that matter for UK organisations.
Shadow AI & Data Security
Shadow AI Leaks Intellectual Property Through Public Models
Employees are increasingly using unapproved AI tools to summarise meetings and draft emails, inadvertently exposing confidential client data and proprietary code. Because AI models learn from inputs, sensitive information can be retained and inferred by public systems.
Why it matters: UK organisations must urgently audit unapproved AI usage to prevent accidental breaches of UK GDPR and the loss of intellectual property.
Read the source on LinkedIn →Moving From Shadow AI To Governed Enterprise Usage
With 90% of enterprise AI usage occurring without IT oversight, experts recommend establishing a 'safe harbour' list of approved tools rather than outright bans. Implementing AI security posture management helps mask sensitive data before it reaches external models.
Why it matters: Providing UK staff with secure, vetted AI alternatives reduces the friction that drives them towards non-compliant personal accounts.
Read the source on LinkedIn →Regulation & Governance
EU AI Act Enforcement Approaches For High-Risk Systems
High-risk AI obligations under the EU AI Act will become enforceable in August 2026, carrying fines of up to 35 million euros or 7% of global turnover. Many businesses remain unprepared, with 40% of enterprise AI systems currently lacking clear risk classification.
Why it matters: UK businesses serving European customers or processing EU data must begin their conformity assessments immediately to avoid severe regulatory penalties.
Read the source on LinkedIn →Preventing Governance Drift In Deployed AI Systems
AI governance failures rarely occur as sudden incidents but rather as a slow drift where permissions widen and data scopes expand over time. Establishing clear ownership for monitoring how AI behaves post-deployment is critical to maintaining compliance.
Why it matters: UK business leaders must assign ongoing accountability for AI systems to ensure they remain aligned with initial Information Commissioner's Office guidelines and internal policies.
Read the source on LinkedIn →Workforce & Skills
Government Report Highlights Major AI Skills Confidence Gap
A new UK government report reveals that only 21% of workers feel confident using AI in their daily roles. Structured training programmes have been shown to rapidly increase this confidence, transforming passive consumers of technology into empowered users.
Why it matters: UK employers must ringfence training budgets now to upskill their workforce and overcome the apprehension limiting productivity gains.
Read the source on LinkedIn →AI Automation Threatens Traditional Entry-Level Training Roles
The latest AI models are successfully automating tasks traditionally assigned to junior staff, such as drafting reports and writing boilerplate code. While not eliminating jobs entirely, this shift threatens the traditional training ground where junior employees develop industry expertise.
Why it matters: UK business leaders must rethink how they develop future senior talent when entry-level tasks are increasingly handled by automated systems.
Read the source on LinkedIn →