KUALA LUMPUR, Malaysia, Dec. 9, 2025 /PRNewswire/ -- In a move that reflects the shifting expectations of Malaysia's modern workforce, VSure Group and virtual healthcare provider HEYDOC Health have jointly launched CareConnect Suite, a new digital ecosystem aimed at closing long-standing gaps in employee benefits for small and medium enterprises (SMEs).
The foundation of CareConnect Suite is the combination of EzPA — VSure's uniquely curated, affordable and accessible PA protection with hospital income benefit — and FutureK, HEYDOC Health's digitally integrated outpatient care model.
CareConnect Suite is part of VSure SME Pro, the company's broader initiative to strengthen protection and financial resilience for small businesses through simple and affordable digital solutions. VSure SME Pro was developed following VSure's recognition as the Malaysia winner of the UNDP–Generali Insurance Innovation Challenge 2024, which acknowledged the company's innovative approach to supporting SMEs.
The partnership brings together two fast-growing players from Malaysia's insurtech and healthtech sectors. Their combined solution offers personal accident protection, hospitalisation income replacement, virtual doctor consultations, digital pharmacy services and nationwide medication fulfilment — all delivered through a single, connected platform.
While employee benefit programmes have traditionally been dominated by large insurers and corporate medical providers, both companies believe that SMEs — which make up over 97% of all Malaysian businesses — have been largely left out of the conversation.
A Growing Need Among Underserved SMEs
Rising healthcare costs, talent competitiveness, and the growing prevalence of freelance and gig-based work have pushed SMEs to re-evaluate how they support their workers. Yet many smaller firms lack the resources to offer conventional medical benefits, which often come with high premiums, restrictive underwriting, and heavy administrative demands.
VSure and HEYDOC Health say CareConnect Suite is designed to fill this gap with a more practical proposition:
- RM20 per employee per month
- Unlimited virtual healthcare
- Integrated protection and medication services
- Paperless onboarding
"The majority of Malaysia's workforce sits within SMEs, but access to traditional employee benefits has not kept pace with their needs," said Eddy Wong, Co-Founder & CEO of VSure Group. "CareConnect Suite is our way of offering SMEs a realistic path forward — something affordable, something simple, and something that actually works for their teams."
The solution also extends beyond employers. Freelancers, gig-workers, individuals and families can subscribe directly to the same ecosystem, mirroring global trends in personalised, digital-first healthcare.
Where Protection Meets Virtual Healthcare
What differentiates CareConnect Suite from typical insurer–telehealth tie-ups is the level of integration behind the scenes. A user can consult a doctor, receive an e-prescription, confirm medication fulfilment and activate protection benefits — all without switching platforms.
For HEYDOC Health, which operates the FutureK hybrid care model, the partnership offers a channel to deliver affordable outpatient care at a wider scale.
"This collaboration brings together digital-first insurance, hybrid outpatient care and drug-pricing optimisation in a transparent and cost-efficient manner," said Dr. Raymond Choy, CEO of HEYDOC Health. "It moves us closer to a healthcare environment that is inclusive, preventive and sustainable. We are excited to expand this partnership to more communities across Malaysia and beyond."
A Step Forward for Malaysia's Digital Health and Insurtech Sectors
Industry analysts note that Malaysia has seen rapid growth in telehealth and digital protection solutions, fuelled by pandemic-driven adoption and rising expectations for on-demand services.
CareConnect Suite is one of the few offerings in the market that blends:
- protection,
- outpatient care,
- medication logistics, and
- digital onboarding
into a single, SME-friendly package.
The companies also believe the model can scale regionally, especially across markets where SMEs form the economic backbone and digital healthcare uptake is accelerating.
About VSure Group
VSure is a pioneer in digital, on-demand and embedded protection in Malaysia, offering micro-duration and accessible coverage for consumers, SMEs and enterprises. The company was recognised by UNDP as the Malaysia Insurance Innovation Challenge Fund Winner 2024
About HEYDOC Health
HEYDOC Health is a leading digital health company in Malaysia, offering AI-powered healthcare infrastructure solutions including telehealth and electronic prescriptions (via DOC2US), smart drug formulary and pricing optimisation (via enSURE), and digital outpatient programs such as FutureK. Heydoc Health is committed to transforming healthcare delivery through technology, transparency, and trust.
Call to Action (CTA)
SMEs, freelancers and individuals who are interested in CareConnect Suite can visit:
https://www.vsure.life/careconnect_suite.php to learn more about the offering and proceed with their subscription.
Businesses looking to explore the full range of SME-focused solutions under VSure SME Pro may visit: https://www.vsure.life/smepro
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
VSure and HEYDOC Health Introduce CareConnect Suite, Transforming SME Protection and Digital Healthcare in Malaysia
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TEANECK, N.J., March 11, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) released new research showing that companies pursuing AI adoption overwhelmingly prefer IT services firms - such as "AI Builder" firms, a new services model defined by designing and building custom, full stack AI solutions - to deliver real enterprise value from AI.
The research, based on a quantitative study of 600 AI decision makers and qualitative interviews with 38 senior executives, finds that organizations rank custom solutions and flexible engagement models as the most important factor when selecting an AI partner, ahead of pricing and time to value. Pricing and proven AI case studies remain important, but rank below capabilities that enable AI to be embedded directly into business operations and value chains.
At the same time, enterprises cite generic, off-the-shelf AI solutions as a leading reason to reject an AI provider, along with lack of industry-specific expertise, inability to integrate into existing technology stacks, and inadequate support and maintenance. According to the research, the top three challenges organizations face in enterprise AI adoption are regulatory and compliance concerns, difficulty demonstrating return on investment and lack of clear AI strategy and vision.
"AI success is not about deploying isolated models—it's about engineering intelligence into the enterprise with purpose-built solutions," said Ravi Kumar S, CEO of Cognizant. "The most trusted path to an AI future is working with an AI Builder—one that brings deep industry context, systems engineering expertise, and operational accountability. At Cognizant, we focus on building the bridge from AI experimentation to measurable enterprise value."
Key findings from the study include:
Enterprises face a "messy middle" in scaling AI: AI builders can create the bridge to enterprise value -- solving complex, real-world problems:
- 63% of enterprises report moderate-to-large gaps between their AI ambitions and current capabilities.
- The biggest barriers to scaling AI are operational and organizational:
- 33% cite regulatory and compliance challenges
- 31% struggle to demonstrate ROI
- 27% report shortages in talent
- 27% report inadequate data readiness
AI investment is long term, not experimental: Enterprises are committing sustained capital to AI, signaling long-term infrastructure building rather than speculative investment:
- 84% of enterprises maintain formal AI budgets
- 91% expect AI budgets to grow in the next two years
- 50% anticipate double-digit increases in AI budgets over the next two years
- 52% are already investing $10M or more annually on AI initiatives
AI is augmenting human workforces, not replacing them: Enterprise leaders are not forecasting workforce collapse, they're forecasting redesign of workflows for human-AI collaboration.
- Across 13 enterprise functions, the highest expected level of full automation is only 20% (in sales)
- Even in customer service, where 76% of leaders expect workflows to become AI-dominant, only 9% believe they will be fully automated.
In qualitative interviews conducted as part of the research, enterprise leaders said "out‑of‑the‑box" AI is inadequate; they want tailored solutions AI builders can develop and tune.
A Vice President in the UK banking sector shared, "A lot of vendors come in thinking that the off-the-shelf solutions they have would fit our needs, but often enough they find that that's not the case. And it takes them a number of years, more than they planned, and a lot of money, both from us … to get those software working. And these are not just AI software."
A US-based insurance industry CIO stated, "It depends on where I'm inserting this particular ingredient in our value. And so sometimes I want a builder and an engineer, sometimes I want an integrator, sometimes I want an activator. Because they're playing more of a coordinating function—a weaving, stitching-together function."
Together, these research insights underscore a clear shift in enterprise expectations: from experimenting with AI tools to partnering with AI Builders that can design, build, integrate, and operate AI systems at scale— in alignment with client governance, security, and risk‑management frameworks and with lasting business impact.
These findings align with recent remarks by Babak Hodjat, Chief AI Officer at Cognizant, who noted that enterprises are far from being able to rely on AI "out of the box." In interviews with Fortune and Reuters, Hodjat emphasized that while agentic and generative AI systems are advancing rapidly, organizations still need significant help engineering, integrating, governing, and operating these systems in ways that support client safety, reliability and governance requirements within complex enterprise environments.
AI decision makers rated IT services firms like AI builders highest in their ability to assist with their AI adoption (ahead of SaaS providers, cloud providers, AI model companies, AI startups and management consultancies). The research also finds that IT services firms are trusted across the AI adoption lifecycle—especially in ongoing management of AI-enabled systems, but also in AI strategy, custom AI solution development, increasing organizational productivity and scaling AI across the enterprise. IT services firms have a 23% trust advantage over management consultancies in AI adoption. While management consultancies benefit from strong brand recognition, they are seen as less credible in hands-on AI implementation.
About the Research
Cognizant's research findings are based on quantitative research conducted in November 2025 with 600 AI decision makers, and qualitative interviews conducted in October 2025 with 38 business and technology leaders in the United States, Germany, Singapore and Australia with AI decision making responsibility. The full report can be found here: How ai is reshaping business & empowering workforces | Cognizant
About Cognizant
Cognizant (NASDAQ: CTSH) is an AI builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Name: Gabrielle Gugliocciello
Email: gabrielle.gugliocciello@cognizant.com
Europe / APAC
Name: Sarah Douglas
Email: sarah.douglas@cognizant.com
India
Name: Vipin Nair
Email: Vipin.Nair@cognizant.com
TEANECK, N.J., March 11, 2026 /PRNewswire/ -- Cognizant (Nasdaq: CTSH) released new research showing that companies pursuing AI adoption overwhelmingly prefer IT services firms - such as "AI Builder" firms, a new services model defined by designing and building custom, full stack AI solutions - to deliver real enterprise value from AI.
The research, based on a quantitative study of 600 AI decision makers and qualitative interviews with 38 senior executives, finds that organizations rank custom solutions and flexible engagement models as the most important factor when selecting an AI partner, ahead of pricing and time to value. Pricing and proven AI case studies remain important, but rank below capabilities that enable AI to be embedded directly into business operations and value chains.
At the same time, enterprises cite generic, off-the-shelf AI solutions as a leading reason to reject an AI provider, along with lack of industry-specific expertise, inability to integrate into existing technology stacks, and inadequate support and maintenance. According to the research, the top three challenges organizations face in enterprise AI adoption are regulatory and compliance concerns, difficulty demonstrating return on investment and lack of clear AI strategy and vision.
"AI success is not about deploying isolated models—it's about engineering intelligence into the enterprise with purpose-built solutions," said Ravi Kumar S, CEO of Cognizant. "The most trusted path to an AI future is working with an AI Builder—one that brings deep industry context, systems engineering expertise, and operational accountability. At Cognizant, we focus on building the bridge from AI experimentation to measurable enterprise value."
Key findings from the study include:
Enterprises face a "messy middle" in scaling AI: AI builders can create the bridge to enterprise value -- solving complex, real-world problems:
- 63% of enterprises report moderate-to-large gaps between their AI ambitions and current capabilities.
- The biggest barriers to scaling AI are operational and organizational:
- 33% cite regulatory and compliance challenges
- 31% struggle to demonstrate ROI
- 27% report shortages in talent
- 27% report inadequate data readiness
AI investment is long term, not experimental: Enterprises are committing sustained capital to AI, signaling long-term infrastructure building rather than speculative investment:
- 84% of enterprises maintain formal AI budgets
- 91% expect AI budgets to grow in the next two years
- 50% anticipate double-digit increases in AI budgets over the next two years
- 52% are already investing $10M or more annually on AI initiatives
AI is augmenting human workforces, not replacing them: Enterprise leaders are not forecasting workforce collapse, they're forecasting redesign of workflows for human-AI collaboration.
- Across 13 enterprise functions, the highest expected level of full automation is only 20% (in sales)
- Even in customer service, where 76% of leaders expect workflows to become AI-dominant, only 9% believe they will be fully automated.
In qualitative interviews conducted as part of the research, enterprise leaders said "out‑of‑the‑box" AI is inadequate; they want tailored solutions AI builders can develop and tune.
A Vice President in the UK banking sector shared, "A lot of vendors come in thinking that the off-the-shelf solutions they have would fit our needs, but often enough they find that that's not the case. And it takes them a number of years, more than they planned, and a lot of money, both from us … to get those software working. And these are not just AI software."
A US-based insurance industry CIO stated, "It depends on where I'm inserting this particular ingredient in our value. And so sometimes I want a builder and an engineer, sometimes I want an integrator, sometimes I want an activator. Because they're playing more of a coordinating function—a weaving, stitching-together function."
Together, these research insights underscore a clear shift in enterprise expectations: from experimenting with AI tools to partnering with AI Builders that can design, build, integrate, and operate AI systems at scale— in alignment with client governance, security, and risk‑management frameworks and with lasting business impact.
These findings align with recent remarks by Babak Hodjat, Chief AI Officer at Cognizant, who noted that enterprises are far from being able to rely on AI "out of the box." In interviews with Fortune and Reuters, Hodjat emphasized that while agentic and generative AI systems are advancing rapidly, organizations still need significant help engineering, integrating, governing, and operating these systems in ways that support client safety, reliability and governance requirements within complex enterprise environments.
AI decision makers rated IT services firms like AI builders highest in their ability to assist with their AI adoption (ahead of SaaS providers, cloud providers, AI model companies, AI startups and management consultancies). The research also finds that IT services firms are trusted across the AI adoption lifecycle—especially in ongoing management of AI-enabled systems, but also in AI strategy, custom AI solution development, increasing organizational productivity and scaling AI across the enterprise. IT services firms have a 23% trust advantage over management consultancies in AI adoption. While management consultancies benefit from strong brand recognition, they are seen as less credible in hands-on AI implementation.
About the Research
Cognizant's research findings are based on quantitative research conducted in November 2025 with 600 AI decision makers, and qualitative interviews conducted in October 2025 with 38 business and technology leaders in the United States, Germany, Singapore and Australia with AI decision making responsibility. The full report can be found here: How ai is reshaping business & empowering workforces | Cognizant
About Cognizant
Cognizant (NASDAQ: CTSH) is an AI builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
For more information, contact:
U.S.
Name: Gabrielle Gugliocciello
Email: gabrielle.gugliocciello@cognizant.com
Europe / APAC
Name: Sarah Douglas
Email: sarah.douglas@cognizant.com
India
Name: Vipin Nair
Email: Vipin.Nair@cognizant.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Cognizant Research Shows Plug-and-Play AI is a Myth
