Published on: September 18, 2026
Ask anyone running advertising across e-commerce and quick commerce platforms about their biggest headache, and you’ll likely hear some version of the same story: too many logins, too many screens, not enough time. At a press briefing in Mumbai this week, Hector AI founder Meher Patel, a Wondrlab company, described this exact fatigue, and then made a case that sounds almost contrarian for an ad-tech company: the dashboard, long considered the backbone of advertising software, is the thing his company deliberately chose not to build.
Hector AI works with brands and agencies managing campaigns across Amazon, Blinkit, Instamart, Zepto, Nykaa and Flipkart. Each platform runs its own advertising console, and a brand usually ends up with a different person, or a different agency, managing each one. Something as simple as figuring out which platform sold a product like toor dal most profitably in a given week has traditionally meant logging into several systems and comparing numbers screen by screen.
Most competitors have answered this by building one dashboard that pulls everything into a single view. Hector took a different route. Instead of a dashboard, the company built what it calls an MCP, or Model Context Protocol layer, connecting a brand’s advertising data directly to AI models such as Claude or ChatGPT.
Patel’s argument was that having data isn’t the hard part anymore in retail media. Most platforms sit on roughly similar information. What matters, he said, is whether that data is structured well enough for an AI model to actually understand it and act on it, rather than just display it back on a screen.
In practice, this means someone can type or speak a question in plain language, inside an AI assistant rather than a custom-built screen, and get an answer pulled straight from their advertising numbers, with the option to act on it immediately. Patel demonstrated this live, asking which of a brand’s best-selling products had the strongest shelf availability over the past week, and watched the system build a working summary on the spot. He also described setting automated rules through a prompt alone, such as instructing the system to cut a campaign’s budget if it spends beyond a set amount while underperforming, with the check running daily without manual oversight.
Patel was clear that he sees Hector as an AI enabler rather than an AI company in its own right, distinguishing between building foundational models and building the layer that lets existing models work reliably with a brand’s own data without losing context. He referred more than once to Microsoft CEO Satya Nadella’s comments on AI’s disruptive effect on the SaaS industry, calling it something he took seriously early.
On data safety, a fair question whenever a business connects proprietary numbers to a third-party AI tool, Patel said the system retrieves only what a user specifically asks for, gated behind account-level permissions, and that the company holds ISO and SOC certifications. Hector AI is currently listed as an official connector inside Claude, based on the live demonstration shown at the briefing.
When Adtech Today asked Meher Patel what reaction from a client first made him feel that Hector’s approach was working, he recalled a request that signalled a growing level of trust in the agent:
“We began by helping clients execute bids, budgets and campaign creation through the agent. The moment it clicked for me was when a client asked if it could also monitor change history, harvest performing keywords and negate those not working. That request told me the agent had earned their trust, and they were ready to give it greater responsibility.”
Step back from Hector specifically, and the bigger question is one the advertising technology industry is only beginning to sit with: has the dashboard, as a category, reached its ceiling? For a decade, competitive advantage in ad-tech has largely meant building better visualisations of the same underlying data. If AI models can now interpret that data directly and act on it, the value may shift away from interface design and toward how cleanly a company’s data is structured to begin with. That’s a meaningful, if unproven, reordering of where the money and the differentiation in this industry could go next. Whether it plays out at scale, or remains one founder’s early conviction, is something worth watching over the coming year rather than something to declare settled today.
Read more: Hector Reinvents Quick Commerce Optimisation with an Outcome-Driven Platform
