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IBM Study: Limited Control and Rising Dependencies Leave Enterprises Exposed in the Age of AI

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2 days ago

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68% of surveyed executives say meeting data residency and sovereignty requirements across geographies is challenging
Nearly all (91%) respondents report not fully understanding their AI dependencies across vendors, models, and infrastructure
Organizations with the most advanced AI control capabilities protect more than half of their operating profit from AI-driven disruptions

ARMONK, N.Y., June 17, 2026 /PRNewswire/ — A new global study by the IBM (NYSE: IBM) Institute for Business Value finds that as enterprises embed AI deeper into core business operations, most surveyed organizations remain locked into AI systems they cannot easily change, reinforcing the growing importance of AI sovereignty to maintain business continuity and performance.

Based on insights from 1,000 senior executives, The Calculus of AI Sovereignty study* reveals that 71% of respondents say switching their primary AI vendor or model would be difficult, highlighting significant operational constraints. Additionally, 68% of surveyed executives say meeting data residency and sovereignty requirements across geographies is challenging, creating complexity in moving AI systems or data across environments. These dynamics point to growing pressure on organizations to strengthen control and oversight as AI adoption and compliance requirements expand.

While the need for control is intensifying, most organizations still lack the visibility required to act on it: 91% of those surveyed say they don’t fully understand their organization’s dependencies across AI vendors, models and infrastructure, limiting the ability to assess risk and plan for disruption. Surveyed leaders report an average of six AI-related disruptions over the past two years, largely driven by vendor services, yet 81% say a seven-day vendor outage would still cause severe or critical disruption, effectively halting operations.

Respondents also cite unexpected changes across the AI ecosystem, including price increases, usage restrictions, model deprecations, and performance degradation. These findings underscore the challenges enterprises face in managing AI dependencies.

Ana Paula Assis, IBM Senior Vice President and Chair, EMEA and APAC, said in the study foreword: “AI has introduced new forms of dependency that evolve faster than traditional governance, procurement, or technology cycles were designed to handle. That is why AI sovereignty has become one of the most defining leadership issues of this moment. The stakes are no longer technical; they are economic. Any loss of control can translate directly into margin pressure, compliance exposure, or outright business disruption.”

According to the study, organizations that design AI systems to adapt data, models and infrastructure as conditions change – a core element of AI sovereignty – are outperforming peers:

Analysis shows that organizations with the most advanced AI control capabilities see less AI downtime and protect 55% more operating profit from AI-driven disruptions.
Yet, only a minority of the organizations surveyed (7%) operate at this level, signaling a widening gap between those building adaptable AI systems and those constrained by dependency.
72% of surveyed executives say they would accept a 20% cost increase to maintain AI vendors if it improved strategic flexibility.

Most surveyed organizations (73%) describe their AI environments as intentionally multi-‑vendor, yet vendor diversity in practice appears to be driven less by deliberate strategy and more by internal and operational realities1:

Independent business unit decisions (69%) and geographic necessity (69%) emerge as the leading drivers.
Legacy complexity is also widely cited by respondents (57%), reflecting mergers, acquisitions, and historical decisions—common across organizations but less often the primary driver.

The study also provides a roadmap for senior executives on how to build flexible, resilient, and sovereign AI systems. To view the full study, visit: https://ibm.biz/ai-sovereignty.

1 Unpublished data from the IBM Institute for Business Value The Calculus of AI Sovereignty Study (2026).

*Study Methodology
The IBM Institute for Business Value, in collaboration with Oxford Economics, conducted a global survey between February and April 2026 to examine how organizations structure control across the AI stack and how these choices relate to resilience, performance and operating economics. The study is based on responses from 1,000 senior executives responsible for AI, data, technology, or related enterprise capabilities across 16 countries and 17 industries. Additional analysis identified distinct AI control profiles by segmenting organizations based on how they structure control across data, models, infrastructure and applications, and assessing the relationship to resilience, performance and operating economics.

The IBM Institute for Business Value, IBM’s thought leadership think tank, combines
global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership, visit: www.ibm.com/ibv. To receive more insights, subscribe to the IdeaWatch newsletter: https://ibm.co/ibv-ideawatch. 

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity, and service.  Visit www.ibm.com for more information.

Media Contact
Marisa Conway
IBM Corporate Communications
conwaym@us.ibm.com

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IIFL Capital Launches Algo Marketplace with Over 100 Ready-Made Strategies

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51 minutes ago

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June 19, 2026

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MUMBAI, India, June 19, 2026 /PRNewswire/ — IIFL Capital Services Limited (https://www.iiflcapital.com) today announced the launch of its next-generation algorithmic trading platform. The platform offers access to more than 100 ready-made exchange-approved algorithmic trading strategies, making sophisticated trading tools accessible to a wider investor base.

Algorithmic trading has emerged as one of the fastest-growing segments in global capital markets, driven by advances in technology, data analytics and automation. In India, increasing regulatory clarity and growing investor adoption are accelerating the shift towards systematic and rules-based trading approaches.

Commenting on the launch, Rachit Mehta, Head of Products and Platform, IIFL Capital, said:

“For over three decades, IIFL has been at the forefront of innovation in India’s financial services industry. From pioneering digital investing solutions to building cutting-edge trading infrastructure, technology has been central to our growth journey. The launch of our Algo Marketplace marks another important milestone in that evolution.”

“With access to over 100 ready-made strategies, a robust technology architecture and participation from leading exchange-approved strategy providers, I believe we have created one of the most comprehensive algorithmic trading ecosystems in the country. Our objective is to democratize access to sophisticated trading strategies and empower investors with institutional-grade tools through a simple and intuitive platform.”

The launch further strengthens IIFL Capital’s position as a technology-led financial services institution. Over the past three decades, the company has consistently invested in digital innovation, helping millions of investors access capital markets through advanced yet user-friendly solutions.

As algorithmic trading continues to gain momentum in India, IIFL Capital’s platform aims to bridge the gap between institutional-grade technology and retail investor participation, bringing automation, discipline and data-driven decision-making to a broader audience.

About IIFL Capital Services Ltd

IIFL Capital Services Ltd (formerly known as IIFL Securities Limited) (NSE: IIFLCAPS) (BSE: 542773) is one of the key capital market players in the Indian financial services space. IIFL Capital offers broking services, wealth management, financial products distribution, institutional broking, research and investment banking services.

Photo: https://mma.prnewswire.com/media/2997315/IIFL_Algo_announcement.jpg

 

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LUMIQ Raises INR 50 Crore Pre-Series B to Become the AI Decision Layer for Financial Services

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51 minutes ago

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June 19, 2026

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While most AI in financial services remains advisory, LUMIQ has built the layer that owns the decision — autonomous, auditable AI agents making regulated calls in production at leading banks, insurers, and capital markets firms. Today, LUMIQ serves clients across India, the United States, and Southeast Asia — leading institutions across insurance, banking, and capital markets.

NEW DELHI and MUMBAI, India, June 19, 2026 /PRNewswire/ — LUMIQ, an AI-native financial services company, today announced a strategic funding round to scale auto-decisioning for financial institutions across the United States and Southeast Asia. The round was led by Bajaj Finserv, one of India’s largest and most diversified financial services groups, with participation from existing investor Info Edge Ventures.

Right now, thousands of customers are waiting for a policy to be issued, a loan to be disbursed, a claim to be adjudicated, because somewhere an FSI employee is drowning in decisions, held back by the risk of getting it wrong. Today, when e-commerce delivers the same day, banks and insurers still decide in weeks. We built LiteCone to take that burden: AI decides the routine cases, completely and accountably, so humans spend their judgment on the one case that actually needs it. This round lets us bring that to every financial institution in the markets that matter most.
Shoaib Mohammad, Co-founder and CEO, LUMIQ

From AI that assists to AI that decides

For decades, financial institutions have bought technology that made their people faster — faster data, faster scoring, faster copilots. The decision still landed on a human. LUMIQ is changing that. Through its LiteCone platform, the company deploys AI agents that read the file, apply the institution’s own guidelines, and reach the decision end to end — escalating only the cases that genuinely require human judgment. The output is not a recommendation. It is a decision, with full reasoning attached, cross-referenced to policy, and defensible under audit.

The results in production speak clearly. At a leading life insurer, LUMIQ’s LEO agent decides 75–80% of underwriting cases with zero human touch, reduced policy issuance cost by roughly 25%, and compressed turnaround from days to under eight minutes — running 24×7 with complete auditability. Across its client base spanning insurance, banking, and capital markets in India, the US, and Southeast Asia, LUMIQ now processes millions of decisions annually.

LiteCone turns a real financial-services role into a working AI agent in weeks. Every agent we deploy is consistent, explainable, compliant, and auditable by design — not as an afterthought. This capital lets us go deeper on the platform and broader across roles. And through our cloud and AI lab partnerships, institutions will increasingly find LiteCone already embedded in the platforms they run today.
Vaibhav Dobriyal, Co-founder and Chief Product Officer, LUMIQ

This round funds four priorities: expanding go-to-market in the US and Southeast Asia; deepening LiteCone’s decisioning capabilities; extending the agent workforce across more financial-services roles; and building a partnership ecosystem with cloud hyperscalers, AI labs, and core banking and insurance platforms so LiteCone is embedded where institutions already run.

LUMIQ’s investors backed the round for the same reason its customers adopt LiteCone: agents already deciding in production, with auditability and control built in.

As a financial-services group, we know how much rests on getting regulated decisions right, at speed and at scale. LUMIQ has built AI agents that decide in production with auditability and control built in, the capability the industry has been moving toward. We are proud to lead this round and to support the team’s expansion across the US and Southeast Asia.
Lakshmi Iyer, Group President – Investments & CEO, Bajaj Alternates

Our conviction is grounded in what LUMIQ has already built. Their AI agents aren’t just built for the future. They are operating in production today, at speed. This combination is rare, and its value will only compound as the company scales globally.
Girish Jhunjhunwala, Fund Manager – PE and VC Investments, Bajaj Alternates

Financial services is one of the hardest categories to crack — regulated, risk-averse, and unforgiving of hype. LUMIQ has put agentic AI into live financial-services workflows and earned the trust of large institutions across the US, Southeast Asia and India. That is how a category-defining company in financial-services AI gets built, and we are proud to keep backing the team as they scale globally.
Kitty Agarwal, Partner, Info Edge Ventures

LUMIQ’s goal is to lead one category: auto-decisioning at production scale for financial services. Agents that act, not assist, and never compromise audit, compliance, or predictability.

About LUMIQ

LUMIQ is an AI-native financial services company. Through its LiteCone platform and a growing workforce of production AI agents, LUMIQ turns real financial-services roles — insurance underwriter, credit underwriter, claims adjudicator — into agents that are consistent, explainable, compliant, and auditable. The company pairs deep domain expertise across banking, insurance, and capital markets with frontier AI. LUMIQ employs over 350 AI and data specialists, and has offices in New Jersey, Singapore, and Delhi NCR (India).

Web: www.lumiq.ai

Photo – https://mma.prnewswire.com/media/2997317/LUMIQ_Funding.jpg

 

 

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LUMIQ Raises Strategic Funding to Become the AI Decision Layer for Financial Services

Published

51 minutes ago

on

June 19, 2026

By

While most AI in financial services remains advisory, LUMIQ has built the layer that owns the decision — autonomous, auditable AI agents making regulated calls in production at leading banks, insurers, and capital markets firms. Today, LUMIQ serves clients across India, the United States, and Southeast Asia — leading institutions across insurance, banking, and capital markets.

NEW YORK and SINGAPORE, June 19, 2026 /PRNewswire/ — LUMIQ, an AI-native financial services company, today announced a strategic funding round to scale auto-decisioning for financial institutions across the United States and Southeast Asia. The round was led by Bajaj Finserv, one of India’s largest and most diversified financial services groups, with participation from existing investor Info Edge Ventures.

Right now, thousands of customers are waiting for a policy to be issued, a loan to be disbursed, a claim to be adjudicated, because somewhere an FSI employee is drowning in decisions, held back by the risk of getting it wrong. Today, when e-commerce delivers the same day, banks and insurers still decide in weeks. We built LiteCone to take that burden: AI decides the routine cases, completely and accountably, so humans spend their judgment on the one case that actually needs it. This round lets us bring that to every financial institution in the markets that matter most.
Shoaib Mohammad, Co-founder and CEO, LUMIQ

From AI that assists to AI that decides

For decades, financial institutions have bought technology that made their people faster — faster data, faster scoring, faster copilots. The decision still landed on a human. LUMIQ is changing that. Through its LiteCone platform, the company deploys AI agents that read the file, apply the institution’s own guidelines, and reach the decision end to end — escalating only the cases that genuinely require human judgment. The output is not a recommendation. It is a decision, with full reasoning attached, cross-referenced to policy, and defensible under audit.

The results in production speak clearly. At a leading life insurer, LUMIQ’s LEO agent decides 75–80% of underwriting cases with zero human touch, reduced policy issuance cost by roughly 25%, and compressed turnaround from days to under eight minutes — running 24×7 with complete auditability. Across its client base spanning insurance, banking, and capital markets in India, the US, and Southeast Asia, LUMIQ now processes millions of decisions annually.

LiteCone turns a real financial-services role into a working AI agent in weeks. Every agent we deploy is consistent, explainable, compliant, and auditable by design — not as an afterthought. This capital lets us go deeper on the platform and broader across roles. And through our cloud and AI lab partnerships, institutions will increasingly find LiteCone already embedded in the platforms they run today.
Vaibhav Dobriyal, Co-founder and Chief Product Officer, LUMIQ

This round funds four priorities: expanding go-to-market in the US and Southeast Asia; deepening LiteCone’s decisioning capabilities; extending the agent workforce across more financial-services roles; and building a partnership ecosystem with cloud hyperscalers, AI labs, and core banking and insurance platforms so LiteCone is embedded where institutions already run.

LUMIQ’s investors backed the round for the same reason its customers adopt LiteCone: agents already deciding in production, with auditability and control built in.

As a financial-services group, we know how much rests on getting regulated decisions right, at speed and at scale. LUMIQ has built AI agents that decide in production with auditability and control built in, the capability the industry has been moving toward. We are proud to lead this round and to support the team’s expansion across the US and Southeast Asia.
Lakshmi Iyer, Group President – Investments & CEO, Bajaj Alternates

Our conviction is grounded in what LUMIQ has already built. Their AI agents aren’t just built for the future. They are operating in production today, at speed. This combination is rare, and its value will only compound as the company scales globally.
Girish Jhunjhunwala, Fund Manager – PE and VC Investments, Bajaj Alternates

Financial services is one of the hardest categories to crack — regulated, risk-averse, and unforgiving of hype. LUMIQ has put agentic AI into live financial-services workflows and earned the trust of large institutions across the US, Southeast Asia and India. That is how a category-defining company in financial-services AI gets built, and we are proud to keep backing the team as they scale globally.
Kitty Agarwal, Partner, Info Edge Ventures

LUMIQ’s goal is to lead one category: auto-decisioning at production scale for financial services. Agents that act, not assist, and never compromise audit, compliance, or predictability.

About LUMIQ

LUMIQ is an AI-native financial services company. Through its LiteCone platform and a growing workforce of production AI agents, LUMIQ turns real financial-services roles — insurance underwriter, credit underwriter, claims adjudicator — into agents that are consistent, explainable, compliant, and auditable. The company pairs deep domain expertise across banking, insurance, and capital markets with frontier AI. LUMIQ employs over 350 AI and data specialists, and has offices in New Jersey, Singapore, and Delhi NCR (India).

Web: www.lumiq.ai

Photo – https://mma.prnewswire.com/media/2997283/LUMIQ_Funding.jpg

 

 

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