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Showing posts with label Indian Companies. Show all posts

Marketing in India Is Getting an AI Upgrade – Here’s How



A transformation is underway in Indian marketing, though it is not being announced with glossy campaigns or loud product launches. Instead, it is taking shape quietly inside dashboards, chatbots, and automation platforms. The driver of this shift is “agentic AI” – software agents that do more than respond to instructions. They can plan, decide, and act with limited human prompting, and in doing so, they are redefining everyday marketing work.


From automation to autonomy

For years, companies used automation to schedule campaigns or process large datasets. Agentic AI moves beyond that. These systems manage workflows end-to-end, such as handling customer queries on WhatsApp, sending reminders at the right moment, or guiding a new customer through onboarding without human intervention. Early adopters report measurable results, including faster response times, higher campaign click-through rates, and grave time savings for marketing teams.

The advantage is not in flashy outcomes, but in fixing everyday problems that previously consumed entire teams. By taking on repetitive execution, these systems allow marketers to focus on strategy, creativity, and customer storytelling.


The three phases of adoption

Analysts describe agentic AI adoption in three stages.

Phase 1: Humans lead, with AI acting as an assistant, offering prompts and helping structure workflows.

Phase 2: Humans and AI agents work together, with agents acting as digital colleagues that can run their own processes.

Phase 3: Humans set strategy and direction, while agents execute, monitor, and report back, stepping in only when exceptions arise.

Indian firms are gradually moving from Phase 1 to Phase 2, with a few early leaders experimenting with Phase 3 models. This evolution requires employees to act less like operators and more like “agent managers,” overseeing performance and guiding outcomes.


Solving India’s unique challenges

The Indian market has particular complexities that make this shift of great importance. Agentic AI is being used to handle multilingual customer intent, to improve cash-on-delivery fraud checks, and to map diverse product ranges for quick discovery. These are not headline-grabbing functions, but they are the foundation of smoother customer experiences and stronger business performance.

The country’s digital scale makes even small improvements matter. With more than 800 million internet users and billions of monthly digital transactions, a one percent lift in engagement or conversion can translate into millions in revenue. Agentic AI’s ability to personalise communication in regional languages, adjust offers to local contexts, and time campaigns more precisely is proving especially valuable.


Balancing efficiency with trust

Despite these benefits, there are serious risks. Over-automation can make customer interactions feel mechanical or impersonal, undermining brand trust. AI systems trained on non-Indian data risk cultural missteps or bias. And with the Digital Personal Data Protection (DPDP) Act now in place, firms must be transparent about how customer data is collected and used.

Experts caution that companies must not treat AI as a replacement for human judgment. Indian marketing has always thrived on creativity, emotion, and cultural nuance – qualities that machines cannot replicate. The most successful organisations will treat agentic AI as an accelerator, not a substitute, ensuring humans remain in the loop for strategy, empathy, and storytelling.

The coming two years will be decisive. Businesses that invest now in agent platforms, employee training, and responsible guardrails are likely to gain a competitive edge as adoption becomes mainstream. Those who rely on AI only for cost-cutting, without focusing on customer trust or data protection, may risk losing credibility and market share.

For consumers, the change will likely feel subtle but impactful. Service queries will be answered more quickly, product recommendations will become more relevant, and campaigns will appear in local languages with cultural sensitivity. At the same time, human marketers will continue to shape the big ideas, emotional narratives, and ethical safeguards that AI cannot provide.

Agentic AI is not replacing marketing teams; it is redefining their roles. The future of Indian marketing lies in this partnership – where machines handle the execution, and people bring the judgment, creativity, and trust that truly connect with customers.


Employee Use of 'Shadow IT' Elevates Cyber Attack Risks for Indian Firms

 

In India, a recent report indicates that approximately 89% of companies faced cyber incidents within the past two years. Alarmingly, 20% of these breaches were attributed to the utilization of shadow IT, as per findings from a study.

This surge in cyber threats is significantly linked to the adoption of shadow IT by employees, a trend catalyzed by the shift towards remote work setups, states a study conducted by Kaspersky, a cybersecurity firm.

Globally, over the last two years, 11% of companies experienced cyber incidents due to the unauthorized use of shadow IT by their workforce.

Shadow IT refers to the section of a company’s IT structure that operates outside the oversight of IT and Information Security departments. This includes applications, devices, and public cloud services used without compliance to information security protocols.

Alexey Vovk, Head of Information Security at Kaspersky, highlighted that employees using unapproved IT resources often assume that reputable providers guarantee safety. However, these third-party providers outline a 'shared responsibility model' in their terms, indicating that users must conduct regular software updates and take accountability for related incidents, including corporate data breaches.

Effectively managing shadow IT remains a critical need for businesses. Mishandling or operating outside IT protocols can lead to severe repercussions. The Kaspersky study noted that the IT industry bore the brunt, accounting for 16% of cyber incidents resulting from unauthorized shadow IT use between 2022 and 2023.

Additionally, critical infrastructure, transport, and logistics sectors were affected, with 13% of reported attacks attributed to this issue, as per the report's findings.