Business & Technology
Most firms not ready for agentic AI, Teradata study finds
SOFIAH NICHOLE SALIVIO
News Editor
Teradata and Wakefield Research have published a study on barriers to scaling agentic AI in large organisations. It found that only 7% of enterprises have reached a stage where the technology is delivering measurable business outcomes.
The survey of 1,000 senior technology and data leaders across six markets, including the UK, identifies enterprise data infrastructure as the main obstacle to wider deployment. It points to a gap between early AI trials and broader organisational use, where systems, governance and data lineage become more important.
Most respondents remain in the early phases of adoption. Under the study’s four-stage maturity index, 68% of organisations are still in the experimenting or developing stages rather than operational use, where AI runs multi-step workflows with a measurable business impact.
A central finding is that many companies do not believe their data is ready for AI agents to use at scale. Some 77% of respondents said 20% or less of their enterprise data is sufficiently contextualised for agents to use effectively, while 78% said it is difficult to unify data and knowledge across business functions.
This points to a broader issue in how corporate data has been built and managed. The study found that 43% of leaders see data lacking metadata, context and relationships as a key barrier, while 42% cited fragmentation across systems that cannot be connected in real time.
Investment gap
The findings also suggest that spending plans are rising despite limited returns so far. Nine in ten senior technology leaders said they expect to increase investment in agentic AI over the next 12 months, yet 63% said they have seen only a small or emerging positive return on those investments to date.
Louis Landry, Chief Technology Officer at Teradata, said the mismatch stems from expecting enterprise-wide returns from tools that mostly improve individual productivity.
“Individual productivity gains – faster code, better drafts, quicker research – are real benefits, but they don’t show up on the P&L in a way that justifies significant infrastructure investment. The ROI executives expect requires agents operating at the organizational level: automating decisions, executing workflows, driving measurable business outcomes. Most organizations are measuring enterprise AI ROI against personal AI infrastructure – and wondering why the numbers don’t add up,” said Louis Landry, Chief Technology Officer at Teradata.
The study draws a distinction between personal AI, such as chatbots and writing assistants used by individuals, and organisational AI, where agents work across shared company data under defined access controls and governance rules.
Pilot problems
Many AI projects are also struggling to move beyond the trial stage. The survey found that 40% of technology leaders said more than 40% of their AI pilot projects fail to reach production, while only 15% said their organisations are getting 80% or more of pilots into live use.
That shortfall is reflected in attitudes to infrastructure decisions. Some 60% of respondents reported decision paralysis over durable infrastructure choices, and 30% said they were concerned about vendor lock-in. Just over half, 51%, cited accuracy and reliability of outputs as a significant barrier to deployment.
The results also highlight differences in perception within senior ranks. While 69% of C-suite executives said their organisation is already operating with agentic AI, only 57% of vice presidents said the same, suggesting leaders do not share a common view of how far implementation has progressed.
Teradata argues that companies should focus on preparing the most valuable parts of their data estate rather than trying to overhaul everything at once. The report uses the term Autonomous Knowledge for data with enough context, lineage and governance for AI agents to act on it reliably.
Josh Fecteau, Chief Data and AI Officer and Chief Information Officer at Teradata, said organisations should narrow their focus.
“The goal of contextualizing your entire data estate is likely the wrong goalpost, and chasing it is part of why organizations stall. Instead, identify the highest-value portion of your data, structured and/or unstructured, and focus on getting that portion fully described, governed, and agent-ready. If most of the data is unusable, the answer isn’t to fix all of it at once. It’s to be ruthlessly selective about where you start,” said Josh Fecteau, Chief Data and AI Officer and Chief Information Officer at Teradata.
The survey covered companies with at least 500 employees in the United States, United Kingdom, France, Germany, Japan and Saudi Arabia. Respondents were senior technology and data leaders at vice president level or above.
Business & Technology
IPC & Luware team up on cloud compliance recording
IPC and Luware have partnered to offer Luware Recording to financial institutions, expanding access to cloud-based compliance recording for regulated organisations.
The agreement brings Luware Recording into IPC’s communications environment for trading, enterprise voice and collaboration tools. The service is intended to help firms capture and retain communications across voice and digital channels as more activity moves into hybrid and cloud-based systems.
Financial institutions face growing pressure to keep records across an expanding mix of communications platforms. Rules including MiFID II, Dodd-Frank and FCA requirements have raised expectations around the capture, storage and supervisory review of conversations and messages linked to regulated activity.
Luware Recording is designed to record communications across several enterprise platforms and deployment models. It can be used in multi-tenant and private-tenant set-ups, with storage managed either by customers or hosted by Luware.
The platform also includes artificial intelligence tools for automatic conduct risk detection and persona-based summaries. Those functions sit alongside retention and supervisory features aimed at compliance teams.
IPC said the partnership aligns with its broader focus on compliance and communications infrastructure for the financial sector. By adding Luware’s service, it aims to expand the recording options available to clients operating across trading floors and wider enterprise environments.
Luware, headquartered in Zurich, says it serves more than 1,500 organisations. Its recording platform is used to capture and archive voice, video, screen sharing and instant messaging across communications systems used by regulated businesses.
Oversight demands
Maintaining oversight has become harder as firms spread communications across fixed-line voice, mobile, collaboration software and cloud services. For banks, brokers and other regulated groups, that creates a challenge not only in preserving records but also in making them available for internal review and regulatory scrutiny.
Luware Recording will sit within IPC’s global connectivity infrastructure. The integration is intended to let clients apply a single recording layer across interconnected trading and enterprise communications, without relying on separate tools for different channels.
“At IPC, our strategy is built around Compliance, Connectivity, and Community,” said Vimal Vel, Chief Product Officer, IPC.
“This partnership strengthens our ability to deliver scalable, regulation-ready recording across modern communications environments. As firms adopt new technologies, they must maintain consistent oversight, and we are enabling that with confidence and resilience,” Vel said.
Luware described the arrangement as a way to extend its reach in heavily regulated sectors, where communications records are a core part of governance and market supervision. The partnership combines its cloud-based recording and analytics with IPC’s network in financial markets.
“Luware Recording is designed for highly regulated industries. By combining IPC’s global connectivity with our cloud-based capture and analytics, clients gain a single compliance layer across all trader voice and collaboration platforms,” said Alex Grafetsberger, Chief Business Officer, Luware Recording.
IPC has operated in financial market communications for more than 50 years and provides services spanning trading communications, electronic trading, data and analytics, and infrastructure services. The Luware partnership is available to its clients worldwide.
Business & Technology
Seeking employment in Oxford? You might be searching the wrong places
There’s a very popular belief that Oxford is a place for academics and scientists and that without a very specialist profile you have limited possibilities. But that’s not the full story. Hospitality, retail, care and logistics are huge areas of local employment, and these sectors actively seek people who are reliable and willing, not necessarily those with long CVs.
So where are these roles? Many never make it onto the big job boards. Local classified platforms with jobs Oxford brings together vacancies posted directly by businesses and individuals in the area, the kind of opportunities a family-run shop or small local organisation puts up on a Tuesday morning hoping to fill before the weekend. The process is quick, straightforward, and lacks the complexities of a formal recruitment system.
The care sector is worth singling out. Residential homes, community services and healthcare settings across Oxford and Oxfordshire hire consistently, with adaptable hours and full training provided. For anyone juggling studies, family or other commitments, it can be a very realistic entry point into the local job market.
Why national job boards don’t always tell the full story
That said, it helps to understand what the big platforms are actually good for. They work well for roles at large companies with dedicated HR teams, but they omit a significant part of Oxford’s working landscape: the independent shop in Cowley, the café in Jericho, the Headington startup that’s just secured funding and needs someone to start as soon as possible.
Those employers post, they hear back, and they make decisions within days, sometimes hours. They do it through direct channels, where the reader is often your future boss. That makes for a rather different job-hunting experience.
Another advantage is that in those settings, there’s usually more room to talk about the details. If you can only work mornings, or need Mondays off, or aren’t available for another few weeks, owner-managed businesses tend to be far more open to working something out. Flexible work in Oxford is very much there; it’s just a matter of knowing where to look for it.
Job hunting always involves a bit of trial and error, but in Oxford the range of opportunity is genuinely broad if you widen your search. While the major platforms are useful, they do not provide a complete view of the job market. By exploring local classified sites, monitoring community boards, and remaining open to sectors such as care or hospitality, you can discover opportunities that may otherwise go unnoticed, and these can often be the most rewarding.
Business & Technology
KPMG sees AI surge as firms struggle to prove value
KPMG has reported a sharp rise in organisations embedding artificial intelligence into everyday work, while industry figures warn that adoption without measurement leaves serious gaps in value, cost control and security.
The consultancy’s latest Global AI Pulse Q2 2026 report found that 22% of organisations are now at the “driving adoption” stage, embedding AI into daily workflows. That is up nine percentage points from the previous quarter. The report also found many projects are under cost pressure, with almost half of businesses scaling back or pausing AI initiatives after concluding the cost outweighed the value. Organisations with full visibility of AI operating costs reported established returns on investment at five times the rate of those without that insight.
Specialists across finance, payments and cyber security drew a common link between rapid deployment and relatively weak discipline around proving value. They identified cost tracking, auditability and sovereignty as emerging fault lines as AI moves deeper into critical systems.
At payments technology firm RedCompass Labs, the focus is on whether banks and other regulated entities can show that AI delivers measurable benefits while remaining controllable. The firm works with financial institutions on payments modernisation and AI adoption in areas subject to strict regulatory and audit oversight.
“More firms are implementing AI into everyday workflows, but that does not mean they are creating value. Proving its worth is difficult without a clear way to measure it. Organisations need to know what AI costs to run, what it is actually producing, and who checked the output before it is used in a decision.
“This is particularly important in banking and payments, where speed with AI is of little value if you cannot clearly articulate what it generated, who signed off on it, and whether it would withstand an audit. AI maturity will depend on having that measurement ability, so firms can prove it is safe, accountable and worth the money,” said Oliver St Clair-Stannard, VP, Payments AI Strategy and Go-To-Market, RedCompass Labs.
His comments reflect a wider concern that AI is outpacing governance in highly regulated sectors. Banks must be able to show how AI models behave, what they cost and how humans oversee their output, especially in payments flows that affect financial stability and compliance.
Finance leaders see a related problem in how companies account for AI costs. KPMG’s findings on stalled or scaled-back projects underline how weak financial controls can undermine enthusiastic deployment.
Expense management platform Rydoo argues that AI investment belongs as much to the finance function as to technology teams. Its leadership has urged boards to treat AI spending with the same rigour as any other strategic project, not as an experimental budget line.
“Cost visibility is what separates businesses getting real ROI from AI and those still waiting for it. Confidence in AI is high across the board, but confidence doesn’t equal proof, and most businesses still can’t say with any precision what their AI is actually costing them to run. Without that visibility, AI stops being an investment and simply becomes another operational expense.
“The fact that nearly half of businesses have scaled back or paused AI projects after realising the costs outweighed the value shows that AI can’t be treated as a purely technological decision. Finance leaders need to be involved from the outset, with clear oversight of how AI spend is tracked, measured and linked to overarching business outcomes. AI should be held to the same financial discipline as any other strategic investment if companies actually want to achieve sustainable returns,” said Aidana Zhakupbekova, COFO, Rydoo.
AI’s growing role in national security planning adds another layer of complexity around control and dependency. The UK government recently outlined plans for a national “Cyber Shield” using frontier AI systems in cyber defence.
Cyber security consultancy NCC Group has examined national approaches to AI-enabled defence in its Global Cyber Policy Radar research. Its UK government affairs team has mapped how states approach AI in critical infrastructure protection, incident response and digital sovereignty.
“Frontier AI models are demonstrating the ability to identify software vulnerabilities and security weaknesses at unprecedented speed, creating the prospect of both AI-enabled attackers and AI-enabled defenders operating at machine scale. If offensive capability is accelerating, defensive capability must accelerate too. Governments therefore have a legitimate interest in exploring national-scale cyber defence capabilities for the most critical systems and infrastructure.
“Cyber Shield reflects a wider global trend identified in NCC Group’s Global Cyber Policy Radar: Cyber security is no longer viewed solely as an operational issue but increasingly as an instrument of national security, economic security and geopolitical resilience. States are investing more heavily in capabilities that allow them to protect critical infrastructure, reduce strategic vulnerabilities and respond at national scale.
“The strongest case exists for protecting nationally significant systems. The potential value of AI-driven defence is greatest where scale, complexity and consequence intersect: government networks, critical national infrastructure, essential public services and major digital supply chains. These environments generate more telemetry and vulnerabilities than humans alone can realistically process. AI-enabled detection, prioritisation and remediation could therefore become an important force multiplier.
“Success will ultimately depend on partnership rather than government acting alone. The UK’s cyber capabilities, expertise and innovation are distributed across industry, academia and government. A sovereign cyber defence capability is likely to be most effective if it leverages this wider ecosystem through trusted public-private collaboration rather than attempting to centralise capability entirely within the state.
“Moreover, no country is an island in the digital sphere. While sovereign assets are critical for resilience, interoperability and shared assurance with trusted partners will determine effectiveness.
“The growing debate around frontier AI access has highlighted a genuine strategic risk: dependence on a small number of foreign-controlled providers for technologies that may become critical to national security and cyber resilience. Recent discussions around restricted access to advanced AI capabilities illustrate why governments are increasingly considering sovereign options.
“Sovereignty is fundamentally about control, resilience and assurance rather than nationality alone. NCC Group’s work on digital sovereignty argues that organisations should focus on who controls the technology, data, infrastructure and decision-making processes, rather than reducing complex security questions to simple geographic ownership tests.
“A narrow interpretation of sovereignty could create unintended consequences. Across Europe, NCC Group has observed growing efforts to restrict market access through sovereignty requirements. While these measures are often motivated by legitimate security concerns, overly protectionist approaches can reduce access to expertise, innovation and trusted partners, potentially weakening resilience rather than strengthening it.
“The challenge for Cyber Shield will be balancing sovereign control with access to the best available capabilities. A successful model is likely to require sovereign governance, sovereign operational decision-making and strong assurance over data and infrastructure, while remaining open to collaboration with trusted technology partners and suppliers. Resilience comes from assurance and diversity, not isolation.
“The bigger policy question is not whether Cyber Shield is sovereign, but whether it avoids creating new strategic dependencies. This mirrors concerns emerging in both UK and European policy debates: as governments adopt advanced AI-enabled cyber defence tools, they must ensure those capabilities don’t simply replace one dependency with another. Sovereignty must therefore be viewed as an outcome of resilience, assurance and control, rather than an end in itself,” said Louise Horton, Head of UK Government Affairs, NCC Group.
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