AI Adoption stories
Fresh funding is prompting Bedrock Data to strengthen its leadership team as enterprises rush for better controls over sensitive information in AI systems.
Live AI agents are most often used in narrow front-line tasks, with sector differences exposing gaps in off-hours cover and handovers to staff.
Security teams gain real-time control over what AI assistants can retrieve from Microsoft 365 and Google Workspace, closing a policy gap.
Production data from hundreds of enterprise customers shows AI agents are handling only a few high-volume workflows, reshaping deployment priorities.
Independent testing suggests enterprise AI can be deployed without exposed inbound ports, easing security concerns for firms handling sensitive data.
Many firms lack visibility over AI-written software, raising maintainability and security risks as adoption of coding assistants accelerates.
A GoTo survey finds many workers fear heavy AI use is eroding skills, while poor training and weak oversight are fuelling risks.
Employers may be underestimating training needs, as a survey found employees far less confident than HR leaders about AI readiness across Asia-Pacific.
The tie-up aims to let law firms and in-house teams ground AI-assisted drafting and research in their own precedents and knowhow.
Legal teams will be able to benchmark AI uptake and governance as Harvey opens early access to a tool built to replace spreadsheets and manual reporting.
Channel partners in Australia and New Zealand will get clearer sales guidance as Kong taps Unfold to accelerate AI and API deal flow.
The new features aim to help IT teams spot and fix digital workplace glitches before employees are affected, as AI use grows.
Banks are under pressure to speed onboarding and tighten fraud controls as more institutions move AI from trials into daily business banking use.
The province wants faster diagnoses and lighter admin burdens as the new lab pushes locally built AI into frontline care.
Canadian mid-sized firms processing 200-plus invoices a month could cut AP costs and cycle times sharply as Finofo folds tasks into one workflow.
Businesses now need AI that fits into managed processes, as speed alone can create fragmentation and weaken oversight across customer-facing work.
Smaller firms risk being left behind unless ministers back AI infrastructure, training and accessible support, the body said.
Large firms face mounting execution risk as weak governance, legacy systems and poor change management threaten to derail AI spending.
Many Australian firms are slowing AI roll-outs because fragmented oversight is leaving no one clearly accountable for risk, compliance or decisions.
The move will put AI tools in daily use for more than 1,900 staff, as HWLE seeks tighter controls around risk, training and compliance.