Business · 28 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.

Corporate AI Adoption

UK AI Adoption Reaches Tipping Point as Businesses Scale Up

A Google Cloud executive told Reuters this week that AI adoption in Britain has reached a "tipping point", with businesses and government bodies that were piloting tools a year ago now deploying them at scale across complex processes. The shift marks a clear move from experimentation to measurable productivity gains.

Why it matters: UK organisations that are still in pilot mode risk falling behind competitors already realising returns. Now is the time to move from testing to structured, organisation-wide deployment.

Read the source on FINANCE →

Most UK Businesses Feel AI Pressure But Only 6% Have Embedded It

New 2026 adoption research shows 80% of businesses feel pressure to adopt AI, yet only 6% have properly embedded it. AI usage drops sharply down the organisational hierarchy, with just 17% of specialists and entry-level staff reaching advanced adoption, the very people whose day-to-day work stands to benefit most.

Why it matters: UK business leaders who concentrate AI adoption at the senior level will fail to realise productivity gains at the operational layer where the highest volume of work actually happens.

Read the source on LinkedIn →

AI Leadership & Strategy

Leaders Tracking AI Adoption Metrics Are Measuring the Wrong Thing

A LinkedIn survey of 1,200 C-suite leaders found 78% are rolling out AI faster than they can measure it, half cannot describe what their workforce will look like in two years, and 90% say their own role now requires constant new skills. Adoption numbers, the research suggests, tell you almost nothing about business impact.

Why it matters: UK executives need to move beyond licence counts and define clear outcome-based metrics, whether productivity gains, time savings or measurable ROI, before scaling further.

Read the source on LinkedIn →

AI in Finance & Banking

BIS Warns AI Disruption Threatens $115bn Private Credit Lending Book

A new Bank for International Settlements bulletin warns that AI-driven disruption poses a systemic risk to business development companies managing an estimated $115bn in private credit. The report flags that AI is accelerating credit analysis and underwriting in ways that could destabilise traditional lending structures.

Why it matters: UK financial services firms and any organisation relying on private credit should assess how AI-driven shifts in lending risk assessment may affect their financing arrangements and credit exposure.

Read the source on RepresentAI →

FCA Study Finds 11 Million UK Adults Willing to Let AI Make Financial Decisions

The FCA's Mills Review, a first-of-its-kind study, reveals that 11 million UK adults would be comfortable allowing AI to make financial decisions on their behalf. The findings have significant implications for how financial products are designed, regulated and communicated to consumers.

Why it matters: UK organisations in financial services, as well as those advising clients on benefits, pensions or expenses, must prepare for an environment in which AI-assisted decision-making becomes a regulatory and consumer expectation rather than a novelty.

Read the source on RepresentAI →

On your radar

Tacit Knowledge as Competitive AdvantageGeneric AI outputs frustrate domain experts because the most valuable organisational knowledge sits in employees' heads, not in any dataset. UK businesses should begin structured knowledge-capture projects to encode specialist expertise into AI workflows before that institutional knowledge walks out the door.
The Adoption Gap is a Training ProblemThe data is unambiguous: low AI adoption among frontline staff is not a technology access issue. UK HR and L&D teams should prioritise role-specific AI training for operational staff rather than investing further in senior leadership programmes that already have high uptake.
Measure Outcomes, Not LicencesWith 78% of global executives admitting they are scaling AI faster than they can measure it, UK organisations should pause and define two or three concrete business outcomes before their next AI tool procurement. Seat count is a vanity metric.
FCA Consumer AI Guidance IncomingWith 11 million UK adults open to AI-led financial decisions, the FCA is likely to accelerate guidance on AI in consumer financial services. UK compliance and legal teams should monitor FCA publications closely and begin reviewing how AI-assisted recommendations interact with existing conduct obligations.
Private Credit Risk ReviewThe BIS warning about AI disruption to private credit markets is a prompt for UK finance directors and CFOs to review their organisation's credit arrangements and stress-test assumptions about lending stability in an environment where AI is reshaping risk assessment.
From Pilot to ProgrammeGoogle Cloud's observation that UK businesses are moving from experimentation to large-scale deployment confirms the market is maturing fast. If your organisation is still running isolated AI pilots with no integration roadmap, appoint a dedicated AI programme lead now rather than waiting for a centralised strategy to emerge.
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