Business · 21 July 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.

Financial Services AI

HM Treasury Sets Out Ten-Point AI Adoption Plan for Financial Services

HM Treasury published its Financial Services AI Adoption Plan this week, with adoption reported at around 75% of firms. However, the same underlying Bank of England and FCA survey reveals that 46% of those firms have only a partial understanding of the AI they are using, while over half of reported use cases involve some degree of automated decision-making.

Why it matters: UK financial services organisations should treat this moment as a governance prompt, not a green light. Boards must understand which decisions AI is making, on what basis and whether customer outcomes can be evidenced under the Consumer Duty.

Read the source on LinkedIn →

Shadow AI

Future of Life Institute Report Exposes Shadow AI Risk Inside Organisations

The Future of Life Institute's AI Safety Index awarded no provider an A grade, with the best score a C+. The report highlights a compounding risk: surveys indicate that 64–80% of employees use unauthorised AI tools at work, often feeding sensitive or personal data into systems with no organisational oversight.

Why it matters: UK organisations face a dual exposure: the underlying AI safety standards are weak, and internal controls are largely absent. Shadow AI is already creating data leak and UK GDPR liability risks that no policy document alone will resolve.

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AI Governance

Boards Warned That Annual Risk Reviews Cannot Keep Pace With AI

A governance analysis published this week argues that most board risk frameworks assume a manageable rate of change, an assumption AI directly undermines. Drawing on AICD guidance, it sets out what good looks like: a named AI owner, a living AI register, continuous assurance and AI listed as its own risk line rather than folded under cyber.

Why it matters: UK boards that review AI risk annually are effectively governing a historical snapshot. As AI tools evolve between reporting cycles, organisations need continuous oversight structures or face accountability gaps they cannot defend to regulators or insurers.

Read the source on LinkedIn →

UK Lawyers Warned They Face Liability for Not Using AI

The UK Jurisdiction Taskforce, chaired by the Master of the Rolls, published its Legal Statement on Liability for AI Harms this week. The headline finding is that a lawyer can be sued for negligence for failing to use AI where a competent professional of comparable rank would have done so. The duty also runs in the other direction: careless use, including feeding confidential data into insecure systems, also creates liability.

Why it matters: For UK professional services firms, the era of treating AI avoidance as the low-risk option is over. Legal, compliance and advisory teams must now assess AI adoption as part of their professional duty framework, and ensure any tools used meet appropriate data security standards.

Read the source on LinkedIn →

AI in Marketing

GPT-5.6 Launch and AI Search Shift Rewrite the Rules for Marketing Leaders

OpenAI launched GPT-5.6 in three tiers this week, whilst AI-driven search continues to restructure SEO visibility in ways that challenge traditional content strategies. Anicca's weekly roundup covers 24 developments across AI in marketing and management relevant to UK practitioners.

Why it matters: UK marketing and communications teams need to reassess how AI search surfaces their content, as visibility is increasingly determined by how well material is structured for AI retrieval rather than conventional search ranking.

Read the source on anicca.co.uk →

On your radar

Living AI RegisterThe governance guidance published this week recommends every organisation maintain a dynamic AI register, not a static spreadsheet. Record which tools are in use, who owns them, what decisions they influence and when they were last reviewed. This is increasingly what regulators and auditors will expect to see.
Consumer Duty and Automated DecisionsFor UK financial services teams, the HM Treasury adoption plan is a prompt to map your customer journeys now. Identify where AI is involved in decisions, what data it uses and whether you can demonstrate good outcomes. Firms that cannot answer these questions are already exposed.
Shadow AI Training as a Base LayerThe Future of Life Institute report makes clear that policy documents are insufficient on their own. Structured staff training on what shadow AI is, why it creates UK GDPR risk and how to use approved tools correctly is the minimum viable starting point for any governance programme.
Professional Liability AuditFollowing the UK Jurisdiction Taskforce statement, professional services firms should conduct an immediate audit of which roles have a reasonable expectation of AI use. Where adoption is becoming the norm in a specialism, not using AI may itself require justification.
Vendor Dependency ReviewIf your organisation relies on a single AI platform for mission-critical work, treat that as a live risk. Build alternatives into your procurement planning and ensure your continuity plans account for a tool becoming unavailable at short notice, whether through commercial, regulatory or security decisions made above your pay grade.
AI as Its Own Board Risk LineSeveral governance frameworks reviewed this week recommend separating AI from cyber on the board risk register. These are related but distinct risk categories. Conflating them can obscure the specific accountability questions that AI decision-making raises.
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