It's a marketing department. You set the direction. Mira, your CMO, is your single point of contact — and behind her, a bench of AI specialists each doing one job exceptionally well, then reporting back to her. She assembles their work into what you asked for.
Mira is the person you talk to. The specialists are AI workers she uses behind the scenes. You get the outputs — audience insights, copy variants, creative direction, campaign setup, plain-English reporting, and approved follow-up. The names and faces below are illustrative, not real people.
MMira directs nine specialists. Each does one job, then reports up to her ↓
Each specialist carries a real toolkit — analytics, ad platforms, search, design and video engines — and chooses the right tool for the task in front of it, digging only as deep as the answer needs. That judgement is what makes the work good; Mira is only as sharp as the specialist she hands it to.
DS"I find the truth before anyone spends a rupee."
How Dev decides: picks the lightest source that answers the question — a quick web scan, a deep full-page read of a competitor, or your own GA4 / Search Console — and digs deeper only when a snippet won’t do.
AR"I turn the goal into a plan with dates and a budget split."
How Anaya decides: reads Dev’s findings and your goal, then chooses the right artifact — full plan, single-campaign brief, calendar, or budget split — matched to what you actually asked for.
KM"Every word that goes out, I wrote — and rewrote."
How Kabir decides: picks the format and voice each channel demands — a tight SMS vs a long-form blog — and grounds every line in your brand and the live plan, never generic.
LN"I make the visuals — art-directed, on-brand, never stock-y."
How Leela decides: per shot she chooses the medium — stock photo, AI image, branded template, or a talking-presenter reel — and for reels casts a presenter and voice that fit your market (e.g. a Hindi voice for an Indian brand).
AB"I actually send it — then I watch the replies come back."
How Arjun decides: routes each message to the right channel, respects send-and-approval rules, watches the replies, and escalates only what genuinely needs a human.
SK"I run the paid engine — and I kill the losers fast."
How Sara decides: reads live campaign performance and conversions, then scales, rebalances, or pauses — acting on the numbers, not a hunch.
NP"I tell you what worked — and exactly what it cost."
How Neha decides: pulls the exact metric, dimension and window a question needs across GA4, Search Console and the ad platforms, and composes them into one audit with plain-English flags.
RD"Clean lists, consented, scored — so nothing's wasted."
How Rohan decides: scores and segments by signal quality, and enforces consent and suppression before anything is allowed to send.
MJ"Nothing ships if it's off-brand or on the wrong side of the law."
How Maya decides: checks every asset against your brand and the forbidden-claims rules — part deterministic gate, part judgment — and bounces the risky calls up to you.
Because "a marketing AI" that tries to do everything in one pass is shallow at all of it. A researcher who only researches, a media buyer who only buys media, a brand cop who only says no — each one goes deep, and Mira holds them to a standard before the work reaches you.
It's how a real department works. The difference: this one never sleeps, remembers everything, and reports to you through one person.
You brief Mira. The department delivers.
Note: these are not real team members but AI agents who perform specific jobs they are trained for. The names are made up and the images are AI-generated.