Explainable AI stories
A growing share of consumers want businesses to prove AI is powered responsibly, with younger New Zealanders most worried about its environmental costs.
Businesses that treat AI as a mere efficiency tool risk missing bigger gains from redesigning workflows, according to One NZ's Chief Executive Officer.
Public trust in AI depends on clear policies, mandatory staff training and plain-language explanations of how systems use people's data.
Companies serving EU users face new disclosure duties from 2 August, as Brussels keeps transparency rules on schedule despite delaying tougher AI obligations.
Most finance professionals now use AI, but 93 per cent worry its outputs may be inaccurate or biased, a new survey finds.
Enterprises are moving from workflow software to systems that make auditable decisions, threatening seat-based revenue models across the sector.
Privacy-conscious professionals can now search sensitive files on-device, as Synsira's Kind Local Pro keeps data off cloud servers.
Enterprises that adopt agentic AI early could gain an edge as governance, integration and deployment hurdles keep most firms stuck in pilots.
Finance teams could cut manual reconciliation prep time as BlackLine rolls out an AI tool built for audit trails and human oversight.
Despite near-universal uptake, most ANZ SMEs still distrust AI to make cyber security decisions as incidents continue to disrupt work.
Businesses risk weaker AI returns unless staff retain control over high-risk decisions, SAS says, as agentic tools spread.
Only 19% of regulated firms can prove how AI-assisted decisions were made, leaving them exposed to audit and regulatory scrutiny.
By linking chat to live IT systems, Cisco is pitching AI assistants that could cut routine work while keeping engineers in control.
Banks could cut onboarding and compliance workloads as Fenergo's Fen-AI ties every AI action to a full audit trail for regulators.
Planners can now see why forecasts changed, as Manhattan embeds plain-language AI explanations inside ActivePlanning rather than forcing spreadsheet checks.
Banks and insurers face a gap between the plan's broad AI aims and the controls needed to satisfy compliance and audit demands.
Finance teams could cut days from month-end reporting by automating repetitive reconciliations first, while leaving judgment calls to people.
Governance is lagging as Australian finance chiefs race to deploy AI agents, with many under pressure to prove ROI and explain errors.
Most UK finance chiefs lack in-house expertise and feel pressure to prove AI returns quickly, despite governance controls lagging behind.
AI projects that remain stuck in pilot stages may miss the shift to agentic systems able to manage tasks with limited human oversight.