MAM
Sudhanshu Vats to helm Asci in landmark 40th year
MUMBAI: Pidilite Industries managing director Sudhanshu Vats has been elected chairman of the Advertising Standards Council of India (Asci) at its 39th annual general meeting, taking charge as the country’s advertising regulator-by-consensus enters its fourth decade.
MullenLowe Global chief strategy officer S Subramanyeswar moves in as vice-chairman, while industry veteran Paritosh Joshi of Provocateur Advisory becomes honorary treasurer.
Founded in 1985 as a voluntary self-regulatory body, Asci is recognised by the Cable TV Act, Doordarshan, All India Radio and several key regulators. Its consumer complaints committee enjoys extraordinary acceptance for a voluntary code: in FY 2024-25, compliance hit 98 per cent for print advertising, 97 per cent for television and 81 per cent for digital. The supreme court has repeatedly cited Asci’s role in consumer protection.
Vats said the council’s job has “never been more important” as advertising mutates with technology and new formats. “Our responsibility is to ensure advertising is executed with integrity—centred on the product promise, respectful of the community and mindful of consumers,” he told members. “Self-regulation provides guidance to the industry and assurance to the public. The simple principle is to keep the consumer’s interest front and centre.”
Outgoing chairman Partha Sinha called his tenure “a comma in a sentence that keeps unfolding”. Over the past years, he said, Asci has “moved from being a watchdog to an enabler of responsible communication—partnering, not just policing,” and stepped “firmly into the digital arena, because responsibility cannot lag behind technology.”
To mark its fortieth year, the council unveiled an ambitious agenda:
* AdWise literacy drive – training more than a million schoolchildren to identify, question and evaluate advertising messages, reducing their vulnerability to misleading or harmful pitches.
* Gen-Alpha research – an ethnographic study of children born into the touchscreen age to craft a framework for responsible advertising to the next generation.
* New city offices – expansion of Asci’s physical footprint to Bengaluru and Delhi to deepen engagement across India.
* Legal knowledge hub – a comprehensive online resource on advertising codes and laws, developed with leading law firm Khaitan & Co.
* Podcast partnerships – a new series with The Logical Indian and Marketing Minds to spread awareness of responsible advertising.
* Visual commitment badge – a mark members can display in their communications and on websites to signal adherence to the Asci code.
Asci’s influence has widened well beyond complaint adjudication. The Asci Academy now drives education and thought leadership through masterclasses for marketers, faculty development programmes in media and advertising colleges, and a pre-production advisory service that helps advertisers check compliance before campaigns go live—avoiding costly post-release fixes.
In recent years the council has published widely cited white papers on dark patterns, artificial intelligence in advertising, the depiction of masculinity and the trust deficit around digital influencers. It has issued pioneering guidelines on influencer conduct, cryptocurrency, green claims and gender stereotyping, earning two global awards for leadership in self-regulation.
Looking ahead, Vats said Asci will “strengthen global partnerships and knowledge exchange with peer bodies worldwide, and invest in research, innovation and frameworks that respond to the realities of digital-first advertising.”
For a voluntary body that began as a modest industry code, the next chapter promises to be anything but quiet.
MAM
Madison World to launch AI platform M BrAIn for media planning
Agency group invests about $1 million as it shifts to AI driven growth planning.
MUMBAI: If media planning once ran on spreadsheets and gut instinct, the next chapter may run on algorithms and curiosity. Madison World is preparing to roll out the first version of its proprietary artificial intelligence platform Madison M BrAIn in early April, as the independent agency group accelerates its transition toward AI driven planning and product led media services.
The platform, expected to involve an investment of around $1 million, is designed to reshape how the agency approaches strategy by combining internal knowledge, external data sources and advanced AI models into a single intelligence ecosystem.
According to Madison Media, OOH and Hiveminds partner and group CEO Ajit Varghese the initiative forms part of a larger structural rethink within the organisation. “Traditionally agencies built frameworks around media planning and allocation. We are redesigning that structure into what we call a Growth Planning System (GPS),” Varghese said.
The shift reflects a growing belief that effective media strategy must begin earlier in the decision making process. Instead of jumping directly to channel allocation, planners must first decode the market itself identifying consumer barriers, purchase triggers and the core challenges facing a brand.
Once those insights are mapped, agencies can build clearer growth agendas for clients and design media strategies that connect more closely with business outcomes.
To support that approach, Madison has built Madison M BrAIn as what it describes as a human AI cognitive ecosystem. Acting as a central intelligence hub, the platform aggregates proprietary insights alongside external data sources and large language models, enabling planners to access deeper market intelligence before building campaign strategies.
Varghese said one of the core objectives is to democratise knowledge across the organisation. “In the past, this level of understanding was largely available to senior leaders or experienced strategists. With Madison M BrAIn, even a junior planner should be able to access the same intelligence and approach clients with a far more informed perspective,” he said.
The agency has already implemented the new planning philosophy internally and completed three months of testing for the AI platform, with early trials showing encouraging results in terms of learning capability and system performance.
While the first version relied on global large language models, Madison is now developing its own proprietary Small Language Model (SLM) to serve as the core of the M BrAIn ecosystem.
“The SLM will be able to read global LLMs, but the LLMs cannot read the SLM,” Varghese explained. “That ensures all the intelligence we build remains within the Madison ecosystem and strengthens our proprietary knowledge base.”
The first version of Madison M BrAIn is expected to go live in early April, with a more refined version targeted by the end of June. Over time, the platform will integrate additional external data streams and APIs including consumer insight platforms, social listening tools and client datasets.
These integrations are expected to enhance the system’s learning capability and enable it to generate increasingly sophisticated strategic recommendations.
Although the platform is currently being deployed for internal use, Madison sees potential for it to evolve into a licensable product in the future.
“At the moment, our focus is to stabilise and strengthen M BrAIn internally. But over time there is potential for this to become a product that could be licensed externally,” Varghese said.
The AI platform is also part of a wider technology transformation underway at the agency group. Alongside M BrAIn, Madison is building a broader digital infrastructure called the Catalyst operating system, which aims to integrate operational processes, data and product platforms into a unified ecosystem.
This broader technology stack could require an additional $1 million to $1.5 million investment over time, though spending will be phased and reviewed regularly.
“We are evaluating progress every three months and prioritising the most critical capabilities first,” Varghese said.
Madison expects the full AI and operating ecosystem to be fully functional within 12 to 18 months, positioning the agency to combine human strategy with machine intelligence as the advertising industry enters its next data driven phase.
