Mamaearth parent Honasa makes Vipul Maheshwari its CPTO to lead an agentic AI push

Honasa Consumer has named Vipul Maheshwari as CPTO, where he will head its agentic AI strategy and reinforce technology-driven business growth.

Related: Enterprise AI startup Ema raises $77 million in Series B funding led by Creaegis

Honasa Consumer Limited, the parent company of Mamaearth, has promoted Vipul Maheshwari to Chief Product and Technology Officer (CPTO), effective October 23, 2026.

In this new position, Maheshwari will be responsible for product, technology, engineering and analytics. His main focus will be to drive Honasa’s artificial intelligence (AI) strategy, which includes building agentic AI systems capable of handling multi-step tasks with suitable human oversight.

The appointment comes as Honasa seeks to embed technology more deeply into its business operations. The company is building AI-powered tools and intelligent workflows to streamline processes, automate repetitive tasks and enable teams to make decisions more quickly.

In addition, Maheshwari’s promotion highlights Honasa’s emphasis on growing leadership from within. His background in product development and data analytics is expected to help the company convert its AI ambitions into practical business solutions.

Vipul Maheshwari has devoted roughly six years to developing Honasa Consumer’s product and data capabilities. Prior to his most recent promotion, he was Executive Vice President of Product and Data and a member of the company’s senior management team.

During his time at Honasa, his work has centered on merging business insights, analytics and technology to tackle organisational challenges. That experience is pertinent as the company progresses toward more connected, AI-driven operations.

Education and Prior Experience

Maheshwari earned a master’s degree in Mathematics and Computer Science from the Indian Institute of Technology Delhi (IIT Delhi).

Prior to joining Honasa Consumer in August 2020, he worked at the logistics company Delhivery and at Global Analytics India. His background covers data-driven business solutions, advanced analytics, and product management.

This blend of technical expertise and business experience may enable him to spot opportunities where AI can enhance everyday operations.

Furthermore, his knowledge of Honasa’s existing data and product systems could help advance the development of AI capabilities across the company’s brand portfolio.

Agentic AI describes artificial intelligence systems capable of pursuing a goal by performing several interconnected tasks. Unlike a simple AI tool that answers a single question, an AI agent can follow a workflow, draw on available information and coordinate various steps, within the limits of its permissions and safeguards.

For instance, a conventional AI tool might summarise sales data when prompted. A system built on agentic AI could potentially analyse the data, spot unusual changes, draft a report and submit it for human review.

These examples illustrate agentic AI capabilities in general and are not confirmed deployments at Honasa.

The company intends to go beyond standalone AI applications and create intelligent workflows that link processes throughout its business. Human oversight will stay essential whenever systems handle decisions or tasks that call for judgement.

Honasa oversees a number of beauty and personal care brands. As the business expands, linking data and workflows across various teams becomes increasingly essential.

AI-driven systems may be able to assist with the following:

• Faster decision-making: Organising business information and preparing insights for teams.
• Process automation: Cutting down on repetitive manual work by connecting workflows.
• Operational efficiency: Helping teams coordinate tasks and reach the information they need.
• Scalable operations: Backing business processes as the company grows its brand portfolio.

The real benefits will hinge on how Honasa implements these systems, tracks their performance and handles risks. Even so, the strategy points to a move toward using AI as part of day-to-day business operations rather than as a standalone tool.

Honasa Consumer runs a portfolio of beauty and personal care brands, such as Mamaearth, The Derma Co, Aqualogica and BBlunt. Handling several brands means coordinating product development, customer insights, marketing, technology and other business functions.

AI could assist in linking these activities and making information simpler to use across teams.

1. Making Better Use of Business Data

Analytics driven by AI can assist teams in organising large amounts of information and spotting patterns. When paired with dependable data and human judgement, these insights can aid planning and decision-making.

2. Workflows That Are Better Connected

Agentic AI systems are capable of coordinating several steps within a single process. For example, a workflow might collect information, produce an analysis, and send the result to the right team for review.

This could cut down on delays that arise from disconnected tools and manual handovers.

3. Encouraging Business Expansion

As Honasa grows its operations, technology can assist in standardising processes and enhancing coordination. AI-powered workflows can contribute to this by making routine tasks more efficient.

Yet AI by itself cannot ensure higher sales or improved customer results. The outcome will hinge on the quality of implementation, the accuracy of data and how well teams apply the insights generated.

This appointment unites product, technology, engineering and analytics under a single leader. Such a structure could make it simpler to align product development with the company’s broader technology strategy.

It also puts a senior leader who already understands Honasa’s systems in charge of its next phase of AI development.

As stated in the company’s announcement, the aim is to build scalable AI-powered systems that boost productivity, support better decisions and generate measurable business value.

The real challenge will be converting this ambition into tangible results. Honasa will need to pinpoint suitable use cases, put proper safeguards in place and assess whether its AI systems produce meaningful improvements.

If implemented well, connected AI workflows could help the company handle complexity as its portfolio expands.

With Vipul Maheshwari serving as CPTO, Honasa Consumer is reinforcing its leadership framework around product development and technology. The company intends to push forward its AI-driven transformation by building intelligent workflows and investigating agentic systems capable of carrying out multi-step processes with human oversight.

The coming phase will involve turning these plans into scalable capabilities throughout its operations. Progress will hinge on how effectively Honasa integrates its existing data systems, sets business priorities and assesses the impact of automation.

For the broader consumer industry, this development also signals a rising interest in applying AI beyond content generation and customer-facing chatbots. Companies are increasingly looking for ways to link AI with internal workflows and operational decisions.

All in all, Honasa’s appointment of Vipul Maheshwari as CPTO represents a significant step in its technology strategy. His experience in product and data could assist the company in building AI capabilities that enable more efficient operations, smarter decision-making and sustainable growth.