AI is often marketed as a transformative solution for customer service, just switch it on, and your contact centre is expected to evolve into a sleek, intelligent operation. The promise? Instant support, hyper-personalised experiences, and seamless handovers, all delivered effortlessly.   

Let’s cut through the noise: it doesn’t work like that.   

I’ve spent enough time in the trenches and the boardroom, to know that AI isn’t a plug-and-play solution. It’s not a feature set. It’s a transformation. And like any meaningful transformation, it demands more than enthusiasm and software licenses. It requires strategy and executive buy-in.    

Customer service and support (CSS) leaders are under constant pressure to lead AI initiatives and prove their value. According to the 2025 Gartner® Business Buyer Survey, 93% of service and support technology buyers emphasized the importance of AI capabilities in their tech investments.¹  In our opinion, that’s a staggering number. But what worries me is how many of those investments are being made without a clear strategic foundation.   

When I talk to executives, I always ask: What problems are you solving with AI? Because too often, the real issue isn’t the tech, its misaligned goals, vague metrics, and disconnected teams. If we don’t start with clarity, we’re setting ourselves up to fail.   

Four Pillars of Successful AI Implementation   

To roll out AI effectively, the Gartner Playbook for Successful AI Implementation in Service and Support recommends focusing on four foundational pillars. I thought it was interesting to see that only one of these pillars is technology related.   

1. Leadership Alignment: Start Your Strategy at the Top   

AI initiatives fall apart when leaders aren’t aligned. This is why leadership involvement is critical from day one. Stakeholders must agree on shared objectives and define what success looks like, whether it’s cost reduction, improved customer experience, agent empowerment, or all three.   

Scenario planning and ROI modeling help align expectations and build confidence. Regular steering committee meetings with cross-functional leaders maintain momentum, ensure accountability, and allow for course correction as the project evolves.   

At AnywhereNow, we’ve seen how regular steering committees and shared accountability keep momentum alive. And we’ve seen what happens when executives skip this step: wasted spend, stalled projects, and frustrated teams.   

2. Technology Strategy: Don’t Just Buy – Build with Purpose   

Once we know what we’re solving, the business can build a roadmap. Not a feature checklist, but a strategic plan. Leaders should identify high-impact use cases that solve real problems, assess build-versus-buy options, and prioritize quick wins that lay the foundation for more advanced capabilities. Executives shouldn’t be chasing shiny objects. They should be solving real problems with the right tools, at the right time, in the right way.   

3. Data Readiness: Trust Begins with Clean Data   

AI is only as good as the data behind it. We’ve all heard about AI hallucinations and misinformation. That’s why data hygiene is a strategic imperative. Therefore, my advice before you launch anything is to audit data architecture, refresh knowledge programs, and establish governance for ongoing quality.   

This isn’t just technical diligence; it’s about trust. If your AI can’t be trusted, your customers won’t stick around.   

4. People Preparedness: Culture Is the Real Catalyst   

AI can be intimidating. I’ve seen teams resist it because they fear being replaced. That’s why we encourage our customers to invest in change management and training early. When agents understand how AI supports them, not replace them, adoption skyrockets.   

This is more than a tech rollout. It’s a cultural shift. And if your people aren’t ready, your strategy won’t resonate, and you won’t realise the business outcomes the Board planned at the outset.   

Start Small, Win Fast, Think Big   

Being strategic and having a vision doesn’t mean going slowly. I always encourage companies to start with low-risk, high-reward capabilities that deliver immediate value. Summarisation tools, intelligent routing, knowledge assist; these aren’t just tactical wins. They’re proof points. They build confidence and momentum quickly.   

Furthermore, these capabilities don’t require massive infrastructure changes or deep technical expertise. They’re strategic steppingstones toward deeper transformation and more advanced customer service and AI integration.   

AI Is a Spectrum, not a Destination   

I regularly remind our customers that AI isn’t binary. It’s a spectrum, from simple automation to predictive intelligence. You don’t need to leap to the endgame. Start where you are, learn fast, and build forward towards more sophisticated solutions. The companies winning with AI aren’t the ones with the flashiest tech. They’re the ones with the clearest strategy and vision, strongest executive alignment, and the courage to lead with purpose.   

My advice, if you’re serious about AI, is to stop chasing features and start building a strategy. At AnywhereNow, that’s exactly what we help our customers do, cut through the noise, build with confidence, and unlock real value from AI. Not one day. Today. 

In 2026, economic, cultural, and regulatory differences across the region will inform technology strategies that emphasize resilience, utility, and cost-effectiveness over hype. Key highlights from Forrester’s 2026 Asia Pacific predictions include: 

• Sovereignty will shape AI infrastructure choices for half of firms. The rise of “diverse cloud” strategies across the Association of Southeast Asian Nations, blending US hyperscalers, Chinese cloud giants, and domestic providers, will be a pragmatic approach to managing geopolitical uncertainty and safeguarding national sovereignty over foundational infrastructure. 

• One-third of firms will waste resources on performative IT product shifts. To meet AI aspirations, many APAC organizations will rebrand delivery teams as product teams without true cultural and operational transformation, resulting in inefficiencies and missed outcomes. 

• The EV boom will drive Chinese hyperscalers to double their growth in APAC. As Chinese electric vehicles dominate regional markets, APAC enterprises are expected to mimic consumer trends of prioritizing utility, price, and innovation, expanding their adoption of Chinese technology platforms despite sovereignty concerns. 

“In 2026, leaders in the Asia Pacific region will need to recalibrate their tech strategies to factor in local realities while staying globally competitive,” said Dane Anderson, SVP of international research and product at Forrester. “From managing sovereignty concerns and addressing quantum threats to operating in a rapidly evolving cloud landscape, regional business and technology leaders are shifting from proving the value of digital transformation to amplifying its ROI. Our insights are designed to guide leaders in making grounded, high-impact decisions that deliver resilience, utility, and long-term growth.” 

• 33% of firms are actively developing proprietary AI agents in-house, though only 10% have deployed at scale
• Nearly half of banks and insurers are creating new jobs to supervise AI agents

Paris, November 12, 2025 – Financial institutions are actively moving key customer-facing processes to AI agents, marking a rapid transformation in how customers interact with banks and insurers. According to the Capgemini Research Institute’s World Cloud Report in Financial Services 2026, the top processes for banks to deploy cloud-native, AI agents at scale include customer service (75%), fraud detection (64%), loan processing (61%) and customer onboarding (59%). Insurers display a similar pattern, with customer service also leading the way (70%), followed by underwriting (68%), claims processing (65%), and onboarding (59%) – collectively redefining the concept of what it means to be a financial services customer.

Recent data from the Capgemini Research Institute shows that AI agents could deliver up to $450 billion in economic value by 2028, signaling the opportunity that exists for the financial services industry. To capitalize on this opportunity, 33% of banks say they are developing their own AI agents in-house, while 48% of financial institutions are creating new roles for employees to supervise agents.

With AI agents capable of autonomously managing complex workflows, the role of cloud is shifting beyond just an infrastructure or storage provider. Nearly two-in-three executives (61%) now identify cloud-based orchestration as critical to their AI strategy, transforming cloud platforms into innovation engines that can operationalize technologies at speed and scale.

“The combination of AI and cloud allows banks and insurers to tap the power of AI agents to better serve their customers with greater precision, speed and impact,” said Ravi Khokhar, Global Head of Cloud for Financial Services at Capgemini. “Our data reveals widespread industry optimism that the agentic era will open doors to new markets, signaling a new phase of transformation is upon us. To realize this potential, financial institutions must take a long-term view as humans work alongside agents. This means separating substance from hype. Leaders will need to consider how they can scale their agentic AI operation overtime, with a vision of what they want their businesses to look like at the end of this process.”

Only 10% of firms have implemented AI agents at scale

AI agent adoption is poised for rapid growth as 80% of financial services firms are in the ideation or pilot stage of deployment. However, a sizable opportunity remains to be unlocked as only 10% of firms surveyed have implemented AI agents at scale.

According to the report, banking and insurance executives identify customer onboarding and ‘Know-Your-Customer’ (KYC), processing loans and claims, and underwriting as the most inefficient business functions across the sector.  Firms are optimistic that agentic AI can address these longstanding challenges, with real-time decision-making (96%), improved accuracy (91%) and faster turnaround times (89%) cited as key benefits.

Beyond efficiencies, executives view AI agents as capable of delivering real business outcomes:

• 92% say that AI agents will help them expand into new geographies without heavy upfront infrastructure
• 79% believe cloud-native AI agents can unlock dynamic pricing and offers, maximizing revenue and outmaneuvering competitors
• 75% see an opportunity for delivering multilingual support that adapts to local regulations and cultural norms

With immense potential to become a force multiplier across the enterprise, C-suite executives are aligning their investments accordingly: nearly two-in-three leaders indicate that up to 40% of their organization’s generative AI budget today is allocated specifically toward agent technologies. By 2028, one-in-four firms expect to increase their spending on AI agent solutions by up to 60%.

Banks face lingering challenges to adoption

As financial institutions ramp up adoption of generative AI and AI agents, nearly all executives unanimously point to two critical roadblocks: a looming skills gap among business leaders and employees (92%) and a regulatory and compliance burden (96%). While expressing concern about the complexity of managing region-specific regulatory mandates, most executives (89%) simultaneously place compliance at the top of their organizational priorities over the next three years.

High implementation costs also emerge as a barrier to delivering real returns on AI investment. A growing number of firms (25%) are leaning towards the service-as-a-software model in the next 12-to-18 months, orchestrating a new approach for how AI is consumed and monetized. Rather than paying for licenses and infrastructure, firms will pay for outcomes such as fraud cases resolved, transactions processed, or customer queries handled.

• Sonatype is headquartered in Fulton, Maryland with global offices in the United Kingdom, Australia, Colombia, and now HITEC City, Hyderabad, India.
• Sonatype is the leader in AI-driven DevSecOps. Aiming to generate more than 1,000 jobs in the region, the centre is poised to become a key driver in delivering strong solutions to clients across the globe.

Hyderabad, India, November 10, 2025 – Sonatype, the leader in AI-driven DevSecOps, today celebrated the grand opening of its Innovation Hub in Hyderabad, India, with a ribbon-cutting ceremony attended by global and regional leadership. The new hub represents a major milestone in Sonatype’s global expansion, strengthening its commitment to AI innovation, open source security, and 24/7 global product delivery.

The new office was inaugurated on November 10, 2025 by Sanjay Kumar, IAS, Special Chief Secretary at the Government of Telangana; Sai Krishna, IT Advisor to the Minister of IT, Electronics, Communications, Industries & Commerce, Government of Telangana; Sreekant Lanka, Chief Strategy Officer at the Government of Telangana; Bhagwat Swaroop, CEO at Sonatype; Mitchell Johnson, Chief Product Development Officer at Sonatype; Abhishek Chauhan, Head of India and Senior Director of Technology at Sonatype; the Sonatype executive team, and other industry leaders and partners graced the occasion.

Dudilla Sridar Babu, Cabinet Minister for Information Technology (IT), Electronics, Communications, Industries, Commerce and Legislative Affairs Departments of the Telangana Government said, “I am proud to see Hyderabad leading India and the world in AI and open source driven innovation. The Government of Telangana has created a thriving economy and talent pool that is catapulting it to the top of the global investment industry. Sonatype has long led the industry in pioneering secure software development, advising global governments on software supply chain regulation, and guiding organizations as they enter the AI era. I believe Sonatype’s India Innovation Center will be a cornerstone in keeping Hyderabad at the forefront of innovation”.

Rooted in its open source origins as the stewards of the world’s largest Java repository,  Maven, Central and Nexus Repository, Sonatype has shaped how developers build, share, and secure software for over two decades. This investment in India underscores Sonatype’s ongoing mission to empower developers and enterprises to build software intelligently and securely, especially in the era of gen AI-driven development.

“India is leading a global technology transformation — not only as a hub for engineering excellence, but as a model for how nations can embrace AI responsibly and securely,” said Bhagwat Swaroop, CEO of Sonatype. “Hyderabad has become a magnet for the world’s most innovative companies, making India the epicenter of software development powered by open source and AI. With the launch of our India Innovation Hub, Sonatype is tapping into one of the world’s most dynamic technology ecosystems — accelerating innovation that benefits not just India, but the global developer community.”

The Hyderabad Innovation Center will serve as Sonatype’s largest and fastest-growing R&D hub, housing over 200 engineers, product leaders, data scientists, and AI experts, expanding Nexus ecosystem support and advancing automation, scalability, and customer experience. The team will focus on developing cutting-edge innovations in AI/ML-driven security, cloud-native software development, and open source intelligence — expanding Sonatype’s capabilities to safeguard the global software supply chain. Sonatype will also continue serving as an educational partner as organizations adapt to an evolving regulatory landscape, including CERT-IN guidelines, SBOM compliance, and the SEBI Cyber Resilience Framework

“Our Hyderabad Innovation Hub represents Sonatype’s belief in the power of local talent to make a global impact,” said Abhishek Chauhan, Head of India and Senior Director of Technology, Sonatype. “This isn’t just a new office — it’s where some of the brightest minds in engineering, open source, and AI will help shape the future of secure software development for the world.”

Honoring Cybersecurity Awareness Month

This Cybersecurity Awareness Month, we’re not just fighting today’s headline-grabbing cyber threats, but we’re also preparing for tomorrow’s. Technology is evolving at a pace that is both fueling progress for defenders and powering new tools for bad actors. The same advances that drive discovery and innovation also give cybercriminals new ways to attack faster, more broadly and with greater impact. One of the clearest examples of this dual advancement is quantum computing: a breakthrough that could change the world for good, but also put the very foundations of online security at risk.

What is Quantum Computing?

Quantum computing is an emerging technology that processes information in ways traditional computers never could. Instead of working through one calculation at a time, quantum machines harness the principles of quantum mechanics to evaluate countless possibilities simultaneously.

That power has tremendous upside – potentially accelerating breakthroughs in medicine, science and engineering – but also creating a profound security challenge. Once fully realized, quantum computers will be able to break the public-key cryptography in use today, including RSA and Elliptic Curve Cryptography (ECC). These aren’t niche tools: they secure almost everything online. From the HTTPS connections that protect your browsing to digital signatures on software, as well as online banking, healthcare systems, government platforms and consumer accounts – encryption is the trust layer of the internet.

And most of it is not quantum-resistant. While the U.S. National Institute of Standards and Technology (NIST) has begun standardizing quantum-safe encryption algorithms, including Kyber, they are not yet widely deployed. That means the logins and records you create today could be tomorrow’s open doors.

Large-scale quantum computers aren’t publicly available yet, but waiting for them to arrive is a mistake. Cybercriminals aren’t waiting – many have already started preparing.

The “Harvest Now, Decrypt Later” Threat

Hackers understand that quantum power is coming, and they’re planning ahead. Their strategy is simple: steal encrypted data now, knowing they’ll be able to decrypt it later. This “harvest now, decrypt later” approach means that stolen banking details, medical records or login credentials, which are protected currently with strong encryption, could be cracked years down the road – long after the original breach is forgotten.

Weak security practices make this problem worse. Keeper Security research shows that only 30% of people regularly update their passwords, leaving 70% exposed. Even more concerning, 41% reuse the same passwords across accounts, creating an easy opening for credential-stuffing attacks, where one stolen password is used to break into multiple accounts. These everyday habits give cybercriminals exactly the weaknesses they can exploit – whether now or in the quantum era.

Start Preparing Today for the Quantum Shift

The best way to defend against tomorrow’s quantum-enabled attacks is to act now. Leading organizations are already evaluating, developing and deploying quantum-resistant encryption, including NIST-approved algorithms like Kyber, to build in future-ready protections.

Individuals and businesses alike can prepare by taking proactive steps:

• Stay aligned with standards: Be sure to stay up-to-date on official guidelines and standards. Organizations should follow trusted guidance from NIST and the Cybersecurity and Infrastructure Security Agency (CISA).
• Update and patch regularly: You don’t need to track every technical update, but you should ensure the tools and providers you utilize are up to date with the latest security standards. Ensuring that products are regularly updated is critical, as patches often contain critical security fixes to keep your information secure.
• Vet your providers: Don’t just trust that a product is secure – verify it. Use products that meet and surpass compliance requirements, especially those that are looking to the future. When selecting a product for yourself or your organization, vet it thoroughly against standards that are relevant to your needs.
• Reinforce best practices: As always, following existing best practices is the best way to protect yourself now and later. Use strong, unique passwords and change them regularly to defend against both current and future attack methods. The easiest way to manage them is with a trusted password manager, which generates strong passwords and stores them securely. Store sensitive information in secure, encrypted environments – not browsers, shared documents or sticky notes.
• Monitor for exposure: Every minute counts when your information is stolen. Organizations and individuals should use monitoring services that can alert them if their data appears on the dark web, so they can take immediate action.

And don’t abandon today’s encryption. Current standards remain highly effective and are essential to protecting your data today. The challenge is preparing for a post-quantum future while continuing to safeguard the world we live in right now.

Moving Into a Post-Quantum World

Quantum computing and its implications may sound daunting, but the path forward is clear. Strong, proactive measures taken today will help ensure a safer tomorrow.

This Cybersecurity Awareness Month, let’s recognize that preparing for the future is as important as defending against present threats. By reinforcing best practices, demanding future-proof tools and supporting the shift to quantum-resistant encryption, we can secure not only today’s digital world, but the post-quantum world we are heading toward.